Advances in Neural Information Processing Systems 37

NeurIPS 2024

Edited by A. Globerson and L. Mackey and D. Belgrave and A. Fan and U. Paquet and J. Tomczak and C. Zhang

ISBN: 9798331314385

4494 papers

MicroAdam: Accurate Adaptive Optimization with Low Space Overhead and Provable Convergence Ionut-Vlad Modoranu, Mher Safaryan, Grigory Malinovsky, Eldar Kurtic, Thomas Robert, Peter Richtárik, Dan Alistarh
Main Conference Track
GITA: Graph to Visual and Textual Integration for Vision-Language Graph Reasoning Yanbin Wei, Shuai Fu, Weisen Jiang, Zejian Zhang, Zhixiong Zeng, Qi Wu, James T. Kwok, Yu Zhang
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How does PDE order affect the convergence of PINNs? Changhoon Song, Yesom Park, Myungjoo Kang
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Fair Wasserstein Coresets Zikai Xiong, Niccolò Dalmasso, Shubham Sharma, Freddy Lecue, Daniele Magazzeni, Vamsi K. Potluru, Tucker Balch, Manuela Veloso
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Improved Regret for Bandit Convex Optimization with Delayed Feedback Yuanyu Wan, Chang Yao, Mingli Song, Lijun Zhang
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Enhancing Chess Reinforcement Learning with Graph Representation Tomas Rigaux, Hisashi Kashima
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Mixtures of Experts for Audio-Visual Learning Ying Cheng, Yang Li, Junjie He, Rui Feng
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Learning Place Cell Representations and Context-Dependent Remapping Markus Pettersen, Frederik Rogge, Mikkel Elle Lepperød
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Robust Sparse Regression with Non-Isotropic Designs Chih-Hung Liu, Gleb Novikov
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Training-Free Adaptive Diffusion with Bounded Difference Approximation Strategy Hancheng Ye, Jiakang Yuan, Renqiu Xia, Xiangchao Yan, Tao Chen, Junchi Yan, Botian Shi, Bo Zhang
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Chain of Preference Optimization: Improving Chain-of-Thought Reasoning in LLMs Xuan Zhang, Chao Du, Tianyu Pang, Qian Liu, Wei Gao, Min Lin
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Decompose, Analyze and Rethink: Solving Intricate Problems with Human-like Reasoning Cycle Shangzi Xue, Zhenya Huang, Jiayu Liu, Xin lin, Yuting Ning, Binbin Jin, Xin Li, Qi Liu
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UQ-Guided Hyperparameter Optimization for Iterative Learners Jiesong Liu, Feng Zhang, Jiawei Guan, Xipeng Shen
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Occupancy-based Policy Gradient: Estimation, Convergence, and Optimality Audrey Huang, Nan Jiang
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TimeXer: Empowering Transformers for Time Series Forecasting with Exogenous Variables Yuxuan Wang, Haixu Wu, Jiaxiang Dong, Guo Qin, Haoran Zhang, Yong Liu, Yunzhong Qiu, Jianmin Wang, Mingsheng Long
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DrivAerNet++: A Large-Scale Multimodal Car Dataset with Computational Fluid Dynamics Simulations and Deep Learning Benchmarks Mohamed Elrefaie, Florin Morar, Angela Dai, Faez Ahmed
Datasets and Benchmarks Track
DomainGallery: Few-shot Domain-driven Image Generation by Attribute-centric Finetuning Yuxuan Duan, Yan Hong, Bo Zhang, Jun Lan, Huijia Zhu, Weiqiang Wang, Jianfu Zhang, Li Niu, Liqing Zhang
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Collaborative Cognitive Diagnosis with Disentangled Representation Learning for Learner Modeling Weibo Gao, Qi Liu, Linan Yue, Fangzhou Yao, Hao Wang, Yin Gu, Zheng Zhang
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AutoManual: Constructing Instruction Manuals by LLM Agents via Interactive Environmental Learning Minghao Chen, Yihang Li, Yanting Yang, Shiyu Yu, Binbin Lin, Xiaofei He
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Slot-VLM: Object-Event Slots for Video-Language Modeling Jiaqi Xu, Cuiling Lan, Wenxuan Xie, Xuejin Chen, Yan Lu
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VASA-1: Lifelike Audio-Driven Talking Faces Generated in Real Time Sicheng Xu, Guojun Chen, Yu-Xiao Guo, Jiaolong Yang, Chong Li, Zhenyu Zang, Yizhong Zhang, Xin Tong, Baining Guo
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Community Detection Guarantees using Embeddings Learned by Node2Vec Andrew Davison, S. Carlyle Morgan, Owen G. Ward
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Physics-Informed Regularization for Domain-Agnostic Dynamical System Modeling Zijie Huang, Wanjia Zhao, Jingdong Gao, Ziniu Hu, Xiao Luo, Yadi Cao, Yuanzhou Chen, Yizhou Sun, Wei Wang
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Improving Sparse Decomposition of Language Model Activations with Gated Sparse Autoencoders Senthooran Rajamanoharan, Arthur Conmy, Lewis Smith, Tom Lieberum, Vikrant Varma, János Kramár, Rohin Shah, Neel Nanda
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Bench2Drive: Towards Multi-Ability Benchmarking of Closed-Loop End-To-End Autonomous Driving Xiaosong Jia, Zhenjie Yang, Qifeng Li, Zhiyuan Zhang, Junchi Yan
Datasets and Benchmarks Track
Deep Policy Gradient Methods Without Batch Updates, Target Networks, or Replay Buffers Gautham Vasan, Mohamed Elsayed, Alireza Azimi, Jiamin He, Fahim Shariar, Colin Bellinger, Martha White, A. Rupam Mahmood
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Towards Understanding How Transformers Learn In-context Through a Representation Learning Lens Ruifeng Ren, Yong Liu
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FINALLY: fast and universal speech enhancement with studio-like quality Nicholas Babaev, Kirill Tamogashev, Azat Saginbaev, Ivan Shchekotov, Hanbin Bae, Hosang Sung, WonJun Lee, Hoon-Young Cho, Pavel Andreev
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Learning from Teaching Regularization: Generalizable Correlations Should be Easy to Imitate Can Jin, Tong Che, Hongwu Peng, Yiyuan Li, Dimitris N. Metaxas, Marco Pavone
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Prospective Representation Learning for Non-Exemplar Class-Incremental Learning Wuxuan Shi, Mang Ye
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SPO: Sequential Monte Carlo Policy Optimisation Matthew V Macfarlane, Edan Toledo, Donal Byrne, Paul Duckworth, Alexandre Laterre
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Differentiable Modal Synthesis for Physical Modeling of Planar String Sound and Motion Simulation Jin Woo Lee, Jaehyun Park, Min Jun Choi, Kyogu Lee
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FEDMEKI: A Benchmark for Scaling Medical Foundation Models via Federated Knowledge Injection Jiaqi Wang, Xiaochen Wang, Lingjuan Lyu, Jinghui Chen, Fenglong Ma
Datasets and Benchmarks Track
GTSinger: A Global Multi-Technique Singing Corpus with Realistic Music Scores for All Singing Tasks Yu Zhang, Changhao Pan, Wenxiang Guo, Ruiqi Li, Zhiyuan Zhu, Jialei Wang, Wenhao Xu, Jingyu Lu, Zhiqing Hong, Chuxin Wang, LiChao Zhang, Jinzheng He, Ziyue Jiang, Yuxin Chen, Chen Yang, Jiecheng Zhou, Xinyu Cheng, Zhou Zhao
Datasets and Benchmarks Track
Unified Lexical Representation for Interpretable Visual-Language Alignment Yifan Li, Yikai Wang, Yanwei Fu, Dongyu Ru, Zheng Zhang, Tong He
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LLaNA: Large Language and NeRF Assistant Andrea Amaduzzi, Pierluigi Zama Ramirez, Giuseppe Lisanti, Samuele Salti, Luigi Di Stefano
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DiTFastAttn: Attention Compression for Diffusion Transformer Models Zhihang Yuan, Hanling Zhang, Pu Lu, Xuefei Ning, Linfeng Zhang, Tianchen Zhao, Shengen Yan, Guohao Dai, Yu Wang
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Open LLMs are Necessary for Current Private Adaptations and Outperform their Closed Alternatives Vincent Hanke, Tom Blanchard, Franziska Boenisch, Iyiola E. Olatunji, Michael Backes, Adam Dziedzic
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SpelsNet: Surface Primitive Elements Segmentation by B-Rep Graph Structure Supervision Kseniya Cherenkova, Elona Dupont, Anis Kacem, Gleb Gusev, Djamila Aouada
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KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization Coleman Hooper, Sehoon Kim, Hiva Mohammadzadeh, Michael W. Mahoney, Yakun Sophia Shao, Kurt Keutzer, Amir Gholami
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DiffPano: Scalable and Consistent Text to Panorama Generation with Spherical Epipolar-Aware Diffusion Weicai Ye, Chenhao Ji, Zheng Chen, Junyao Gao, Xiaoshui Huang, Song-Hai Zhang, Wanli Ouyang, Tong He, Cairong Zhao, Guofeng Zhang
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Causal Contrastive Learning for Counterfactual Regression Over Time Mouad El Bouchattaoui, Myriam Tami, Benoit Lepetit, Paul-Henry Cournède
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Certified Robustness for Deep Equilibrium Models via Serialized Random Smoothing Weizhi Gao, Zhichao Hou, Han Xu, Xiaorui Liu
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Causal vs. Anticausal merging of predictors Sergio Hernan Garrido Mejia, Patrick Blöbaum, Bernhard Schölkopf, Dominik Janzing
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Sim2Real-Fire: A Multi-modal Simulation Dataset for Forecast and Backtracking of Real-world Forest Fire Yanzhi Li, Keqiu Li, Guohui Li, Zumin Wang, Changqing Ji, Lubo Wang, Die Zuo, Qing Guo, Feng Zhang, Manyu Wang, Di Lin
Datasets and Benchmarks Track
SciInstruct: a Self-Reflective Instruction Annotated Dataset for Training Scientific Language Models Dan Zhang, Ziniu Hu, Sining Zhoubian, Zhengxiao Du, Kaiyu Yang, Zihan Wang, Yisong Yue, Yuxiao Dong, Jie Tang
Datasets and Benchmarks Track
HelpSteer 2: Open-source dataset for training top-performing reward models Zhilin Wang, Yi Dong, Olivier Delalleau, Jiaqi Zeng, Gerald Shen, Daniel Egert, Jimmy J. Zhang, Makesh Narsimhan Sreedhar, Oleksii Kuchaiev
Datasets and Benchmarks Track
Efficient Adversarial Training in LLMs with Continuous Attacks Sophie Xhonneux, Alessandro Sordoni, Stephan Günnemann, Gauthier Gidel, Leo Schwinn
Main Conference Track
Context and Geometry Aware Voxel Transformer for Semantic Scene Completion Zhu Yu, Runmin Zhang, Jiacheng Ying, Junchen Yu, Xiaohai Hu, Lun Luo, Si-Yuan Cao, Hui-Liang Shen
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MIDGArD: Modular Interpretable Diffusion over Graphs for Articulated Designs Quentin Leboutet, Nina Wiedemann, Zhipeng Cai, Michael Paulitsch, Kai Yuan
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Provably Safe Neural Network Controllers via Differential Dynamic Logic Samuel Teuber, Stefan Mitsch, André Platzer
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Learning Image Priors Through Patch-Based Diffusion Models for Solving Inverse Problems Jason Hu, Bowen Song, Xiaojian Xu, Liyue Shen, Jeffrey A. Fessler
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Seek Commonality but Preserve Differences: Dissected Dynamics Modeling for Multi-modal Visual RL Yangru Huang, Peixi Peng, Yifan Zhao, Guangyao Chen, Yonghong Tian
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Reciprocal Learning Julian Rodemann, Christoph Jansen, Georg Schollmeyer
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D-LLM: A Token Adaptive Computing Resource Allocation Strategy for Large Language Models Yikun Jiang, Huanyu Wang, Lei Xie, Hanbin Zhao, Chao Zhang, Hui Qian, John C.S. Lui
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Near-Optimal Distributionally Robust Reinforcement Learning with General $L_p$ Norms Pierre Clavier, Laixi Shi, Erwan Le Pennec, Eric Mazumdar, Adam Wierman, Matthieu Geist
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AdaNovo: Towards Robust \emph{De Novo} Peptide Sequencing in Proteomics against Data Biases Jun Xia, Shaorong Chen, Jingbo Zhou, Xiaojun Shan, Wenjie Du, Zhangyang Gao, Cheng Tan, Bozhen Hu, Jiangbin Zheng, Stan Z. Li
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MimicTalk: Mimicking a personalized and expressive 3D talking face in minutes Zhenhui Ye, Tianyun Zhong, Yi Ren, Ziyue Jiang, Jiawei Huang, Rongjie Huang, Jinglin liu, Jinzheng He, Chen Zhang, Zehan Wang, Xize Chen, Xiang Yin, Zhou Zhao
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JiuZhang3.0: Efficiently Improving Mathematical Reasoning by Training Small Data Synthesis Models Kun Zhou, Beichen Zhang, Jiapeng Wang, Zhipeng Chen, Wayne Xin Zhao, Jing Sha, Zhichao Sheng, Shijin Wang, Ji-Rong Wen
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Voila-A: Aligning Vision-Language Models with User's Gaze Attention Kun Yan, Zeyu Wang, Lei Ji, Yuntao Wang, Nan Duan, Shuai Ma
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einspace: Searching for Neural Architectures from Fundamental Operations Linus Ericsson, Miguel Espinosa, Chenhongyi Yang, Antreas Antoniou, Amos Storkey, Shay B. Cohen, Steven McDonagh, Elliot J. Crowley
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Structured flexibility in recurrent neural networks via neuromodulation Julia C. Costacurta, Shaunak Bhandarkar, David Zoltowski, Scott W. Linderman
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DU-Shapley: A Shapley Value Proxy for Efficient Dataset Valuation Felipe Garrido-Lucero, Benjamin Heymann, Maxime Vono, Patrick Loiseau, Vianney Perchet
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Enhancing Zero-Shot Vision Models by Label-Free Prompt Distribution Learning and Bias Correcting Xingyu Zhu, Beier Zhu, Yi Tan, Shuo Wang, Yanbin Hao, Hanwang Zhang
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LibMOON: A Gradient-based MultiObjective OptimizatioN Library in PyTorch Xiaoyuan Zhang, Liang Zhao, Yingying Yu, Xi Lin, Yifan Chen, Han Zhao, Qingfu Zhang
Datasets and Benchmarks Track
Diffusion PID: Interpreting Diffusion via Partial Information Decomposition Shaurya Dewan, Rushikesh Zawar, Prakanshul Saxena, Yingshan Chang, Andrew Luo, Yonatan Bisk
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Test-Time Dynamic Image Fusion Bing Cao, Yinan Xia, Yi Ding, Changqing Zhang, Qinghua Hu
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An End-To-End Graph Attention Network Hashing for Cross-Modal Retrieval Huilong Jin, Yingxue Zhang, Lei Shi, Shuang Zhang, Feifei Kou, Jiapeng Yang, Chuangying Zhu, Jia Luo
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Hamba: Single-view 3D Hand Reconstruction with Graph-guided Bi-Scanning Mamba Haoye Dong, Aviral Chharia, Wenbo Gou, Francisco Vicente Carrasco, Fernando De la Torre
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Omnigrasp: Grasping Diverse Objects with Simulated Humanoids Zhengyi Luo, Jinkun Cao, Sammy Christen, Alexander Winkler, Kris Kitani, Weipeng Xu
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AlchemistCoder: Harmonizing and Eliciting Code Capability by Hindsight Tuning on Multi-source Data Zifan Song, Yudong Wang, Wenwei Zhang, Kuikun Liu, Chengqi Lyu, Demin Song, Qipeng Guo, Hang Yan, Dahua Lin, Kai Chen, Cairong Zhao
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Gliding over the Pareto Front with Uniform Designs Xiaoyuan Zhang, Genghui Li, Xi Lin, Yichi Zhang, Yifan Chen, Qingfu Zhang
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WildPPG: A Real-World PPG Dataset of Long Continuous Recordings Manuel Meier, Berken Utku Demirel, Christian Holz
Datasets and Benchmarks Track
SocialGPT: Prompting LLMs for Social Relation Reasoning via Greedy Segment Optimization Wanhua Li, Zibin Meng, Jiawei Zhou, Donglai Wei, Chuang Gan, Hanspeter Pfister
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Online Learning of Delayed Choices Recep Yusuf Bekci
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Overcoming Common Flaws in the Evaluation of Selective Classification Systems Jeremias Traub, Till J. Bungert, Carsten T. Lüth, Michael Baumgartner, Klaus H. Maier-Hein, Lena Maier-Hein, Paul F. Jäger
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Connecting Joint-Embedding Predictive Architecture with Contrastive Self-supervised Learning Shentong Mo, Shengbang Tong
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Multi-Label Learning with Stronger Consistency Guarantees Anqi Mao, Mehryar Mohri, Yutao Zhong
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Data Distribution Valuation Xinyi Xu, Shuaiqi Wang, Chuan-Sheng Foo, Bryan Kian Hsiang Low, Giulia Fanti
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AdjointDEIS: Efficient Gradients for Diffusion Models Zander W. Blasingame, Chen Liu
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Using Unity to Help Solve Reinforcement Learning Connor Brennan, Andrew Robert Williams, Omar G. Younis, Vedant Vyas, Daria Yasafova, Irina Rish
Datasets and Benchmarks Track
Differentially Private Equivalence Testing for Continuous Distributions and Applications Daniel Omer, Or Sheffet
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Reinforcement Learning with Adaptive Regularization for Safe Control of Critical Systems Haozhe Tian, Homayoun Hamedmoghadam, Robert Shorten, Pietro Ferraro
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BERTs are Generative In-Context Learners David Samuel
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Faster Local Solvers for Graph Diffusion Equations Jiahe Bai, Baojian Zhou, Deqing Yang, Yanghua Xiao
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Beyond Accuracy: Tracking more like Human via Visual Search Dailing Zhang, Shiyu Hu, Xiaokun Feng, Xuchen Li, Meiqi Wu, Jing Zhang, Kaiqi Huang
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Credit Attribution and Stable Compression Roi Livni, Shay Moran, Kobbi Nissim, Chirag Pabbaraju
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Mobile-Agent-v2: Mobile Device Operation Assistant with Effective Navigation via Multi-Agent Collaboration Junyang Wang, Haiyang Xu, Haitao Jia, Xi Zhang, Ming Yan, Weizhou Shen, Ji Zhang, Fei Huang, Jitao Sang
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A Walsh Hadamard Derived Linear Vector Symbolic Architecture Mohammad Mahmudul Alam, Alexander Oberle, Edward Raff, Stella Biderman, Tim Oates, James Holt
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Autonomous Agents for Collaborative Task under Information Asymmetry Wei Liu, Chenxi Wang, Yifei Wang, Zihao Xie, Rennai Qiu, Yufan Dang, Zhuoyun Du, Weize Chen, Cheng Yang, Chen Qian
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Retrieval-Augmented Diffusion Models for Time Series Forecasting Jingwei Liu, Ling Yang, Hongyan Li, Shenda Hong
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The Surprising Effectiveness of SP Voting with Partial Preferences Hadi Hosseini, Debmalya Mandal, Amrit Puhan
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Flatten Anything: Unsupervised Neural Surface Parameterization Qijian Zhang, Junhui Hou, Wenping Wang, Ying He
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BoNBoN Alignment for Large Language Models and the Sweetness of Best-of-n Sampling Lin Gui, Cristina Gârbacea, Victor Veitch
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ReMoDetect: Reward Models Recognize Aligned LLM's Generations Hyunseok Lee, Jihoon Tack, Jinwoo Shin
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Analyzing & Reducing the Need for Learning Rate Warmup in GPT Training Atli Kosson, Bettina Messmer, Martin Jaggi
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A Hitchhiker's Guide to Fine-Grained Face Forgery Detection Using Common Sense Reasoning Niki Maria Foteinopoulou, Enjie Ghorbel, Djamila Aouada
Datasets and Benchmarks Track
Meta-Reinforcement Learning with Universal Policy Adaptation: Provable Near-Optimality under All-task Optimum Comparator Siyuan Xu, Minghui Zhu
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Mutual Information Estimation via Normalizing Flows Butakov I. D., Tolmachev A. D., Malanchuk S. V., Neopryatnaya A. M., Frolov A. A.
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UltraEdit: Instruction-based Fine-Grained Image Editing at Scale Haozhe Zhao, Xiaojian Ma, Liang Chen, Shuzheng Si, Rujie Wu, Kaikai An, Peiyu Yu, Minjia Zhang, Qing Li, Baobao Chang
Datasets and Benchmarks Track
CARE: a Benchmark Suite for the Classification and Retrieval of Enzymes Jason Yang, Ariane Mora, Shengchao Liu, Bruce J. Wittmann, Anima Anandkumar, Frances H. Arnold, Yisong Yue
Datasets and Benchmarks Track
Few-Shot Adversarial Prompt Learning on Vision-Language Models Yiwei Zhou, Xiaobo Xia, Zhiwei Lin, Bo Han, Tongliang Liu
Main Conference Track
UniSDF: Unifying Neural Representations for High-Fidelity 3D Reconstruction of Complex Scenes with Reflections Fangjinhua Wang, Marie-Julie Rakotosaona, Michael Niemeyer, Richard Szeliski, Marc Pollefeys, Federico Tombari
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Goal Reduction with Loop-Removal Accelerates RL and Models Human Brain Activity in Goal-Directed Learning Huzi Cheng, Joshua W. Brown
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QBB: Quantization with Binary Bases for LLMs Adrian Bulat, Yassine Ouali, Georgios Tzimiropoulos
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VRSBench: A Versatile Vision-Language Benchmark Dataset for Remote Sensing Image Understanding Xiang Li, Jian Ding, Mohamed Elhoseiny
Datasets and Benchmarks Track
Disentangling and mitigating the impact of task similarity for continual learning Naoki Hiratani
Main Conference Track
Warm-up Free Policy Optimization: Improved Regret in Linear Markov Decision Processes Asaf Cassel, Aviv Rosenberg
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KV Cache is 1 Bit Per Channel: Efficient Large Language Model Inference with Coupled Quantization Tianyi Zhang, Jonah Yi, Zhaozhuo Xu, Anshumali Shrivastava
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Unified Insights: Harnessing Multi-modal Data for Phenotype Imputation via View Decoupling Qiannan Zhang, Weishen Pan, Zilong Bai, Chang Su, Fei Wang
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Optimal Private and Communication Constraint Distributed Goodness-of-Fit Testing for Discrete Distributions in the Large Sample Regime Lasse Vuursteen
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Concentrate Attention: Towards Domain-Generalizable Prompt Optimization for Language Models Chengzhengxu Li, Xiaoming Liu, Zhaohan Zhang, Yichen Wang, Chen Liu, Yu Lan, Chao Shen
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Training for Stable Explanation for Free Chao Chen, Chenghua Guo, Rufeng Chen, Guixiang Ma, Ming Zeng, Xiangwen Liao, Xi Zhang, Sihong Xie
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NeuralSolver: Learning Algorithms For Consistent and Efficient Extrapolation Across General Tasks Bernardo Esteves, Miguel Vasco, Francisco S. Melo
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SolarCube: An Integrative Benchmark Dataset Harnessing Satellite and In-situ Observations for Large-scale Solar Energy Forecasting Ruohan Li, Yiqun Xie, Xiaowei Jia, Dongdong Wang, Yanhua Li, Yingxue Zhang, Zhihao Wang, Zhili Li
Datasets and Benchmarks Track
Feint Behaviors and Strategies: Formalization, Implementation and Evaluation Junyu Liu, Xiangjun Peng
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LT-Defense: Searching-free Backdoor Defense via Exploiting the Long-tailed Effect Yixiao Xu, Binxing Fang, Mohan Li, Keke Tang, Zhihong Tian
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HyperLogic: Enhancing Diversity and Accuracy in Rule Learning with HyperNets Yang Yang, Wendi Ren, Shuang Li
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CAT: Coordinating Anatomical-Textual Prompts for Multi-Organ and Tumor Segmentation Zhongzhen Huang, Yankai Jiang, Rongzhao Zhang, Shaoting Zhang, Xiaofan Zhang
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Optimizing Automatic Differentiation with Deep Reinforcement Learning Jamie Lohoff, Emre Neftci
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DiGRAF: Diffeomorphic Graph-Adaptive Activation Function Krishna Sri Ipsit Mantri, Xinzhi (Aurora) Wang, Carola-Bibiane Schönlieb, Bruno Ribeiro, Beatrice Bevilacqua, Moshe Eliasof
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Fair Secretaries with Unfair Predictions Eric Balkanski, Will Ma, Andreas Maggiori
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Shadowheart SGD: Distributed Asynchronous SGD with Optimal Time Complexity Under Arbitrary Computation and Communication Heterogeneity Alexander Tyurin, Marta Pozzi, Ivan Ilin, Peter Richtárik
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Testably Learning Polynomial Threshold Functions Lucas Slot, Stefan Tiegel, Manuel Wiedmer
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Flexible Context-Driven Sensory Processing in Dynamical Vision Models Lakshmi Narasimhan Govindarajan, Abhiram Iyer, Valmiki Kothare, Ila Fiete
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Searching for Efficient Linear Layers over a Continuous Space of Structured Matrices Andres Potapczynski, Shikai Qiu, Marc Finzi, Christopher Ferri, Zixi Chen, Micah Goldblum, C. Bayan Bruss, Christopher De Sa, Andrew Gordon Wilson
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Diffusion-Inspired Truncated Sampler for Text-Video Retrieval Jiamian Wang, Pichao Wang, Dongfang Liu, Qiang Guan, Sohail Dianat, Majid Rabbani, Raghuveer Rao, Zhiqiang Tao
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LiteVAE: Lightweight and Efficient Variational Autoencoders for Latent Diffusion Models Seyedmorteza Sadat, Jakob Buhmann, Derek Bradley, Otmar Hilliges, Romann M. Weber
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ROBIN: Robust and Invisible Watermarks for Diffusion Models with Adversarial Optimization Huayang Huang, Yu Wu, Qian Wang
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A Decision-Language Model (DLM) for Dynamic Restless Multi-Armed Bandit Tasks in Public Health Nikhil Behari, Edwin Zhang, Yunfan Zhao, Aparna Taneja, Dheeraj Nagaraj, Milind Tambe
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FUG: Feature-Universal Graph Contrastive Pre-training for Graphs with Diverse Node Features Jitao Zhao, Di Jin, Meng Ge, Lianze Shan, Xin Wang, Dongxiao He, Zhiyong Feng
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ReGS: Reference-based Controllable Scene Stylization with Gaussian Splatting Yiqun Mei, Jiacong Xu, Vishal M. Patel
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QueST: Self-Supervised Skill Abstractions for Learning Continuous Control Atharva Mete, Haotian Xue, Albert Wilcox, Yongxin Chen, Animesh Garg
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DiffPhyCon: A Generative Approach to Control Complex Physical Systems Long Wei, Peiyan Hu, Ruiqi Feng, Haodong Feng, Yixuan Du, Tao Zhang, Rui Wang, Yue Wang, Zhi-Ming Ma, Tailin Wu
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FlowTurbo: Towards Real-time Flow-Based Image Generation with Velocity Refiner Wenliang Zhao, Minglei Shi, Xumin Yu, Jie Zhou, Jiwen Lu
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MADiff: Offline Multi-agent Learning with Diffusion Models Zhengbang Zhu, Minghuan Liu, Liyuan Mao, Bingyi Kang, Minkai Xu, Yong Yu, Stefano Ermon, Weinan Zhang
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Polynomial-Time Computation of Exact $\Phi$-Equilibria in Polyhedral Games Gabriele Farina, Charilaos Pipis
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Data Attribution for Text-to-Image Models by Unlearning Synthesized Images Sheng-Yu Wang, Aaron Hertzmann, Alexei A. Efros, Jun-Yan Zhu, Richard Zhang
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CLIPCEIL: Domain Generalization through CLIP via Channel rEfinement and Image-text aLignment Xi Yu, Shinjae Yoo, Yuewei Lin
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Verifiably Robust Conformal Prediction Linus Jeary, Tom Kuipers, Mehran Hosseini, Nicola Paoletti
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Ordering-Based Causal Discovery for Linear and Nonlinear Relations Zhuopeng Xu, Yujie Li, Cheng Liu, Ning Gui
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Revisiting Score Propagation in Graph Out-of-Distribution Detection Longfei Ma, Yiyou Sun, Kaize Ding, Zemin Liu, Fei Wu
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Stochastic Amortization: A Unified Approach to Accelerate Feature and Data Attribution Ian Covert, Chanwoo Kim, Su-In Lee, James Zou, Tatsunori Hashimoto
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Explicit Eigenvalue Regularization Improves Sharpness-Aware Minimization Haocheng Luo, Tuan Truong, Tung Pham, Mehrtash Harandi, Dinh Phung, Trung Le
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LAM3D: Large Image-Point Clouds Alignment Model for 3D Reconstruction from Single Image Ruikai Cui, Xibin Song, Weixuan Sun, Senbo Wang, Weizhe Liu, Shenzhou Chen, Taizhang Shang, Yang Li, Nick Barnes, Hongdong Li, Pan Ji
Main Conference Track
Weight decay induces low-rank attention layers Seijin Kobayashi, Yassir Akram, Johannes von Oswald
Main Conference Track
Association Pattern-aware Fusion for Biological Entity Relationship Prediction Lingxiang Jia, Yuchen Ying, Zunlei Feng, Zipeng Zhong, Shaolun Yao, Jiacong Hu, Mingjiang Duan, Xingen Wang, Jie Song, Mingli Song
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TaskBench: Benchmarking Large Language Models for Task Automation Yongliang Shen, Kaitao Song, Xu Tan, Wenqi Zhang, Kan Ren, Siyu Yuan, Weiming Lu, Dongsheng Li, Yueting Zhuang
Datasets and Benchmarks Track
Star-Agents: Automatic Data Optimization with LLM Agents for Instruction Tuning Hang Zhou, Yehui Tang, Haochen Qin, Yujie Yang, Renren Jin, Deyi Xiong, Kai Han, Yunhe Wang
Main Conference Track
On Neural Networks as Infinite Tree-Structured Probabilistic Graphical Models Boyao Li, Alexander J. Thomson, Houssam Nassif, Matthew M. Engelhard, David Page
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Sparse Bayesian Generative Modeling for Compressive Sensing Benedikt Böck, Sadaf Syed, Wolfgang Utschick
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Generative Semi-supervised Graph Anomaly Detection Hezhe Qiao, Qingsong Wen, Xiaoli Li, Ee-Peng Lim, Guansong Pang
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Building on Efficient Foundations: Effective Training of LLMs with Structured Feedforward Layers Xiuying Wei, Skander Moalla, Razvan Pascanu, Caglar Gulcehre
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Optimizing over Multiple Distributions under Generalized Quasar-Convexity Condition Shihong Ding, Long Yang, Luo Luo, Cong Fang
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Topological Generalization Bounds for Discrete-Time Stochastic Optimization Algorithms Rayna Andreeva, Benjamin Dupuis, Rik Sarkar, Tolga Birdal, Umut Şimşekli
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Weak-to-Strong Search: Align Large Language Models via Searching over Small Language Models Zhanhui Zhou, Zhixuan Liu, Jie Liu, Zhichen Dong, Chao Yang, Yu Qiao
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HORSE: Hierarchical Representation for Large-Scale Neural Subset Selection Binghui Xie, Yixuan Wang, Yongqiang Chen, Kaiwen Zhou, Yu Li, Wei Meng, James Cheng
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Segment, Shuffle, and Stitch: A Simple Layer for Improving Time-Series Representations Shivam Grover, Amin Jalali, Ali Etemad
Main Conference Track
TARSS-Net: Temporal-Aware Radar Semantic Segmentation Network Youcheng Zhang, Liwen Zhang, Zijun Hu, Pengcheng Pi, Teng Li, Yuanpei Chen, Shi Peng, Zhe Ma
Main Conference Track
ProEdit: Simple Progression is All You Need for High-Quality 3D Scene Editing Jun-Kun Chen, Yu-Xiong Wang
Main Conference Track
FindingEmo: An Image Dataset for Emotion Recognition in the Wild Laurent Mertens, Elahe' Yargholi, Hans Op de Beeck, Jan Van den Stock, Joost Vennekens
Datasets and Benchmarks Track
IRCAN: Mitigating Knowledge Conflicts in LLM Generation via Identifying and Reweighting Context-Aware Neurons Dan Shi, Renren Jin, Tianhao Shen, Weilong Dong, Xinwei Wu, Deyi Xiong
Main Conference Track
Utilizing Human Behavior Modeling to Manipulate Explanations in AI-Assisted Decision Making: The Good, the Bad, and the Scary Zhuoyan Li, Ming Yin
Main Conference Track
HairDiffusion: Vivid Multi-Colored Hair Editing via Latent Diffusion Yu Zeng, Yang Zhang, Jiachen Liu, Linlin Shen, Kaijun Deng, Weizhao He, Jinbao Wang
Main Conference Track
PV-Tuning: Beyond Straight-Through Estimation for Extreme LLM Compression Vladimir Malinovskii, Denis Mazur, Ivan Ilin, Denis Kuznedelev, Konstantin Burlachenko, Kai Yi, Dan Alistarh, Peter Richtarik
Main Conference Track
Feedback control guides credit assignment in recurrent neural networks Klara Kaleb, Barbara Feulner, Juan A. Gallego, Claudia Clopath
Main Conference Track
COLD: Causal reasOning in cLosed Daily activities Abhinav Joshi, Areeb Ahmad, Ashutosh Modi
Main Conference Track
SLED: Self Logits Evolution Decoding for Improving Factuality in Large Language Models Jianyi Zhang, Da-Cheng Juan, Cyrus Rashtchian, Chun-Sung Ferng, Heinrich Jiang, Yiran Chen
Main Conference Track
BackdoorAlign: Mitigating Fine-tuning based Jailbreak Attack with Backdoor Enhanced Safety Alignment Jiongxiao Wang, Jiazhao Li, Yiquan Li, Xiangyu Qi, Junjie Hu, Yixuan Li, Patrick McDaniel, Muhao Chen, Bo Li, Chaowei Xiao
Main Conference Track
AGILE: A Novel Reinforcement Learning Framework of LLM Agents Peiyuan Feng, Yichen He, Guanhua Huang, Yuan Lin, Hanchong Zhang, Yuchen Zhang, Hang Li
Main Conference Track
SG-Nav: Online 3D Scene Graph Prompting for LLM-based Zero-shot Object Navigation Hang Yin, Xiuwei Xu, Zhenyu Wu, Jie Zhou, Jiwen Lu
Main Conference Track
Controlling Multiple Errors Simultaneously with a PAC-Bayes Bound Reuben Adams, John Shawe-Taylor, Benjamin Guedj
Main Conference Track
Can Graph Learning Improve Planning in LLM-based Agents? Xixi Wu, Yifei Shen, Caihua Shan, Kaitao Song, Siwei Wang, Bohang Zhang, Jiarui Feng, Hong Cheng, Wei Chen, Yun Xiong, Dongsheng Li
Main Conference Track
Fully Explicit Dynamic Gaussian Splatting Junoh Lee, Changyeon Won, Hyunjun Jung, Inhwan Bae, Hae-Gon Jeon
Main Conference Track
Graph Neural Networks and Arithmetic Circuits Timon Barlag, Vivian Holzapfel, Laura Strieker, Jonni Virtema, Heribert Vollmer
Main Conference Track
Self-Refining Diffusion Samplers: Enabling Parallelization via Parareal Iterations Nikil Roashan Selvam, Amil Merchant, Stefano Ermon
Main Conference Track
Can Learned Optimization Make Reinforcement Learning Less Difficult? Alexander D. Goldie, Chris Lu, Matthew T. Jackson, Shimon Whiteson, Jakob N. Foerster
Main Conference Track
Kaleido Diffusion: Improving Conditional Diffusion Models with Autoregressive Latent Modeling Jiatao Gu, Ying Shen, Shuangfei Zhai, Yizhe Zhang, Navdeep Jaitly, Josh Susskind
Main Conference Track
Schur Nets: exploiting local structure for equivariance in higher order graph neural networks Qingqi Zhang, Ruize Xu, Risi Kondor
Main Conference Track
Visual Fourier Prompt Tuning Runjia Zeng, Cheng Han, Qifan Wang, Chunshu Wu, Tong Geng, Lifu Huang, Ying Nian Wu, Dongfang Liu
Main Conference Track
Learning Representations for Hierarchies with Minimal Support Benjamin Rozonoyer, Michael Boratko, Dhruvesh Patel, Wenlong Zhao, Shib Dasgupta, Hung Le, Andrew McCallum
Main Conference Track
Continuous Partitioning for Graph-Based Semi-Supervised Learning Chester Holtz, Pengwen Chen, Zhengchao Wan, Chung-Kuan Cheng, Gal Mishne
Main Conference Track
Expressive Gaussian Human Avatars from Monocular RGB Video Hezhen Hu, Zhiwen Fan, Tianhao Wu, Yihan Xi, Seoyoung Lee, Georgios Pavlakos, Zhangyang Wang
Main Conference Track
Hardness of Learning Neural Networks under the Manifold Hypothesis Bobak T. Kiani, Jason Wang, Melanie Weber
Main Conference Track
TOPA: Extending Large Language Models for Video Understanding via Text-Only Pre-Alignment Wei Li, Hehe Fan, Yongkang Wong, Mohan Kankanhalli, Yi Yang
Main Conference Track
Multi-Label Open Set Recognition Yi-Bo Wang, Jun-Yi Hang, Min-Ling Zhang
Main Conference Track
Med-Real2Sim: Non-Invasive Medical Digital Twins using Physics-Informed Self-Supervised Learning Keying Kuang, Frances Dean, Jack B. Jedlicki, David Ouyang, Anthony Philippakis, David Sontag, Ahmed Alaa
Main Conference Track
SuperVLAD: Compact and Robust Image Descriptors for Visual Place Recognition Feng Lu, Xinyao Zhang, Canming Ye, Shuting Dong, Lijun Zhang, Xiangyuan Lan, Chun Yuan
Main Conference Track
Towards Scalable and Stable Parallelization of Nonlinear RNNs Xavier Gonzalez, Andrew Warrington, Jimmy T.H. Smith, Scott W. Linderman
Main Conference Track
3D Gaussian Rendering Can Be Sparser: Efficient Rendering via Learned Fragment Pruning Zhifan Ye, Chenxi Wan, Chaojian Li, Jihoon Hong, Sixu Li, Leshu Li, Yongan Zhang, Yingyan (Celine) Lin
Main Conference Track
Trade-Offs of Diagonal Fisher Information Matrix Estimators Alexander Soen, Ke Sun
Main Conference Track
End-to-end Learnable Clustering for Intent Learning in Recommendation Yue Liu, Shihao Zhu, Jun Xia, Yingwei Ma, Jian Ma, Xinwang Liu, Shengju Yu, Kejun Zhang, Wenliang Zhong
Main Conference Track
LLMs as Zero-shot Graph Learners: Alignment of GNN Representations with LLM Token Embeddings Duo Wang, Yuan Zuo, Fengzhi Li, Junjie Wu
Main Conference Track
Exploiting Representation Curvature for Boundary Detection in Time Series Yooju Shin, Jaehyun Park, Hwanjun Song, Susik Yoon, Byung Suk Lee, Jae-Gil Lee
Main Conference Track
WorkArena++: Towards Compositional Planning and Reasoning-based Common Knowledge Work Tasks Léo Boisvert, Megh Thakkar, Maxime Gasse, Massimo Caccia, Thibault Le Sellier De Chezelles, Quentin Cappart, Nicolas Chapados, Alexandre Lacoste, Alexandre Drouin
Datasets and Benchmarks Track
KnowGPT: Knowledge Graph based Prompting for Large Language Models Qinggang Zhang, Junnan Dong, Hao Chen, Daochen Zha, Zailiang Yu, Xiao Huang
Main Conference Track
UDC: A Unified Neural Divide-and-Conquer Framework for Large-Scale Combinatorial Optimization Problems Zhi Zheng, Changliang Zhou, Xialiang Tong, Mingxuan Yuan, Zhenkun Wang
Main Conference Track
Eye-gaze Guided Multi-modal Alignment for Medical Representation Learning Chong Ma, Hanqi Jiang, Wenting Chen, Yiwei Li, Zihao Wu, Xiaowei Yu, Zhengliang Liu, Lei Guo, Dajiang Zhu, Tuo Zhang, Dinggang Shen, Tianming Liu, Xiang Li
Main Conference Track
Federated Ensemble-Directed Offline Reinforcement Learning Desik Rengarajan, Nitin Ragothaman, Dileep Kalathil, Srinivas Shakkottai
Main Conference Track
Linking In-context Learning in Transformers to Human Episodic Memory Li Ji-An, Corey Y Zhou, Marcus K. Benna, Marcelo G. Mattar
Main Conference Track
Data-Efficient Operator Learning via Unsupervised Pretraining and In-Context Learning Wuyang Chen, Jialin Song, Pu Ren, Shashank Subramanian, Dmitriy Morozov, Michael W. Mahoney
Main Conference Track
IMAGPose: A Unified Conditional Framework for Pose-Guided Person Generation Fei Shen, Jinhui Tang
Main Conference Track
Supervised Kernel Thinning Albert Gong, Kyuseong Choi, Raaz Dwivedi
Main Conference Track
Cell ontology guided transcriptome foundation model Xinyu Yuan, Zhihao Zhan, Zuobai Zhang, Manqi Zhou, Jianan Zhao, Boyu Han, Yue Li, Jian Tang
Main Conference Track
Weight Diffusion for Future: Learn to Generalize in Non-Stationary Environments Mixue Xie, Shuang Li, Binhui Xie, Chi Harold Liu, Jian Liang, Zixun Sun, Ke Feng, Chengwei Zhu
Main Conference Track
Interpretable Lightweight Transformer via Unrolling of Learned Graph Smoothness Priors Tam Thuc Do, Parham Eftekhar, Seyed Alireza Hosseini, Gene Cheung, Philip A. Chou
Main Conference Track
Sketching for Distributed Deep Learning: A Sharper Analysis Mayank Shrivastava, Berivan Isik, Qiaobo Li, Sanmi Koyejo, Arindam Banerjee
Main Conference Track
Unified Covariate Adjustment for Causal Inference Yonghan Jung, Jin Tian, Elias Bareinboim
Main Conference Track
The High Line: Exact Risk and Learning Rate Curves of Stochastic Adaptive Learning Rate Algorithms Elizabeth Collins-Woodfin, Inbar Seroussi, Begoña García Malaxechebarría, Andrew W. Mackenzie, Elliot Paquette, Courtney Paquette
Main Conference Track
Exploring Adversarial Robustness of Deep State Space Models Biqing Qi, Yiang Luo, Junqi Gao, Pengfei Li, Kai Tian, Zhiyuan Ma, Bowen Zhou
Main Conference Track
DMC-VB: A Benchmark for Representation Learning for Control with Visual Distractors Joseph Ortiz, Antoine Dedieu, Wolfgang Lehrach, J. Swaroop Guntupalli, Carter Wendelken, Ahmad Humayun, Guangyao Zhou, Sivaramakrishnan Swaminathan, Miguel Lázaro-Gredilla, Kevin Murphy
Datasets and Benchmarks Track
EASI: Evolutionary Adversarial Simulator Identification for Sim-to-Real Transfer Haoyu Dong, Huiqiao Fu, Wentao Xu, Zhehao Zhou, Chunlin Chen
Main Conference Track
BenchX: A Unified Benchmark Framework for Medical Vision-Language Pretraining on Chest X-Rays Yang Zhou, Tan Li Hui Faith, Yanyu Xu, Sicong Leng, Xinxing Xu, Yong Liu, Rick Siow Mong Goh
Datasets and Benchmarks Track
On the Role of Information Structure in Reinforcement Learning for Partially-Observable Sequential Teams and Games Awni Altabaa, Zhuoran Yang
Main Conference Track
On $f$-Divergence Principled Domain Adaptation: An Improved Framework Ziqiao Wang, Yongyi Mao
Main Conference Track
LLM-based Skill Diffusion for Zero-shot Policy Adaptation Woo Kyung Kim, Youngseok Lee, Jooyoung Kim, Honguk Woo
Main Conference Track
TARP-VP: Towards Evaluation of Transferred Adversarial Robustness and Privacy on Label Mapping Visual Prompting Models Zhen Chen, Yi Zhang, Fu Wang, Xingyu Zhao, Xiaowei Huang, Wenjie Ruan
Main Conference Track
Learning diffusion at lightspeed Antonio Terpin, Nicolas Lanzetti, Martín Gadea, Florian Dörfler
Main Conference Track
One Token to Seg Them All: Language Instructed Reasoning Segmentation in Videos Zechen Bai, Tong He, Haiyang Mei, Pichao Wang, Ziteng Gao, Joya Chen, Lei Liu, Zheng Zhang, Mike Zheng Shou
Main Conference Track
Rethinking Imbalance in Image Super-Resolution for Efficient Inference Wei Yu, Bowen Yang, Qinglin Liu, Jianing Li, Shengping Zhang, Xiangyang Ji
Main Conference Track
How Control Information Influences Multilingual Text Image Generation and Editing? Boqiang Zhang, Zuan Gao, Yadong Qu, Hongtao Xie
Main Conference Track
SplitNeRF: Split Sum Approximation Neural Field for Joint Geometry, Illumination, and Material Estimation Jesus Zarzar, Bernard Ghanem
Main Conference Track
Flexible task abstractions emerge in linear networks with fast and bounded units Kai Sandbrink, Jan P. Bauer, Alexandra M. Proca, Andrew M. Saxe, Christopher Summerfield, Ali Hummos
Main Conference Track
Adapting Diffusion Models for Improved Prompt Compliance and Controllable Image Synthesis Deepak Sridhar, Abhishek Peri, Rohith Rachala, Nuno Vasconcelos
Main Conference Track
On the Saturation Effects of Spectral Algorithms in Large Dimensions Weihao Lu, Haobo Zhang, Yicheng Li, Qian Lin
Main Conference Track
Cross-Scale Self-Supervised Blind Image Deblurring via Implicit Neural Representation Tianjing Zhang, Yuhui Quan, Hui Ji
Main Conference Track
A Prompt-Based Knowledge Graph Foundation Model for Universal In-Context Reasoning Yuanning Cui, Zequn Sun, Wei Hu
Main Conference Track
Learning to be Smooth: An End-to-End Differentiable Particle Smoother Ali Younis, Erik B. Sudderth
Main Conference Track
Pard: Permutation-Invariant Autoregressive Diffusion for Graph Generation Lingxiao Zhao, Xueying Ding, Leman Akoglu
Main Conference Track
TabPedia: Towards Comprehensive Visual Table Understanding with Concept Synergy Weichao Zhao, Hao Feng, Qi Liu, Jingqun Tang, Shu Wei, Binghong Wu, Lei Liao, Yongjie Ye, Hao Liu, Wengang Zhou, Houqiang Li, Can Huang
Main Conference Track
HonestLLM: Toward an Honest and Helpful Large Language Model Chujie Gao, Siyuan Wu, Yue Huang, Dongping Chen, Qihui Zhang, Zhengyan Fu, Yao Wan, Lichao Sun, Xiangliang Zhang
Main Conference Track
MLLMGuard: A Multi-dimensional Safety Evaluation Suite for Multimodal Large Language Models Tianle Gu, Zeyang Zhou, Kexin Huang, Dandan Liang, Yixu Wang, Haiquan Zhao, Yuanqi Yao, Xingge Qiao, Keqing Wang, Yujiu Yang, Yan Teng, Yu Qiao, Yingchun Wang
Datasets and Benchmarks Track
UrbanDataLayer: A Unified Data Pipeline for Urban Science Yiheng Wang, Tianyu Wang, Yuying Zhang, Hongji Zhang, Haoyu Zheng, Guanjie Zheng, Linghe Kong
Datasets and Benchmarks Track
Neural Isometries: Taming Transformations for Equivariant ML Thomas W. Mitchel, Michael Taylor, Vincent Sitzmann
Main Conference Track
You Only Cache Once: Decoder-Decoder Architectures for Language Models Yutao Sun, Li Dong, Yi Zhu, Shaohan Huang, Wenhui Wang, Shuming Ma, Quanlu Zhang, Jianyong Wang, Furu Wei
Main Conference Track
Locally Private and Robust Multi-Armed Bandits Xingyu Zhou, Wei Zhang
Main Conference Track
Understanding Information Storage and Transfer in Multi-Modal Large Language Models Samyadeep Basu, Martin Grayson, Cecily Morrison, Besmira Nushi, Soheil Feizi, Daniela Massiceti
Main Conference Track
Sharing Key Semantics in Transformer Makes Efficient Image Restoration Bin Ren, Yawei Li, Jingyun Liang, Rakesh Ranjan, Mengyuan Liu, Rita Cucchiara, Luc Van Gool, Ming-Hsuan Yang, Nicu Sebe
Main Conference Track
Text-space Graph Foundation Models: Comprehensive Benchmarks and New Insights Zhikai Chen, Haitao Mao, Jingzhe Liu, Yu Song, Bingheng Li, Wei Jin, Bahare Fatemi, Anton Tsitsulin, Bryan Perozzi, Hui Liu, Jiliang Tang
Datasets and Benchmarks Track
Breaking Long-Tailed Learning Bottlenecks: A Controllable Paradigm with Hypernetwork-Generated Diverse Experts Zhe Zhao, Haibin Wen, Zikang Wang, Pengkun Wang, Fanfu Wang, Song Lai, Qingfu Zhang, Yang Wang
Main Conference Track
Optimal Multiclass U-Calibration Error and Beyond Haipeng Luo, Spandan Senapati, Vatsal Sharan
Main Conference Track
Text2CAD: Generating Sequential CAD Designs from Beginner-to-Expert Level Text Prompts Mohammad Sadil Khan, Sankalp Sinha, Talha Uddin Sheikh, Didier Stricker, Sk Aziz Ali, Muhammad Zeshan Afzal
Main Conference Track
MVGamba: Unify 3D Content Generation as State Space Sequence Modeling Xuanyu Yi, Zike Wu, Qiuhong Shen, Qingshan Xu, Pan Zhou, Joo-Hwee Lim, Shuicheng Yan, Xinchao Wang, Hanwang Zhang
Main Conference Track
Make Continual Learning Stronger via C-Flat Ang Bian, Wei Li, Hangjie Yuan, Chengrong Yu, Mang Wang, Zixiang Zhao, Aojun Lu, Pengliang Ji, Tao Feng
Main Conference Track
Limits of Transformer Language Models on Learning to Compose Algorithms Jonathan Thomm, Giacomo Camposampiero, Aleksandar Terzic, Michael Hersche, Bernhard Schölkopf, Abbas Rahimi
Main Conference Track
Stability and Generalization of Asynchronous SGD: Sharper Bounds Beyond Lipschitz and Smoothness Xiaoge Deng, Tao Sun, Shengwei Li, Dongsheng Li, Xicheng Lu
Main Conference Track
On the Identifiability of Hybrid Deep Generative Models: Meta-Learning as a Solution Yubo Ye, Maryam Toloubidokhti, Sumeet Vadhavkar, Xiajun Jiang, Huafeng Liu, Linwei Wang
Main Conference Track
MaskLLM: Learnable Semi-Structured Sparsity for Large Language Models Gongfan Fang, Hongxu Yin, Saurav Muralidharan, Greg Heinrich, Jeff Pool, Jan Kautz, Pavlo Molchanov, Xinchao Wang
Main Conference Track
Understanding the Gains from Repeated Self-Distillation Divyansh Pareek, Simon S. Du, Sewoong Oh
Main Conference Track
In-Context Learning State Vector with Inner and Momentum Optimization Dongfang Li, Zhenyu Liu, Xinshuo Hu, Zetian Sun, Baotian Hu, Min Zhang
Main Conference Track
DART-Math: Difficulty-Aware Rejection Tuning for Mathematical Problem-Solving Yuxuan Tong, Xiwen Zhang, Rui Wang, Ruidong Wu, Junxian He
Main Conference Track
CiteME: Can Language Models Accurately Cite Scientific Claims? Ori Press, Andreas Hochlehnert, Ameya Prabhu, Vishaal Udandarao, Ofir Press, Matthias Bethge
Datasets and Benchmarks Track
Visual Prompt Tuning in Null Space for Continual Learning Yue Lu, Shizhou Zhang, De Cheng, Yinghui Xing, Nannan Wang, Peng Wang, Yanning Zhang
Main Conference Track
The Unmet Promise of Synthetic Training Images: Using Retrieved Real Images Performs Better Scott Geng, Cheng-Yu Hsieh, Vivek Ramanujan, Matthew Wallingford, Chun-Liang Li, Pang Wei Koh, Ranjay Krishna
Main Conference Track
Reproducibility of predictive networks for mouse visual cortex Polina Turishcheva, Max F. Burg, Fabian H. Sinz, Alexander S. Ecker
Main Conference Track
Kraken: Inherently Parallel Transformers For Efficient Multi-Device Inference Rohan Baskar Prabhakar, Hengrui Zhang, David Wentzlaff
Main Conference Track
DeepDRK: Deep Dependency Regularized Knockoff for Feature Selection Hongyu Shen, Yici Yan, Zhizhen Zhao
Main Conference Track
Incorporating Surrogate Gradient Norm to Improve Offline Optimization Techniques Manh Cuong Dao, Phi Le Nguyen, Thao Nguyen Truong, Trong Nghia Hoang
Main Conference Track
Revisiting Adversarial Patches for Designing Camera-Agnostic Attacks against Person Detection Hui Wei, Zhixiang Wang, Kewei Zhang, Jiaqi Hou, Yuanwei Liu, Hao Tang, Zheng Wang
Main Conference Track
Graph Diffusion Transformers for Multi-Conditional Molecular Generation Gang Liu, Jiaxin Xu, Tengfei Luo, Meng Jiang
Main Conference Track
WildGuard: Open One-stop Moderation Tools for Safety Risks, Jailbreaks, and Refusals of LLMs Seungju Han, Kavel Rao, Allyson Ettinger, Liwei Jiang, Bill Yuchen Lin, Nathan Lambert, Yejin Choi, Nouha Dziri
Datasets and Benchmarks Track
Reparameterization invariance in approximate Bayesian inference Hrittik Roy, Marco Miani, Carl Henrik Ek, Philipp Hennig, Marvin Pförtner, Lukas Tatzel, Søren Hauberg
Main Conference Track
Localized Adaptive Risk Control Matteo Zecchin, Osvaldo Simeone
Main Conference Track
Theoretical and Empirical Insights into the Origins of Degree Bias in Graph Neural Networks Arjun Subramonian, Jian Kang, Yizhou Sun
Main Conference Track
Federated Learning under Periodic Client Participation and Heterogeneous Data: A New Communication-Efficient Algorithm and Analysis Michael Crawshaw, Mingrui Liu
Main Conference Track
xMIL: Insightful Explanations for Multiple Instance Learning in Histopathology Julius Hense, Mina Jamshidi Idaji, Oliver Eberle, Thomas Schnake, Jonas Dippel, Laure Ciernik, Oliver Buchstab, Andreas Mock, Frederick Klauschen, Klaus-Robert Müller
Main Conference Track
Generalized Linear Bandits with Limited Adaptivity Ayush Sawarni, Nirjhar Das, Siddharth Barman, Gaurav Sinha
Main Conference Track
Image-aware Evaluation of Generated Medical Reports Gefen Dawidowicz, Elad Hirsch, Ayellet Tal
Main Conference Track
Large Language Models-guided Dynamic Adaptation for Temporal Knowledge Graph Reasoning Jiapu Wang, Kai Sun, Linhao Luo, Wei Wei, Yongli Hu, Alan Wee-Chung Liew, Shirui Pan, Baocai Yin
Main Conference Track
An effective framework for estimating individualized treatment rules Joowon Lee, Jared D. Huling, Guanhua Chen
Main Conference Track
A Simple and Adaptive Learning Rate for FTRL in Online Learning with Minimax Regret of $\Theta(T^{2/3})$ and its Application to Best-of-Both-Worlds Taira Tsuchiya, Shinji Ito
Main Conference Track
Rethinking Fourier Transform from A Basis Functions Perspective for Long-term Time Series Forecasting Runze Yang, Longbing Cao, Jianxun Li, Jie Yang
Main Conference Track
Beyond Primal-Dual Methods in Bandits with Stochastic and Adversarial Constraints Martino Bernasconi, Matteo Castiglioni, Andrea Celli, Federico Fusco
Main Conference Track
Rethinking Model-based, Policy-based, and Value-based Reinforcement Learning via the Lens of Representation Complexity Guhao Feng, Han Zhong
Main Conference Track
Visual CoT: Advancing Multi-Modal Language Models with a Comprehensive Dataset and Benchmark for Chain-of-Thought Reasoning Hao Shao, Shengju Qian, Han Xiao, Guanglu Song, Zhuofan Zong, Letian Wang, Yu Liu, Hongsheng Li
Datasets and Benchmarks Track
Invisible Image Watermarks Are Provably Removable Using Generative AI Xuandong Zhao, Kexun Zhang, Zihao Su, Saastha Vasan, Ilya Grishchenko, Christopher Kruegel, Giovanni Vigna, Yu-Xiang Wang, Lei Li
Main Conference Track
Stochastic Optimization Schemes for Performative Prediction with Nonconvex Loss Qiang Li, Hoi-To Wai
Main Conference Track
MMDU: A Multi-Turn Multi-Image Dialog Understanding Benchmark and Instruction-Tuning Dataset for LVLMs Ziyu Liu, Tao Chu, Yuhang Zang, Xilin Wei, Xiaoyi Dong, Pan Zhang, Zijian Liang, Yuanjun Xiong, Yu Qiao, Dahua Lin, Jiaqi Wang
Datasets and Benchmarks Track
SDP4Bit: Toward 4-bit Communication Quantization in Sharded Data Parallelism for LLM Training Jinda Jia, Cong Xie, Hanlin Lu, Daoce Wang, Hao Feng, Chengming Zhang, Baixi Sun, Haibin Lin, Zhi Zhang, Xin Liu, Dingwen Tao
Main Conference Track
How Does Message Passing Improve Collaborative Filtering? Clark Mingxuan Ju, William Shiao, Zhichun Guo, Yanfang Ye, Yozen Liu, Neil Shah, Tong Zhao
Main Conference Track
An Adaptive Approach for Infinitely Many-armed Bandits under Generalized Rotting Constraints Jung-hun Kim, Milan Vojnović, Se-Young Yun
Main Conference Track
Near-Optimal Streaming Heavy-Tailed Statistical Estimation with Clipped SGD Aniket Das, Dheeraj Nagaraj, Soumyabrata Pal, Arun Sai Suggala, Prateek Varshney
Main Conference Track
Kernel Language Entropy: Fine-grained Uncertainty Quantification for LLMs from Semantic Similarities Alexander Nikitin, Jannik Kossen, Yarin Gal, Pekka Marttinen
Main Conference Track
Fine Tuning Out-of-Vocabulary Item Recommendation with User Sequence Imagination Ruochen Liu, Hao Chen, Yuanchen Bei, Qijie Shen, Fangwei Zhong, Senzhang Wang, Jianxin Wang
Main Conference Track
Data Mixture Inference Attack: BPE Tokenizers Reveal Training Data Compositions Jonathan Hayase, Alisa Liu, Yejin Choi, Sewoong Oh, Noah A. Smith
Main Conference Track
Improving Deep Learning Optimization through Constrained Parameter Regularization Jörg K.H. Franke, Michael Hefenbrock, Gregor Koehler, Frank Hutter
Main Conference Track
A generalized neural tangent kernel for surrogate gradient learning Luke Eilers, Raoul-Martin Memmesheimer, Sven Goedeke
Main Conference Track
Soft Prompt Threats: Attacking Safety Alignment and Unlearning in Open-Source LLMs through the Embedding Space Leo Schwinn, David Dobre, Sophie Xhonneux, Gauthier Gidel, Stephan Günnemann
Main Conference Track
AlphaPruning: Using Heavy-Tailed Self Regularization Theory for Improved Layer-wise Pruning of Large Language Models Haiquan Lu, Yefan Zhou, Shiwei Liu, Zhangyang Wang, Michael W. Mahoney, Yaoqing Yang
Main Conference Track
Towards Open-Vocabulary Semantic Segmentation Without Semantic Labels Heeseong Shin, Chaehyun Kim, Sunghwan Hong, Seokju Cho, Anurag Arnab, Paul Hongsuck Seo, Seungryong Kim
Main Conference Track
Sample Efficient Bayesian Learning of Causal Graphs from Interventions Zihan Zhou, Muhammad Qasim Elahi, Murat Kocaoglu
Main Conference Track
StreamFlow: Streamlined Multi-Frame Optical Flow Estimation for Video Sequences Shangkun Sun, Jiaming Liu, Huaxia Li, Guoqing Liu, Thomas H Li, Wei Gao
Main Conference Track
Unlocking Tokens as Data Points for Generalization Bounds on Larger Language Models Sanae Lotfi, Yilun Kuang, Brandon Amos, Micah Goldblum, Marc Finzi, Andrew Gordon Wilson
Main Conference Track
VLKEB: A Large Vision-Language Model Knowledge Editing Benchmark Han Huang, Haitian Zhong, Tao Yu, Qiang Liu, Shu Wu, Liang Wang, Tieniu Tan
Datasets and Benchmarks Track
A Unified Principle of Pessimism for Offline Reinforcement Learning under Model Mismatch Yue Wang, Zhongchang Sun, Shaofeng Zou
Main Conference Track
Overcoming Brittleness in Pareto-Optimal Learning Augmented Algorithms Alex Elenter, Spyros Angelopoulos, Christoph Dürr, Yanni Lefki
Main Conference Track
GraphMETRO: Mitigating Complex Graph Distribution Shifts via Mixture of Aligned Experts Shirley Wu, Kaidi Cao, Bruno Ribeiro, James Zou, Jure Leskovec
Main Conference Track
CHASE: Learning Convex Hull Adaptive Shift for Skeleton-based Multi-Entity Action Recognition Yuhang Wen, Mengyuan Liu, Songtao Wu, Beichen Ding
Main Conference Track
Continual Counting with Gradual Privacy Expiration Joel Daniel Andersson, Monika Henzinger, Rasmus Pagh, Teresa Anna Steiner, Jalaj Upadhyay
Main Conference Track
Clustering then Propagation: Select Better Anchors for Knowledge Graph Embedding Ke Liang, Yue Liu, Hao Li, Lingyuan Meng, Suyuan Liu, Siwei Wang, Sihang Zhou, Xinwang Liu
Main Conference Track
LoFiT: Localized Fine-tuning on LLM Representations Fangcong Yin, Xi Ye, Greg Durrett
Main Conference Track
Look, Listen, and Answer: Overcoming Biases for Audio-Visual Question Answering Jie Ma, Min Hu, Pinghui Wang, Wangchun Sun, Lingyun Song, Hongbin Pei, Jun Liu, Youtian Du
Main Conference Track
Meta 3D AssetGen: Text-to-Mesh Generation with High-Quality Geometry, Texture, and PBR Materials Yawar Siddiqui, Tom Monnier, Filippos Kokkinos, Mahendra Kariya, Yanir Kleiman, Emilien Garreau, Oran Gafni, Natalia Neverova, Andrea Vedaldi, Roman Shapovalov, David Novotny
Main Conference Track
HydraLoRA: An Asymmetric LoRA Architecture for Efficient Fine-Tuning Chunlin Tian, Zhan Shi, Zhijiang Guo, Li Li, Chengzhong Xu
Main Conference Track
Graph Diffusion Policy Optimization Yijing Liu, Chao Du, Tianyu Pang, Chongxuan Li, Min Lin, Wei Chen
Main Conference Track
UKnow: A Unified Knowledge Protocol with Multimodal Knowledge Graph Datasets for Reasoning and Vision-Language Pre-Training Biao Gong, Shuai Tan, Yutong Feng, Xiaoying Xie, Yuyuan Li, Chaochao Chen, Kecheng Zheng, Yujun Shen, Deli Zhao
Datasets and Benchmarks Track
Understanding Representation of Deep Equilibrium Models from Neural Collapse Perspective Haixiang Sun, Ye Shi
Main Conference Track
PrivAuditor: Benchmarking Data Protection Vulnerabilities in LLM Adaptation Techniques Derui Zhu, Dingfan Chen, Xiongfei Wu, Jiahui Geng, Zhuo Li, Jens Grossklags, Lei Ma
Datasets and Benchmarks Track
A Retrospective on the Robot Air Hockey Challenge: Benchmarking Robust, Reliable, and Safe Learning Techniques for Real-world Robotics Puze Liu, Jonas Günster, Niklas Funk, Simon Gröger, Dong Chen, Haitham Bou-Ammar, Julius Jankowski, Ante Marić, Sylvain Calinon, Andrej Orsula, Miguel Olivares-Mendez, Hongyi Zhou, Rudolf Lioutikov, Gerhard Neumann, Amarildo Likmeta, Amirhossein Zhalehmehrabi, Thomas Bonenfant, Marcello Restelli, Davide Tateo, Ziyuan Liu, Jan Peters
Datasets and Benchmarks Track
A Recipe for Charge Density Prediction Xiang Fu, Andrew Rosen, Kyle Bystrom, Rui Wang, Albert Musaelian, Boris Kozinsky, Tess Smidt, Tommi Jaakkola
Main Conference Track
Deep Graph Mating Yongcheng Jing, Seok-Hee Hong, Dacheng Tao
Main Conference Track
LIVE: Learnable In-Context Vector for Visual Question Answering Yingzhe Peng, Chenduo Hao, Xinting Hu, Jiawei Peng, Xin Geng, Xu Yang
Main Conference Track
Online Relational Inference for Evolving Multi-agent Interacting Systems Beomseok Kang, Priyabrata Saha, Sudarshan Sharma, Biswadeep Chakraborty, Saibal Mukhopadhyay
Main Conference Track
Open-Book Neural Algorithmic Reasoning Hefei Li, Chao Peng, Chenyang Xu, Zhengfeng Yang
Main Conference Track
Classification Diffusion Models: Revitalizing Density Ratio Estimation Shahar Yadin, Noam Elata, Tomer Michaeli
Main Conference Track
Text-Infused Attention and Foreground-Aware Modeling for Zero-Shot Temporal Action Detection Yearang Lee, Ho-Joong Kim, Seong-Whan Lee
Main Conference Track
Online Budgeted Matching with General Bids Jianyi Yang, Pengfei Li, Adam Wierman, Shaolei Ren
Main Conference Track
Marginal Causal Flows for Validation and Inference Daniel de Vassimon Manela, Laura Battaglia, Robin J. Evans
Main Conference Track
CRAYM: Neural Field Optimization via Camera RAY Matching Liqiang Lin, Wenpeng Wu, Chi-Wing Fu, Hao Zhang, Hui Huang
Main Conference Track
The Road Less Scheduled Aaron Defazio, Xingyu (Alice) Yang, Harsh Mehta, Konstantin Mishchenko, Ahmed Khaled, Ashok Cutkosky
Main Conference Track
Resource-Aware Federated Self-Supervised Learning with Global Class Representations Mingyi Li, Xiao Zhang, Qi Wang, Tengfei Liu, Ruofan Wu, Weiqiang Wang, Fuzhen Zhuang, Hui Xiong, Dongxiao Yu
Main Conference Track
Spiking Transformer with Experts Mixture Zhaokun Zhou, Yijie Lu, Yanhao Jia, Kaiwei Che, Jun Niu, Liwei Huang, Xinyu Shi, Yuesheng Zhu, Guoqi Li, Zhaofei Yu, Li Yuan
Main Conference Track
Semantic Routing via Autoregressive Modeling Eric Zhao, Pranjal Awasthi, Zhengdao Chen, Sreenivas Gollapudi, Daniel Delling
Main Conference Track
DiscoveryWorld: A Virtual Environment for Developing and Evaluating Automated Scientific Discovery Agents Peter Jansen, Marc-Alexandre Côté, Tushar Khot, Erin Bransom, Bhavana Dalvi Mishra, Bodhisattwa Prasad Majumder, Oyvind Tafjord, Peter Clark
Datasets and Benchmarks Track
TSDS: Data Selection for Task-Specific Model Finetuning Zifan Liu, Amin Karbasi, Theodoros Rekatsinas
Main Conference Track
Fully Unconstrained Online Learning Ashok Cutkosky, Zakaria Mhammedi
Main Conference Track
Masked Hard-Attention Transformers Recognize Exactly the Star-Free Languages Andy Yang, David Chiang, Dana Angluin
Main Conference Track
CosAE: Learnable Fourier Series for Image Restoration Sifei Liu, Shalini De Mello, Jan Kautz
Main Conference Track
Exactly Minimax-Optimal Locally Differentially Private Sampling Hyun-Young Park, Shahab Asoodeh, Si-Hyeon Lee
Main Conference Track
Exploring Context Window of Large Language Models via Decomposed Positional Vectors Zican Dong, Junyi Li, Xin Men, Wayne Xin Zhao, Bingning Wang, Zhen Tian, Weipeng Chen, Ji-Rong Wen
Main Conference Track
Spectral Graph Pruning Against Over-Squashing and Over-Smoothing Adarsh Jamadandi, Celia Rubio-Madrigal, Rebekka Burkholz
Main Conference Track
Fairness in Social Influence Maximization via Optimal Transport Shubham Chowdhary, Giulia De Pasquale, Nicolas Lanzetti, Ana-Andreea Stoica, Florian Dörfler
Main Conference Track
ECLipsE: Efficient Compositional Lipschitz Constant Estimation for Deep Neural Networks Yuezhu Xu, S. Sivaranjani
Main Conference Track
FairJob: A Real-World Dataset for Fairness in Online Systems Mariia Vladimirova, Eustache Diemert, Federico Pavone
Datasets and Benchmarks Track
CRAG - Comprehensive RAG Benchmark Xiao Yang, Kai Sun, Hao Xin, Yushi Sun, Nikita Bhalla, Xiangsen Chen, Sajal Choudhary, Rongze Daniel Gui, Ziran Will Jiang, Ziyu Jiang, Lingkun Kong, Brian Moran, Jiaqi Wang, Yifan Ethan Xu, An Yan, Chenyu Yang, Eting Yuan, Hanwen Zha, Nan Tang, Lei Chen, Nicolas Scheffer, Yue Liu, Nirav Shah, Rakesh Wanga, Anuj Kumar, Wen-tau Yih, Xin Luna Dong
Datasets and Benchmarks Track
Stacking Your Transformers: A Closer Look at Model Growth for Efficient LLM Pre-Training Wenyu Du, Tongxu Luo, Zihan Qiu, Zeyu Huang, Yikang Shen, Reynold Cheng, Yike Guo, Jie Fu
Main Conference Track
Annealed Multiple Choice Learning: Overcoming limitations of Winner-takes-all with annealing David Perera, Victor Letzelter, Théo Mariotte, Adrien Cortés, Mickael Chen, Slim Essid, Gaël Richard
Main Conference Track
Are Multiple Instance Learning Algorithms Learnable for Instances? Jaeseok Jang, Hyuk-Yoon Kwon
Main Conference Track
Layer-Adaptive State Pruning for Deep State Space Models Minseon Gwak, Seongrok Moon, Joohwan Ko, PooGyeon Park
Main Conference Track
Score-based 3D molecule generation with neural fields Matthieu Kirchmeyer, Pedro O. Pinheiro, Saeed Saremi
Main Conference Track
PertEval: Unveiling Real Knowledge Capacity of LLMs with Knowledge-Invariant Perturbations Jiatong Li, Renjun Hu, Kunzhe Huang, Yan Zhuang, Qi Liu, Mengxiao Zhu, Xing Shi, Wei Lin
Datasets and Benchmarks Track
On Sparse Canonical Correlation Analysis Yongchun Li, Santanu S. Dey, Weijun Xie
Main Conference Track
A Pairwise Pseudo-likelihood Approach for Matrix Completion with Informative Missingness Jiangyuan Li, Jiayi Wang, Raymond K. W. Wong, Kwun Chuen Gary Chan
Main Conference Track
Toward Global Convergence of Gradient EM for Over-Paramterized Gaussian Mixture Models Weihang Xu, Maryam Fazel, Simon S. Du
Main Conference Track
Conditioning non-linear and infinite-dimensional diffusion processes Elizabeth Louise Baker, Gefan Yang, Michael L. Severinsen, Christy Anna Hipsley, Stefan Sommer
Main Conference Track
On Convergence of Adam for Stochastic Optimization under Relaxed Assumptions Yusu Hong, Junhong Lin
Main Conference Track
Quantum algorithm for large-scale market equilibrium computation Po-Wei Huang, Patrick Rebentrost
Main Conference Track
Adversarially Robust Dense-Sparse Tradeoffs via Heavy-Hitters David P. Woodruff, Samson Zhou
Main Conference Track
I Don't Know: Explicit Modeling of Uncertainty with an [IDK] Token Roi Cohen, Konstantin Dobler, Eden Biran, Gerard de Melo
Main Conference Track
Scaling Continuous Latent Variable Models as Probabilistic Integral Circuits Gennaro Gala, Cassio de Campos, Antonio Vergari, Erik Quaeghebeur
Main Conference Track
What do Graph Neural Networks learn? Insights from Tropical Geometry Tuan Anh Pham, Vikas Garg
Main Conference Track
Understanding the Expressivity and Trainability of Fourier Neural Operator: A Mean-Field Perspective Takeshi Koshizuka, Masahiro Fujisawa, Yusuke Tanaka, Issei Sato
Main Conference Track
Selective Attention: Enhancing Transformer through Principled Context Control Xuechen Zhang, Xiangyu Chang, Mingchen Li, Amit Roy-Chowdhury, Jiasi Chen, Samet Oymak
Main Conference Track
Differentially Private Stochastic Gradient Descent with Fixed-Size Minibatches: Tighter RDP Guarantees with or without Replacement Jeremiah Birrell, Reza Ebrahimi, Rouzbeh Behnia, Jason Pacheco
Main Conference Track
A Simple and Optimal Approach for Universal Online Learning with Gradient Variations Yu-Hu Yan, Peng Zhao, Zhi-Hua Zhou
Main Conference Track
LESS: Label-Efficient and Single-Stage Referring 3D Segmentation Xuexun Liu, Xiaoxu Xu, Jinlong Li, Qiudan Zhang, Xu Wang, Nicu Sebe, Lin Ma
Main Conference Track
Optimal Algorithms for Augmented Testing of Discrete Distributions Maryam Aliakbarpour, Piotr Indyk, Ronitt Rubinfeld, Sandeep Silwal
Main Conference Track
Personalized Instance-based Navigation Toward User-Specific Objects in Realistic Environments Luca Barsellotti, Roberto Bigazzi, Marcella Cornia, Lorenzo Baraldi, Rita Cucchiara
Datasets and Benchmarks Track
Mind the Gap Between Prototypes and Images in Cross-domain Finetuning Hongduan Tian, Feng Liu, Zhanke Zhou, Tongliang Liu, Chengqi Zhang, Bo Han
Main Conference Track
Robust Reinforcement Learning with General Utility Ziyi Chen, Yan Wen, Zhengmian Hu, Heng Huang
Main Conference Track
Addressing Bias in Online Selection with Limited Budget of Comparisons Ziyad Benomar, Evgenii Chzhen, Nicolas Schreuder, Vianney Perchet
Main Conference Track
MonoMAE: Enhancing Monocular 3D Detection through Depth-Aware Masked Autoencoders Xueying Jiang, Sheng Jin, Xiaoqin Zhang, Ling Shao, Shijian Lu
Main Conference Track
Measuring Goal-Directedness Matt MacDermott, James Fox, Francesco Belardinelli, Tom Everitt
Main Conference Track
Long-Range Feedback Spiking Network Captures Dynamic and Static Representations of the Visual Cortex under Movie Stimuli Liwei Huang, Zhengyu Ma, Liutao Yu, Huihui Zhou, Yonghong Tian
Main Conference Track
Typicalness-Aware Learning for Failure Detection Yijun Liu, Jiequan Cui, Zhuotao Tian, Senqiao Yang, Qingdong He, Xiaoling Wang, Jingyong Su
Main Conference Track
CVQA: Culturally-diverse Multilingual Visual Question Answering Benchmark David Romero, Chenyang Lyu, Haryo Akbarianto Wibowo, Teresa Lynn, Injy Hamed, Aditya Nanda Kishore, Aishik Mandal, Alina Dragonetti, Artem Abzaliev, Atnafu Lambebo Tonja, Bontu Fufa Balcha, Chenxi Whitehouse, Christian Salamea, Dan John Velasco, David Ifeoluwa Adelani, David Le Meur, Emilio Villa-Cueva, Fajri Koto, Fauzan Farooqui, Frederico Belcavello, Ganzorig Batnasan, Gisela Vallejo, Grainne Caulfield, Guido Ivetta, Haiyue Song, Henok Biadglign Ademtew, Hernán Maina, Holy Lovenia, Israel Abebe Azime, Jan Christian Blaise Cruz, Jay Gala, Jiahui Geng, Jesus-German Ortiz-Barajas, Jinheon Baek, Jocelyn Dunstan, Laura Alonso Alemany, Kumaranage Ravindu Yasas Nagasinghe, Luciana Benotti, Luis Fernando D'Haro, Marcelo Viridiano, Marcos Estecha-Garitagoitia, Maria Camila Buitrago Cabrera, Mario Rodríguez-Cantelar, Mélanie Jouitteau, Mihail Mihaylov, Naome Etori, Mohamed Fazli Mohamed Imam, Muhammad Farid Adilazuarda, Munkhjargal Gochoo, Munkh-Erdene Otgonbold, Olivier Niyomugisha, Paula Mónica Silva, Pranjal Chitale, Raj Dabre, Rendi Chevi, Ruochen Zhang, Ryandito Diandaru, Samuel Cahyawijaya, Santiago Góngora, Soyeong Jeong, Sukannya Purkayastha, Tatsuki Kuribayashi, Teresa Clifford, Thanmay Jayakumar, Tiago Timponi Torrent, Toqeer Ehsan, Vladimir Araujo, Yova Kementchedjhieva, Zara Burzo, Zheng Wei Lim, Zheng Xin Yong, Oana Ignat, Joan Nwatu, Rada Mihalcea, Thamar Solorio, Alham Fikri Aji
Datasets and Benchmarks Track
EffiBench: Benchmarking the Efficiency of Automatically Generated Code Dong Huang, Yuhao Qing, Weiyi Shang, Heming Cui, Jie M. Zhang
Datasets and Benchmarks Track
PutnamBench: Evaluating Neural Theorem-Provers on the Putnam Mathematical Competition George Tsoukalas, Jasper Lee, John Jennings, Jimmy Xin, Michelle Ding, Michael Jennings, Amitayush Thakur, Swarat Chaudhuri
Datasets and Benchmarks Track
Episodic Future Thinking Mechanism for Multi-agent Reinforcement Learning Dongsu Lee, Minhae Kwon
Main Conference Track
Slot State Space Models Jindong Jiang, Fei Deng, Gautam Singh, Minseung Lee, Sungjin Ahn
Main Conference Track
Incorporating Test-Time Optimization into Training with Dual Networks for Human Mesh Recovery Yongwei Nie, Mingxian Fan, Chengjiang Long, Qing Zhang, Jian Zhu, Xuemiao Xu
Main Conference Track
On the Identifiability of Poisson Branching Structural Causal Model Using Probability Generating Function Yu Xiang, Jie Qiao, Zhefeng Liang, Zihuai Zeng, Ruichu Cai, Zhifeng Hao
Main Conference Track
AsEP: Benchmarking Deep Learning Methods for Antibody-specific Epitope Prediction Chu'nan Liu, Lilian Denzler, Yihong Chen, Andrew Martin, Brooks Paige
Datasets and Benchmarks Track
Variational Flow Matching for Graph Generation Floor Eijkelboom, Grigory Bartosh, Christian A. Naesseth, Max Welling, Jan-Willem van de Meent
Main Conference Track
A Gradient Accumulation Method for Dense Retriever under Memory Constraint Jaehee Kim, Yukyung Lee, Pilsung Kang
Main Conference Track
Road Network Representation Learning with the Third Law of Geography Haicang Zhou, Weiming Huang, Yile Chen, Tiantian He, Gao Cong, Yew-Soon Ong
Main Conference Track
HyperPrism: An Adaptive Non-linear Aggregation Framework for Distributed Machine Learning over Non-IID Data and Time-varying Communication Links Haizhou Du, Yijian Chen, Ryan Yang, Yuchen Li, Linghe Kong
Main Conference Track
A Versatile Diffusion Transformer with Mixture of Noise Levels for Audiovisual Generation Gwanghyun Kim, Alonso Martinez, Yu-Chuan Su, Brendan Jou, José Lezama, Agrim Gupta, Lijun Yu, Lu Jiang, Aren Jansen, Jacob Walker, Krishna Somandepalli
Main Conference Track
GarmentLab: A Unified Simulation and Benchmark for Garment Manipulation Haoran Lu, Ruihai Wu, Yitong Li, Sijie Li, Ziyu Zhu, Chuanruo Ning, Yan Shen, Longzan Luo, Yuanpei Chen, Hao Dong
Main Conference Track
Interpretable Generalized Additive Models for Datasets with Missing Values Hayden McTavish, Jon Donnelly, Margo Seltzer, Cynthia Rudin
Main Conference Track
Kangaroo: Lossless Self-Speculative Decoding for Accelerating LLMs via Double Early Exiting Fangcheng Liu, Yehui Tang, Zhenhua Liu, Yunsheng Ni, Duyu Tang, Kai Han, Yunhe Wang
Main Conference Track
Identifying Selections for Unsupervised Subtask Discovery Yiwen Qiu, Yujia Zheng, Kun Zhang
Main Conference Track
Bandits with Preference Feedback: A Stackelberg Game Perspective Barna Pásztor, Parnian Kassraie, Andreas Krause
Main Conference Track
DMesh: A Differentiable Mesh Representation Sanghyun Son, Matheus Gadelha, Yang Zhou, Zexiang Xu, Ming C. Lin, Yi Zhou
Main Conference Track
UniTox: Leveraging LLMs to Curate a Unified Dataset of Drug-Induced Toxicity from FDA Labels Jake Silberg, Kyle Swanson, Elana Simon, Angela Zhang, Zaniar Ghazizadeh, Scott Ogden, Hisham Hamadeh, James Zou
Datasets and Benchmarks Track
MoE Jetpack: From Dense Checkpoints to Adaptive Mixture of Experts for Vision Tasks Xingkui Zhu, Yiran Guan, Dingkang Liang, Yuchao Chen, Yuliang Liu, Xiang Bai
Main Conference Track
Differentially Private Graph Diffusion with Applications in Personalized PageRanks Rongzhe Wei, Eli Chien, Pan Li
Main Conference Track
MMM-RS: A Multi-modal, Multi-GSD, Multi-scene Remote Sensing Dataset and Benchmark for Text-to-Image Generation Jialin Luo, Yuanzhi Wang, Ziqi Gu, Yide Qiu, Shuaizhen Yao, Fuyun Wang, Chunyan Xu, Wenhua Zhang, Dan Wang, Zhen Cui
Datasets and Benchmarks Track
Exploring Structured Semantic Priors Underlying Diffusion Score for Test-time Adaptation Mingjia Li, Shuang Li, Tongrui Su, Longhui Yuan, Jian Liang, Wei Li
Main Conference Track
Action Imitation in Common Action Space for Customized Action Image Synthesis Wang Lin, Jingyuan Chen, Jiaxin Shi, Zirun Guo, Yichen Zhu, Zehan Wang, Tao Jin, Zhou Zhao, Fei Wu, Shuicheng YAN, Hanwang Zhang
Main Conference Track
PhoCoLens: Photorealistic and Consistent Reconstruction in Lensless Imaging Xin Cai, Zhiyuan You, Hailong Zhang, Wentao Liu, Jinwei Gu, Tianfan Xue
Main Conference Track
The Importance of Online Data: Understanding Preference Fine-tuning via Coverage Yuda Song, Gokul Swamy, Aarti Singh, J. Andrew Bagnell, Wen Sun
Main Conference Track
LiveScene: Language Embedding Interactive Radiance Fields for Physical Scene Control and Rendering Delin Qu, Qizhi Chen, Pingrui Zhang, Xianqiang Gao, Bin Zhao, Zhigang Wang, Dong Wang, Xuelong Li
Main Conference Track
What makes unlearning hard and what to do about it Kairan Zhao, Meghdad Kurmanji, George-Octavian Barbulescu, Eleni Triantafillou, Peter Triantafillou
Main Conference Track
The Power of Resets in Online Reinforcement Learning Zakaria Mhammedi, Dylan J. Foster, Alexander Rakhlin
Main Conference Track
Gaussian Approximation and Multiplier Bootstrap for Polyak-Ruppert Averaged Linear Stochastic Approximation with Applications to TD Learning Sergey Samsonov, Eric Moulines, Qi-Man Shao, Zhuo-Song Zhang, Alexey Naumov
Main Conference Track
DigiRL: Training In-The-Wild Device-Control Agents with Autonomous Reinforcement Learning Hao Bai, Yifei Zhou, Mert Cemri, Jiayi Pan, Alane Suhr, Sergey Levine, Aviral Kumar
Main Conference Track
Invertible Consistency Distillation for Text-Guided Image Editing in Around 7 Steps Nikita Starodubcev, Mikhail Khoroshikh, Artem Babenko, Dmitry Baranchuk
Main Conference Track
Distributionally Robust Reinforcement Learning with Interactive Data Collection: Fundamental Hardness and Near-Optimal Algorithms Miao Lu, Han Zhong, Tong Zhang, Jose Blanchet
Main Conference Track
Reversing the Forget-Retain Objectives: An Efficient LLM Unlearning Framework from Logit Difference Jiabao Ji, Yujian Liu, Yang Zhang, Gaowen Liu, Ramana Rao Kompella, Sijia Liu, Shiyu Chang
Main Conference Track
Scaling the Codebook Size of VQ-GAN to 100,000 with a Utilization Rate of 99% Lei Zhu, Fangyun Wei, Yanye Lu, Dong Chen
Main Conference Track
Representation Noising: A Defence Mechanism Against Harmful Finetuning Domenic Rosati, Jan Wehner, Kai Williams, Łukasz Bartoszcze, David Atanasov, Robie Gonzales, Subhabrata Majumdar, Carsten Maple, Hassan Sajjad, Frank Rudzicz
Main Conference Track
Towards Calibrated Robust Fine-Tuning of Vision-Language Models Changdae Oh, Hyesu Lim, Mijoo Kim, Dongyoon Han, Sangdoo Yun, Jaegul Choo, Alexander Hauptmann, Zhi-Qi Cheng, Kyungwoo Song
Main Conference Track
Towards Safe Concept Transfer of Multi-Modal Diffusion via Causal Representation Editing Peiran Dong, Bingjie Wang, Song Guo, Junxiao Wang, Jie Zhang, Zicong Hong
Main Conference Track
Variational Distillation of Diffusion Policies into Mixture of Experts Hongyi Zhou, Denis Blessing, Ge Li, Onur Celik, Xiaogang Jia, Gerhard Neumann, Rudolf Lioutikov
Main Conference Track
Handling Learnwares from Heterogeneous Feature Spaces with Explicit Label Exploitation Peng Tan, Hai-Tian Liu, Zhi-Hao Tan, Zhi-Hua Zhou
Main Conference Track
ROIDICE: Offline Return on Investment Maximization for Efficient Decision Making Woosung Kim, Hayeong Lee, Jongmin Lee, Byung-Jun Lee
Main Conference Track
Generalization Bound and Learning Methods for Data-Driven Projections in Linear Programming Shinsaku Sakaue, Taihei Oki
Main Conference Track
CV-VAE: A Compatible Video VAE for Latent Generative Video Models Sijie Zhao, Yong Zhang, Xiaodong Cun, Shaoshu Yang, Muyao Niu, Xiaoyu Li, Wenbo Hu, Ying Shan
Main Conference Track
Historical Test-time Prompt Tuning for Vision Foundation Models Jingyi Zhang, Jiaxing Huang, Xiaoqin Zhang, Ling Shao, Shijian Lu
Main Conference Track
Non-asymptotic Analysis of Biased Adaptive Stochastic Approximation Sobihan Surendran, Adeline Fermanian, Antoine Godichon-Baggioni, Sylvain Le Corff
Main Conference Track
Regret Minimization in Stackelberg Games with Side Information Keegan Harris, Zhiwei Steven Wu, Maria-Florina Balcan
Main Conference Track
Navigating the Effect of Parametrization for Dimensionality Reduction Haiyang Huang, Yingfan Wang, Cynthia Rudin
Main Conference Track
DrivingDojo Dataset: Advancing Interactive and Knowledge-Enriched Driving World Model Yuqi Wang, Ke Cheng, Jiawei He, Qitai Wang, Hengchen Dai, Yuntao Chen, Fei Xia, Zhaoxiang Zhang
Datasets and Benchmarks Track
Peri-midFormer: Periodic Pyramid Transformer for Time Series Analysis Qiang Wu, Gechang Yao, Zhixi Feng, Shuyuan Yang
Main Conference Track
QKFormer: Hierarchical Spiking Transformer using Q-K Attention Chenlin Zhou, Han Zhang, Zhaokun Zhou, Liutao Yu, Liwei Huang, Xiaopeng Fan, Li Yuan, Zhengyu Ma, Huihui Zhou, Yonghong Tian
Main Conference Track
DapperFL: Domain Adaptive Federated Learning with Model Fusion Pruning for Edge Devices Yongzhe Jia, Xuyun Zhang, Hongsheng Hu, Kim-Kwang Raymond Choo, Lianyong Qi, Xiaolong Xu, Amin Beheshti, Wanchun Dou
Main Conference Track
Policy-shaped prediction: avoiding distractions in model-based reinforcement learning Miles Hutson, Isaac Kauvar, Nick Haber
Main Conference Track
Fundamental Convergence Analysis of Sharpness-Aware Minimization Pham Duy Khanh, Hoang-Chau Luong, Boris S. Mordukhovich, Dat Ba Tran
Main Conference Track
Honor Among Bandits: No-Regret Learning for Online Fair Division Ariel D. Procaccia, Benjamin Schiffer, Shirley Zhang
Main Conference Track
BLURD: Benchmarking and Learning using a Unified Rendering and Diffusion Model Boris Repasky, Anthony Dick, Ehsan Abbasnejad
Datasets and Benchmarks Track
Learning to grok: Emergence of in-context learning and skill composition in modular arithmetic tasks Tianyu He, Darshil Doshi, Aritra Das, Andrey Gromov
Main Conference Track
Zero-Shot Event-Intensity Asymmetric Stereo via Visual Prompting from Image Domain Hanyue Lou, Jinxiu Liang, Minggui Teng, Bin Fan, Yong Xu, Boxin Shi
Main Conference Track
Towards Comprehensive Detection of Chinese Harmful Memes Junyu Lu, Bo Xu, Xiaokun Zhang, Hongbo Wang, Haohao Zhu, Dongyu Zhang, Liang Yang, Hongfei Lin
Datasets and Benchmarks Track
On improved Conditioning Mechanisms and Pre-training Strategies for Diffusion Models Tariq Berrada, Pietro Astolfi, Melissa Hall, Reyhane Askari-Hemmat, Yohann Benchetrit, Marton Havasi, Matthew Muckley, Karteek Alahari, Adriana Romero-Soriano, Jakob Verbeek, Michal Drozdzal
Main Conference Track
$\texttt{Model-GLUE}$: Democratized LLM Scaling for A Large Model Zoo in the Wild Xinyu Zhao, Guoheng Sun, Ruisi Cai, Yukun Zhou, Pingzhi Li, Peihao Wang, Bowen Tan, Yexiao He, Li Chen, Yi Liang, Beidi Chen, Binhang Yuan, Hongyi Wang, Ang Li, Zhangyang Wang, Tianlong Chen
Datasets and Benchmarks Track
A Full-duplex Speech Dialogue Scheme Based On Large Language Model Peng Wang, Songshuo Lu, Yaohua Tang, Sijie Yan, Wei Xia, Yuanjun Xiong
Main Conference Track
MultiPull: Detailing Signed Distance Functions by Pulling Multi-Level Queries at Multi-Step Takeshi Noda, Chao Chen, Weiqi Zhang, Xinhai Liu, Yu-Shen Liu, Zhizhong Han
Main Conference Track
Learning Cooperative Trajectory Representations for Motion Forecasting Hongzhi Ruan, Haibao Yu, Wenxian Yang, Siqi Fan, Zaiqing Nie
Main Conference Track
eXponential FAmily Dynamical Systems (XFADS): Large-scale nonlinear Gaussian state-space modeling Matthew Dowling, Yuan Zhao, Il Memming Park
Main Conference Track
AROMA: Preserving Spatial Structure for Latent PDE Modeling with Local Neural Fields Louis Serrano, Thomas X Wang, Etienne Le Naour, Jean-Noël Vittaut, Patrick Gallinari
Main Conference Track
Parameter Efficient Adaptation for Image Restoration with Heterogeneous Mixture-of-Experts Hang Guo, Tao Dai, Yuanchao Bai, Bin Chen, Xudong Ren, Zexuan Zhu, Shu-Tao Xia
Main Conference Track
DiffCut: Catalyzing Zero-Shot Semantic Segmentation with Diffusion Features and Recursive Normalized Cut Paul Couairon, Mustafa Shukor, Jean-Emmanuel Haugeard, Matthieu Cord, Nicolas Thome
Main Conference Track
BitDelta: Your Fine-Tune May Only Be Worth One Bit James Liu, Guangxuan Xiao, Kai Li, Jason D. Lee, Song Han, Tri Dao, Tianle Cai
Main Conference Track
LION: Linear Group RNN for 3D Object Detection in Point Clouds Zhe Liu, Jinghua Hou, Xinyu Wang, Xiaoqing Ye, Jingdong Wang, Hengshuang Zhao, Xiang Bai
Main Conference Track
$SE(3)$ Equivariant Ray Embeddings for Implicit Multi-View Depth Estimation Yinshuang Xu, Dian Chen, Katherine Liu, Sergey Zakharov, Rares Ambrus, Kostas Daniilidis, Vitor Guizilini
Main Conference Track
Fast and Memory-Efficient Video Diffusion Using Streamlined Inference Zheng Zhan, Yushu Wu, Yifan Gong, Zichong Meng, Zhenglun Kong, Changdi Yang, Geng Yuan, Pu Zhao, Wei Niu, Yanzhi Wang
Main Conference Track
Sparse High Rank Adapters Kartikeya Bhardwaj, Nilesh Prasad Pandey, Sweta Priyadarshi, Viswanath Ganapathy, Shreya Kadambi, Rafael Esteves, Shubhankar Borse, Paul Whatmough, Risheek Garrepalli, Mart Van Baalen, Harris Teague, Markus Nagel
Main Conference Track
Beyond Aesthetics: Cultural Competence in Text-to-Image Models Nithish Kannen, Arif Ahmad, Marco Andreetto, Vinodkumar Prabhakaran, Utsav Prabhu, Adji Bousso Dieng, Pushpak Bhattacharyya, Shachi Dave
Datasets and Benchmarks Track
Pretraining with Random Noise for Fast and Robust Learning without Weight Transport Jeonghwan Cheon, Sang Wan Lee, Se-Bum Paik
Main Conference Track
High-Resolution Image Harmonization with Adaptive-Interval Color Transformation Quanling Meng, Qinglin Liu, Zonglin Li, Xiangyuan Lan, Shengping Zhang, Liqiang Nie
Main Conference Track
Pseudo-Siamese Blind-spot Transformers for Self-Supervised Real-World Denoising Yuhui Quan, Tianxiang Zheng, Hui Ji
Main Conference Track
Expected Probabilistic Hierarchies Marcel Kollovieh, Bertrand Charpentier, Daniel Zügner, Stephan Günnemann
Main Conference Track
Video Token Merging for Long Video Understanding Seon-Ho Lee, Jue Wang, Zhikang Zhang, David Fan, Xinyu Li
Main Conference Track
Alignment at Pre-training! Towards Native Alignment for Arabic LLMs Juhao Liang, Zhenyang Cai, Jianqing Zhu, Huang Huang, Kewei Zong, Bang An, Abdulmohsen Alharthi, Juncai He, Lian Zhang, Haizhou Li, Benyou Wang, Jinchao Xu
Main Conference Track
FSP-Laplace: Function-Space Priors for the Laplace Approximation in Bayesian Deep Learning Tristan Cinquin, Marvin Pförtner, Vincent Fortuin, Philipp Hennig, Robert Bamler
Main Conference Track
SCAFFLSA: Taming Heterogeneity in Federated Linear Stochastic Approximation and TD Learning Paul Mangold, Sergey Samsonov, Safwan Labbi, Ilya Levin, Reda Alami, Alexey Naumov, Eric Moulines
Main Conference Track
Sequential Probability Assignment with Contexts: Minimax Regret, Contextual Shtarkov Sums, and Contextual Normalized Maximum Likelihood Ziyi Liu, Idan Attias, Daniel M. Roy
Main Conference Track
Functional Bilevel Optimization for Machine Learning Ieva Petrulionyte, Julien Mairal, Michael Arbel
Main Conference Track
Emergence of heavy tails in homogenized stochastic gradient descent Zhe Jiao, Martin Keller-Ressel
Main Conference Track
Initialization is Critical to Whether Transformers Fit Composite Functions by Reasoning or Memorizing Zhongwang Zhang, Pengxiao Lin, Zhiwei Wang, Yaoyu Zhang, Zhi-Qin John Xu
Main Conference Track
Learning Interaction-aware 3D Gaussian Splatting for One-shot Hand Avatars Xuan Huang, Hanhui Li, Wanquan Liu, Xiaodan Liang, Yiqiang Yan, Yuhao Cheng, Chengqiang Gao
Main Conference Track
Learning-Augmented Dynamic Submodular Maximization Arpit Agarwal, Eric Balkanski
Main Conference Track
IF-Font: Ideographic Description Sequence-Following Font Generation Xinping Chen, Xiao Ke, Wenzhong Guo
Main Conference Track
DataComp-LM: In search of the next generation of training sets for language models Jeffrey Li, Alex Fang, Georgios Smyrnis, Maor Ivgi, Matt Jordan, Samir Gadre, Hritik Bansal, Etash Guha, Sedrick Keh, Kushal Arora, Saurabh Garg, Rui Xin, Niklas Muennighoff, Reinhard Heckel, Jean Mercat, Mayee Chen, Suchin Gururangan, Mitchell Wortsman, Alon Albalak, Yonatan Bitton, Marianna Nezhurina, Amro Abbas, Cheng-Yu Hsieh, Dhruba Ghosh, Josh Gardner, Maciej Kilian, Hanlin Zhang, Rulin Shao, Sarah Pratt, Sunny Sanyal, Gabriel Ilharco, Giannis Daras, Kalyani Marathe, Aaron Gokaslan, Jieyu Zhang, Khyathi Chandu, Thao Nguyen, Igor Vasiljevic, Sham Kakade, Shuran Song, Sujay Sanghavi, Fartash Faghri, Sewoong Oh, Luke Zettlemoyer, Kyle Lo, Alaaeldin El-Nouby, Hadi Pouransari, Alexander Toshev, Stephanie Wang, Dirk Groeneveld, Luca Soldaini, Pang Wei Koh, Jenia Jitsev, Thomas Kollar, Alexandros G. Dimakis, Yair Carmon, Achal Dave, Ludwig Schmidt, Vaishaal Shankar
Datasets and Benchmarks Track
Pretrained Optimization Model for Zero-Shot Black Box Optimization Xiaobin Li, Kai Wu, Yujian Betterrest Li, Xiaoyu Zhang, Handing Wang, Jing Liu
Main Conference Track
Leveraging Visual Tokens for Extended Text Contexts in Multi-Modal Learning Alex Jinpeng Wang, Linjie Li, Yiqi Lin, Min Li, Lijuan Wang, Mike Zheng Shou
Main Conference Track
Boundary Decomposition for Nadir Objective Vector Estimation Ruihao Zheng, Zhenkun Wang
Main Conference Track
Recurrent Reinforcement Learning with Memoroids Steven Morad, Chris Lu, Ryan Kortvelesy, Stephan Liwicki, Jakob Foerster, Amanda Prorok
Main Conference Track
Image Copy Detection for Diffusion Models Wenhao Wang, Yifan Sun, Zhentao Tan, Yi Yang
Main Conference Track
Federated Fine-tuning of Large Language Models under Heterogeneous Tasks and Client Resources Jiamu Bai, Daoyuan Chen, Bingchen Qian, Liuyi Yao, Yaliang Li
Main Conference Track
Interaction-Force Transport Gradient Flows Egor Gladin, Pavel Dvurechensky, Alexander Mielke, Jia-Jie Zhu
Main Conference Track
TreeVI: Reparameterizable Tree-structured Variational Inference for Instance-level Correlation Capturing Junxi Xiao, Qinliang Su
Main Conference Track
Optimal Parallelization of Boosting Arthur da Cunha, Mikael Møller Høgsgaard, Kasper Green Larsen
Main Conference Track
ProgressGym: Alignment with a Millennium of Moral Progress Tianyi Qiu, Yang Zhang, Xuchuan Huang, Jasmine Xinze Li, Jiaming Ji, Yaodong Yang
Datasets and Benchmarks Track
Catastrophic Goodhart: regularizing RLHF with KL divergence does not mitigate heavy-tailed reward misspecification Thomas Kwa, Drake Thomas, Adrià Garriga-Alonso
Main Conference Track
Segmenting Watermarked Texts From Language Models Xingchi Li, Guanxun Li, Xianyang Zhang
Main Conference Track
Data-Efficient Learning with Neural Programs Alaia Solko-Breslin, Seewon Choi, Ziyang Li, Neelay Velingker, Rajeev Alur, Mayur Naik, Eric Wong
Main Conference Track
Language Models as Hierarchy Encoders Yuan He, Zhangdie Yuan, Jiaoyan Chen, Ian Horrocks
Main Conference Track
Unconditional stability of a recurrent neural circuit implementing divisive normalization Shivang Rawat, David J. Heeger, Stefano Martiniani
Main Conference Track
G2D: From Global to Dense Radiography Representation Learning via Vision-Language Pre-training Che Liu, Cheng Ouyang, Sibo Cheng, Anand Shah, Wenjia Bai, Rossella Arcucci
Main Conference Track
On the Role of Attention Masks and LayerNorm in Transformers Xinyi Wu, Amir Ajorlou, Yifei Wang, Stefanie Jegelka, Ali Jadbabaie
Main Conference Track
Directional Smoothness and Gradient Methods: Convergence and Adaptivity Aaron Mishkin, Ahmed Khaled, Yuanhao Wang, Aaron Defazio, Robert M. Gower
Main Conference Track
OVT-B: A New Large-Scale Benchmark for Open-Vocabulary Multi-Object Tracking Haiji Liang, Ruize Han
Datasets and Benchmarks Track
The Implicit Bias of Heterogeneity towards Invariance: A Study of Multi-Environment Matrix Sensing Yang Xu, Yihong Gu, Cong Fang
Main Conference Track
MemVLT: Vision-Language Tracking with Adaptive Memory-based Prompts Xiaokun Feng, Xuchen Li, Shiyu Hu, Dailing Zhang, Meiqi Wu, Jing Zhang, Xiaotang Chen, Kaiqi Huang
Main Conference Track
Towards Universal Mesh Movement Networks Mingrui Zhang, Chunyang Wang, Stephan Kramer, Joseph G. Wallwork, Siyi Li, Jiancheng Liu, Xiang Chen, Matthew D. Piggott
Main Conference Track
Natural Counterfactuals With Necessary Backtracking Guang-Yuan Hao, Jiji Zhang, Biwei Huang, Hao Wang, Kun Zhang
Main Conference Track
BLAST: Block-Level Adaptive Structured Matrices for Efficient Deep Neural Network Inference Changwoo Lee, Soo Min Kwon, Qing Qu, Hun-Seok Kim
Main Conference Track
CLIPLoss and Norm-Based Data Selection Methods for Multimodal Contrastive Learning Yiping Wang, Yifang Chen, Wendan Yan, Alex Fang, Wenjing Zhou, Kevin Jamieson, Simon Shaolei Du
Main Conference Track
ReLIZO: Sample Reusable Linear Interpolation-based Zeroth-order Optimization Xiaoxing Wang, Xiaohan Qin, Xiaokang Yang, Junchi Yan
Main Conference Track
Entity Alignment with Noisy Annotations from Large Language Models Shengyuan Chen, Qinggang Zhang, Junnan Dong, Wen Hua, Qing Li, Xiao Huang
Main Conference Track
How Diffusion Models Learn to Factorize and Compose Qiyao Liang, Ziming Liu, Mitchell Ostrow, Ila Fiete
Main Conference Track
Learning to Mitigate Externalities: the Coase Theorem with Hindsight Rationality Antoine Scheid, Aymeric Capitaine, Etienne Boursier, Eric Moulines, Michael I. Jordan, Alain Durmus
Main Conference Track
Touchstone Benchmark: Are We on the Right Way for Evaluating AI Algorithms for Medical Segmentation? Pedro R. A. S. Bassi, Wenxuan Li, Yucheng Tang, Fabian Isensee, Zifu Wang, Jieneng Chen, Yu-Cheng Chou, Saikat Roy, Yannick Kirchhoff, Maximilian Rokuss, Ziyan Huang, Jin Ye, Junjun He, Tassilo Wald, Constantin Ulrich, Michael Baumgartner, Klaus H. Maier-Hein, Paul Jaeger, Yiwen Ye, Yutong Xie, Jianpeng Zhang, Ziyang Chen, Yong Xia, Zhaohu Xing, Lei Zhu, Yousef Sadegheih, Afshin Bozorgpour, Pratibha Kumari, Reza Azad, Dorit Merhof, Pengcheng Shi, Ting Ma, Yuxin Du, Fan Bai, Tiejun Huang, Bo Zhao, Haonan Wang, Xiaomeng Li, Hanxue Gu, Haoyu Dong, Jichen Yang, Maciej A. Mazurowski, Saumya Gupta, Linshan Wu, Jiaxin Zhuang, Hao Chen, Holger Roth, Daguang Xu, Matthew B. Blaschko, Sergio Decherchi, Andrea Cavalli, Alan L. Yuille, Zongwei Zhou
Datasets and Benchmarks Track
Lower Bounds of Uniform Stability in Gradient-Based Bilevel Algorithms for Hyperparameter Optimization Rongzhen Wang, Chenyu Zheng, Guoqiang Wu, Xu Min, Xiaolu Zhang, Jun Zhou, Chongxuan Li
Main Conference Track
Improving self-training under distribution shifts via anchored confidence with theoretical guarantees Taejong Joo, Diego Klabjan
Main Conference Track
4Diffusion: Multi-view Video Diffusion Model for 4D Generation Haiyu Zhang, Xinyuan Chen, Yaohui Wang, Xihui Liu, Yunhong Wang, Yu Qiao
Main Conference Track
How do Large Language Models Handle Multilingualism? Yiran Zhao, Wenxuan Zhang, Guizhen Chen, Kenji Kawaguchi, Lidong Bing
Main Conference Track
Improving Deep Reinforcement Learning by Reducing the Chain Effect of Value and Policy Churn Hongyao Tang, Glen Berseth
Main Conference Track
Benchmarking LLMs via Uncertainty Quantification Fanghua Ye, Mingming Yang, Jianhui Pang, Longyue Wang, Derek F. Wong, Emine Yilmaz, Shuming Shi, Zhaopeng Tu
Datasets and Benchmarks Track
No Train, all Gain: Self-Supervised Gradients Improve Deep Frozen Representations Walter Simoncini, Spyros Gidaris, Andrei Bursuc, Yuki M. Asano
Main Conference Track
ChatQA: Surpassing GPT-4 on Conversational QA and RAG Zihan Liu, Wei Ping, Rajarshi Roy, Peng Xu, Chankyu Lee, Mohammad Shoeybi, Bryan Catanzaro
Main Conference Track
Improving Linear System Solvers for Hyperparameter Optimisation in Iterative Gaussian Processes Jihao Andreas Lin, Shreyas Padhy, Bruno Mlodozeniec, Javier Antorán, José Miguel Hernández-Lobato
Main Conference Track
Coevolving with the Other You: Fine-Tuning LLM with Sequential Cooperative Multi-Agent Reinforcement Learning Hao Ma, Tianyi Hu, Zhiqiang Pu, Boyin Liu, Xiaolin Ai, Yanyan Liang, Min Chen
Main Conference Track
FT-AED: Benchmark Dataset for Early Freeway Traffic Anomalous Event Detection Austin Coursey, Junyi Ji, Marcos Quinones-Grueiro, William Barbour, Yuhang Zhang, Tyler Derr, Gautam Biswas, Daniel B. Work
Datasets and Benchmarks Track
CoBo: Collaborative Learning via Bilevel Optimization Diba Hashemi, Lie He, Martin Jaggi
Main Conference Track
FasMe: Fast and Sample-efficient Meta Estimator for Precision Matrix Learning in Small Sample Settings Xiao Tan, Yiqin Wang, Yangyang Shen, Dian Shen, Meng Wang, Peibo Duan, Beilun Wang
Main Conference Track
HYSYNTH: Context-Free LLM Approximation for Guiding Program Synthesis Shraddha Barke, Emmanuel Anaya Gonzalez, Saketh Ram Kasibatla, Taylor Berg-Kirkpatrick, Nadia Polikarpova
Main Conference Track
MTGS: A Novel Framework for Multi-Person Temporal Gaze Following and Social Gaze Prediction Anshul Gupta, Samy Tafasca, Arya Farkhondeh, Pierre Vuillecard, Jean-Marc Odobez
Main Conference Track
Can Large Language Model Agents Simulate Human Trust Behavior? Feiran Jia, Ziyu Ye, Shiyang Lai, Kai Shu, Jindong Gu, Adel Bibi, Ziniu Hu, David Jurgens, James Evans, Philip H.S. Torr, Bernard Ghanem, Guohao Li, Chengxing Xie, Canyu Chen
Main Conference Track
Enhancing Multiple Dimensions of Trustworthiness in LLMs via Sparse Activation Control Yuxin Xiao, Chaoqun Wan, Yonggang Zhang, Wenxiao Wang, Binbin Lin, Xiaofei He, Xu Shen, Jieping Ye
Main Conference Track
EEVR: A Dataset of Paired Physiological Signals and Textual Descriptions for Joint Emotion Representation Learning Pragya Singh, Ritvik Budhiraja, Ankush Gupta, Anshul Goswami, Mohan Kumar, Pushpendra Singh
Datasets and Benchmarks Track
Evaluating Large Vision-and-Language Models on Children's Mathematical Olympiads Anoop Cherian, Kuan-Chuan Peng, Suhas Lohit, Joanna Matthiesen, Kevin Smith, Joshua B. Tenenbaum
Datasets and Benchmarks Track
Stress-Testing Long-Context Language Models with Lifelong ICL and Task Haystack Xiaoyue Xu, Qinyuan Ye, Xiang Ren
Datasets and Benchmarks Track
Observational Scaling Laws and the Predictability of Langauge Model Performance Yangjun Ruan, Chris J. Maddison, Tatsunori Hashimoto
Main Conference Track
Embedding-Aligned Language Models Guy Tennenholtz, Yinlam Chow, Chih-Wei Hsu, Lior Shani, Ethan Liang, Craig Boutilier
Main Conference Track
How to Boost Any Loss Function Richard Nock, Yishay Mansour
Main Conference Track
Pearls from Pebbles: Improved Confidence Functions for Auto-labeling Harit Vishwakarma, Yi Chen, Sui Jiet Tay, Satya Sai Srinath Namburi, Frederic Sala, Ramya Korlakai Vinayak
Main Conference Track
SHMT: Self-supervised Hierarchical Makeup Transfer via Latent Diffusion Models Zhaoyang Sun, Shengwu Xiong, Yaxiong Chen, Fei Du, Weihua Chen, Fan Wang, Yi Rong
Main Conference Track
Mixture of Link Predictors on Graphs Li Ma, Haoyu Han, Juanhui Li, Harry Shomer, Hui Liu, Xiaofeng Gao, Jiliang Tang
Main Conference Track
No Regrets: Investigating and Improving Regret Approximations for Curriculum Discovery Alex Rutherford, Michael Beukman, Timon Willi, Bruno Lacerda, Nick Hawes, Jakob Foerster
Main Conference Track
Automated Efficient Estimation using Monte Carlo Efficient Influence Functions Raj Agrawal, Sam Witty, Andy Zane, Eli Bingham
Main Conference Track
AR-Pro: Counterfactual Explanations for Anomaly Repair with Formal Properties Xiayan Ji, Anton Xue, Eric Wong, Oleg Sokolsky, Insup Lee
Main Conference Track
Stability and Generalization of Adversarial Training for Shallow Neural Networks with Smooth Activation Kaibo Zhang, Yunjuan Wang, Raman Arora
Main Conference Track
DPIC: Decoupling Prompt and Intrinsic Characteristics for LLM Generated Text Detection Xiao Yu, Yuang Qi, Kejiang Chen, Guoqiang Chen, Xi Yang, Pengyuan Zhu, Xiuwei Shang, Weiming Zhang, Nenghai Yu
Main Conference Track
Melting Pot Contest: Charting the Future of Generalized Cooperative Intelligence Rakshit S Trivedi, Akbir Khan, Jesse Clifton, Lewis Hammond, Edgar A. Duéñez-Guzmán, John P Agapiou, Jayd Matyas, Sasha Vezhnevets, Dipam Chakraborty, Yue Zhao, Marko Tesic, Barna Pásztor, Yunke Ao, Omar G. Younis, Jiawei Huang, Benjamin Swain, Haoyuan Qin, Mian Deng, Ziwei Deng, Utku Erdoğanaras, Natasha Jaques, Jakob Nicolaus Foerster, Vincent Conitzer, Jose Hernandez-Orallo, Dylan Hadfield-Menell, Joel Z Leibo
Datasets and Benchmarks Track
Collaborative Video Diffusion: Consistent Multi-video Generation with Camera Control Zhengfei Kuang, Shengqu Cai, Hao He, Yinghao Xu, Hongsheng Li, Leonidas Guibas, Gordon Wetzstein
Main Conference Track
Text to Blind Motion Hee Jae Kim, Kathakoli Sengupta, Masaki Kuribayashi, Hernisa Kacorri, Eshed Ohn-Bar
Datasets and Benchmarks Track
Cryptographic Hardness of Score Estimation Min Jae Song
Main Conference Track
The Secretary Problem with Predicted Additive Gap Alexander Braun, Sherry Sarkar
Main Conference Track
SpecExec: Massively Parallel Speculative Decoding For Interactive LLM Inference on Consumer Devices Ruslan Svirschevski, Avner May, Zhuoming Chen, Beidi Chen, Zhihao Jia, Max Ryabinin
Main Conference Track
From Unstructured Data to In-Context Learning: Exploring What Tasks Can Be Learned and When Kevin Christian Wibisono, Yixin Wang
Main Conference Track
Are Large-scale Soft Labels Necessary for Large-scale Dataset Distillation? Lingao Xiao, Yang He
Main Conference Track
Linear Uncertainty Quantification of Graphical Model Inference Chenghua Guo, Han Yu, Jiaxin Liu, Chao Chen, Qi Li, Sihong Xie, Xi Zhang
Main Conference Track
4+3 Phases of Compute-Optimal Neural Scaling Laws Elliot Paquette, Courtney Paquette, Lechao Xiao, Jeffrey Pennington
Main Conference Track
Learning Mixtures of Unknown Causal Interventions Abhinav Kumar, Kirankumar Shiragur, Caroline Uhler
Main Conference Track
On the Noise Robustness of In-Context Learning for Text Generation Hongfu Gao, Feipeng Zhang, Wenyu Jiang, Jun Shu, Feng Zheng, Hongxin Wei
Main Conference Track
Mercury: A Code Efficiency Benchmark for Code Large Language Models Mingzhe Du, Luu Anh Tuan, Bin Ji, Qian Liu, See-Kiong Ng
Datasets and Benchmarks Track
LVD-2M: A Long-take Video Dataset with Temporally Dense Captions Tianwei Xiong, Yuqing Wang, Daquan Zhou, Zhijie Lin, Jiashi Feng, Xihui Liu
Datasets and Benchmarks Track
Implicit Regularization of Decentralized Gradient Descent for Sparse Regression Tongle Wu, Ying Sun
Main Conference Track
Loki: Low-rank Keys for Efficient Sparse Attention Prajwal Singhania, Siddharth Singh, Shwai He, Soheil Feizi, Abhinav Bhatele
Main Conference Track
VB-LoRA: Extreme Parameter Efficient Fine-Tuning with Vector Banks Yang Li, Shaobo Han, Shihao Ji
Main Conference Track
ST$_k$: A Scalable Module for Solving Top-k Problems Hanchen Xia, Weidong Liu, Xiaojun Mao
Main Conference Track
Non-geodesically-convex optimization in the Wasserstein space Hoang Phuc Hau Luu, Hanlin Yu, Bernardo Williams, Petrus Mikkola, Marcelo Hartmann, Kai Puolamäki, Arto Klami
Main Conference Track
Non-asymptotic Global Convergence Analysis of BFGS with the Armijo-Wolfe Line Search Qiujiang Jin, Ruichen Jiang, Aryan Mokhtari
Main Conference Track
Enhancing Preference-based Linear Bandits via Human Response Time Shen Li, Yuyang Zhang, Zhaolin Ren, Claire Liang, Na Li, Julie A. Shah
Main Conference Track
Zero-Shot Reinforcement Learning from Low Quality Data Scott Jeen, Tom Bewley, Jonathan M. Cullen
Main Conference Track
Ordered Momentum for Asynchronous SGD Chang-Wei Shi, Yi-Rui Yang, Wu-Jun Li
Main Conference Track
GlotCC: An Open Broad-Coverage CommonCrawl Corpus and Pipeline for Minority Languages Amir Hossein Kargaran, François Yvon, Hinrich Schütze
Datasets and Benchmarks Track
Real-Time Recurrent Learning using Trace Units in Reinforcement Learning Esraa Elelimy, Adam White, Michael Bowling, Martha White
Main Conference Track
NaturalBench: Evaluating Vision-Language Models on Natural Adversarial Samples Baiqi Li, Zhiqiu Lin, Wenxuan Peng, Jean de Dieu Nyandwi, Daniel Jiang, Zixian Ma, Simran Khanuja, Ranjay Krishna, Graham Neubig, Deva Ramanan
Datasets and Benchmarks Track
Abstract Reward Processes: Leveraging State Abstraction for Consistent Off-Policy Evaluation Shreyas Chaudhari, Ameet Deshpande, Bruno Castro da Silva, Philip S. Thomas
Main Conference Track
Automating Dataset Updates Towards Reliable and Timely Evaluation of Large Language Models Jiahao Ying, Yixin Cao, Yushi Bai, Qianru Sun, Bo Wang, Wei Tang, Zhaojun Ding, Yizhe Yang, Xuanjing Huang, Shuicheng Yan
Datasets and Benchmarks Track
A Globally Optimal Portfolio for m-Sparse Sharpe Ratio Maximization Yizun Lin, Zhao-Rong Lai, Cheng Li
Main Conference Track
SafeSora: Towards Safety Alignment of Text2Video Generation via a Human Preference Dataset Juntao Dai, Tianle Chen, Xuyao Wang, Ziran Yang, Taiye Chen, Jiaming Ji, Yaodong Yang
Datasets and Benchmarks Track
Supra-Laplacian Encoding for Transformer on Dynamic Graphs Yannis Karmim, Marc Lafon, Raphaël Fournier S'niehotta, Nicolas Thome
Main Conference Track
Enhancing Efficiency of Safe Reinforcement Learning via Sample Manipulation Shangding Gu, Laixi Shi, Yuhao Ding, Alois Knoll, Costas Spanos, Adam Wierman, Ming Jin
Main Conference Track
Incremental Learning of Retrievable Skills For Efficient Continual Task Adaptation Daehee Lee, Minjong Yoo, Woo Kyung Kim, Wonje Choi, Honguk Woo
Main Conference Track
Preference-based Pure Exploration Apurv Shukla, Debabrota Basu
Main Conference Track
Policy Optimization for Robust Average Reward MDPs Zhongchang Sun, Sihong He, Fei Miao, Shaofeng Zou
Main Conference Track
Beyond Euclidean: Dual-Space Representation Learning for Weakly Supervised Video Violence Detection Jiaxu Leng, Zhanjie Wu, Mingpi Tan, Yiran Liu, Ji Gan, Haosheng Chen, Xinbo Gao
Main Conference Track
Learning Discrete Latent Variable Structures with Tensor Rank Conditions Zhengming Chen, Ruichu Cai, Feng Xie, Jie Qiao, Anpeng Wu, Zijian Li, Zhifeng Hao, Kun Zhang
Main Conference Track
The Map Equation Goes Neural: Mapping Network Flows with Graph Neural Networks Christopher Blöcker, Chester Tan, Ingo Scholtes
Main Conference Track
Locating What You Need: Towards Adapting Diffusion Models to OOD Concepts In-the-Wild Jianan Yang, Chenchao Gao, Zhiqing Xiao, Junbo Zhao, Sai Wu, Gang Chen, Haobo Wang
Main Conference Track
ESPACE: Dimensionality Reduction of Activations for Model Compression Charbel Sakr, Brucek Khailany
Main Conference Track
Toxicity Detection for Free Zhanhao Hu, Julien Piet, Geng Zhao, Jiantao Jiao, David Wagner
Main Conference Track
PERIA: Perceive, Reason, Imagine, Act via Holistic Language and Vision Planning for Manipulation Fei Ni, Jianye Hao, Shiguang Wu, Longxin Kou, Yifu Yuan, Zibin Dong, Jinyi Liu, Mingzhi Li, Yuzheng Zhuang, Yan Zheng
Main Conference Track
CLIPAway: Harmonizing focused embeddings for removing objects via diffusion models Yiğit Ekin, Ahmet Burak Yildirim, Erdem Eren Caglar, Aykut Erdem, Erkut Erdem, Aysegul Dundar
Main Conference Track
Banded Square Root Matrix Factorization for Differentially Private Model Training Nikita Kalinin, Christoph Lampert
Main Conference Track
Bayesian-guided Label Mapping for Visual Reprogramming Chengyi Cai, Zesheng Ye, Lei Feng, Jianzhong Qi, Feng Liu
Main Conference Track
Visual Anchors Are Strong Information Aggregators For Multimodal Large Language Model Haogeng Liu, Quanzeng You, Xiaotian Han, Yongfei Liu, Huaibo Huang, Ran He, Hongxia Yang
Main Conference Track
Combining Observational Data and Language for Species Range Estimation Max Hamilton, Christian Lange, Elijah Cole, Alexander Shepard, Samuel Heinrich, Oisin Mac Aodha, Grant Van Horn, Subhransu Maji
Main Conference Track
From an Image to a Scene: Learning to Imagine the World from a Million 360° Videos Matthew Wallingford, Anand Bhattad, Aditya Kusupati, Vivek Ramanujan, Matt Deitke, Sham Kakade, Aniruddha Kembhavi, Roozbeh Mottaghi, Wei-Chiu Ma, Ali Farhadi
Main Conference Track
Multiview Scene Graph Juexiao Zhang, Gao Zhu, Sihang Li, Xinhao Liu, Haorui Song, Xinran Tang, Chen Feng
Main Conference Track
Fixed Confidence Best Arm Identification in the Bayesian Setting Kyoungseok Jang, Junpei Komiyama, Kazutoshi Yamazaki
Main Conference Track
Mars: Situated Inductive Reasoning in an Open-World Environment Xiaojuan Tang, Jiaqi Li, Yitao Liang, Song-chun Zhu, Muhan Zhang, Zilong Zheng
Datasets and Benchmarks Track
Fairness-Aware Estimation of Graphical Models Zhuoping Zhou, Davoud Ataee Tarzanagh, Bojian Hou, Qi Long, Li Shen
Main Conference Track
Addressing Spatial-Temporal Heterogeneity: General Mixed Time Series Analysis via Latent Continuity Recovery and Alignment Jiawei Chen, Chunhui Zhao
Main Conference Track
Recursive PAC-Bayes: A Frequentist Approach to Sequential Prior Updates with No Information Loss Yi-Shan Wu, Yijie Zhang, Badr-Eddine Chérief-Abdellatif, Yevgeny Seldin
Main Conference Track
SUGARCREPE++ Dataset: Vision-Language Model Sensitivity to Semantic and Lexical Alterations Sri Harsha Dumpala, Aman Jaiswal, Chandramouli Sastry, Evangelos Milios, Sageev Oore, Hassan Sajjad
Datasets and Benchmarks Track
Towards Learning Group-Equivariant Features for Domain Adaptive 3D Detection Sangyun Shin, Yuhang He, Madhu Vankadari, Ta-Ying Cheng, Qian Xie, Andrew Markham, Niki Trigoni
Main Conference Track
Beyond Efficiency: Molecular Data Pruning for Enhanced Generalization Dingshuo Chen, Zhixun Li, Yuyan Ni, Guibin Zhang, Ding Wang, Qiang Liu, Shu Wu, Jeffrey Xu Yu, Liang Wang
Main Conference Track
Shopping MMLU: A Massive Multi-Task Online Shopping Benchmark for Large Language Models Yilun Jin, Zheng Li, Chenwei Zhang, Tianyu Cao, Yifan Gao, Pratik Jayarao, Mao Li, Xin Liu, Ritesh Sarkhel, Xianfeng Tang, Haodong Wang, Zhengyang Wang, Wenju Xu, Jingfeng Yang, Qingyu Yin, Xian Li, Priyanka Nigam, Yi Xu, Kai Chen, Qiang Yang, Meng Jiang, Bing Yin
Datasets and Benchmarks Track
FedAvP: Augment Local Data via Shared Policy in Federated Learning Minui Hong, Junhyeog Yun, Insu Jeon, Gunhee Kim
Main Conference Track
The Representation Landscape of Few-Shot Learning and Fine-Tuning in Large Language Models Diego Doimo, Alessandro Serra, Alessio Ansuini, Alberto Cazzaniga
Main Conference Track
Interpret Your Decision: Logical Reasoning Regularization for Generalization in Visual Classification Zhaorui Tan, Xi Yang, Qiufeng Wang, Anh Nguyen, Kaizhu Huang
Main Conference Track
Curriculum Fine-tuning of Vision Foundation Model for Medical Image Classification Under Label Noise Yeonguk Yu, Minhwan Ko, Sungho Shin, Kangmin Kim, Kyoobin Lee
Main Conference Track
Inferring stochastic low-rank recurrent neural networks from neural data Matthijs Pals, A Erdem Sağtekin, Felix Pei, Manuel Gloeckler, Jakob H Macke
Main Conference Track
Cardinality-Aware Set Prediction and Top-$k$ Classification Corinna Cortes, Anqi Mao, Christopher Mohri, Mehryar Mohri, Yutao Zhong
Main Conference Track
In-Context Learning of a Linear Transformer Block: Benefits of the MLP Component and One-Step GD Initialization Ruiqi Zhang, Jingfeng Wu, Peter L. Bartlett
Main Conference Track
Learning 3D Equivariant Implicit Function with Patch-Level Pose-Invariant Representation Xin Hu, Xiaole Tang, Ruixuan Yu, Jian Sun
Main Conference Track
Communication Efficient Distributed Training with Distributed Lion Bo Liu, Lemeng Wu, Lizhang Chen, Kaizhao Liang, Jiaxu Zhu, Chen Liang, Raghuraman Krishnamoorthi, Qiang Liu
Main Conference Track
Fairness and Efficiency in Online Class Matching MohammadTaghi Hajiaghayi, Shayan Chashm Jahan, Mohammad Sharifi, Suho Shin, Max Springer
Main Conference Track
Ad Auctions for LLMs via Retrieval Augmented Generation MohammadTaghi Hajiaghayi, Sébastien Lahaie, Keivan Rezaei, Suho Shin
Main Conference Track
ReVideo: Remake a Video with Motion and Content Control Chong Mou, Mingdeng Cao, Xintao Wang, Zhaoyang Zhang, Ying Shan, Jian Zhang
Main Conference Track
Finding Transformer Circuits With Edge Pruning Adithya Bhaskar, Alexander Wettig, Dan Friedman, Danqi Chen
Main Conference Track
DenseFusion-1M: Merging Vision Experts for Comprehensive Multimodal Perception Xiaotong Li, Fan Zhang, Haiwen Diao, Yueze Wang, Xinlong Wang, Ling-Yu Duan
Datasets and Benchmarks Track
Globally Convergent Variational Inference Declan McNamara, Jackson Loper, Jeffrey Regier
Main Conference Track
Auditing Local Explanations is Hard Robi Bhattacharjee, Ulrike von Luxburg
Main Conference Track
HumanVLA: Towards Vision-Language Directed Object Rearrangement by Physical Humanoid Xinyu Xu, Yizheng Zhang, Yong-Lu Li, Lei Han, Cewu Lu
Main Conference Track
Efficient Reinforcement Learning by Discovering Neural Pathways Samin Yeasar Arnob, Riyasat Ohib, Sergey Plis, Amy Zhang, Alessandro Sordoni, Doina Precup
Main Conference Track
SciFIBench: Benchmarking Large Multimodal Models for Scientific Figure Interpretation Jonathan Roberts, Kai Han, Neil Houlsby, Samuel Albanie
Datasets and Benchmarks Track
MeMo: Meaningful, Modular Controllers via Noise Injection Megan Tjandrasuwita, Jie Xu, Armando Solar-Lezama, Wojciech Matusik
Main Conference Track
FERERO: A Flexible Framework for Preference-Guided Multi-Objective Learning Lisha Chen, AFM Saif, Yanning Shen, Tianyi Chen
Main Conference Track
RGMDT: Return-Gap-Minimizing Decision Tree Extraction in Non-Euclidean Metric Space Jingdi Chen, Hanhan Zhou, Yongsheng Mei, Carlee Joe-Wong, Gina Adam, Nathaniel D. Bastian, Tian Lan
Main Conference Track
WaterMax: breaking the LLM watermark detectability-robustness-quality trade-off Eva Giboulot, Teddy Furon
Main Conference Track
Gene-Gene Relationship Modeling Based on Genetic Evidence for Single-Cell RNA-Seq Data Imputation Daeho Um, Ji Won Yoon, Seong Jin Ahn, Yunha Yeo
Main Conference Track
Suppress Content Shift: Better Diffusion Features via Off-the-Shelf Generation Techniques Benyuan Meng, Qianqian Xu, Zitai Wang, Zhiyong Yang, Xiaochun Cao, Qingming Huang
Main Conference Track
Policy Learning from Tutorial Books via Understanding, Rehearsing and Introspecting Xiong-Hui Chen, Ziyan Wang, Yali Du, Shengyi Jiang, Meng Fang, Yang Yu, Jun Wang
Main Conference Track
Image Reconstruction Via Autoencoding Sequential Deep Image Prior Ismail R. Alkhouri, Shijun Liang, Evan Bell, Qing Qu, Rongrong Wang, Saiprasad Ravishankar
Main Conference Track
Invariant subspaces and PCA in nearly matrix multiplication time Aleksandros Sobczyk, Marko Mladenović, Mathieu Luisier
Main Conference Track
Boosting Graph Pooling with Persistent Homology Chaolong Ying, Xinjian Zhao, Tianshu Yu
Main Conference Track
OpenGaussian: Towards Point-Level 3D Gaussian-based Open Vocabulary Understanding Yanmin Wu, Jiarui Meng, Haijie Li, Chenming Wu, Yahao Shi, Xinhua Cheng, Chen Zhao, Haocheng Feng, Errui Ding, Jingdong Wang, Jian Zhang
Main Conference Track
Proportional Fairness in Non-Centroid Clustering Ioannis Caragiannis, Evi Micha, Nisarg Shah
Main Conference Track
PaGoDA: Progressive Growing of a One-Step Generator from a Low-Resolution Diffusion Teacher Dongjun Kim, Chieh-Hsin Lai, Wei-Hsiang Liao, Yuhta Takida, Naoki Murata, Toshimitsu Uesaka, Yuki Mitsufuji, Stefano Ermon
Main Conference Track
OlympicArena: Benchmarking Multi-discipline Cognitive Reasoning for Superintelligent AI Zhen Huang, Zengzhi Wang, Shijie Xia, Xuefeng Li, Haoyang Zou, Ruijie Xu, Run-Ze Fan, Lyumanshan Ye, Ethan Chern, Yixin Ye, Yikai Zhang, Yuqing Yang, Ting Wu, Binjie Wang, Shichao Sun, Yang Xiao, Yiyuan Li, Fan Zhou, Steffi Chern, Yiwei Qin, Yan Ma, Jiadi Su, Yixiu Liu, Yuxiang Zheng, Shaoting Zhang, Dahua Lin, Yu Qiao, Pengfei Liu
Datasets and Benchmarks Track
Interpretable Concept-Based Memory Reasoning David Debot, Pietro Barbiero, Francesco Giannini, Gabriele Ciravegna, Michelangelo Diligenti, Giuseppe Marra
Main Conference Track
Make-An-Agent: A Generalizable Policy Network Generator with Behavior-Prompted Diffusion Yongyuan Liang, Tingqiang Xu, Kaizhe Hu, Guangqi Jiang, Furong Huang, Huazhe Xu
Main Conference Track
Evaluating the design space of diffusion-based generative models Yuqing Wang, Ye He, Molei Tao
Main Conference Track
SOI: Scaling Down Computational Complexity by Estimating Partial States of the Model Grzegorz Stefański, Paweł Daniluk, Artur Szumaczuk, Jakub Tkaczuk
Main Conference Track
Robust Neural Contextual Bandit against Adversarial Corruptions Yunzhe Qi, Yikun Ban, Arindam Banerjee, Jingrui He
Main Conference Track
An Expectation-Maximization Algorithm for Training Clean Diffusion Models from Corrupted Observations Weimin Bai, Yifei Wang, Wenzheng Chen, He Sun
Main Conference Track
ShareGPT4Video: Improving Video Understanding and Generation with Better Captions Lin Chen, Xilin Wei, Jinsong Li, Xiaoyi Dong, Pan Zhang, Yuhang Zang, Zehui Chen, Haodong Duan, Bin Lin, Zhenyu Tang, Li Yuan, Yu Qiao, Dahua Lin, Feng Zhao, Jiaqi Wang
Datasets and Benchmarks Track
Beyond Slow Signs in High-fidelity Model Extraction Hanna Foerster, Robert Mullins, Ilia Shumailov, Jamie Hayes
Main Conference Track
FUGAL: Feature-fortified Unrestricted Graph Alignment Aditya Bommakanti, Harshith Reddy Vonteri, Konstantinos Skitsas, Sayan Ranu, Davide Mottin, Panagiotis Karras
Main Conference Track
Revisiting Few-Shot Object Detection with Vision-Language Models Anish Madan, Neehar Peri, Shu Kong, Deva Ramanan
Datasets and Benchmarks Track
Progressive Entropic Optimal Transport Solvers Parnian Kassraie, Aram-Alexandre Pooladian, Michal Klein, James Thornton, Jonathan Niles-Weed, Marco Cuturi
Main Conference Track
Optimizing the coalition gain in Online Auctions with Greedy Structured Bandits Dorian Baudry, Hugo Richard, Maria Cherifa, Clément Calauzènes, Vianney Perchet
Main Conference Track
DEFT: Efficient Fine-tuning of Diffusion Models by Learning the Generalised $h$-transform Alexander Denker, Francisco Vargas, Shreyas Padhy, Kieran Didi, Simon Mathis, Vincent Dutordoir, Riccardo Barbano, Emile Mathieu, Urszula Julia Komorowska, Pietro Lio
Main Conference Track
LookHere: Vision Transformers with Directed Attention Generalize and Extrapolate Anthony Fuller, Daniel G. Kyrollos, Yousef Yassin, James R. Green
Main Conference Track
Achieving Near-Optimal Convergence for Distributed Minimax Optimization with Adaptive Stepsizes Yan Huang, Xiang Li, Yipeng Shen, Niao He, Jinming Xu
Main Conference Track
Metacognitive Capabilities of LLMs: An Exploration in Mathematical Problem Solving Aniket Didolkar, Anirudh Goyal, Nan Rosemary Ke, Siyuan Guo, Michal Valko, Timothy Lillicrap, Danilo Rezende, Yoshua Bengio, Michael Mozer, Sanjeev Arora
Main Conference Track
Complete Graphical Criterion for Sequential Covariate Adjustment in Causal Inference Yonghan Jung, Min Woo Park, Sanghack Lee
Main Conference Track
RETR: Multi-View Radar Detection Transformer for Indoor Perception Ryoma Yataka, Adriano Cardace, Pu (Perry) Wang, Petros Boufounos, Ryuhei Takahashi
Main Conference Track
On the Scalability of GNNs for Molecular Graphs Maciej Sypetkowski, Frederik Wenkel, Farimah Poursafaei, Nia Dickson, Karush Suri, Philip Fradkin, Dominique Beaini
Main Conference Track
Improving Viewpoint-Independent Object-Centric Representations through Active Viewpoint Selection Yinxuan Huang, Chengmin Gao, Bin Li, Xiangyang Xue
Main Conference Track
Aggregating Quantitative Relative Judgments: From Social Choice to Ranking Prediction Yixuan Even Xu, Hanrui Zhang, Yu Cheng, Vincent Conitzer
Main Conference Track
Task Me Anything Jieyu Zhang, Weikai Huang, Zixian Ma, Oscar Michel, Dong He, Tanmay Gupta, Wei-Chiu Ma, Ali Farhadi, Aniruddha Kembhavi, Ranjay Krishna
Datasets and Benchmarks Track
Vision Foundation Model Enables Generalizable Object Pose Estimation Kai Chen, Yiyao Ma, Xingyu Lin, Stephen James, Jianshu Zhou, Yun-Hui Liu, Pieter Abbeel, Qi Dou
Main Conference Track
Curvature Clues: Decoding Deep Learning Privacy with Input Loss Curvature Deepak Ravikumar, Efstathia Soufleri, Kaushik Roy
Main Conference Track
Exploring Fixed Point in Image Editing: Theoretical Support and Convergence Optimization Chen Hang, Zhe Ma, Haoming Chen, Xuwei Fang, Weisheng Xie, Faming Fang, Guixu Zhang, Hongbin Wang
Main Conference Track
MambaTalk: Efficient Holistic Gesture Synthesis with Selective State Space Models Zunnan Xu, Yukang Lin, Haonan Han, Sicheng Yang, Ronghui Li, Yachao Zhang, Xiu Li
Main Conference Track
Efficient Streaming Algorithms for Graphlet Sampling Yann Bourreau, Marco Bressan, T-H. Hubert Chan, Qipeng Kuang, Mauro Sozio
Main Conference Track
HumanVid: Demystifying Training Data for Camera-controllable Human Image Animation Zhenzhi Wang, Yixuan Li, Yanhong Zeng, Youqing Fang, Yuwei Guo, Wenran Liu, Jing Tan, Kai Chen, Tianfan Xue, Bo Dai, Dahua Lin
Datasets and Benchmarks Track
Semi-Supervised Sparse Gaussian Classification: Provable Benefits of Unlabeled Data Eyar Azar, Boaz Nadler
Main Conference Track
DropBP: Accelerating Fine-Tuning of Large Language Models by Dropping Backward Propagation Sunghyeon Woo, Baesung Park, Byeongwook Kim, Minjung Jo, Se Jung Kwon, Dongsuk Jeon, Dongsoo Lee
Main Conference Track
Grounding Multimodal Large Language Models in Actions Andrew Szot, Bogdan Mazoure, Harsh Agrawal, Devon Hjelm, Zsolt Kira, Alexander Toshev
Main Conference Track
Optimal Algorithms for Learning Partitions with Faulty Oracles Adela Frances DePavia, Olga Medrano Martín del Campo, Erasmo Tani
Main Conference Track
MemoryFormer : Minimize Transformer Computation by Removing Fully-Connected Layers Ning Ding, Yehui Tang, Haochen Qin, Zhenli Zhou, Chao Xu, Lin Li, Kai Han, Heng Liao, Yunhe Wang
Main Conference Track
LCGen: Mining in Low-Certainty Generation for View-consistent Text-to-3D Zeng Tao, Tong Yang, Junxiong Lin, Xinji Mai, Haoran Wang, Beining Wang, Enyu Zhou, Yan Wang, Wenqiang Zhang
Main Conference Track
Learning and Transferring Sparse Contextual Bigrams with Linear Transformers Yunwei Ren, Zixuan Wang, Jason D. Lee
Main Conference Track
Predictor-Corrector Enhanced Transformers with Exponential Moving Average Coefficient Learning Bei Li, Tong Zheng, Rui Wang, Jiahao Liu, Qingyan Guo, Junliang Guo, Xu Tan, Tong Xiao, Jingbo Zhu, Jingang Wang, Xunliang Cai
Main Conference Track
Public-data Assisted Private Stochastic Optimization: Power and Limitations Enayat Ullah, Michael Menart, Raef Bassily, Cristóbal Guzmán, Raman Arora
Main Conference Track
Globally Q-linear Gauss-Newton Method for Overparameterized Non-convex Matrix Sensing Xixi Jia, Fangchen Feng, Deyu Meng, Defeng Sun
Main Conference Track
Implicit Curriculum in Procgen Made Explicit Zhenxiong Tan, Kaixin Wang, Xinchao Wang
Main Conference Track
Easy Regional Contrastive Learning of Expressive Fashion Representations Daiqing Qi, Handong Zhao, Sheng Li
Main Conference Track
Gradient Methods for Online DR-Submodular Maximization with Stochastic Long-Term Constraints Guanyu Nie, Vaneet Aggarwal, Christopher John Quinn
Main Conference Track
Needle In A Multimodal Haystack Weiyun Wang, Shuibo Zhang, Yiming Ren, Yuchen Duan, Tiantong Li, Shuo Liu, Mengkang Hu, Zhe Chen, Kaipeng Zhang, Lewei Lu, Xizhou Zhu, Ping Luo, Yu Qiao, Jifeng Dai, Wenqi Shao, Wenhai Wang
Datasets and Benchmarks Track
A benchmark for prediction of transcriptomic responses to chemical perturbations across cell types Artur Szałata, Andrew Benz, Robrecht Cannoodt, Mauricio Cortes, Jason Fong, Sunil Kuppasani, Richard Lieberman, Tianyu Liu, Javier A. Mas-Rosario, Rico Meinl, Jalil Nourisa, Jared Tumiel, Tin M. Tunjic, Mengbo Wang, Noah Weber, Hongyu Zhao, Benedict Anchang, Fabian J. Theis, Malte D. Luecken, Daniel B. Burkhardt
Datasets and Benchmarks Track
General Articulated Objects Manipulation in Real Images via Part-Aware Diffusion Process Zhou Fang, Yong-Lu Li, Lixin Yang, Cewu Lu
Main Conference Track
Edit Distance Robust Watermarks via Indexing Pseudorandom Codes Noah Golowich, Ankur Moitra
Main Conference Track
Nesterov acceleration despite very noisy gradients Kanan Gupta, Jonathan W. Siegel, Stephan Wojtowytsch
Main Conference Track
DiffAug: A Diffuse-and-Denoise Augmentation for Training Robust Classifiers Chandramouli S. Sastry, Sri Harsha Dumpala, Sageev Oore
Main Conference Track
Attractor Memory for Long-Term Time Series Forecasting: A Chaos Perspective Jiaxi Hu, Yuehong Hu, Wei Chen, Ming Jin, Shirui Pan, Qingsong Wen, Yuxuan Liang
Main Conference Track
Active Learning with LLMs for Partially Observed and Cost-Aware Scenarios Nicolás Astorga, Tennison Liu, Nabeel Seedat, Mihaela van der Schaar
Main Conference Track
Local Superior Soups: A Catalyst for Model Merging in Cross-Silo Federated Learning Minghui Chen, Meirui Jiang, Xin Zhang, Qi Dou, Zehua Wang, Xiaoxiao Li
Main Conference Track
Boosting the Transferability of Adversarial Attack on Vision Transformer with Adaptive Token Tuning Di Ming, Peng Ren, Yunlong Wang, Xin Feng
Main Conference Track
Maia-2: A Unified Model for Human-AI Alignment in Chess Zhenwei Tang, Difan Jiao, Reid McIlroy-Young, Jon Kleinberg, Siddhartha Sen, Ashton Anderson
Main Conference Track
Derivative-enhanced Deep Operator Network Yuan Qiu, Nolan Bridges, Peng Chen
Main Conference Track
No-Regret Bandit Exploration based on Soft Tree Ensemble Model Shogo Iwazaki, Shinya Suzumura
Main Conference Track
A Unified Debiasing Approach for Vision-Language Models across Modalities and Tasks Hoin Jung, Taeuk Jang, Xiaoqian Wang
Main Conference Track
Bridging semantics and pragmatics in information-theoretic emergent communication Eleonora Gualdoni, Mycal Tucker, Roger P. Levy, Noga Zaslavsky
Main Conference Track
Watermarking Makes Language Models Radioactive Tom Sander, Pierre Fernandez, Alain Durmus, Matthijs Douze, Teddy Furon
Main Conference Track
Approximation-Aware Bayesian Optimization Natalie Maus, Kyurae Kim, Geoff Pleiss, David Eriksson, John P. Cunningham, Jacob R. Gardner
Main Conference Track
Differential Privacy in Scalable General Kernel Learning via $K$-means Nystr{\"o}m Random Features Bonwoo Lee, Jeongyoun Ahn, Cheolwoo Park
Main Conference Track
Taming Generative Diffusion Prior for Universal Blind Image Restoration Siwei Tu, Weidong Yang, Ben Fei
Main Conference Track
Discrete Dictionary-based Decomposition Layer for Structured Representation Learning Taewon Park, Hyun-Chul Kim, Minho Lee
Main Conference Track
ChronoMagic-Bench: A Benchmark for Metamorphic Evaluation of Text-to-Time-lapse Video Generation Shenghai Yuan, Jinfa Huang, Yongqi Xu, Yaoyang Liu, Shaofeng Zhang, Yujun Shi, Ruijie Zhu, Xinhua Cheng, Jiebo Luo, Li Yuan
Datasets and Benchmarks Track
WildGaussians: 3D Gaussian Splatting In the Wild Jonas Kulhanek, Songyou Peng, Zuzana Kukelova, Marc Pollefeys, Torsten Sattler
Main Conference Track
What If the Input is Expanded in OOD Detection? Boxuan Zhang, Jianing Zhu, Zengmao Wang, Tongliang Liu, Bo Du, Bo Han
Main Conference Track
RelBench: A Benchmark for Deep Learning on Relational Databases Joshua Robinson, Rishabh Ranjan, Weihua Hu, Kexin Huang, Jiaqi Han, Alejandro Dobles, Matthias Fey, Jan E. Lenssen, Yiwen Yuan, Zecheng Zhang, Xinwei He, Jure Leskovec
Datasets and Benchmarks Track
PageRank Bandits for Link Prediction Yikun Ban, Jiaru Zou, Zihao Li, Yunzhe Qi, Dongqi Fu, Jian Kang, Hanghang Tong, Jingrui He
Main Conference Track
DreamMesh4D: Video-to-4D Generation with Sparse-Controlled Gaussian-Mesh Hybrid Representation Zhiqi Li, Yiming Chen, Peidong Liu
Main Conference Track
Spatio-Temporal Interactive Learning for Efficient Image Reconstruction of Spiking Cameras Bin Fan, Jiaoyang Yin, Yuchao Dai, Chao Xu, Tiejun Huang, Boxin Shi
Main Conference Track
Acceleration Exists! Optimization Problems When Oracle Can Only Compare Objective Function Values Aleksandr Lobanov, Alexander Gasnikov, Andrei Krasnov
Main Conference Track
Towards the Transferability of Rewards Recovered via Regularized Inverse Reinforcement Learning Andreas Schlaginhaufen, Maryam Kamgarpour
Main Conference Track
OneActor: Consistent Subject Generation via Cluster-Conditioned Guidance Jiahao Wang, Caixia Yan, Haonan Lin, Weizhan Zhang, Mengmeng Wang, Tieliang Gong, Guang Dai, Hao Sun
Main Conference Track
Injecting Undetectable Backdoors in Obfuscated Neural Networks and Language Models Alkis Kalavasis, Amin Karbasi, Argyris Oikonomou, Katerina Sotiraki, Grigoris Velegkas, Manolis Zampetakis
Main Conference Track
Nimbus: Secure and Efficient Two-Party Inference for Transformers Zhengyi Li, Kang Yang, Jin Tan, Wen-jie Lu, Haoqi Wu, Xiao Wang, Yu Yu, Derun Zhao, Yancheng Zheng, Minyi Guo, Jingwen Leng
Main Conference Track
SureMap: Simultaneous mean estimation for single-task and multi-task disaggregated evaluation Mikhail Khodak, Lester Mackey, Alexandra Chouldechova, Miroslav Dudík
Main Conference Track
Is Function Similarity Over-Engineered? Building a Benchmark Rebecca Saul, Chang Liu, Noah Fleischmann, Richard Zak, Kristopher Micinski, Edward Raff, James Holt
Datasets and Benchmarks Track
FUSE: Fast Unified Simulation and Estimation for PDEs Levi E. Lingsch, Dana Grund, Siddhartha Mishra, Georgios Kissas
Main Conference Track
The Collusion of Memory and Nonlinearity in Stochastic Approximation With Constant Stepsize Dongyan Lucy Huo, Yixuan Zhang, Yudong Chen, Qiaomin Xie
Main Conference Track
BetterBench: Assessing AI Benchmarks, Uncovering Issues, and Establishing Best Practices Anka Reuel, Amelia Hardy, Chandler Smith, Max Lamparth, Malcolm Hardy, Mykel J. Kochenderfer
Datasets and Benchmarks Track
Interventionally Consistent Surrogates for Complex Simulation Models Joel Dyer, Nicholas Bishop, Yorgos Felekis, Fabio Massimo Zennaro, Anisoara Calinescu, Theodoros Damoulas, Michael Wooldridge
Main Conference Track
PEACE: A Dataset of Pharmaceutical Care for Cancer Pain Analgesia Evaluation and Medication Decision Yutao Dou, Huimin Yu, Wei Li, Jingyang Li, Fei Xia, Jian Xiao
Datasets and Benchmarks Track
Depth Anything V2 Lihe Yang, Bingyi Kang, Zilong Huang, Zhen Zhao, Xiaogang Xu, Jiashi Feng, Hengshuang Zhao
Main Conference Track
Transferring disentangled representations: bridging the gap between synthetic and real images Jacopo Dapueto, Nicoletta Noceti, Francesca Odone
Main Conference Track
Absorb & Escape: Overcoming Single Model Limitations in Generating Heterogeneous Genomic Sequences Zehui Li, Yuhao Ni, Guoxuan Xia, William Beardall, Akashaditya Das, Guy-Bart Stan, Yiren Zhao
Main Conference Track
Can We Leave Deepfake Data Behind in Training Deepfake Detector? Jikang Cheng, Zhiyuan Yan, Ying Zhang, Yuhao Luo, Zhongyuan Wang, Chen Li
Main Conference Track
RAGChecker: A Fine-grained Framework for Diagnosing Retrieval-Augmented Generation Dongyu Ru, Lin Qiu, Xiangkun Hu, Tianhang Zhang, Peng Shi, Shuaichen Chang, Cheng Jiayang, Cunxiang Wang, Shichao Sun, Huanyu Li, Zizhao Zhang, Binjie Wang, Jiarong Jiang, Tong He, Zhiguo Wang, Pengfei Liu, Yue Zhang, Zheng Zhang
Datasets and Benchmarks Track
UNION: Unsupervised 3D Object Detection using Object Appearance-based Pseudo-Classes Ted Lentsch, Holger Caesar, Dariu M. Gavrila
Main Conference Track
Adaptive Variance Reduction for Stochastic Optimization under Weaker Assumptions Wei Jiang, Sifan Yang, Yibo Wang, Lijun Zhang
Main Conference Track
Kaleidoscope: Learnable Masks for Heterogeneous Multi-agent Reinforcement Learning Xinran Li, Ling Pan, Jun Zhang
Main Conference Track
SeafloorAI: A Large-scale Vision-Language Dataset for Seafloor Geological Survey Kien X. Nguyen, Fengchun Qiao, Arthur Trembanis, Xi Peng
Datasets and Benchmarks Track
Multimodal Task Vectors Enable Many-Shot Multimodal In-Context Learning Brandon Huang, Chancharik Mitra, Assaf Arbelle, Leonid Karlinsky, Trevor Darrell, Roei Herzig
Main Conference Track
Quadratic Quantum Variational Monte Carlo Baiyu Su, Qiang Liu
Main Conference Track
Lorentz-Equivariant Geometric Algebra Transformers for High-Energy Physics Jonas Spinner, Victor Bresó, Pim de Haan, Tilman Plehn, Jesse Thaler, Johann Brehmer
Main Conference Track
Rethinking the Power of Timestamps for Robust Time Series Forecasting: A Global-Local Fusion Perspective Chengsen Wang, Qi Qi, Jingyu Wang, Haifeng Sun, Zirui Zhuang, Jinming Wu, Jianxin Liao
Main Conference Track
Position Coupling: Improving Length Generalization of Arithmetic Transformers Using Task Structure Hanseul Cho, Jaeyoung Cha, Pranjal Awasthi, Srinadh Bhojanapalli, Anupam Gupta, Chulhee Yun
Main Conference Track
Advancing Fine-Grained Classification by Structure and Subject Preserving Augmentation Eyal Michaeli, Ohad Fried
Main Conference Track
RCDN: Towards Robust Camera-Insensitivity Collaborative Perception via Dynamic Feature-based 3D Neural Modeling Tianhang Wang, Fan Lu, Zehan Zheng, Guang Chen, Changjun Jiang
Main Conference Track
TFG: Unified Training-Free Guidance for Diffusion Models Haotian Ye, Haowei Lin, Jiaqi Han, Minkai Xu, Sheng Liu, Yitao Liang, Jianzhu Ma, James Zou, Stefano Ermon
Main Conference Track
Rethinking Weight Decay for Robust Fine-Tuning of Foundation Models Junjiao Tian, Chengyue Huang, Zsolt Kira
Main Conference Track
Is Your HD Map Constructor Reliable under Sensor Corruptions? Xiaoshuai Hao, Mengchuan Wei, Yifan Yang, Haimei Zhao, Hui Zhang, Yi Zhou, Qiang Wang, Weiming Li, Lingdong Kong, Jing Zhang
Datasets and Benchmarks Track
Efficient multi-prompt evaluation of LLMs Felipe Maia Polo, Ronald Xu, Lucas Weber, Mírian Silva, Onkar Bhardwaj, Leshem Choshen, Allysson Flavio Melo de Oliveira, Yuekai Sun, Mikhail Yurochkin
Main Conference Track
FLoRA: Federated Fine-Tuning Large Language Models with Heterogeneous Low-Rank Adaptations Ziyao Wang, Zheyu Shen, Yexiao He, Guoheng Sun, Hongyi Wang, Lingjuan Lyu, Ang Li
Main Conference Track
Learning the Expected Core of Strictly Convex Stochastic Cooperative Games Nam Phuong Tran, The Anh Ta, Shuqing Shi, Debmalya Mandal, Yali Du, Long Tran-Thanh
Main Conference Track
ParallelEdits: Efficient Multi-Aspect Text-Driven Image Editing with Attention Grouping Mingzhen Huang, Jialing Cai, Shan Jia, Vishnu Suresh Lokhande, Siwei Lyu
Main Conference Track
Looks Too Good To Be True: An Information-Theoretic Analysis of Hallucinations in Generative Restoration Models Regev Cohen, Idan Kligvasser, Ehud Rivlin, Daniel Freedman
Main Conference Track
Implicit Optimization Bias of Next-token Prediction in Linear Models Christos Thrampoulidis
Main Conference Track
Not so griddy: Internal representations of RNNs path integrating more than one agent William T. Redman, Francisco Acosta, Santiago Acosta-Mendoza, Nina Miolane
Main Conference Track
Out-Of-Distribution Detection with Diversification (Provably) Haiyun Yao, Zongbo Han, Huazhu Fu, Xi Peng, Qinghua Hu, Changqing Zhang
Main Conference Track
Breaking Determinism: Fuzzy Modeling of Sequential Recommendation Using Discrete State Space Diffusion Model Wenjia Xie, Hao Wang, Luankang Zhang, Rui Zhou, Defu Lian, Enhong Chen
Main Conference Track
QVAE-Mole: The Quantum VAE with Spherical Latent Variable Learning for 3-D Molecule Generation Huanjin Wu, Xinyu Ye, Junchi Yan
Main Conference Track
Sample Complexity Reduction via Policy Difference Estimation in Tabular Reinforcement Learning Adhyyan Narang, Andrew Wagenmaker, Lillian J. Ratliff, Kevin Jamieson
Main Conference Track
Decision Mamba: A Multi-Grained State Space Model with Self-Evolution Regularization for Offline RL Qi Lv, Xiang Deng, Gongwei Chen, Michael Yu Wang, Liqiang Nie
Main Conference Track
Distribution Learning with Valid Outputs Beyond the Worst-Case Nick Rittler, Kamalika Chaudhuri
Main Conference Track
FairQueue: Rethinking Prompt Learning for Fair Text-to-Image Generation Christopher T. H. Teo, Milad Abdollahzadeh, Xinda Ma, Ngai-Man Cheung
Main Conference Track
ConMe: Rethinking Evaluation of Compositional Reasoning for Modern VLMs Irene Huang, Wei Lin, M. Jehanzeb Mirza, Jacob A. Hansen, Sivan Doveh, Victor Ion Butoi, Roei Herzig, Assaf Arbelle, Hilde Kuehne, Trevor Darrell, Chuang Gan, Aude Oliva, Rogerio Feris, Leonid Karlinsky
Datasets and Benchmarks Track
SnapKV: LLM Knows What You are Looking for Before Generation Yuhong Li, Yingbing Huang, Bowen Yang, Bharat Venkitesh, Acyr Locatelli, Hanchen Ye, Tianle Cai, Patrick Lewis, Deming Chen
Main Conference Track
Boosting the Potential of Large Language Models with an Intelligent Information Assistant Yujia Zhou, Zheng Liu, Zhicheng Dou
Main Conference Track
Parallel Backpropagation for Shared-Feature Visualization Alexander Lappe, Anna Bognár, Ghazaleh Ghamkhari Nejad, Albert Mukovskiy, Lucas Martini, Martin A. Giese, Rufin Vogels
Main Conference Track
A two-scale Complexity Measure for Deep Learning Models Massimiliano Datres, Gian Paolo Leonardi, Alessio Figalli, David Sutter
Main Conference Track
Communication-Efficient Federated Group Distributionally Robust Optimization Zhishuai Guo, Tianbao Yang
Main Conference Track
On Differentially Private U Statistics Kamalika Chaudhuri, Po-Ling Loh, Shourya Pandey, Purnamrita Sarkar
Main Conference Track
Sketched Lanczos uncertainty score: a low-memory summary of the Fisher information Marco Miani, Lorenzo Beretta, Søren Hauberg
Main Conference Track
Unified Generative and Discriminative Training for Multi-modal Large Language Models Wei Chow, Juncheng Li, Qifan Yu, Kaihang Pan, Hao Fei, Zhiqi Ge, Shuai Yang, Siliang Tang, Hanwang Zhang, Qianru Sun
Main Conference Track
Why Do We Need Weight Decay in Modern Deep Learning? Francesco D'Angelo, Maksym Andriushchenko, Aditya Varre, Nicolas Flammarion
Main Conference Track
Efficient LLM Jailbreak via Adaptive Dense-to-sparse Constrained Optimization Kai Hu, Weichen Yu, Yining Li, Tianjun Yao, Xiang Li, Wenhe Liu, Lijun Yu, Zhiqiang Shen, Kai Chen, Matt Fredrikson
Main Conference Track
On conditional diffusion models for PDE simulations Aliaksandra Shysheya, Cristiana Diaconu, Federico Bergamin, Paris Perdikaris, José Miguel Hernández-Lobato, Richard E. Turner, Emile Mathieu
Main Conference Track
Detecting Brittle Decisions for Free: Leveraging Margin Consistency in Deep Robust Classifiers Jonas Ngnawé, Sabyasachi Sahoo, Yann Pequignot, Frédéric Precioso, Christian Gagné
Main Conference Track
Generalizing Weather Forecast to Fine-grained Temporal Scales via Physics-AI Hybrid Modeling Wanghan Xu, Fenghua Ling, Wenlong Zhang, Tao Han, Hao Chen, Wanli Ouyang, Lei Bai
Main Conference Track
Cross-Modality Perturbation Synergy Attack for Person Re-identification Yunpeng Gong, Zhun Zhong, Yansong Qu, Zhiming Luo, Rongrong Ji, Min Jiang
Main Conference Track
NeuroBOLT: Resting-state EEG-to-fMRI Synthesis with Multi-dimensional Feature Mapping Yamin Li, Ange Lou, Ziyuan Xu, Shengchao Zhang, Shiyu Wang, Dario J. Englot, Soheil Kolouri, Daniel Moyer, Roza G. Bayrak, Catie Chang
Main Conference Track
Fast Last-Iterate Convergence of Learning in Games Requires Forgetful Algorithms Yang Cai, Gabriele Farina, Julien Grand-Clément, Christian Kroer, Chung-Wei Lee, Haipeng Luo, Weiqiang Zheng
Main Conference Track
Coherent 3D Scene Diffusion From a Single RGB Image Manuel Dahnert, Angela Dai, Norman Müller, Matthias Nießner
Main Conference Track
DeepStack: Deeply Stacking Visual Tokens is Surprisingly Simple and Effective for LMMs Lingchen Meng, Jianwei Yang, Rui Tian, Xiyang Dai, Zuxuan Wu, Jianfeng Gao, Yu-Gang Jiang
Main Conference Track
Neuro-Symbolic Data Generation for Math Reasoning Zenan Li, Zhi Zhou, Yuan Yao, Yu-Feng Li, Chun Cao, Fan Yang, Xian Zhang, Xiaoxing Ma
Main Conference Track
Consistency Diffusion Bridge Models Guande He, Kaiwen Zheng, Jianfei Chen, Fan Bao, Jun Zhu
Main Conference Track
Dense Associative Memory Through the Lens of Random Features Benjamin Hoover, Duen Horng Chau, Hendrik Strobelt, Parikshit Ram, Dmitry Krotov
Main Conference Track
A Simple yet Universal Framework for Depth Completion Jin-Hwi Park, Hae-Gon Jeon
Main Conference Track
Identifying Equivalent Training Dynamics William T. Redman, Juan Bello-Rivas, Maria Fonoberova, Ryan Mohr, Yannis G. Kevrekidis, Igor Mezić
Main Conference Track
DRACO: A Denoising-Reconstruction Autoencoder for Cryo-EM Yingjun Shen, Haizhao Dai, Qihe Chen, Yan Zeng, Jiakai Zhang, Yuan Pei, Jingyi Yu
Main Conference Track
Human-Object Interaction Detection Collaborated with Large Relation-driven Diffusion Models Liulei Li, Wenguan Wang, Yi Yang
Main Conference Track
Ensemble sampling for linear bandits: small ensembles suffice David Janz, Alexander E. Litvak, Csaba Szepesvári
Main Conference Track
A Unifying Post-Processing Framework for Multi-Objective Learn-to-Defer Problems Mohammad-Amin Charusaie, Samira Samadi
Main Conference Track
Cross-Care: Assessing the Healthcare Implications of Pre-training Data on Language Model Bias Shan Chen, Jack Gallifant, Mingye Gao, Pedro Moreira, Nikolaj Munch, Ajay Muthukkumar, Arvind Rajan, Jaya Kolluri, Amelia Fiske, Janna Hastings, Hugo Aerts, Brian Anthony, Leo Anthony Celi, William G. La Cava, Danielle S. Bitterman
Datasets and Benchmarks Track
If You Want to Be Robust, Be Wary of Initialization Sofiane Ennadir, Johannes F. Lutzeyer, Michalis Vazirgiannis, El Houcine Bergou
Main Conference Track
Is Score Matching Suitable for Estimating Point Processes? Haoqun Cao, Zizhuo Meng, Tianjun Ke, Feng Zhou
Main Conference Track
Is Knowledge Power? On the (Im)possibility of Learning from Strategic Interactions Nivasini Ananthakrishnan, Nika Haghtalab, Chara Podimata, Kunhe Yang
Main Conference Track
Data Free Backdoor Attacks Bochuan Cao, Jinyuan Jia, Chuxuan Hu, Wenbo Guo, Zhen Xiang, Jinghui Chen, Bo Li, Dawn Song
Main Conference Track
Vision Model Pre-training on Interleaved Image-Text Data via Latent Compression Learning Chenyu Yang, Xizhou Zhu, Jinguo Zhu, Weijie Su, Junjie Wang, Xuan Dong, Wenhai Wang, Lewei Lu, Bin Li, Jie Zhou, Yu Qiao, Jifeng Dai
Main Conference Track
Linear Causal Bandits: Unknown Graph and Soft Interventions Zirui Yan, Ali Tajer
Main Conference Track
The Implicit Bias of Adam on Separable Data Chenyang Zhang, Difan Zou, Yuan Cao
Main Conference Track
Be like a Goldfish, Don't Memorize! Mitigating Memorization in Generative LLMs Abhimanyu Hans, Yuxin Wen, Neel Jain, John Kirchenbauer, Hamid Kazemi, Prajwal Singhania, Siddharth Singh, Gowthami Somepalli, Jonas Geiping, Abhinav Bhatele, Tom Goldstein
Main Conference Track
SIRIUS : Contexual Sparisty with Correction for Efficient LLMs Yang Zhou, Zhuoming Chen, Zhaozhuo Xu, Xi Victoria Lin, Beidi Chen
Main Conference Track
Diffusion Forcing: Next-token Prediction Meets Full-Sequence Diffusion Boyuan Chen, Diego Martí Monsó, Yilun Du, Max Simchowitz, Russ Tedrake, Vincent Sitzmann
Main Conference Track
MiSO: Optimizing brain stimulation to create neural population activity states Yuki Minai, Joana Soldado-Magraner, Matthew A. Smith, Byron M. Yu
Main Conference Track
Ferrari: Federated Feature Unlearning via Optimizing Feature Sensitivity Hanlin Gu, Win Kent Ong, Chee Seng Chan, Lixin Fan
Main Conference Track
Uncertainty of Thoughts: Uncertainty-Aware Planning Enhances Information Seeking in LLMs Zhiyuan Hu, Chumin Liu, Xidong Feng, Yilun Zhao, See-Kiong Ng, Anh Tuan Luu, Junxian He, Pang Wei Koh, Bryan Hooi
Main Conference Track
Causal Discovery from Event Sequences by Local Cause-Effect Attribution Joscha Cüppers, Sascha Xu, Ahmed Musa, Jilles Vreeken
Main Conference Track
RepLiQA: A Question-Answering Dataset for Benchmarking LLMs on Unseen Reference Content João Monteiro, Pierre-André Noël, Étienne Marcotte, Sai Rajeswar, Valentina Zantedeschi, David Vázquez, Nicolas Chapados, Christopher Pal, Perouz Taslakian
Datasets and Benchmarks Track
Corruption-Robust Linear Bandits: Minimax Optimality and Gap-Dependent Misspecification Haolin Liu, Artin Tajdini, Andrew Wagenmaker, Chen-Yu Wei
Main Conference Track
Structured Matrix Basis for Multivariate Time Series Forecasting with Interpretable Dynamics Xiaodan Chen, Xiucheng Li, Xinyang Chen, Zhijun Li
Main Conference Track
PAC-Bayes-Chernoff bounds for unbounded losses Ioar Casado, Luis A. Ortega, Aritz Pérez, Andrés R. Masegosa
Main Conference Track
Transcoders find interpretable LLM feature circuits Jacob Dunefsky, Philippe Chlenski, Neel Nanda
Main Conference Track
SymILO: A Symmetry-Aware Learning Framework for Integer Linear Optimization Qian Chen, Tianjian Zhang, Linxin Yang, Qingyu Han, Akang Wang, Ruoyu Sun, Xiaodong Luo, Tsung-Hui Chang
Main Conference Track
Bias in Motion: Theoretical Insights into the Dynamics of Bias in SGD Training Anchit Jain, Rozhin Nobahari, Aristide Baratin, Stefano Sarao Mannelli
Main Conference Track
Long-range Brain Graph Transformer Shuo Yu, Shan Jin, Ming Li, Tabinda Sarwar, Feng Xia
Main Conference Track
One-to-Multiple: A Progressive Style Transfer Unsupervised Domain-Adaptive Framework for Kidney Tumor Segmentation Kai Hu, Jinhao Li, Yuan Zhang, Xiongjun Ye, Xieping Gao
Main Conference Track
CLIP in Mirror: Disentangling text from visual images through reflection Tiancheng Wang, Yuguang Yang, Linlin Yang, Shaohui Lin, Juan Zhang, Guodong Guo, Baochang Zhang
Main Conference Track
Grammar-Aligned Decoding Kanghee Park, Jiayu Wang, Taylor Berg-Kirkpatrick, Nadia Polikarpova, Loris D'Antoni
Main Conference Track
Controlled maximal variability along with reliable performance in recurrent neural networks Chiara Mastrogiuseppe, Rubén Moreno-Bote
Main Conference Track
Maximum Entropy Inverse Reinforcement Learning of Diffusion Models with Energy-Based Models Sangwoong Yoon, Himchan Hwang, Dohyun Kwon, Yung-Kyun Noh, Frank C. Park
Main Conference Track
Global Rewards in Restless Multi-Armed Bandits Naveen Raman, Zheyuan Ryan Shi, Fei Fang
Main Conference Track
A Comprehensive Analysis on the Learning Curve in Kernel Ridge Regression Tin Sum Cheng, Aurelien Lucchi, Anastasis Kratsios, David Belius
Main Conference Track
Statistical Efficiency of Distributional Temporal Difference Learning Yang Peng, Liangyu Zhang, Zhihua Zhang
Main Conference Track
Faster Repeated Evasion Attacks in Tree Ensembles Lorenzo Cascioli, Laurens Devos, Ondrej Kuzelka, Jesse Davis
Main Conference Track
DiPEx: Dispersing Prompt Expansion for Class-Agnostic Object Detection Jia Syuen Lim, Zhuoxiao Chen, Mahsa Baktashmotlagh, Zhi Chen, Xin Yu, Zi Huang, Yadan Luo
Main Conference Track
ShiftAddLLM: Accelerating Pretrained LLMs via Post-Training Multiplication-Less Reparameterization Haoran You, Yipin Guo, Yichao Fu, Wei Zhou, Huihong Shi, Xiaofan Zhang, Souvik Kundu, Amir Yazdanbakhsh, Yingyan (Celine) Lin
Main Conference Track
Take A Shortcut Back: Mitigating the Gradient Vanishing for Training Spiking Neural Networks Yufei Guo, Yuanpei Chen, Zecheng Hao, Weihang Peng, Zhou Jie, Yuhan Zhang, Xiaode Liu, Zhe Ma
Main Conference Track
Pedestrian-Centric 3D Pre-collision Pose and Shape Estimation from Dashcam Perspective Meijun Wang, Yu Meng, Zhongwei Qiu, Chao Zheng, Yan Xu, Xiaorui Peng, Jian Gao
Main Conference Track
Aligning Diffusion Models by Optimizing Human Utility Shufan Li, Konstantinos Kallidromitis, Akash Gokul, Yusuke Kato, Kazuki Kozuka
Main Conference Track
BAdam: A Memory Efficient Full Parameter Optimization Method for Large Language Models Qijun Luo, Hengxu Yu, Xiao Li
Main Conference Track
Shaving Weights with Occam's Razor: Bayesian Sparsification for Neural Networks using the Marginal Likelihood Rayen Dhahri, Alexander Immer, Betrand Charpentier, Stephan Günnemann, Vincent Fortuin
Main Conference Track
First-Order Minimax Bilevel Optimization Yifan Yang, Zhaofeng Si, Siwei Lyu, Kaiyi Ji
Main Conference Track
Sample Complexity of Algorithm Selection Using Neural Networks and Its Applications to Branch-and-Cut Hongyu Cheng, Sammy Khalife, Barbara Fiedorowicz, Amitabh Basu
Main Conference Track
LexEval: A Comprehensive Chinese Legal Benchmark for Evaluating Large Language Models Haitao Li, You Chen, Qingyao Ai, Yueyue Wu, Ruizhe Zhang, Yiqun Liu
Datasets and Benchmarks Track
A Simple Image Segmentation Framework via In-Context Examples Yang Liu, Chenchen Jing, Hengtao Li, Muzhi Zhu, Hao Chen, Xinlong Wang, Chunhua Shen
Main Conference Track
Pre-trained Large Language Models Use Fourier Features to Compute Addition Tianyi Zhou, Deqing Fu, Vatsal Sharan, Robin Jia
Main Conference Track
Universal Physics Transformers: A Framework For Efficiently Scaling Neural Operators Benedikt Alkin, Andreas Fürst, Simon Schmid, Lukas Gruber, Markus Holzleitner, Johannes Brandstetter
Main Conference Track
ReMAP: Neural Model Reprogramming with Network Inversion and Retrieval-Augmented Mapping for Adaptive Motion Forecasting Sharmita Dey, Sarath Ravindran Nair
Main Conference Track
Cross-video Identity Correlating for Person Re-identification Pre-training Jialong Zuo, Ying Nie, Hanyu Zhou, Huaxin Zhang, Haoyu Wang, Tianyu Guo, Nong Sang, Changxin Gao
Main Conference Track
Cloud Object Detector Adaptation by Integrating Different Source Knowledge Shuaifeng Li, Mao Ye, Lihua Zhou, Nianxin Li, Siying Xiao, Song Tang, Xiatian Zhu
Main Conference Track
DETAIL: Task DEmonsTration Attribution for Interpretable In-context Learning Zijian Zhou, Xiaoqiang Lin, Xinyi Xu, Alok Prakash, Daniela Rus, Bryan Kian Hsiang Low
Main Conference Track
Mirror and Preconditioned Gradient Descent in Wasserstein Space Clément Bonet, Théo Uscidda, Adam David, Pierre-Cyril Aubin-Frankowski, Anna Korba
Main Conference Track
Retrieval-Retro: Retrieval-based Inorganic Retrosynthesis with Expert Knowledge Heewoong Noh, Namkyeong Lee, Gyoung S. Na, Chanyoung Park
Main Conference Track
Kernel-Based Function Approximation for Average Reward Reinforcement Learning: An Optimist No-Regret Algorithm Sattar Vakili, Julia Olkhovskaya
Main Conference Track
MathPile: A Billion-Token-Scale Pretraining Corpus for Math Zengzhi Wang, Xuefeng Li, Rui Xia, Pengfei Liu
Datasets and Benchmarks Track
Generative Fractional Diffusion Models Gabriel Nobis, Maximilian Springenberg, Marco Aversa, Michael Detzel, Rembert Daems, Roderick Murray-Smith, Shinichi Nakajima, Sebastian Lapuschkin, Stefano Ermon, Tolga Birdal, Manfred Opper, Christoph Knochenhauer, Luis Oala, Wojciech Samek
Main Conference Track
Least Squares Regression Can Exhibit Under-Parameterized Double Descent Xinyue Li, Rishi Sonthalia
Main Conference Track
AWT: Transferring Vision-Language Models via Augmentation, Weighting, and Transportation Yuhan Zhu, Yuyang Ji, Zhiyu Zhao, Gangshan Wu, Limin Wang
Main Conference Track
Decentralized Noncooperative Games with Coupled Decision-Dependent Distributions Wenjing Yan, Xuanyu Cao
Main Conference Track
Geometric Trajectory Diffusion Models Jiaqi Han, Minkai Xu, Aaron Lou, Haotian Ye, Stefano Ermon
Main Conference Track
GoMatching: A Simple Baseline for Video Text Spotting via Long and Short Term Matching Haibin He, Maoyuan Ye, Jing Zhang, Juhua Liu, Bo Du, Dacheng Tao
Main Conference Track
Multi-Scale VMamba: Hierarchy in Hierarchy Visual State Space Model Yuheng Shi, Minjing Dong, Chang Xu
Main Conference Track
AdanCA: Neural Cellular Automata As Adaptors For More Robust Vision Transformer Yitao Xu, Tong Zhang, Sabine Süsstrunk
Main Conference Track
PhyRecon: Physically Plausible Neural Scene Reconstruction Junfeng Ni, Yixin Chen, Bohan Jing, Nan Jiang, Bin Wang, Bo Dai, Puhao Li, Yixin Zhu, Song-Chun Zhu, Siyuan Huang
Main Conference Track
Understanding the Expressive Power and Mechanisms of Transformer for Sequence Modeling Mingze Wang, Weinan E
Main Conference Track
A Combinatorial Algorithm for the Semi-Discrete Optimal Transport Problem Pankaj K. Agarwal, Sharath Raghvendra, Pouyan Shirzadian, Keegan Yao
Main Conference Track
Archaeoscape: Bringing Aerial Laser Scanning Archaeology to the Deep Learning Era Yohann Perron, Vladyslav Sydorov, Adam P. Wijker, Damian Evans, Christophe Pottier, Loic Landrieu
Datasets and Benchmarks Track
Learning 1D Causal Visual Representation with De-focus Attention Networks Chenxin Tao, Xizhou Zhu, Shiqian Su, Lewei Lu, Changyao Tian, Xuan Luo, Gao Huang, Hongsheng Li, Yu Qiao, Jie Zhou, Jifeng Dai
Main Conference Track
Nonlinear dynamics of localization in neural receptive fields Leon Lufkin, Andrew Saxe, Erin Grant
Main Conference Track
Learning-Augmented Approximation Algorithms for Maximum Cut and Related Problems Vincent Cohen-Addad, Tommaso d'Orsi, Anupam Gupta, Euiwoong Lee, Debmalya Panigrahi
Main Conference Track
AvaTaR: Optimizing LLM Agents for Tool Usage via Contrastive Reasoning Shirley Wu, Shiyu Zhao, Qian Huang, Kexin Huang, Michihiro Yasunaga, Kaidi Cao, Vassilis N. Ioannidis, Karthik Subbian, Jure Leskovec, James Zou
Main Conference Track
Score Distillation via Reparametrized DDIM Artem Lukoianov, Haitz Sáez de Ocáriz Borde, Kristjan Greenewald, Vitor Campagnolo Guizilini, Timur Bagautdinov, Vincent Sitzmann, Justin Solomon
Main Conference Track
UltraMedical: Building Specialized Generalists in Biomedicine Kaiyan Zhang, Sihang Zeng, Ermo Hua, Ning Ding, Zhang-Ren Chen, Zhiyuan Ma, Haoxin Li, Ganqu Cui, Biqing Qi, Xuekai Zhu, Xingtai Lv, Jin-Fang Hu, Zhiyuan Liu, Bowen Zhou
Datasets and Benchmarks Track
Smoke and Mirrors in Causal Downstream Tasks Riccardo Cadei, Lukas Lindorfer, Sylvia Cremer, Cordelia Schmid, Francesco Locatello
Main Conference Track
Newton Losses: Using Curvature Information for Learning with Differentiable Algorithms Felix Petersen, Christian Borgelt, Tobias Sutter, Hilde Kuehne, Oliver Deussen, Stefano Ermon
Main Conference Track
Capturing the denoising effect of PCA via compression ratio Chandra Sekhar Mukherjee, Nikhil Deorkar, Jiapeng Zhang
Main Conference Track
Automated Multi-level Preference for MLLMs Mengxi Zhang, Wenhao Wu, Yu Lu, Yuxin Song, Kang Rong, Huanjin Yao, Jianbo Zhao, Fanglong Liu, Haocheng Feng, Jingdong Wang, Yifan Sun
Main Conference Track
What Matters in Graph Class Incremental Learning? An Information Preservation Perspective Jialu Li, Yu Wang, Pengfei Zhu, Wanyu Lin, Qinghua Hu
Main Conference Track
LINGOLY: A Benchmark of Olympiad-Level Linguistic Reasoning Puzzles in Low Resource and Extinct Languages Andrew Bean, Simi Hellsten, Harry Mayne, Jabez Magomere, Ethan A. Chi, Ryan Chi, Scott A. Hale, Hannah Rose Kirk
Datasets and Benchmarks Track
Are High-Degree Representations Really Unnecessary in Equivariant Graph Neural Networks? Jiacheng Cen, Anyi Li, Ning Lin, Yuxiang Ren, Zihe Wang, Wenbing Huang
Main Conference Track
Improving Decision Sparsity Yiyang Sun, Tong Wang, Cynthia Rudin
Main Conference Track
Cluster-Learngene: Inheriting Adaptive Clusters for Vision Transformers Qiufeng Wang, Xu Yang, Fu Feng, Jing Wang, Xin Geng
Main Conference Track
Multi-Instance Partial-Label Learning with Margin Adjustment Wei Tang, Yin-Fang Yang, Zhaofei Wang, Weijia Zhang, Min-Ling Zhang
Main Conference Track
Geometric Exploitation for Indoor Panoramic Semantic Segmentation Duc Cao Dinh, Seok Joon Kim, Kyusung Cho
Main Conference Track
Unified Gradient-Based Machine Unlearning with Remain Geometry Enhancement Zhehao Huang, Xinwen Cheng, JingHao Zheng, Haoran Wang, Zhengbao He, Tao Li, Xiaolin Huang
Main Conference Track
ReactZyme: A Benchmark for Enzyme-Reaction Prediction Chenqing Hua, Bozitao Zhong, Sitao Luan, Liang Hong, Guy Wolf, Doina Precup, Shuangjia Zheng
Datasets and Benchmarks Track
Policy Mirror Descent with Lookahead Kimon Protopapas, Anas Barakat
Main Conference Track
Generalization of Hamiltonian algorithms Andreas Maurer
Main Conference Track
Stochastic Optimization Algorithms for Instrumental Variable Regression with Streaming Data Xuxing Chen, Abhishek Roy, Yifan Hu, Krishnakumar Balasubramanian
Main Conference Track
Constrained Diffusion Models via Dual Training Shervin Khalafi, Dongsheng Ding, Alejandro Ribeiro
Main Conference Track
Better by default: Strong pre-tuned MLPs and boosted trees on tabular data David Holzmüller, Léo Grinsztajn, Ingo Steinwart
Main Conference Track
DAPE: Data-Adaptive Positional Encoding for Length Extrapolation Chuanyang Zheng, Yihang Gao, Han Shi, Minbin Huang, Jingyao Li, Jing Xiong, Xiaozhe Ren, Michael Ng, Xin Jiang, Zhenguo Li, Yu Li
Main Conference Track
LLM-ESR: Large Language Models Enhancement for Long-tailed Sequential Recommendation Qidong Liu, Xian Wu, Yejing Wang, Zijian Zhang, Feng Tian, Yefeng Zheng, Xiangyu Zhao
Main Conference Track
Achieving Tractable Minimax Optimal Regret in Average Reward MDPs Victor Boone, Zihan Zhang
Main Conference Track
Universality of AdaGrad Stepsizes for Stochastic Optimization: Inexact Oracle, Acceleration and Variance Reduction Anton Rodomanov, Xiaowen Jiang, Sebastian Stich
Main Conference Track
When LLM Meets DRL: Advancing Jailbreaking Efficiency via DRL-guided Search Xuan Chen, Yuzhou Nie, Wenbo Guo, Xiangyu Zhang
Main Conference Track
Diffusion-based Layer-wise Semantic Reconstruction for Unsupervised Out-of-Distribution Detection Ying Yang, De Cheng, Chaowei Fang, Yubiao Wang, Changzhe Jiao, Lechao Cheng, Nannan Wang, Xinbo Gao
Main Conference Track
Fast samplers for Inverse Problems in Iterative Refinement models Kushagra Pandey, Ruihan Yang, Stephan Mandt
Main Conference Track
Advancing Spiking Neural Networks for Sequential Modeling with Central Pattern Generators Changze Lv, Dongqi Han, Yansen Wang, Xiaoqing Zheng, Xuanjing Huang, Dongsheng Li
Main Conference Track
Evaluating the World Model Implicit in a Generative Model Keyon Vafa, Justin Y. Chen, Ashesh Rambachan, Jon Kleinberg, Sendhil Mullainathan
Main Conference Track
Contextual Linear Optimization with Bandit Feedback Yichun Hu, Nathan Kallus, Xiaojie Mao, Yanchen Wu
Main Conference Track
A Surprisingly Simple Approach to Generalized Few-Shot Semantic Segmentation Tomoya Sakai, Haoxiang Qiu, Takayuki Katsuki, Daiki Kimura, Takayuki Osogami, Tadanobu Inoue
Main Conference Track
Towards Open Respiratory Acoustic Foundation Models: Pretraining and Benchmarking Yuwei Zhang, Tong Xia, Jing Han, Yu Yvonne Wu, Georgios Rizos, Yang Liu, Mohammed Mosuily, Jagmohan Chauhan, Cecilia Mascolo
Datasets and Benchmarks Track
Are We on the Right Way for Evaluating Large Vision-Language Models? Lin Chen, Jinsong Li, Xiaoyi Dong, Pan Zhang, Yuhang Zang, Zehui Chen, Haodong Duan, Jiaqi Wang, Yu Qiao, Dahua Lin, Feng Zhao
Main Conference Track
On the Benefits of Public Representations for Private Transfer Learning under Distribution Shift Pratiksha Thaker, Amrith Setlur, Zhiwei Steven Wu, Virginia Smith
Main Conference Track
Reparameterized Multi-Resolution Convolutions for Long Sequence Modelling Harry Jake Cunningham, Giorgio Giannone, Mingtian Zhang, Marc Peter Deisenroth
Main Conference Track
Streaming Bayes GFlowNets Tiago da Silva, Daniel Augusto de Souza, Diego Mesquita
Main Conference Track
Inverse Factorized Soft Q-Learning for Cooperative Multi-agent Imitation Learning The Viet Bui, Tien Mai, Thanh Hong Nguyen
Main Conference Track
Learning from Pattern Completion: Self-supervised Controllable Generation Zhiqiang Chen, Guofan Fan, Jinying Gao, Lei Ma, Bo Lei, Tiejun Huang, Shan Yu
Main Conference Track
4DBInfer: A 4D Benchmarking Toolbox for Graph-Centric Predictive Modeling on RDBs Minjie Wang, Quan Gan, David Wipf, Zhenkun Cai, Ning Li, Jianheng Tang, Yanlin Zhang, Zizhao Zhang, Zunyao Mao, Yakun Song, Yanbo Wang, Jiahang Li, Han Zhang, Guang Yang, Xiao Qin, Chuan Lei, Muhan Zhang, Weinan Zhang, Christos Faloutsos, Zheng Zhang
Datasets and Benchmarks Track
Diffeomorphic interpolation for efficient persistence-based topological optimization Mathieu Carrière, Marc Theveneau, Théo Lacombe
Main Conference Track
A theoretical case-study of Scalable Oversight in Hierarchical Reinforcement Learning Tom Yan, Zachary Lipton
Main Conference Track
Exploring Low-Dimensional Subspace in Diffusion Models for Controllable Image Editing Siyi Chen, Huijie Zhang, Minzhe Guo, Yifu Lu, Peng Wang, Qing Qu
Main Conference Track
Efficiency for Free: Ideal Data Are Transportable Representations Peng Sun, Yi Jiang, Tao Lin
Main Conference Track
Text2NKG: Fine-Grained N-ary Relation Extraction for N-ary relational Knowledge Graph Construction Haoran Luo, Haihong E, Yuhao Yang, Tianyu Yao, Yikai Guo, Zichen Tang, Wentai Zhang, Shiyao Peng, Kaiyang Wan, Meina Song, Wei Lin, Yifan Zhu, Luu Anh Tuan
Main Conference Track
MambaLLIE: Implicit Retinex-Aware Low Light Enhancement with Global-then-Local State Space Jiangwei Weng, Zhiqiang Yan, Ying Tai, Jianjun Qian, Jian Yang, Jun Li
Main Conference Track
On Softmax Direct Preference Optimization for Recommendation Yuxin Chen, Junfei Tan, An Zhang, Zhengyi Yang, Leheng Sheng, Enzhi Zhang, Xiang Wang, Tat-Seng Chua
Main Conference Track
First-Explore, then Exploit: Meta-Learning to Solve Hard Exploration-Exploitation Trade-Offs Ben Norman, Jeff Clune
Main Conference Track
GenRL: Multimodal-foundation world models for generalization in embodied agents Pietro Mazzaglia, Tim Verbelen, Bart Dhoedt, Aaron Courville, Sai Rajeswar
Main Conference Track
Quantifying and Optimizing Global Faithfulness in Persona-driven Role-playing Letian Peng, Jingbo Shang
Main Conference Track
Learning Truncated Causal History Model for Video Restoration Amirhosein Ghasemabadi, Muhammad Kamran Janjua, Mohammad Salameh, Di Niu
Main Conference Track
UDPM: Upsampling Diffusion Probabilistic Models Shady Abu-Hussein, Raja Giryes
Main Conference Track
Rethinking Inverse Reinforcement Learning: from Data Alignment to Task Alignment Weichao Zhou, Wenchao Li
Main Conference Track
AlphaMath Almost Zero: Process Supervision without Process Guoxin Chen, Minpeng Liao, Chengxi Li, Kai Fan
Main Conference Track
Optimal deep learning of holomorphic operators between Banach spaces Ben Adcock, Nick Dexter, Sebastian Moraga
Main Conference Track
Multi-Agent Imitation Learning: Value is Easy, Regret is Hard Jingwu Tang, Gokul Swamy, Fei Fang, Zhiwei Steven Wu
Main Conference Track
Constrained Adaptive Attack: Effective Adversarial Attack Against Deep Neural Networks for Tabular Data Thibault Simonetto, Salah Ghamizi, Maxime Cordy
Main Conference Track
How Far Can Transformers Reason? The Globality Barrier and Inductive Scratchpad Emmanuel Abbe, Samy Bengio, Aryo Lotfi, Colin Sandon, Omid Saremi
Main Conference Track
FineCLIP: Self-distilled Region-based CLIP for Better Fine-grained Understanding Dong Jing, Xiaolong He, Yutian Luo, Nanyi Fei, Guoxing Yang, Wei Wei, Huiwen Zhao, Zhiwu Lu
Main Conference Track
Generative Forests Richard Nock, Mathieu Guillame-Bert
Main Conference Track
Scalable DBSCAN with Random Projections HaoChuan Xu, Ninh Pham
Main Conference Track
Near-Optimal Distributed Minimax Optimization under the Second-Order Similarity Qihao Zhou, Haishan Ye, Luo Luo
Main Conference Track
M$^3$GPT: An Advanced Multimodal, Multitask Framework for Motion Comprehension and Generation Mingshuang Luo, Ruibing Hou, Zhuo Li, Hong Chang, Zimo Liu, Yaowei Wang, Shiguang Shan
Main Conference Track
From Transparent to Opaque: Rethinking Neural Implicit Surfaces with $\alpha$-NeuS Haoran Zhang, Junkai Deng, Xuhui Chen, Fei Hou, Wencheng Wang, Hong Qin, Chen Qian, Ying He
Main Conference Track
Test Where Decisions Matter: Importance-driven Testing for Deep Reinforcement Learning Stefan Pranger, Hana Chockler, Martin Tappler, Bettina Könighofer
Main Conference Track
Don't Look Twice: Faster Video Transformers with Run-Length Tokenization Rohan Choudhury, Guanglei Zhu, Sihan Liu, Koichiro Niinuma, Kris M. Kitani, László A. Jeni
Main Conference Track
Value-Based Deep Multi-Agent Reinforcement Learning with Dynamic Sparse Training Pihe Hu, Shaolong Li, Zhuoran Li, Ling Pan, Longbo Huang
Main Conference Track
Rethinking Memory and Communication Costs for Efficient Data Parallel Training of Large Language Models Hanxiao Zhang, Lin Ju, Chan Wu, Jinjing Huang, Youshao Xiao, Zhenglei Zhou, Zhiming Fan, Zhaoxin Huan, Siyuan Li, Fanzhuang Meng, Lei Liang, Xiaolu Zhang, Jun Zhou
Main Conference Track
GTBench: Uncovering the Strategic Reasoning Capabilities of LLMs via Game-Theoretic Evaluations Jinhao Duan, Renming Zhang, James Diffenderfer, Bhavya Kailkhura, Lichao Sun, Elias Stengel-Eskin, Mohit Bansal, Tianlong Chen, Kaidi Xu
Main Conference Track
DMNet: Self-comparison Driven Model for Subject-independent Seizure Detection Shihao Tu, Linfeng Cao, Daoze Zhang, Junru Chen, Lvbin Ma, Yin Zhang, Yang Yang
Main Conference Track
OmniTokenizer: A Joint Image-Video Tokenizer for Visual Generation Junke Wang, Yi Jiang, Zehuan Yuan, Binyue Peng, Zuxuan Wu, Yu-Gang Jiang
Main Conference Track
Perplexity-aware Correction for Robust Alignment with Noisy Preferences Keyi Kong, Xilie Xu, Di Wang, Jingfeng Zhang, Mohan Kankanhalli
Main Conference Track
The Empirical Impact of Neural Parameter Symmetries, or Lack Thereof Derek Lim, Theo (Moe) Putterman, Robin Walters, Haggai Maron, Stefanie Jegelka
Main Conference Track
Probabilistic Graph Rewiring via Virtual Nodes Chendi Qian, Andrei Manolache, Christopher Morris, Mathias Niepert
Main Conference Track
FuseFL: One-Shot Federated Learning through the Lens of Causality with Progressive Model Fusion Zhenheng Tang, Yonggang Zhang, Peijie Dong, Yiu-ming Cheung, Amelie Chi Zhou, Bo Han, Xiaowen Chu
Main Conference Track
RL-GPT: Integrating Reinforcement Learning and Code-as-policy Shaoteng Liu, Haoqi Yuan, Minda Hu, Yanwei Li, Yukang Chen, Shu Liu, Zongqing Lu, Jiaya Jia
Main Conference Track
A Layer-Wise Natural Gradient Optimizer for Training Deep Neural Networks Xiaolei Liu, Shaoshuai Li, Kaixin Gao, Binfeng Wang
Main Conference Track
Multi-Chain Graphs of Graphs: A New Approach to Analyzing Blockchain Datasets Bingqiao Luo, Zhen Zhang, Qian Wang, Bingsheng He
Datasets and Benchmarks Track
Toward Robust Incomplete Multimodal Sentiment Analysis via Hierarchical Representation Learning Mingcheng Li, Dingkang Yang, Yang Liu, Shunli Wang, Jiawei Chen, Shuaibing Wang, Jinjie Wei, Yue Jiang, Qingyao Xu, Xiaolu Hou, Mingyang Sun, Ziyun Qian, Dongliang Kou, Lihua Zhang
Main Conference Track
Statistical Estimation in the Spiked Tensor Model via the Quantum Approximate Optimization Algorithm Leo Zhou, Joao Basso, Song Mei
Main Conference Track
MoEUT: Mixture-of-Experts Universal Transformers Róbert Csordás, Kazuki Irie, Jürgen Schmidhuber, Christopher Potts, Christopher D. Manning
Main Conference Track
Visual Perception by Large Language Model’s Weights Feipeng Ma, Hongwei Xue, Yizhou Zhou, Guangting Wang, Fengyun Rao, Shilin Yan, Yueyi Zhang, Siying Wu, Mike Zheng Shou, Xiaoyan Sun
Main Conference Track
Stabilize the Latent Space for Image Autoregressive Modeling: A Unified Perspective Yongxin Zhu, Bocheng Li, Hang Zhang, Xin Li, Linli Xu, Lidong Bing
Main Conference Track
ReXTime: A Benchmark Suite for Reasoning-Across-Time in Videos Jr-Jen Chen, Yu-Chien Liao, Hsi-Che Lin, Yu-Chu Yu, Yen-Chun Chen, Yu-Chiang Frank Wang
Datasets and Benchmarks Track
$C^2M^3$: Cycle-Consistent Multi-Model Merging Donato Crisostomi, Marco Fumero, Daniele Baieri, Florian Bernard, Emanuele Rodolà
Main Conference Track
NAVSIM: Data-Driven Non-Reactive Autonomous Vehicle Simulation and Benchmarking Daniel Dauner, Marcel Hallgarten, Tianyu Li, Xinshuo Weng, Zhiyu Huang, Zetong Yang, Hongyang Li, Igor Gilitschenski, Boris Ivanovic, Marco Pavone, Andreas Geiger, Kashyap Chitta
Datasets and Benchmarks Track
LaKD: Length-agnostic Knowledge Distillation for Trajectory Prediction with Any Length Observations Yuhang Li, Changsheng Li, Ruilin Lv, Rongqing Li, Ye Yuan, Guoren Wang
Main Conference Track
Stochastic Optimal Control for Diffusion Bridges in Function Spaces Byoungwoo Park, Jungwon Choi, Sungbin Lim, Juho Lee
Main Conference Track
Enhancing LLM Reasoning via Vision-Augmented Prompting Ziyang Xiao, Dongxiang Zhang, Xiongwei Han, Xiaojin Fu, Wing Yin Yu, Tao Zhong, Sai Wu, Yuan Wang, Jianwei Yin, Gang Chen
Main Conference Track
MLLM-CompBench: A Comparative Reasoning Benchmark for Multimodal LLMs Jihyung Kil, Zheda Mai, Justin Lee, Arpita Chowdhury, Zihe Wang, Kerrie Cheng, Lemeng Wang, Ye Liu, Wei-Lun Chao
Datasets and Benchmarks Track
LongVideoBench: A Benchmark for Long-context Interleaved Video-Language Understanding Haoning Wu, Dongxu Li, Bei Chen, Junnan Li
Datasets and Benchmarks Track
MediQ: Question-Asking LLMs and a Benchmark for Reliable Interactive Clinical Reasoning Shuyue Stella Li, Vidhisha Balachandran, Shangbin Feng, Jonathan S. Ilgen, Emma Pierson, Pang Wei Koh, Yulia Tsvetkov
Main Conference Track
QUEST: Quadruple Multimodal Contrastive Learning with Constraints and Self-Penalization Qi Song, Tianxiang Gong, Shiqi Gao, Haoyi Zhou, Jianxin Li
Main Conference Track
AV-GS: Learning Material and Geometry Aware Priors for Novel View Acoustic Synthesis Swapnil Bhosale, Haosen Yang, Diptesh Kanojia, Jiankang Deng, Xiatian Zhu
Main Conference Track
Multi-LLM Debate: Framework, Principals, and Interventions Andrew Estornell, Yang Liu
Main Conference Track
MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts Rachel S.Y. Teo, Tan M. Nguyen
Main Conference Track
Addressing Asynchronicity in Clinical Multimodal Fusion via Individualized Chest X-ray Generation Wenfang Yao, Chen Liu, Kejing Yin, William K. Cheung, Jing Qin
Main Conference Track
Not All Tokens Are What You Need for Pretraining Zhenghao Lin, Zhibin Gou, Yeyun Gong, Xiao Liu, Yelong Shen, Ruochen Xu, Chen Lin, Yujiu Yang, Jian Jiao, Nan Duan, Weizhu Chen
Main Conference Track
A2PO: Towards Effective Offline Reinforcement Learning from an Advantage-aware Perspective Yunpeng Qing, Shunyu Liu, Jingyuan Cong, Kaixuan Chen, Yihe Zhou, Mingli Song
Main Conference Track
LAVIB: A Large-scale Video Interpolation Benchmark Alexandros Stergiou
Datasets and Benchmarks Track
Chain of Thoughtlessness? An Analysis of CoT in Planning Kaya Stechly, Karthik Valmeekam, Subbarao Kambhampati
Main Conference Track
Face2QR: A Unified Framework for Aesthetic, Face-Preserving, and Scannable QR Code Generation Xuehao Cui, Guangyang Wu, Zhenghao Gan, Guangtao Zhai, Xiaohong Liu
Main Conference Track
A Critical Evaluation of AI Feedback for Aligning Large Language Models Archit Sharma, Sedrick Keh, Eric Mitchell, Chelsea Finn, Kushal Arora, Thomas Kollar
Main Conference Track
MSPE: Multi-Scale Patch Embedding Prompts Vision Transformers to Any Resolution Wenzhuo Liu, Fei Zhu, Shijie Ma, Cheng-Lin Liu
Main Conference Track
Global Convergence in Training Large-Scale Transformers Cheng Gao, Yuan Cao, Zihao Li, Yihan He, Mengdi Wang, Han Liu, Jason M. Klusowski, Jianqing Fan
Main Conference Track
Constrained Sampling with Primal-Dual Langevin Monte Carlo Luiz F. O. Chamon, Mohammad Reza Karimi, Anna Korba
Main Conference Track
Scalable Neural Network Verification with Branch-and-bound Inferred Cutting Planes Duo Zhou, Christopher Brix, Grani A Hanasusanto, Huan Zhang
Main Conference Track
MoLE: Enhancing Human-centric Text-to-image Diffusion via Mixture of Low-rank Experts Jie Zhu, Yixiong Chen, Mingyu Ding, Ping Luo, Leye Wang, Jingdong Wang
Main Conference Track
DF40: Toward Next-Generation Deepfake Detection Zhiyuan Yan, Taiping Yao, Shen Chen, Yandan Zhao, Xinghe Fu, Junwei Zhu, Donghao Luo, Chengjie Wang, Shouhong Ding, Yunsheng Wu, Li Yuan
Datasets and Benchmarks Track
Hamiltonian Monte Carlo Inference of Marginalized Linear Mixed-Effects Models Jinlin Lai, Justin Domke, Daniel Sheldon
Main Conference Track
C-GAIL: Stabilizing Generative Adversarial Imitation Learning with Control Theory Tianjiao Luo, Tim Pearce, Huayu Chen, Jianfei Chen, Jun Zhu
Main Conference Track
VideoTetris: Towards Compositional Text-to-Video Generation Ye Tian, Ling Yang, Haotian Yang, Yuan Gao, Yufan Deng, Jingmin Chen, Xintao Wang, Zhaochen Yu, Xin Tao, Pengfei Wan, Di Zhang, Bin Cui
Main Conference Track
Kermut: Composite kernel regression for protein variant effects Peter Mørch Groth, Mads Herbert Kerrn, Lars Olsen, Jesper Salomon, Wouter Boomsma
Main Conference Track
Self-Taught Recognizer: Toward Unsupervised Adaptation for Speech Foundation Models Yuchen Hu, Chen Chen, Chao-Han Huck Yang, Chengwei Qin, Pin-Yu Chen, Eng Siong Chng, Chao Zhang
Main Conference Track
HOPE: Shape Matching Via Aligning Different K-hop Neighbourhoods Barakeel Fanseu Kamhoua, Huamin Qu
Main Conference Track
SubgDiff: A Subgraph Diffusion Model to Improve Molecular Representation Learning Jiying Zhang, Zijing Liu, Yu Wang, Bin Feng, Yu Li
Main Conference Track
Non-parametric classification via expand-and-sparsify representation Kaushik Sinha
Main Conference Track
Adversarially Robust Decision Transformer Xiaohang Tang, Afonso Marques, Parameswaran Kamalaruban, Ilija Bogunovic
Main Conference Track
Protecting Your LLMs with Information Bottleneck Zichuan Liu, Zefan Wang, Linjie Xu, Jinyu Wang, Lei Song, Tianchun Wang, Chunlin Chen, Wei Cheng, Jiang Bian
Main Conference Track
ActAnywhere: Subject-Aware Video Background Generation Boxiao Pan, Zhan Xu, Chun-Hao Paul Huang, Krishna Kumar Singh, Yang Zhou, Leonidas J. Guibas, Jimei Yang
Main Conference Track
Time-Reversal Provides Unsupervised Feedback to LLMs Varun Yerram, Rahul Madhavan, Sravanti Addepalli, Arun Suggala, Karthikeyan Shanmugam, Prateek Jain
Main Conference Track
UQE: A Query Engine for Unstructured Databases Hanjun Dai, Bethany Yixin Wang, Xingchen Wan, Bo Dai, Sherry Yang, Azade Nova, Pengcheng Yin, Phitchaya Mangpo Phothilimthana, Charles Sutton, Dale Schuurmans
Main Conference Track
Tactile DreamFusion: Exploiting Tactile Sensing for 3D Generation Ruihan Gao, Kangle Deng, Gengshan Yang, Wenzhen Yuan, Jun-Yan Zhu
Main Conference Track
Hints-In-Browser: Benchmarking Language Models for Programming Feedback Generation Nachiket Kotalwar, Alkis Gotovos, Adish Singla
Datasets and Benchmarks Track
Model Fusion through Bayesian Optimization in Language Model Fine-Tuning Chaeyun Jang, Hyungi Lee, Jungtaek Kim, Juho Lee
Main Conference Track
Mind the Graph When Balancing Data for Fairness or Robustness Jessica Schrouff, Alexis Bellot, Amal Rannen-Triki, Alan Malek, Isabela Albuquerque, Arthur Gretton, Alexander D'Amour, Silvia Chiappa
Main Conference Track
RAGraph: A General Retrieval-Augmented Graph Learning Framework Xinke Jiang, Rihong Qiu, Yongxin Xu, Wentao Zhang, Yichen Zhu, Ruizhe Zhang, Yuchen Fang, Xu Chu, Junfeng Zhao, Yasha Wang
Main Conference Track
On Giant's Shoulders: Effortless Weak to Strong by Dynamic Logits Fusion Chenghao Fan, Zhenyi Lu, Wei Wei, Jie Tian, Xiaoye Qu, Dangyang Chen, Yu Cheng
Main Conference Track
Measuring Dejavu Memorization Efficiently Narine Kokhlikyan, Bargav Jayaraman, Florian Bordes, Chuan Guo, Kamalika Chaudhuri
Main Conference Track
Weight for Robustness: A Comprehensive Approach towards Optimal Fault-Tolerant Asynchronous ML Tehila Dahan, Kfir Y. Levy
Main Conference Track
Re-assembling the past: The RePAIR dataset and benchmark for real world 2D and 3D puzzle solving Theodore Tsesmelis, Luca Palmieri, Marina Khoroshiltseva, Adeela Islam, Gur Elkin, Ofir Itzhak Shahar, Gianluca Scarpellini, Stefano Fiorini, Yaniv Ohayon, Nadav Alali, Sinem Aslan, Pietro Morerio, Sebastiano Vascon, Elena Gravina, Maria Cristina Napolitano, Giuseppe Scarpati, Gabriel Zuchtriegel, Alexandra Spühler, Michel E. Fuchs, Stuart James, Ohad Ben-Shahar, Marcello Pelillo, Alessio Del Bue
Datasets and Benchmarks Track
Heavy-Tailed Class Imbalance and Why Adam Outperforms Gradient Descent on Language Models Frederik Kunstner, Alan Milligan, Robin Yadav, Mark Schmidt, Alberto Bietti
Main Conference Track
Using Time-Aware Graph Neural Networks to Predict Temporal Centralities in Dynamic Graphs Franziska Heeg, Ingo Scholtes
Main Conference Track
Fast T2T: Optimization Consistency Speeds Up Diffusion-Based Training-to-Testing Solving for Combinatorial Optimization Yang Li, Jinpei Guo, Runzhong Wang, Hongyuan Zha, Junchi Yan
Main Conference Track
Combining Statistical Depth and Fermat Distance for Uncertainty Quantification Hai-Vy Nguyen, Fabrice Gamboa, Reda Chhaibi, Sixin Zhang, Serge Gratton, Thierry Giaccone
Main Conference Track
Learning Human-like Representations to Enable Learning Human Values Andrea H. Wynn, Ilia Sucholutsky, Thomas L. Griffiths
Main Conference Track
Implicit Regularization Paths of Weighted Neural Representations Jin-Hong Du, Pratik Patil
Main Conference Track
Identifying and Solving Conditional Image Leakage in Image-to-Video Diffusion Model Min Zhao, Hongzhou Zhu, Chendong Xiang, Kaiwen Zheng, Chongxuan Li, Jun Zhu
Main Conference Track
MV2Cyl: Reconstructing 3D Extrusion Cylinders from Multi-View Images Eunji Hong, Minh Hieu Nguyen, Mikaela Angelina Uy, Minhyuk Sung
Main Conference Track
Hierarchical and Density-based Causal Clustering Kwangho Kim, Jisu Kim, Larry A. Wasserman, Edward H. Kennedy
Main Conference Track
How to Use Diffusion Priors under Sparse Views? Qisen Wang, Yifan Zhao, Jiawei Ma, Jia Li
Main Conference Track
Exponential Quantum Communication Advantage in Distributed Inference and Learning Dar Gilboa, Hagay Michaeli, Daniel Soudry, Jarrod R. McClean
Main Conference Track
Towards Efficient and Optimal Covariance-Adaptive Algorithms for Combinatorial Semi-Bandits Julien Zhou, Pierre Gaillard, Thibaud Rahier, Houssam Zenati, Julyan Arbel
Main Conference Track
Zero-to-Hero: Enhancing Zero-Shot Novel View Synthesis via Attention Map Filtering Ido Sobol, Chenfeng Xu, Or Litany
Main Conference Track
PrefPaint: Aligning Image Inpainting Diffusion Model with Human Preference Kendong Liu, Zhiyu Zhu, Chuanhao Li, Hui Liu, Huanqiang Zeng, Junhui Hou
Main Conference Track
Federated Learning from Vision-Language Foundation Models: Theoretical Analysis and Method Bikang Pan, Wei Huang, Ye Shi
Main Conference Track
SciCode: A Research Coding Benchmark Curated by Scientists Minyang Tian, Luyu Gao, Shizhuo Dylan Zhang, Xinan Chen, Cunwei Fan, Xuefei Guo, Roland Haas, Pan Ji, Kittithat Krongchon, Yao Li, Shengyan Liu, Di Luo, Yutao Ma, Hao Tong, Kha Trinh, Chenyu Tian, Zihan Wang, Bohao Wu, Yanyu Xiong, Shengzhu Yin, Minhui Zhu, Kilian Lieret, Yanxin Lu, Genglin Liu, Yufeng Du, Tianhua Tao, Ofir Press, Jamie Callan, Eliu Huerta, Hao Peng
Datasets and Benchmarks Track
Binarized Diffusion Model for Image Super-Resolution Zheng Chen, Haotong Qin, Yong Guo, Xiongfei Su, Xin Yuan, Linghe Kong, Yulun Zhang
Main Conference Track
Micro-Bench: A Microscopy Benchmark for Vision-Language Understanding Alejandro Lozano, Jeffrey Nirschl, James Burgess, Sanket Rajan Gupte, Yuhui Zhang, Alyssa Unell, Serena Yeung-Levy
Datasets and Benchmarks Track
Delving into the Reversal Curse: How Far Can Large Language Models Generalize? Zhengkai Lin, Zhihang Fu, Kai Liu, Liang Xie, Binbin Lin, Wenxiao Wang, Deng Cai, Yue Wu, Jieping Ye
Main Conference Track
Language Without Borders: A Dataset and Benchmark for Code-Switching Lip Reading Xueyi Zhang, Chengwei Zhang, Mingrui Lao, Peng Zhao, Jun Tang, Yanming Guo, Siqi Cai, Xianghu Yue, Haizhou Li
Datasets and Benchmarks Track
On the Parameter Identifiability of Partially Observed Linear Causal Models Xinshuai Dong, Ignavier Ng, Biwei Huang, Yuewen Sun, Songyao Jin, Roberto Legaspi, Peter Spirtes, Kun Zhang
Main Conference Track
Accelerating Transformers with Spectrum-Preserving Token Merging Hoai-Chau Tran, Duy M. H. Nguyen, Duy M. Nguyen, TrungTin Nguyen, Ngan Le, Pengtao Xie, Daniel Sonntag, James Zou, Binh T. Nguyen, Mathias Niepert
Main Conference Track
The FineWeb Datasets: Decanting the Web for the Finest Text Data at Scale Guilherme Penedo, Hynek Kydlíček, Loubna Ben allal, Anton Lozhkov, Margaret Mitchell, Colin Raffel, Leandro Von Werra, Thomas Wolf
Datasets and Benchmarks Track
Should We Really Edit Language Models? On the Evaluation of Edited Language Models Qi Li, Xiang Liu, Zhenheng Tang, Peijie Dong, Zeyu Li, Xinglin Pan, Xiaowen Chu
Main Conference Track
Model-free Low-Rank Reinforcement Learning via Leveraged Entry-wise Matrix Estimation Stefan Stojanovic, Yassir Jedra, Alexandre Proutiere
Main Conference Track
Seeing the Image: Prioritizing Visual Correlation by Contrastive Alignment Xin Xiao, Bohong Wu, Jiacong Wang, Chunyuan Li, Xun Zhou, Haoyuan Guo
Main Conference Track
Solving Minimum-Cost Reach Avoid using Reinforcement Learning Oswin So, Cheng Ge, Chuchu Fan
Main Conference Track
Toward a Well-Calibrated Discrimination via Survival Outcome-Aware Contrastive Learning Dongjoon Lee, Hyeryn Park, Changhee Lee
Main Conference Track
Image Understanding Makes for A Good Tokenizer for Image Generation Luting Wang, Yang Zhao, Zijian Zhang, Jiashi Feng, Si Liu, Bingyi Kang
Main Conference Track
Inverse M-Kernels for Linear Universal Approximators of Non-Negative Functions Hideaki Kim
Main Conference Track
Delta-CoMe: Training-Free Delta-Compression with Mixed-Precision for Large Language Models Bowen Ping, Shuo Wang, Hanqing Wang, Xu Han, Yuzhuang Xu, Yukun Yan, Yun Chen, Baobao Chang, Zhiyuan Liu, Maosong Sun
Main Conference Track
Towards Combating Frequency Simplicity-biased Learning for Domain Generalization Xilin He, Jingyu Hu, Qinliang Lin, Cheng Luo, Weicheng Xie, Siyang Song, Muhammad Haris Khan, Linlin Shen
Main Conference Track
Generated and Pseudo Content guided Prototype Refinement for Few-shot Point Cloud Segmentation Lili Wei, Congyan Lang, Ziyi Chen, Tao Wang, Yidong Li, Jun Liu
Main Conference Track
Learning an Actionable Discrete Diffusion Policy via Large-Scale Actionless Video Pre-Training Haoran He, Chenjia Bai, Ling Pan, Weinan Zhang, Bin Zhao, Xuelong Li
Main Conference Track
Estimating the Hallucination Rate of Generative AI Andrew Jesson, Nicolas Beltran-Velez, Quentin Chu, Sweta Karlekar, Jannik Kossen, Yarin Gal, John P. Cunningham, David Blei
Main Conference Track
Do causal predictors generalize better to new domains? Vivian Y. Nastl, Moritz Hardt
Main Conference Track
Computation-Aware Gaussian Processes: Model Selection And Linear-Time Inference Jonathan Wenger, Kaiwen Wu, Philipp Hennig, Jacob R. Gardner, Geoff Pleiss, John P. Cunningham
Main Conference Track
Frequency Adaptive Normalization For Non-stationary Time Series Forecasting Weiwei Ye, Songgaojun Deng, Qiaosha Zou, Ning Gui
Main Conference Track
Towards Human-AI Complementarity with Prediction Sets Giovanni De Toni, Nastaran Okati, Suhas Thejaswi, Eleni Straitouri, Manuel Gomez-Rodriguez
Main Conference Track
Evidence of Learned Look-Ahead in a Chess-Playing Neural Network Erik Jenner, Shreyas Kapur, Vasil Georgiev, Cameron Allen, Scott Emmons, Stuart Russell
Main Conference Track
Universal Online Convex Optimization with $1$ Projection per Round Wenhao Yang, Yibo Wang, Peng Zhao, Lijun Zhang
Main Conference Track
Towards Croppable Implicit Neural Representations Maor Ashkenazi, Eran Treister
Main Conference Track
EPIC: Effective Prompting for Imbalanced-Class Data Synthesis in Tabular Data Classification via Large Language Models Jinhee Kim, Taesung Kim, Jaegul Choo
Main Conference Track
Fit for our purpose, not yours: Benchmark for a low-resource, Indigenous language Suzanne Duncan, Gianna Leoni, Lee Steven, Keoni Mahelona, Peter-Lucas Jones
Datasets and Benchmarks Track
On Statistical Rates and Provably Efficient Criteria of Latent Diffusion Transformers (DiTs) Jerry Yao-Chieh Hu, Weimin Wu, Zhuoru Li, Sophia Pi, Zhao Song, Han Liu
Main Conference Track
Beyond Redundancy: Information-aware Unsupervised Multiplex Graph Structure Learning Zhixiang Shen, Shuo Wang, Zhao Kang
Main Conference Track
Active learning of neural population dynamics using two-photon holographic optogenetics Andrew Wagenmaker, Lu Mi, Marton Rozsa, Matthew S. Bull, Karel Svoboda, Kayvon Daie, Matthew D. Golub, Kevin Jamieson
Main Conference Track
DARNet: Dual Attention Refinement Network with Spatiotemporal Construction for Auditory Attention Detection Sheng Yan, Cunhang Fan, Hongyu Zhang, Xiaoke Yang, Jianhua Tao, Zhao Lv
Main Conference Track
High-dimensional (Group) Adversarial Training in Linear Regression Yiling Xie, Xiaoming Huo
Main Conference Track
Enhancing Robustness of Graph Neural Networks on Social Media with Explainable Inverse Reinforcement Learning Yuefei Lyu, Chaozhuo Li, Sihong Xie, Xi Zhang
Main Conference Track
Interpretable Mesomorphic Networks for Tabular Data Arlind Kadra, Sebastian Pineda Arango, Josif Grabocka
Main Conference Track
Transformers to SSMs: Distilling Quadratic Knowledge to Subquadratic Models Aviv Bick, Kevin Y. Li, Eric P. Xing, J. Zico Kolter, Albert Gu
Main Conference Track
GameTraversalBenchmark: Evaluating Planning Abilities Of Large Language Models Through Traversing 2D Game Maps Muhammad Umair Nasir, Steven James, Julian Togelius
Datasets and Benchmarks Track
Wings: Learning Multimodal LLMs without Text-only Forgetting Yi-Kai Zhang, Shiyin Lu, Yang Li, Yanqing Ma, Qing-Guo Chen, Zhao Xu, Weihua Luo, Kaifu Zhang, De-Chuan Zhan, Han-Jia Ye
Main Conference Track
Predicting the Performance of Foundation Models via Agreement-on-the-Line Rahul Saxena, Taeyoun Kim, Aman Mehra, Christina Baek, Zico Kolter, Aditi Raghunathan
Main Conference Track
Exact Gradients for Stochastic Spiking Neural Networks Driven by Rough Signals Christian Holberg, Cristopher Salvi
Main Conference Track
Quantum Deep Equilibrium Models Philipp Schleich, Marta Skreta, Lasse B. Kristensen, Rodrigo A. Vargas-Hernández, Alán Aspuru-Guzik
Main Conference Track
EfficientCAPER: An End-to-End Framework for Fast and Robust Category-Level Articulated Object Pose Estimation Xinyi Yu, Haonan Jiang, Li Zhang, Lin Yuanbo Wu, Linin Ou, Liu Liu
Main Conference Track
FiVA: Fine-grained Visual Attribute Dataset for Text-to-Image Diffusion Models Tong Wu, Yinghao Xu, Ryan Po, Mengchen Zhang, Guandao Yang, Jiaqi Wang, Ziwei Liu, Dahua Lin, Gordon Wetzstein
Datasets and Benchmarks Track
$\epsilon$-Softmax: Approximating One-Hot Vectors for Mitigating Label Noise Jialiang Wang, Xiong Zhou, Deming Zhai, Junjun Jiang, Xiangyang Ji, Xianming Liu
Main Conference Track
Replicable Uniformity Testing Sihan Liu, Christopher Ye
Main Conference Track
E.T. Bench: Towards Open-Ended Event-Level Video-Language Understanding Ye Liu, Zongyang Ma, Zhongang Qi, Yang Wu, Ying Shan, Chang Wen Chen
Datasets and Benchmarks Track
Dual Prototype Evolving for Test-Time Generalization of Vision-Language Models Ce Zhang, Simon Stepputtis, Katia Sycara, Yaqi Xie
Main Conference Track
Low Degree Hardness for Broadcasting on Trees Han Huang, Elchanan Mossel
Main Conference Track
Bag of Tricks: Benchmarking of Jailbreak Attacks on LLMs Zhao XU, Fan LIU, Hao LIU
Datasets and Benchmarks Track
Latent Learning Progress Drives Autonomous Goal Selection in Human Reinforcement Learning Gaia Molinaro, Cédric Colas, Pierre-Yves Oudeyer, Anne G. E. Collins
Main Conference Track
The tree autoencoder model, with application to hierarchical data visualization Miguel Á. Carreira-Perpiñán, Kuat Gazizov
Main Conference Track
Neural Network Reparametrization for Accelerated Optimization in Molecular Simulations Nima Dehmamy, Csaba Both, Jeet Mohapatra, Subhro Das, Tommi Jaakkola
Main Conference Track
Large Language Models' Expert-level Global History Knowledge Benchmark (HiST-LLM) Jakob Hauser, Daniel Kondor, Jenny Reddish, Majid Benam, Enrico Cioni, Federica Villa, James S. Bennett, Daniel Hoyer, Pieter Francois, Peter Turchin, R. Maria del Rio-Chanona
Datasets and Benchmarks Track
Your Diffusion Model is Secretly a Noise Classifier and Benefits from Contrastive Training Yunshu Wu, Yingtao Luo, Xianghao Kong, Evangelos E. Papalexakis, Greg Ver Steeg
Main Conference Track
Distribution Guidance Network for Weakly Supervised Point Cloud Semantic Segmentation Zhiyi Pan, Wei Gao, Shan Liu, Ge Li
Main Conference Track
Stabilizing Linear Passive-Aggressive Online Learning with Weighted Reservoir Sampling Skyler Wu, Fred Lu, Edward Raff, James Holt
Main Conference Track
Separation and Bias of Deep Equilibrium Models on Expressivity and Learning Dynamics Zhoutong Wu, Yimu Zhang, Cong Fang, Zhouchen Lin
Main Conference Track
MatrixNet: Learning over symmetry groups using learned group representations Lucas Laird, Circe Hsu, Asilata Bapat, Robin Walters
Main Conference Track
Statistical and Geometrical properties of the Kernel Kullback-Leibler divergence Clémentine Chazal, Anna Korba, Francis Bach
Main Conference Track
Masked Pre-training Enables Universal Zero-shot Denoiser Xiaoxiao Ma, Zhixiang Wei, Yi Jin, Pengyang Ling, Tianle Liu, Ben Wang, Junkang Dai, Huaian Chen
Main Conference Track
Adaptive Image Quality Assessment via Teaching Large Multimodal Model to Compare Hanwei Zhu, Haoning Wu, Yixuan Li, Zicheng Zhang, Baoliang Chen, Lingyu Zhu, Yuming Fang, Guangtao Zhai, Weisi Lin, Shiqi Wang
Main Conference Track
Fast Best-of-N Decoding via Speculative Rejection Hanshi Sun, Momin Haider, Ruiqi Zhang, Huitao Yang, Jiahao Qiu, Ming Yin, Mengdi Wang, Peter L. Bartlett, Andrea Zanette
Main Conference Track
PointMamba: A Simple State Space Model for Point Cloud Analysis Dingkang Liang, Xin Zhou, Wei Xu, Xingkui Zhu, Zhikang Zou, Xiaoqing Ye, Xiao Tan, Xiang Bai
Main Conference Track
Distributional regression: CRPS-error bounds for model fitting, model selection and convex aggregation Clément Dombry, Ahmed Zaoui
Main Conference Track
Non-convolutional graph neural networks. Yuanqing Wang, Kyunghyun Cho
Main Conference Track
TripletCLIP: Improving Compositional Reasoning of CLIP via Synthetic Vision-Language Negatives Maitreya Patel, Abhiram Kusumba, Sheng Cheng, Changhoon Kim, Tejas Gokhale, Chitta Baral, Yezhou Yang
Main Conference Track
Where does In-context Learning Happen in Large Language Models? Suzanna Sia, David Mueller, Kevin Duh
Main Conference Track
Fine-grained Control of Generative Data Augmentation in IoT Sensing Tianshi Wang, Qikai Yang, Ruijie Wang, Dachun Sun, Jinyang Li, Yizhuo Chen, Yigong Hu, Chaoqi Yang, Tomoyoshi Kimura, Denizhan Kara, Tarek Abdelzaher
Main Conference Track
A Systematic Review of NeurIPS Dataset Management Practices Yiwei Wu, Leah Ajmani, Shayne Longpre, Hanlin Li
Datasets and Benchmarks Track
Geodesic Optimization for Predictive Shift Adaptation on EEG data Apolline Mellot, Antoine Collas, Sylvain Chevallier, Alexandre Gramfort, Denis A. Engemann
Main Conference Track
Improved Few-Shot Jailbreaking Can Circumvent Aligned Language Models and Their Defenses Xiaosen Zheng, Tianyu Pang, Chao Du, Qian Liu, Jing Jiang, Min Lin
Main Conference Track
Stylus: Automatic Adapter Selection for Diffusion Models Michael Luo, Justin Wong, Brandon Trabucco, Yanping Huang, Joseph E. Gonzalez, Zhifeng Chen, Ruslan Salakhutdinov, Ion Stoica
Main Conference Track
The Surprising Ineffectiveness of Pre-Trained Visual Representations for Model-Based Reinforcement Learning Moritz Schneider, Robert Krug, Narunas Vaskevicius, Luigi Palmieri, Joschka Boedecker
Main Conference Track
DiMSUM: Diffusion Mamba - A Scalable and Unified Spatial-Frequency Method for Image Generation Hao Phung, Quan Dao, Trung Dao, Hoang Phan, Dimitris N. Metaxas, Anh Tran
Main Conference Track
Graph-based Uncertainty Metrics for Long-form Language Model Generations Mingjian Jiang, Yangjun Ruan, Prasanna Sattigeri, Salim Roukos, Tatsunori Hashimoto
Main Conference Track
Sequence-Augmented SE(3)-Flow Matching For Conditional Protein Generation Guillaume Huguet, James Vuckovic, Kilian Fatras, Eric Thibodeau-Laufer, Pablo Lemos, Riashat Islam, Cheng-Hao Liu, Jarrid Rector-Brooks, Tara Akhound-Sadegh, Michael Bronstein, Alexander Tong, Avishek Joey Bose
Main Conference Track
GaussianMarker: Uncertainty-Aware Copyright Protection of 3D Gaussian Splatting Xiufeng Huang, Ruiqi Li, Yiu-ming Cheung, Ka Chun Cheung, Simon See, Renjie Wan
Main Conference Track
Warm-starting Push-Relabel Sami Davies, Sergei Vassilvitskii, Yuyan Wang
Main Conference Track
Latent Neural Operator for Solving Forward and Inverse PDE Problems Tian Wang, Chuang Wang
Main Conference Track
Dense Connector for MLLMs Huanjin Yao, Wenhao Wu, Taojiannan Yang, Yuxin Song, Mengxi Zhang, Haocheng Feng, Yifan Sun, Zhiheng Li, Wanli Ouyang, Jingdong Wang
Main Conference Track
Learning to compute Gröbner bases Hiroshi Kera, Yuki Ishihara, Yuta Kambe, Tristan Vaccon, Kazuhiro Yokoyama
Main Conference Track
Linearly Decomposing and Recomposing Vision Transformers for Diverse-Scale Models Shuxia Lin, Miaosen Zhang, Ruiming Chen, Qiufeng Wang, Xu Yang, Xin Geng
Main Conference Track
Adaptive Depth Networks with Skippable Sub-Paths Woochul Kang, Hyungseop Lee
Main Conference Track
Bridge the Points: Graph-based Few-shot Segment Anything Semantically Anqi Zhang, Guangyu Gao, Jianbo Jiao, Chi Harold Liu, Yunchao Wei
Main Conference Track
DiffNorm: Self-Supervised Normalization for Non-autoregressive Speech-to-speech Translation Weiting Tan, Jingyu Zhang, Lingfeng Shen, Daniel Khashabi, Philipp Koehn
Main Conference Track
Neural Persistence Dynamics Sebastian Zeng, Florian Graf, Martin Uray, Stefan Huber, Roland Kwitt
Main Conference Track
Ada-MSHyper: Adaptive Multi-Scale Hypergraph Transformer for Time Series Forecasting Zongjiang Shang, Ling Chen, Binqing Wu, Dongliang Cui
Main Conference Track
Pseudo-Private Data Guided Model Inversion Attacks Xiong Peng, Bo Han, Feng Liu, Tongliang Liu, Mingyuan Zhou
Main Conference Track
Cluster-wise Graph Transformer with Dual-granularity Kernelized Attention Siyuan Huang, Yunchong Song, Jiayue Zhou, Zhouhan Lin
Main Conference Track
ClashEval: Quantifying the tug-of-war between an LLM’s internal prior and external evidence Kevin Wu, Eric Wu, James Zou
Datasets and Benchmarks Track
MedSafetyBench: Evaluating and Improving the Medical Safety of Large Language Models Tessa Han, Aounon Kumar, Chirag Agarwal, Himabindu Lakkaraju
Datasets and Benchmarks Track
Span-Based Optimal Sample Complexity for Weakly Communicating and General Average Reward MDPs Matthew Zurek, Yudong Chen
Main Conference Track
Learning Spatially-Aware Language and Audio Embeddings Bhavika Devnani, Skyler Seto, Zakaria Aldeneh, Alessandro Toso, Elena Menyaylenko, Barry-John Theobald, Jonathan Sheaffer, Miguel Sarabia
Main Conference Track
A Neural Network Approach for Efficiently Answering Most Probable Explanation Queries in Probabilistic Models Shivvrat Arya, Tahrima Rahman, Vibhav Gogate
Main Conference Track
RefDrop: Controllable Consistency in Image or Video Generation via Reference Feature Guidance Jiaojiao Fan, Haotian Xue, Qinsheng Zhang, Yongxin Chen
Main Conference Track
Deep Equilibrium Algorithmic Reasoning Dobrik Georgiev, JJ Wilson, Davide Buffelli, Pietro Liò
Main Conference Track
Disentangling the Roles of Distinct Cell Classes with Cell-Type Dynamical Systems Aditi Jha, Diksha Gupta, Carlos D. Brody, Jonathan W. Pillow
Main Conference Track
MG-Net: Learn to Customize QAOA with Circuit Depth Awareness Yang Qian, Xinbiao Wang, Yuxuan Du, Yong Luo, Dacheng Tao
Main Conference Track
Provable Acceleration of Nesterov's Accelerated Gradient for Asymmetric Matrix Factorization and Linear Neural Networks Zhenghao Xu, Yuqing Wang, Tuo Zhao, Rachel Ward, Molei Tao
Main Conference Track
S-STE: Continuous Pruning Function for Efficient 2:4 Sparse Pre-training Yuezhou Hu, Jun Zhu, Jianfei Chen
Main Conference Track
Rethinking Score Distillation as a Bridge Between Image Distributions David McAllister, Songwei Ge, Jia-Bin Huang, David W. Jacobs, Alexei A. Efros, Aleksander Holynski, Angjoo Kanazawa
Main Conference Track
Modeling Latent Neural Dynamics with Gaussian Process Switching Linear Dynamical Systems Amber Hu, David Zoltowski, Aditya Nair, David Anderson, Lea Duncker, Scott Linderman
Main Conference Track
Sparse maximal update parameterization: A holistic approach to sparse training dynamics Nolan Dey, Shane Bergsma, Joel Hestness
Main Conference Track
AHA: Human-Assisted Out-of-Distribution Generalization and Detection Haoyue Bai, Jifan Zhang, Robert Nowak
Main Conference Track
Efficient Sign-Based Optimization: Accelerating Convergence via Variance Reduction Wei Jiang, Sifan Yang, Wenhao Yang, Lijun Zhang
Main Conference Track
DynaMo: In-Domain Dynamics Pretraining for Visuo-Motor Control Zichen Jeff Cui, Hengkai Pan, Aadhithya Iyer, Siddhant Haldar, Lerrel Pinto
Main Conference Track
Predicting Ground State Properties: Constant Sample Complexity and Deep Learning Algorithms Marc Wanner, Laura Lewis, Chiranjib Bhattacharyya, Devdatt Dubhashi, Alexandru Gheorghiu
Main Conference Track
Spiking Graph Neural Network on Riemannian Manifolds Li Sun, Zhenhao Huang, Qiqi Wan, Hao Peng, Philip S. Yu
Main Conference Track
Vector Quantization Prompting for Continual Learning Li Jiao, Qiuxia Lai, Yu Li, Qiang Xu
Main Conference Track
BertaQA: How Much Do Language Models Know About Local Culture? Julen Etxaniz, Gorka Azkune, Aitor Soroa, Oier Lopez de Lacalle, Mikel Artetxe
Datasets and Benchmarks Track
Stylebreeder: Exploring and Democratizing Artistic Styles through Text-to-Image Models Matthew Zheng, Enis Simsar, Hidir Yesiltepe, Federico Tombari, Joel Simon, Pinar Yanardag
Datasets and Benchmarks Track
Contextual Multinomial Logit Bandits with General Value Functions Mengxiao Zhang, Haipeng Luo
Main Conference Track
MindMerger: Efficiently Boosting LLM Reasoning in non-English Languages Zixian Huang, Wenhao Zhu, Gong Cheng, Lei Li, Fei Yuan
Main Conference Track
LLM-Check: Investigating Detection of Hallucinations in Large Language Models Gaurang Sriramanan, Siddhant Bharti, Vinu Sankar Sadasivan, Shoumik Saha, Priyatham Kattakinda, Soheil Feizi
Main Conference Track
Shaping the distribution of neural responses with interneurons in a recurrent circuit model David Lipshutz, Eero P. Simoncelli
Main Conference Track
Safe and Efficient: A Primal-Dual Method for Offline Convex CMDPs under Partial Data Coverage Haobo Zhang, Xiyue Peng, Honghao Wei, Xin Liu
Main Conference Track
OpenDebateEvidence: A Massive-Scale Argument Mining and Summarization Dataset Allen Roush, Yusuf Shabazz, Arvind Balaji, Peter Zhang, Stefano Mezza, Markus Zhang, Sanjay Basu, Sriram Vishwanath, Mehdi Fatemi, Ravid Shwartz Ziv
Datasets and Benchmarks Track
Accelerating Blockwise Parallel Language Models with Draft Refinement Taehyeon Kim, Ananda Theertha Suresh, Kishore Papineni, Michael Riley, Sanjiv Kumar, Adrian Benton
Main Conference Track
MotionBooth: Motion-Aware Customized Text-to-Video Generation Jianzong Wu, Xiangtai Li, Yanhong Zeng, Jiangning Zhang, Qianyu Zhou, Yining Li, Kai Chen, Yunhai Tong
Main Conference Track
Neural Pose Representation Learning for Generating and Transferring Non-Rigid Object Poses Seungwoo Yoo, Juil Koo, Kyeongmin Yeo, Minhyuk Sung
Main Conference Track
Energy-based Epistemic Uncertainty for Graph Neural Networks Dominik Fuchsgruber, Tom Wollschläger, Stephan Günnemann
Main Conference Track
Bridge the Modality and Capability Gaps in Vision-Language Model Selection Chao Yi, Yu-Hang He, De-Chuan Zhan, Han-Jia Ye
Main Conference Track
MetaAligner: Towards Generalizable Multi-Objective Alignment of Language Models Kailai Yang, Zhiwei Liu, Qianqian Xie, Jimin Huang, Tianlin Zhang, Sophia Ananiadou
Main Conference Track
DOGS: Distributed-Oriented Gaussian Splatting for Large-Scale 3D Reconstruction Via Gaussian Consensus Yu Chen, Gim Hee Lee
Main Conference Track
Blind Image Restoration via Fast Diffusion Inversion Hamadi Chihaoui, Abdelhak Lemkhenter, Paolo Favaro
Main Conference Track
Web-Scale Visual Entity Recognition: An LLM-Driven Data Approach Mathilde Caron, Alireza Fathi, Cordelia Schmid, Ahmet Iscen
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FedSSP: Federated Graph Learning with Spectral Knowledge and Personalized Preference Zihan Tan, Guancheng Wan, Wenke Huang, Mang Ye
Main Conference Track
Kronecker-Factored Approximate Curvature for Physics-Informed Neural Networks Felix Dangel, Johannes Müller, Marius Zeinhofer
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SpeedLoader: An I/O efficient scheme for heterogeneous and distributed LLM operation Yiqi Zhang, Yang You
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CoSy: Evaluating Textual Explanations of Neurons Laura Kopf, Philine Lou Bommer, Anna Hedström, Sebastian Lapuschkin, Marina M.-C. Höhne, Kirill Bykov
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Multistable Shape from Shading Emerges from Patch Diffusion Xinran Nicole Han, Todd Zickler, Ko Nishino
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Exploring Behavior-Relevant and Disentangled Neural Dynamics with Generative Diffusion Models Yule Wang, Chengrui Li, Weihan Li, Anqi Wu
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OpenMathInstruct-1: A 1.8 Million Math Instruction Tuning Dataset Shubham Toshniwal, Ivan Moshkov, Sean Narenthiran, Daria Gitman, Fei Jia, Igor Gitman
Datasets and Benchmarks Track
TACT: Advancing Complex Aggregative Reasoning with Information Extraction Tools Avi Caciularu, Alon Jacovi, Eyal Ben-David, Sasha Goldshtein, Tal Schuster, Jonathan Herzig, Gal Elidan, Amir Globerson
Datasets and Benchmarks Track
Bidirectional Recurrence for Cardiac Motion Tracking with Gaussian Process Latent Coding Jiewen Yang, Yiqun Lin, Bin Pu, Xiaomeng Li
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Algebraic Positional Encodings Konstantinos Kogkalidis, Jean-Philippe Bernardy, Vikas Garg
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What is my quantum computer good for? Quantum capability learning with physics-aware neural networks Daniel Hothem, Ashe Miller, Timothy Proctor
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Rule Extrapolation in Language Modeling: A Study of Compositional Generalization on OOD Prompts Anna Mészáros, Szilvia Ujváry, Wieland Brendel, Patrik Reizinger, Ferenc Huszár
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Byzantine Robustness and Partial Participation Can Be Achieved at Once: Just Clip Gradient Differences Grigory Malinovsky, Peter Richtárik, Samuel Horváth, Eduard Gorbunov
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Is Your LiDAR Placement Optimized for 3D Scene Understanding? Ye Li, Lingdong Kong, Hanjiang Hu, Xiaohao Xu, Xiaonan Huang
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3-in-1: 2D Rotary Adaptation for Efficient Finetuning, Efficient Batching and Composability Baohao Liao, Christof Monz
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Bridging OOD Detection and Generalization: A Graph-Theoretic View Han Wang, Yixuan Li
Main Conference Track
Localize, Understand, Collaborate: Semantic-Aware Dragging via Intention Reasoner Xing Cui, Peipei Li, Zekun Li, Xuannan Liu, Yueying Zou, Zhaofeng He
Main Conference Track
FashionR2R: Texture-preserving Rendered-to-Real Image Translation with Diffusion Models Rui Hu, Qian He, Gaofeng He, Jiedong Zhuang, Huang Chen, Huafeng Liu, Huamin Wang
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Preference Alignment with Flow Matching Minu Kim, Yongsik Lee, Sehyeok Kang, Jihwan Oh, Song Chong, Se-Young Yun
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Mean-Field Langevin Dynamics for Signed Measures via a Bilevel Approach Guillaume Wang, Alireza Mousavi-Hosseini, Lénaïc Chizat
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Advection Augmented Convolutional Neural Networks Niloufar Zakariaei, Siddharth Rout, Eldad Haber, Moshe Eliasof
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Extensive-Form Game Solving via Blackwell Approachability on Treeplexes Darshan Chakrabarti, Julien Grand-Clément, Christian Kroer
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Quantum Algorithms for Non-smooth Non-convex Optimization Chengchang Liu, Chaowen Guan, Jianhao He, John C.S. Lui
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Automatic Outlier Rectification via Optimal Transport Jose Blanchet, Jiajin Li, Markus Pelger, Greg Zanotti
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Topological obstruction to the training of shallow ReLU neural networks Marco Nurisso, Pierrick Leroy, Francesco Vaccarino
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AdaSociety: An Adaptive Environment with Social Structures for Multi-Agent Decision-Making Yizhe Huang, Xingbo Wang, Hao Liu, Fanqi Kong, Aoyang Qin, Min Tang, Song-Chun Zhu, Mingjie Bi, Siyuan Qi, Xue Feng
Datasets and Benchmarks Track
Single Image Unlearning: Efficient Machine Unlearning in Multimodal Large Language Models Jiaqi Li, Qianshan Wei, Chuanyi Zhang, Guilin Qi, Miaozeng Du, Yongrui Chen, Sheng Bi, Fan Liu
Main Conference Track
FlexMol: A Flexible Toolkit for Benchmarking Molecular Relational Learning Sizhe Liu, Jun Xia, Lecheng Zhang, Yuchen Liu, Yue Liu, Wenjie Du, Zhangyang Gao, Bozhen Hu, Cheng Tan, Hongxin Xiang, Stan Z. Li
Datasets and Benchmarks Track
Mining and Transferring Feature-Geometry Coherence for Unsupervised Point Cloud Registration Kezheng Xiong, Haoen Xiang, Qingshan Xu, Chenglu Wen, Siqi Shen, Jonathan Li, Cheng Wang
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Improving robustness to corruptions with multiplicative weight perturbations Trung Trinh, Markus Heinonen, Luigi Acerbi, Samuel Kaski
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LeDex: Training LLMs to Better Self-Debug and Explain Code Nan Jiang, Xiaopeng Li, Shiqi Wang, Qiang Zhou, Soneya Binta Hossain, Baishakhi Ray, Varun Kumar, Xiaofei Ma, Anoop Deoras
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Guiding Neural Collapse: Optimising Towards the Nearest Simplex Equiangular Tight Frame Evan Markou, Thalaiyasingam Ajanthan, Stephen Gould
Main Conference Track
Time-Constrained Robust MDPs Adil Zouitine, David Bertoin, Pierre Clavier, Matthieu Geist, Emmanuel Rachelson
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CemiFace: Center-based Semi-hard Synthetic Face Generation for Face Recognition Zhonglin Sun, Siyang Song, Ioannis Patras, Georgios Tzimiropoulos
Main Conference Track
Randomized Strategic Facility Location with Predictions Eric Balkanski, Vasilis Gkatzelis, Golnoosh Shahkarami
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OccamLLM: Fast and Exact Language Model Arithmetic in a Single Step Owen Dugan, Donato M. Jiménez-Benetó, Charlotte Loh, Zhuo Chen, Rumen Dangovski, Marin Soljačić
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ProSST: Protein Language Modeling with Quantized Structure and Disentangled Attention Mingchen Li, Yang Tan, Xinzhu Ma, Bozitao Zhong, Huiqun Yu, Ziyi Zhou, Wanli Ouyang, Bingxin Zhou, Pan Tan, Liang Hong
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The Dormant Neuron Phenomenon in Multi-Agent Reinforcement Learning Value Factorization Haoyuan Qin, Chennan Ma, Mian Deng, Zhengzhu Liu, Songzhu Mei, Xinwang Liu, Cheng Wang, Siqi Shen
Main Conference Track
NewTerm: Benchmarking Real-Time New Terms for Large Language Models with Annual Updates Hexuan Deng, Wenxiang Jiao, Xuebo Liu, Min Zhang, Zhaopeng Tu
Datasets and Benchmarks Track
STimage-1K4M: A histopathology image-gene expression dataset for spatial transcriptomics Jiawen Chen, Muqing Zhou, Wenrong Wu, Jinwei Zhang, Yun Li, Didong Li
Datasets and Benchmarks Track
Infinite Limits of Multi-head Transformer Dynamics Blake Bordelon, Hamza Chaudhry, Cengiz Pehlevan
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WeiPer: OOD Detection using Weight Perturbations of Class Projections Maximilian Granz, Manuel Heurich, Tim Landgraf
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On the Impacts of the Random Initialization in the Neural Tangent Kernel Theory Guhan Chen, Yicheng Li, Qian Lin
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Boundary Matters: A Bi-Level Active Finetuning Method Han Lu, Yichen Xie, Xiaokang Yang, Junchi Yan
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Implicitly Guided Design with PropEn: Match your Data to Follow the Gradient Nataša Tagasovska, Vladimir Gligorijević, Kyunghyun Cho, Andreas Loukas
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Separations in the Representational Capabilities of Transformers and Recurrent Architectures Satwik Bhattamishra, Michael Hahn, Phil Blunsom, Varun Kanade
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Multistep Distillation of Diffusion Models via Moment Matching Tim Salimans, Thomas Mensink, Jonathan Heek, Emiel Hoogeboom
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AUC Maximization under Positive Distribution Shift Atsutoshi Kumagai, Tomoharu Iwata, Hiroshi Takahashi, Taishi Nishiyama, Yasuhiro Fujiwara
Main Conference Track
NaRCan: Natural Refined Canonical Image with Integration of Diffusion Prior for Video Editing Ting-Hsuan Chen, Jiewen Chan, Hau-Shiang Shiu, Shih-Han Yen, Chang-Han Yeh, Yu-Lun Liu
Main Conference Track
Dataset Decomposition: Faster LLM Training with Variable Sequence Length Curriculum Hadi Pouransari, Chun-Liang Li, Jen-Hao Rick Chang, Pavan Kumar Anasosalu Vasu, Cem Koc, Vaishaal Shankar, Oncel Tuzel
Main Conference Track
Provably Robust Score-Based Diffusion Posterior Sampling for Plug-and-Play Image Reconstruction Xingyu Xu, Yuejie Chi
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Mobility-LLM: Learning Visiting Intentions and Travel Preference from Human Mobility Data with Large Language Models Letian Gong, Yan Lin, Xinyue Zhang, Yiwen Lu, Xuedi Han, Yichen Liu, Shengnan Guo, Youfang Lin, Huaiyu Wan
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Probabilistic Conformal Distillation for Enhancing Missing Modality Robustness Mengxi Chen, Fei Zhang, Zihua Zhao, Jiangchao Yao, Ya Zhang, Yanfeng Wang
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Causal discovery with endogenous context variables Wiebke Günther, Oana-Iuliana Popescu, Martin Rabel, Urmi Ninad, Andreas Gerhardus, Jakob Runge
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BIOSCAN-5M: A Multimodal Dataset for Insect Biodiversity Zahra Gharaee, Scott C. Lowe, ZeMing Gong, Pablo Millan Arias, Nicholas Pellegrino, Austin T. Wang, Joakim Bruslund Haurum, Iuliia Zarubiieva, Lila Kari, Dirk Steinke, Graham W. Taylor, Paul Fieguth, Angel X. Chang
Datasets and Benchmarks Track
Medformer: A Multi-Granularity Patching Transformer for Medical Time-Series Classification Yihe Wang, Nan Huang, Taida Li, Yujun Yan, Xiang Zhang
Main Conference Track
A Phase Transition between Positional and Semantic Learning in a Solvable Model of Dot-Product Attention Hugo Cui, Freya Behrens, Florent Krzakala, Lenka Zdeborová
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Learning to Reason via Program Generation, Emulation, and Search Nathaniel Weir, Muhammad Khalifa, Linlu Qiu, Orion Weller, Peter Clark
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Mutli-Armed Bandits with Network Interference Abhineet Agarwal, Anish Agarwal, Lorenzo Masoero, Justin Whitehouse
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Bayesian Nonparametrics Meets Data-Driven Distributionally Robust Optimization Nicola Bariletto, Nhat Ho
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On the Ability of Developers' Training Data Preservation of Learnware Hao-Yi Lei, Zhi-Hao Tan, Zhi-Hua Zhou
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Learning the Optimal Policy for Balancing Short-Term and Long-Term Rewards Qinwei Yang, Xueqing Liu, Yan Zeng, Ruocheng Guo, Yang Liu, Peng Wu
Main Conference Track
Interpreting Learned Feedback Patterns in Large Language Models Luke Marks, Amir Abdullah, Clement Neo, Rauno Arike, David Krueger, Philip Torr, Fazl Barez
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What Makes CLIP More Robust to Long-Tailed Pre-Training Data? A Controlled Study for Transferable Insights Xin Wen, Bingchen Zhao, Yilun Chen, Jiangmiao Pang, Xiaojuan Qi
Main Conference Track
Unpacking DPO and PPO: Disentangling Best Practices for Learning from Preference Feedback Hamish Ivison, Yizhong Wang, Jiacheng Liu, Zeqiu Wu, Valentina Pyatkin, Nathan Lambert, Noah A. Smith, Yejin Choi, Hannaneh Hajishirzi
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Benign overfitting in leaky ReLU networks with moderate input dimension Kedar Karhadkar, Erin George, Michael Murray, Guido Montúfar, Deanna Needell
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On the Computational Complexity of Private High-dimensional Model Selection Saptarshi Roy, Zehua Wang, Ambuj Tewari
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SpGesture: Source-Free Domain-adaptive sEMG-based Gesture Recognition with Jaccard Attentive Spiking Neural Network Weiyu Guo, Ying Sun, Yijie Xu, Ziyue Qiao, Yongkui Yang, Hui Xiong
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Defensive Unlearning with Adversarial Training for Robust Concept Erasure in Diffusion Models Yimeng Zhang, Xin Chen, Jinghan Jia, Yihua Zhang, Chongyu Fan, Jiancheng Liu, Mingyi Hong, Ke Ding, Sijia Liu
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PuLID: Pure and Lightning ID Customization via Contrastive Alignment Zinan Guo, Yanze Wu, Zhuowei Chen, Lang Chen, Peng Zhang, Qian He
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MINT-1T: Scaling Open-Source Multimodal Data by 10x: A Multimodal Dataset with One Trillion Tokens Anas Awadalla, Le Xue, Oscar Lo, Manli Shu, Hannah Lee, Etash Guha, Matt Jordan, Sheng Shen, Mohamed Awadalla, Silvio Savarese, Caiming Xiong, Ran Xu, Yejin Choi, Ludwig Schmidt
Datasets and Benchmarks Track
Almost-Linear RNNs Yield Highly Interpretable Symbolic Codes in Dynamical Systems Reconstruction Manuel Brenner, Christoph Jürgen Hemmer, Zahra Monfared, Daniel Durstewitz
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$\nabla^2$DFT: A Universal Quantum Chemistry Dataset of Drug-Like Molecules and a Benchmark for Neural Network Potentials Kuzma Khrabrov, Anton Ber, Artem Tsypin, Konstantin Ushenin, Egor Rumiantsev, Alexander Telepov, Dmitry Protasov, Ilya Shenbin, Anton Alekseev, Mikhail Shirokikh, Sergey Nikolenko, Elena Tutubalina, Artur Kadurin
Datasets and Benchmarks Track
D2R2: Diffusion-based Representation with Random Distance Matching for Tabular Few-shot Learning Ruoxue Liu, Linjiajie Fang, Wenjia Wang, Bing-Yi Jing
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Dataset and Lessons Learned from the 2024 SaTML LLM Capture-the-Flag Competition Edoardo Debenedetti, Javier Rando, Daniel Paleka, Fineas Silaghi, Dragos Albastroiu, Niv Cohen, Yuval Lemberg, Reshmi Ghosh, Rui Wen, Ahmed Salem, Giovanni Cherubin, Santiago Zanella-Beguelin, Robin Schmid, Victor Klemm, Takahiro Miki, Chenhao Li, Stefan Kraft, Mario Fritz, Florian Tramèr, Sahar Abdelnabi, Lea Schönherr
Datasets and Benchmarks Track
Learning Discrete Concepts in Latent Hierarchical Models Lingjing Kong, Guangyi Chen, Biwei Huang, Eric P. Xing, Yuejie Chi, Kun Zhang
Main Conference Track
StackEval: Benchmarking LLMs in Coding Assistance Nidhish Shah, Zulkuf Genc, Dogu Araci
Datasets and Benchmarks Track
Scaling White-Box Transformers for Vision Jinrui Yang, Xianhang Li, Druv Pai, Yuyin Zhou, Yi Ma, Yaodong Yu, Cihang Xie
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Bridging Gaps: Federated Multi-View Clustering in Heterogeneous Hybrid Views Xinyue Chen, Yazhou Ren, Jie Xu, Fangfei Lin, Xiaorong Pu, Yang Yang
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Robust and Faster Zeroth-Order Minimax Optimization: Complexity and Applications Weixin An, Yuanyuan Liu, Fanhua Shang, Hongying Liu
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Generalization Error Bounds for Two-stage Recommender Systems with Tree Structure Jin Zhang, Ze Liu, Defu Lian, Enhong Chen
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Group Robust Preference Optimization in Reward-free RLHF Shyam Sundhar Ramesh, Yifan Hu, Iason Chaimalas, Viraj Mehta, Pier Giuseppe Sessa, Haitham Bou Ammar, Ilija Bogunovic
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Polyhedral Complex Derivation from Piecewise Trilinear Networks Jin-Hwa Kim
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Differentiable Quantum Computing for Large-scale Linear Control Connor Clayton, Jiaqi Leng, Gengzhi Yang, Yi-Ling Qiao, Ming C. Lin, Xiaodi Wu
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TopoFR: A Closer Look at Topology Alignment on Face Recognition Jun Dan, Yang Liu, Jiankang Deng, Haoyu Xie, Siyuan Li, Baigui Sun, Shan Luo
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Fair Online Bilateral Trade François Bachoc, Nicolò Cesa-Bianchi, Tommaso Cesari, Roberto Colomboni
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Towards Exact Gradient-based Training on Analog In-memory Computing Zhaoxian Wu, Tayfun Gokmen, Malte J. Rasch, Tianyi Chen
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Fast Tree-Field Integrators: From Low Displacement Rank to Topological Transformers Krzysztof Choromanski, Arijit Sehanobish, Somnath Basu Roy Chowdhury, Han Lin, Avinava Dubey, Tamas Sarlos, Snigdha Chaturvedi
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Barely Random Algorithms and Collective Metrical Task Systems Romain Cosson, Laurent Massoulié
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Aligning Large Language Models with Representation Editing: A Control Perspective Lingkai Kong, Haorui Wang, Wenhao Mu, Yuanqi Du, Yuchen Zhuang, Yifei Zhou, Yue Song, Rongzhi Zhang, Kai Wang, Chao Zhang
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Adjust Pearson's $r$ to Measure Arbitrary Monotone Dependence Xinbo Ai
Main Conference Track
Disentangling Interpretable Factors with Supervised Independent Subspace Principal Component Analysis Jiayu Su, David A. Knowles, Raul Rabadan
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Why the Metric Backbone Preserves Community Structure Maximilien Dreveton, Charbel Chucri, Matthias Grossglauser, Patrick Thiran
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Unified Graph Augmentations for Generalized Contrastive Learning on Graphs Jiaming Zhuo, Yintong Lu, Hui Ning, Kun Fu, Bingxin Niu, Dongxiao He, Chuan Wang, Yuanfang Guo, Zhen Wang, Xiaochun Cao, Liang Yang
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MSAGPT: Neural Prompting Protein Structure Prediction via MSA Generative Pre-Training Bo Chen, Zhilei Bei, Xingyi Cheng, Pan Li, Jie Tang, Le Song
Main Conference Track
DiffGS: Functional Gaussian Splatting Diffusion Junsheng Zhou, Weiqi Zhang, Yu-Shen Liu
Main Conference Track
Towards Editing Time Series Baoyu Jing, Shuqi Gu, Tianyu Chen, Zhiyu Yang, Dongsheng Li, Jingrui He, Kan Ren
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ALPS: Improved Optimization for Highly Sparse One-Shot Pruning for Large Language Models Xiang Meng, Kayhan Behdin, Haoyue Wang, Rahul Mazumder
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From Linear to Linearizable Optimization: A Novel Framework with Applications to Stationary and Non-stationary DR-submodular Optimization Mohammad Pedramfar, Vaneet Aggarwal
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Plan-on-Graph: Self-Correcting Adaptive Planning of Large Language Model on Knowledge Graphs Liyi Chen, Panrong Tong, Zhongming Jin, Ying Sun, Jieping Ye, Hui Xiong
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Efficient Sketches for Training Data Attribution and Studying the Loss Landscape Andrea Schioppa
Main Conference Track
To Learn or Not to Learn, That is the Question — A Feature-Task Dual Learning Model of Perceptual Learning Xiao Liu, Muyang Lyu, Cong Yu, Si Wu
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Efficient Temporal Action Segmentation via Boundary-aware Query Voting Peiyao Wang, Yuewei Lin, Erik Blasch, Jie Wei, Haibin Ling
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Beyond task diversity: provable representation transfer for sequential multitask linear bandits Thang Duong, Zhi Wang, Chicheng Zhang
Main Conference Track
WindsorML: High-Fidelity Computational Fluid Dynamics Dataset For Automotive Aerodynamics Neil Ashton, Jordan B. Angel, Aditya S. Ghate, Gaetan K. W. Kenway, Man Long Wong, Cetin Kiris, Astrid Walle, Danielle C. Maddix, Gary Page
Datasets and Benchmarks Track
Time Makes Space: Emergence of Place Fields in Networks Encoding Temporally Continuous Sensory Experiences Zhaoze Wang, Ronald W. Di Tullio, Spencer Rooke, Vijay Balasubramanian
Main Conference Track
Gradient-Variation Online Learning under Generalized Smoothness Yan-Feng Xie, Peng Zhao, Zhi-Hua Zhou
Main Conference Track
GC-Bench: An Open and Unified Benchmark for Graph Condensation Qingyun Sun, Ziying Chen, Beining Yang, Cheng Ji, Xingcheng Fu, Sheng Zhou, Hao Peng, Jianxin Li, Philip S. Yu
Datasets and Benchmarks Track
Learnability Matters: Active Learning for Video Captioning Yiqian Zhang, Buyu Liu, Jun Bao, Qiang Huang, Min Zhang, Jun Yu
Main Conference Track
Soft ascent-descent as a stable and flexible alternative to flooding Matthew J. Holland, Kosuke Nakatani
Main Conference Track
RanDumb: Random Representations Outperform Online Continually Learned Representations Ameya Prabhu, Shiven Sinha, Ponnurangam Kumaraguru, Philip H.S. Torr, Ozan Sener, Puneet K. Dokania
Main Conference Track
Randomized Truthful Auctions with Learning Agents Gagan Aggarwal, Anupam Gupta, Andres Perlroth, Grigoris Velegkas
Main Conference Track
Learning Action and Reasoning-Centric Image Editing from Videos and Simulation Benno Krojer, Dheeraj Vattikonda, Luis Lara, Varun Jampani, Eva Portelance, Christopher Pal, Siva Reddy
Datasets and Benchmarks Track
ContactField: Implicit Field Representation for Multi-Person Interaction Geometry Hansol Lee, Tackgeun You, Hansoo Park, Woohyeon Shim, Sanghyeon Kim, Hwasup Lim
Main Conference Track
Kuro Siwo: 33 billion $m^2$ under the water. A global multi-temporal satellite dataset for rapid flood mapping Nikolaos Ioannis Bountos, Maria Sdraka, Angelos Zavras, Ilektra Karasante, Andreas Karavias, Themistocles Herekakis, Angeliki Thanasou, Dimitrios Michail, Ioannis Papoutsis
Datasets and Benchmarks Track
Active Perception for Grasp Detection via Neural Graspness Field Haoxiang Ma, Modi Shi, Boyang Gao, Di Huang
Main Conference Track
NoisyGL: A Comprehensive Benchmark for Graph Neural Networks under Label Noise Zhonghao Wang, Danyu Sun, Sheng Zhou, Haobo Wang, Jiapei Fan, Longtao Huang, Jiajun Bu
Datasets and Benchmarks Track
A Bayesian Approach to Data Point Selection Xinnuo Xu, Minyoung Kim, Royson Lee, Brais Martinez, Timothy Hospedales
Main Conference Track
Bayesian Optimization of Functions over Node Subsets in Graphs Huidong Liang, Xingchen Wan, Xiaowen Dong
Main Conference Track
ClevrSkills: Compositional Language And Visual Reasoning in Robotics Sanjay Haresh, Daniel Dijkman, Apratim Bhattacharyya, Roland Memisevic
Datasets and Benchmarks Track
Mission Impossible: A Statistical Perspective on Jailbreaking LLMs Jingtong Su, Julia Kempe, Karen Ullrich
Main Conference Track
A Geometric View of Data Complexity: Efficient Local Intrinsic Dimension Estimation with Diffusion Models Hamidreza Kamkari, Brendan Leigh Ross, Rasa Hosseinzadeh, Jesse C. Cresswell, Gabriel Loaiza-Ganem
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Simplifying Latent Dynamics with Softly State-Invariant World Models Tankred Saanum, Peter Dayan, Eric Schulz
Main Conference Track
When is Multicalibration Post-Processing Necessary? Dutch Hansen, Siddartha Devic, Preetum Nakkiran, Vatsal Sharan
Main Conference Track
Learning Multimodal Behaviors from Scratch with Diffusion Policy Gradient Zechu Li, Rickmer Krohn, Tao Chen, Anurag Ajay, Pulkit Agrawal, Georgia Chalvatzaki
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Attack-Resilient Image Watermarking Using Stable Diffusion Lijun Zhang, Xiao Liu, Antoni Viros Martin, Cindy Xiong Bearfield, Yuriy Brun, Hui Guan
Main Conference Track
Activating Self-Attention for Multi-Scene Absolute Pose Regression Miso Lee, Jihwan Kim, Jae-Pil Heo
Main Conference Track
SELMA: Learning and Merging Skill-Specific Text-to-Image Experts with Auto-Generated Data Jialu Li, Jaemin Cho, Yi-Lin Sung, Jaehong Yoon, Mohit Bansal
Main Conference Track
Generalized Protein Pocket Generation with Prior-Informed Flow Matching Zaixi Zhang, Marinka Zitnik, Qi Liu
Main Conference Track
Reinforcement Learning Gradients as Vitamin for Online Finetuning Decision Transformers Kai Yan, Alexander G. Schwing, Yu-Xiong Wang
Main Conference Track
Bias Amplification in Language Model Evolution: An Iterated Learning Perspective Yi Ren, Shangmin Guo, Linlu Qiu, Bailin Wang, Danica J. Sutherland
Main Conference Track
Credal Learning Theory Michele Caprio, Maryam Sultana, Eleni G. Elia, Fabio Cuzzolin
Main Conference Track
On the Power of Small-size Graph Neural Networks for Linear Programming Qian Li, Tian Ding, Linxin Yang, Minghui Ouyang, Qingjiang Shi, Ruoyu Sun
Main Conference Track
An eye for an ear: zero-shot audio description leveraging an image captioner with audio-visual token distribution matching Hugo Malard, Michel Olvera, Stéphane Lathuiliere, Slim Essid
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AdaNeg: Adaptive Negative Proxy Guided OOD Detection with Vision-Language Models Yabin Zhang, Lei Zhang
Main Conference Track
Maximizing utility in multi-agent environments by anticipating the behavior of other learners Angelos Assos, Yuval Dagan, Constantinos Daskalakis
Main Conference Track
Generative Hierarchical Materials Search Sherry Yang, Simon Batzner, Ruiqi Gao, Muratahan Aykol, Alexander Gaunt, Brendan McMorrow, Danilo Rezende, Dale Schuurmans, Igor Mordatch, Ekin Dogus Cubuk
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Enhancing In-Context Learning Performance with just SVD-Based Weight Pruning: A Theoretical Perspective Xinhao Yao, Xiaolin Hu, Shenzhi Yang, Yong Liu
Main Conference Track
Certified Machine Unlearning via Noisy Stochastic Gradient Descent Eli Chien, Haoyu Wang, Ziang Chen, Pan Li
Main Conference Track
$\boldsymbol{\mu}\mathbf{P^2}$: Effective Sharpness Aware Minimization Requires Layerwise Perturbation Scaling Moritz Haas, Jin Xu, Volkan Cevher, Leena Chennuru Vankadara
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Leveraging Environment Interaction for Automated PDDL Translation and Planning with Large Language Models Sadegh Mahdavi, Raquel Aoki, Keyi Tang, Yanshuai Cao
Main Conference Track
BiDM: Pushing the Limit of Quantization for Diffusion Models Xingyu Zheng, Xianglong Liu, Yichen Bian, Xudong Ma, Yulun Zhang, Jiakai Wang, Jinyang Guo, Haotong Qin
Main Conference Track
Gated Inference Network: Inference and Learning State-Space Models Hamidreza Hashempoor, Wan Choi
Main Conference Track
FedGTST: Boosting Global Transferability of Federated Models via Statistics Tuning Evelyn Ma, Chao Pan, Rasoul Etesami, Han Zhao, Olgica Milenkovic
Main Conference Track
Zero-Shot Scene Reconstruction from Single Images with Deep Prior Assembly Junsheng Zhou, Yu-Shen Liu, Zhizhong Han
Main Conference Track
Binding in hippocampal-entorhinal circuits enables compositionality in cognitive maps Christopher J. Kymn, Sonia Mazelet, Anthony Thomas, Denis Kleyko, E. Paxon Frady, Friedrich T. Sommer, Bruno A. Olshausen
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GREAT Score: Global Robustness Evaluation of Adversarial Perturbation using Generative Models ZAITANG LI, Pin-Yu Chen, Tsung-Yi Ho
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Multivariate Stochastic Dominance via Optimal Transport and Applications to Models Benchmarking Gabriel Rioux, Apoorva Nitsure, Mattia Rigotti, Kristjan Greenewald, Youssef Mroueh
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Rethinking Misalignment in Vision-Language Model Adaptation from a Causal Perspective Yanan Zhang, Jiangmeng Li, Lixiang Liu, Wenwen Qiang
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EEGPT: Pretrained Transformer for Universal and Reliable Representation of EEG Signals Guagnyu Wang, Wenchao Liu, Yuhong He, Cong Xu, Lin Ma, Haifeng Li
Main Conference Track
DDGS-CT: Direction-Disentangled Gaussian Splatting for Realistic Volume Rendering Zhongpai Gao, Benjamin Planche, Meng Zheng, Xiao Chen, Terrence Chen, Ziyan Wu
Main Conference Track
ChatTracker: Enhancing Visual Tracking Performance via Chatting with Multimodal Large Language Model Yiming Sun, Fan Yu, Shaoxiang Chen, Yu Zhang, Junwei Huang, Yang Li, Chenhui Li, Changbo Wang
Main Conference Track
L-TTA: Lightweight Test-Time Adaptation Using a Versatile Stem Layer Jin Shin, Hyun Kim
Main Conference Track
Sample Complexity of Interventional Causal Representation Learning Emre Acartürk, Burak Varıcı, Karthikeyan Shanmugam, Ali Tajer
Main Conference Track
GAMap: Zero-Shot Object Goal Navigation with Multi-Scale Geometric-Affordance Guidance Shuaihang Yuan, Hao Huang, Yu Hao, Congcong Wen, Anthony Tzes, Yi Fang
Main Conference Track
Dual-Personalizing Adapter for Federated Foundation Models Yiyuan Yang, Guodong Long, Tao Shen, Jing Jiang, Michael Blumenstein
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SlimSAM: 0.1% Data Makes Segment Anything Slim Zigeng Chen, Gongfan Fang, Xinyin Ma, Xinchao Wang
Main Conference Track
Group-wise oracle-efficient algorithms for online multi-group learning Samuel Deng, Daniel Hsu, Jingwen Liu
Main Conference Track
Diff-eRank: A Novel Rank-Based Metric for Evaluating Large Language Models Lai Wei, Zhiquan Tan, Chenghai Li, Jindong Wang, Weiran Huang
Main Conference Track
LG-CAV: Train Any Concept Activation Vector with Language Guidance Qihan Huang, Jie Song, Mengqi Xue, Haofei Zhang, Bingde Hu, Huiqiong Wang, Hao Jiang, Xingen Wang, Mingli Song
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Text-DiFuse: An Interactive Multi-Modal Image Fusion Framework based on Text-modulated Diffusion Model Hao Zhang, Lei Cao, Jaiyi Ma
Main Conference Track
Epipolar-Free 3D Gaussian Splatting for Generalizable Novel View Synthesis Zhiyuan Min, Yawei Luo, Jianwen Sun, Yi Yang
Main Conference Track
Interpreting and Analysing CLIP's Zero-Shot Image Classification via Mutual Knowledge Fawaz Sammani, Nikos Deligiannis
Main Conference Track
An exactly solvable model for emergence and scaling laws in the multitask sparse parity problem Yoonsoo Nam, Nayara Fonseca, Seok Hyeong Lee, Chris Mingard, Ard A. Louis
Main Conference Track
The Sample-Communication Complexity Trade-off in Federated Q-Learning Sudeep Salgia, Yuejie Chi
Main Conference Track
Uncertainty-based Offline Variational Bayesian Reinforcement Learning for Robustness under Diverse Data Corruptions Rui Yang, Jie Wang, Guoping Wu, Bin Li
Main Conference Track
Harmonizing Stochasticity and Determinism: Scene-responsive Diverse Human Motion Prediction Tuo Wang, Zhenbo Song, Zhenyu Lou, Qiongjie Cui, Luoming Zhang, Cheng Cheng, Haofan Wang, Xu Tang, Huaxia Li, Hong Zhou
Main Conference Track
MetaUAS: Universal Anomaly Segmentation with One-Prompt Meta-Learning Bin-Bin Gao
Main Conference Track
Harnessing small projectors and multiple views for efficient vision pretraining Arna Ghosh, Kumar Krishna Agrawal, Shagun Sodhani, Adam M. Oberman, Blake A. Richards
Main Conference Track
AttnDreamBooth: Towards Text-Aligned Personalized Text-to-Image Generation Lianyu Pang, Jian Yin, Baoquan Zhao, Feize Wu, Fu Lee Wang, Qing Li, Xudong Mao
Main Conference Track
Bridge-IF: Learning Inverse Protein Folding with Markov Bridges Yiheng Zhu, Jialu Wu, Qiuyi Li, Jiahuan Yan, Mingze Yin, Wei Wu, Mingyang Li, Jieping Ye, Zheng Wang, Jian Wu
Main Conference Track
On Differentially Private Subspace Estimation in a Distribution-Free Setting Eliad Tsfadia
Main Conference Track
Optimal Scalarizations for Sublinear Hypervolume Regret Qiuyi (Richard) Zhang
Main Conference Track
PromptFix: You Prompt and We Fix the Photo Yongsheng Yu, Ziyun Zeng, Hang Hua, Jianlong Fu, Jiebo Luo
Main Conference Track
DenoiseRep: Denoising Model for Representation Learning Zhengrui Xu, Guan'an Wang, Xiaowen Huang, Jitao Sang
Main Conference Track
Revealing Distribution Discrepancy by Sampling Transfer in Unlabeled Data Zhilin Zhao, Longbing Cao, Xuhui Fan, Wei-Shi Zheng
Main Conference Track
RoboMamba: Efficient Vision-Language-Action Model for Robotic Reasoning and Manipulation Jiaming Liu, Mengzhen Liu, Zhenyu Wang, Pengju An, Xiaoqi Li, Kaichen Zhou, Senqiao Yang, Renrui Zhang, Yandong Guo, Shanghang Zhang
Main Conference Track
GAIA: Rethinking Action Quality Assessment for AI-Generated Videos Zijian Chen, Wei Sun, Yuan Tian, Jun Jia, Zicheng Zhang, Jiarui Wang, Ru Huang, Xiongkuo Min, Guangtao Zhai, Wenjun Zhang
Datasets and Benchmarks Track
ABCFair: an Adaptable Benchmark approach for Comparing Fairness Methods MaryBeth Defrance, Maarten Buyl, Tijl De Bie
Datasets and Benchmarks Track
Interfacing Foundation Models' Embeddings Xueyan Zou, Linjie Li, Jianfeng Wang, Jianwei Yang, Mingyu Ding, Junyi Wei, Zhengyuan Yang, Feng Li, Hao Zhang, Shilong Liu, Arul Aravinthan, Yong Jae Lee, Lijuan Wang
Main Conference Track
Robust Prompt Optimization for Defending Language Models Against Jailbreaking Attacks Andy Zhou, Bo Li, Haohan Wang
Main Conference Track
Large Spatial Model: End-to-end Unposed Images to Semantic 3D Zhiwen Fan, Jian Zhang, Wenyan Cong, Peihao Wang, Renjie Li, Kairun Wen, Shijie Zhou, Achuta Kadambi, Zhangyang Wang, Danfei Xu, Boris Ivanovic, Marco Pavone, Yue Wang
Main Conference Track
Long-tailed Object Detection Pretraining: Dynamic Rebalancing Contrastive Learning with Dual Reconstruction Chen-Long Duan, Yong Li, Xiu-Shen Wei, Lin Zhao
Main Conference Track
HydraViT: Stacking Heads for a Scalable ViT Janek Haberer, Ali Hojjat, Olaf Landsiedel
Main Conference Track
Meteor: Mamba-based Traversal of Rationale for Large Language and Vision Models Byung-Kwan Lee, Chae Won Kim, Beomchan Park, Yong Man Ro
Main Conference Track
Learning predictable and robust neural representations by straightening image sequences Xueyan Niu, Cristina Savin, Eero P. Simoncelli
Main Conference Track
The Scandinavian Embedding Benchmarks: Comprehensive Assessment of Multilingual and Monolingual Text Embedding Kenneth Enevoldsen, Márton Kardos, Niklas Muennighoff, Kristoffer Laigaard Nielbo
Datasets and Benchmarks Track
Quasi-Bayes meets Vines David Huk, Yuanhe Zhang, Mark Steel, Ritabrata Dutta
Main Conference Track
VERIFIED: A Video Corpus Moment Retrieval Benchmark for Fine-Grained Video Understanding Houlun Chen, Xin Wang, Hong Chen, Zeyang Zhang, Wei Feng, Bin Huang, Jia Jia, Wenwu Zhu
Datasets and Benchmarks Track
Online Learning with Sublinear Best-Action Queries Matteo Russo, Andrea Celli, Riccardo Colini-Baldeschi, Federico Fusco, Daniel Haimovich, Dima Karamshuk, Stefano Leonardi, Niek Tax
Main Conference Track
On the Target-kernel Alignment: a Unified Analysis with Kernel Complexity Chao Wang, Xin He, Yuwen Wang, Junhui Wang
Main Conference Track
Reshuffling Resampling Splits Can Improve Generalization of Hyperparameter Optimization Thomas Nagler, Lennart Schneider, Bernd Bischl, Matthias Feurer
Main Conference Track
Generative Modeling of Molecular Dynamics Trajectories Bowen Jing, Hannes Stärk, Tommi Jaakkola, Bonnie Berger
Main Conference Track
On the Sparsity of the Strong Lottery Ticket Hypothesis Emanuele Natale, Davide Ferré, Giordano Giambartolomei, Frédéric Giroire, Frederik Mallmann-Trenn
Main Conference Track
Progressive Exploration-Conformal Learning for Sparsely Annotated Object Detection in Aerial Images Zihan Lu, Chenxu Wang, Chunyan Xu, Xiangwei Zheng, Zhen Cui
Main Conference Track
MotionTTT: 2D Test-Time-Training Motion Estimation for 3D Motion Corrected MRI Tobit Klug, Kun Wang, Stefan Ruschke, Reinhard Heckel
Main Conference Track
Wasserstein convergence of Cech persistence diagrams for samplings of submanifolds Charles Arnal, David Cohen-Steiner, Vincent Divol
Main Conference Track
LLM Circuit Analyses Are Consistent Across Training and Scale Curt Tigges, Michael Hanna, Qinan Yu, Stella Biderman
Main Conference Track
Discovering plasticity rules that organize and maintain neural circuits David Bell, Alison Duffy, Adrienne Fairhall
Main Conference Track
On Weak Regret Analysis for Dueling Bandits El Mehdi Saad, Alexandra Carpentier, Tomáš Kocák, Nicolas Verzelen
Main Conference Track
HGDL: Heterogeneous Graph Label Distribution Learning Yufei Jin, Heng Lian, Yi He, Xingquan Zhu
Main Conference Track
Simple and Fast Distillation of Diffusion Models Zhenyu Zhou, Defang Chen, Can Wang, Chun Chen, Siwei Lyu
Main Conference Track
Semi-supervised Knowledge Transfer Across Multi-omic Single-cell Data Fan Zhang, Tianyu Liu, Zihao Chen, Xiaojiang Peng, Chong Chen, Xian-Sheng Hua, Xiao Luo, Hongyu Zhao
Main Conference Track
A Siamese Transformer with Hierarchical Refinement for Lane Detection Zinan Lv, Dong Han, Wenzhe Wang, Danny Z. Chen
Main Conference Track
Yo'LLaVA: Your Personalized Language and Vision Assistant Thao Nguyen, Haotian Liu, Yuheng Li, Mu Cai, Utkarsh Ojha, Yong Jae Lee
Main Conference Track
SEL-BALD: Deep Bayesian Active Learning with Selective Labels Ruijiang Gao, Mingzhang Yin, Maytal Saar-Tsechansky
Main Conference Track
Improved Sample Complexity Bounds for Diffusion Model Training Shivam Gupta, Aditya Parulekar, Eric Price, Zhiyang Xun
Main Conference Track
Inexact Augmented Lagrangian Methods for Conic Optimization: Quadratic Growth and Linear Convergence Feng-Yi Liao, Lijun Ding, Yang Zheng
Main Conference Track
VidMan: Exploiting Implicit Dynamics from Video Diffusion Model for Effective Robot Manipulation Youpeng Wen, Junfan Lin, Yi Zhu, Jianhua Han, Hang Xu, Shen Zhao, Xiaodan Liang
Main Conference Track
Compact Language Models via Pruning and Knowledge Distillation Saurav Muralidharan, Sharath Turuvekere Sreenivas, Raviraj Joshi, Marcin Chochowski, Mostofa Patwary, Mohammad Shoeybi, Bryan Catanzaro, Jan Kautz, Pavlo Molchanov
Main Conference Track
Graphcode: Learning from multiparameter persistent homology using graph neural networks Michael Kerber, Florian Russold
Main Conference Track
Boosting Sample Efficiency and Generalization in Multi-agent Reinforcement Learning via Equivariance Joshua McClellan, Naveed Haghani, John Winder, Furong Huang, Pratap Tokekar
Main Conference Track
TurboHopp: Accelerated Molecule Scaffold Hopping with Consistency Models Kiwoong Yoo, Owen Oertell, Junhyun Lee, Sanghoon Lee, Jaewoo Kang
Main Conference Track
WikiDBs: A Large-Scale Corpus Of Relational Databases From Wikidata Liane Vogel, Jan-Micha Bodensohn, Carsten Binnig
Datasets and Benchmarks Track
The Expressive Capacity of State Space Models: A Formal Language Perspective Yash Sarrof, Yana Veitsman, Michael Hahn
Main Conference Track
Is One GPU Enough? Pushing Image Generation at Higher-Resolutions with Foundation Models. Athanasios Tragakis, Marco Aversa, Chaitanya Kaul, Roderick Murray-Smith, Daniele Faccio
Main Conference Track
Optimal Algorithms for Online Convex Optimization with Adversarial Constraints Abhishek Sinha, Rahul Vaze
Main Conference Track
Unveiling the Bias Impact on Symmetric Moral Consistency of Large Language Models Ziyi Zhou, Xinwei Guo, Jiashi Gao, Xiangyu Zhao, Shiyao Zhang, Xin Yao, Xuetao Wei
Main Conference Track
Accelerated Regularized Learning in Finite N-Person Games Kyriakos Lotidis, Angeliki Giannou, Panayotis Mertikopoulos, Nicholas Bambos
Main Conference Track
Embedding Dimension of Contrastive Learning and $k$-Nearest Neighbors Dmitrii Avdiukhin, Vaggos Chatziafratis, Orr Fischer, Grigory Yaroslavtsev
Main Conference Track
Verified Code Transpilation with LLMs Sahil Bhatia, Jie Qiu, Niranjan Hasabnis, Sanjit A. Seshia, Alvin Cheung
Main Conference Track
SVFT: Parameter-Efficient Fine-Tuning with Singular Vectors Vijay Lingam, Atula Tejaswi, Aditya Vavre, Aneesh Shetty, Gautham Krishna Gudur, Joydeep Ghosh, Alex Dimakis, Eunsol Choi, Aleksandar Bojchevski, Sujay Sanghavi
Main Conference Track
Interpretable Image Classification with Adaptive Prototype-based Vision Transformers Chiyu Ma, Jon Donnelly, Wenjun Liu, Soroush Vosoughi, Cynthia Rudin, Chaofan Chen
Main Conference Track
I2EBench: A Comprehensive Benchmark for Instruction-based Image Editing Yiwei Ma, Jiayi Ji, Ke Ye, Weihuang Lin, Zhibin Wang, Yonghan Zheng, Qiang Zhou, Xiaoshuai Sun, Rongrong Ji
Main Conference Track
F-OAL: Forward-only Online Analytic Learning with Fast Training and Low Memory Footprint in Class Incremental Learning Huiping Zhuang, Yuchen Liu, Run He, Kai Tong, Ziqian Zeng, Cen Chen, Yi Wang, Lap-Pui Chau
Main Conference Track
Debiasing Synthetic Data Generated by Deep Generative Models Alexander Decruyenaere, Heidelinde Dehaene, Paloma Rabaey, Christiaan Polet, Johan Decruyenaere, Thomas Demeester, Stijn Vansteelandt
Main Conference Track
Probabilistic Weather Forecasting with Hierarchical Graph Neural Networks Joel Oskarsson, Tomas Landelius, Marc Peter Deisenroth, Fredrik Lindsten
Main Conference Track
Learning Plaintext-Ciphertext Cryptographic Problems via ANF-based SAT Instance Representation Xinhao Zheng, Yang Li, Cunxin Fan, Huaijin Wu, Xinhao Song, Junchi Yan
Main Conference Track
A Universal Growth Rate for Learning with Smooth Surrogate Losses Anqi Mao, Mehryar Mohri, Yutao Zhong
Main Conference Track
Exploiting LLM Quantization Kazuki Egashira, Mark Vero, Robin Staab, Jingxuan He, Martin Vechev
Main Conference Track
Learning Social Welfare Functions Kanad Shrikar Pardeshi, Itai Shapira, Ariel D. Procaccia, Aarti Singh
Main Conference Track
MaNo: Exploiting Matrix Norm for Unsupervised Accuracy Estimation Under Distribution Shifts Renchunzi Xie, Ambroise Odonnat, Vasilii Feofanov, Weijian Deng, Jianfeng Zhang, Bo An
Main Conference Track
Learning 3D Garment Animation from Trajectories of A Piece of Cloth Yidi Shao, Chen Change Loy, Bo Dai
Main Conference Track
DOPPLER: Differentially Private Optimizers with Low-pass Filter for Privacy Noise Reduction Xinwei Zhang, Zhiqi Bu, Mingyi Hong, Meisam Razaviyayn
Main Conference Track
The Challenges of the Nonlinear Regime for Physics-Informed Neural Networks Andrea Bonfanti, Giuseppe Bruno, Cristina Cipriani
Main Conference Track
Transferability Bound Theory: Exploring Relationship between Adversarial Transferability and Flatness Mingyuan Fan, Xiaodan Li, Cen Chen, Wenmeng Zhou, Yaliang Li
Main Conference Track
Physics-Regularized Multi-Modal Image Assimilation for Brain Tumor Localization Michal Balcerak, Tamaz Amiranashvili, Andreas Wagner, Jonas Weidner, Petr Karnakov, Johannes C. Paetzold, Ivan Ezhov, Petros Koumoutsakos, Benedikt Wiestler, Bjoern Menze
Main Conference Track
Mechanism design augmented with output advice George Christodoulou, Alkmini Sgouritsa, Ioannis Vlachos
Main Conference Track
Persistent Homology for High-dimensional Data Based on Spectral Methods Sebastian Damrich, Philipp Berens, Dmitry Kobak
Main Conference Track
Sparsity-Agnostic Linear Bandits with Adaptive Adversaries Tianyuan Jin, Kyoungseok Jang, Nicolò Cesa-Bianchi
Main Conference Track
MoME: Mixture of Multimodal Experts for Generalist Multimodal Large Language Models Leyang Shen, Gongwei Chen, Rui Shao, Weili Guan, Liqiang Nie
Main Conference Track
OW-VISCapTor: Abstractors for Open-World Video Instance Segmentation and Captioning Anwesa Choudhuri, Girish Chowdhary, Alexander G. Schwing
Main Conference Track
Unveiling and Mitigating Backdoor Vulnerabilities based on Unlearning Weight Changes and Backdoor Activeness Weilin Lin, Li Liu, Shaokui Wei, Jianze Li, Hui Xiong
Main Conference Track
Lookback Prophet Inequalities Ziyad Benomar, Dorian Baudry, Vianney Perchet
Main Conference Track
Understanding Scaling Laws with Statistical and Approximation Theory for Transformer Neural Networks on Intrinsically Low-dimensional Data Alex Havrilla, Wenjing Liao
Main Conference Track
Evaluating Numerical Reasoning in Text-to-Image Models Ivana Kajić, Olivia Wiles, Isabela Albuquerque, Matthias Bauer, Su Wang, Jordi Pont-Tuset, Aida Nematzadeh
Datasets and Benchmarks Track
Self-Healing Machine Learning: A Framework for Autonomous Adaptation in Real-World Environments Paulius Rauba, Nabeel Seedat, Krzysztof Kacprzyk, Mihaela van der Schaar
Main Conference Track
Learning Transferable Features for Implicit Neural Representations Kushal Vyas, Ahmed Imtiaz Humayun, Aniket Dashpute, Richard G. Baraniuk, Ashok Veeraraghavan, Guha Balakrishnan
Main Conference Track
VeLoRA: Memory Efficient Training using Rank-1 Sub-Token Projections Roy Miles, Pradyumna Reddy, Ismail Elezi, Jiankang Deng
Main Conference Track
Who’s Gaming the System? A Causally-Motivated Approach for Detecting Strategic Adaptation Trenton Chang, Lindsay Warrenburg, Sae-Hwan Park, Ravi B. Parikh, Maggie Makar, Jenna Wiens
Main Conference Track
GLBench: A Comprehensive Benchmark for Graph with Large Language Models Yuhan Li, Peisong Wang, Xiao Zhu, Aochuan Chen, Haiyun Jiang, Deng Cai, Victor Wai Kin Chan, Jia Li
Datasets and Benchmarks Track
Interactive Deep Clustering via Value Mining Honglin Liu, Peng Hu, Changqing Zhang, Yunfan Li, Xi Peng
Main Conference Track
General Detection-based Text Line Recognition Raphael Baena, Syrine Kalleli, Mathieu Aubry
Main Conference Track
Identifying General Mechanism Shifts in Linear Causal Representations Tianyu Chen, Kevin Bello, Francesco Locatello, Bryon Aragam, Pradeep Ravikumar
Main Conference Track
Wasserstein Distributionally Robust Optimization through the Lens of Structural Causal Models and Individual Fairness Ahmad-Reza Ehyaei, Golnoosh Farnadi, Samira Samadi
Main Conference Track
Accurate and Steady Inertial Pose Estimation through Sequence Structure Learning and Modulation Yinghao Wu, Chaoran Wang, Lu Yin, Shihui Guo, Yipeng Qin
Main Conference Track
Approximated Orthogonal Projection Unit: Stabilizing Regression Network Training Using Natural Gradient Shaoqi Wang, Chunjie Yang, Siwei Lou
Main Conference Track
Beyond Prompts: Dynamic Conversational Benchmarking of Large Language Models David Castillo-Bolado, Joseph Davidson, Finlay Gray, Marek Rosa
Datasets and Benchmarks Track
InternLM-XComposer2-4KHD: A Pioneering Large Vision-Language Model Handling Resolutions from 336 Pixels to 4K HD Xiaoyi Dong, Pan Zhang, Yuhang Zang, Yuhang Cao, Bin Wang, Linke Ouyang, Songyang Zhang, Haodong Duan, Wenwei Zhang, Yining Li, Hang Yan, Yang Gao, Zhe Chen, Xinyue Zhang, Wei Li, Jingwen Li, Wenhai Wang, Kai Chen, Conghui He, Xingcheng Zhang, Jifeng Dai, Yu Qiao, Dahua Lin, Jiaqi Wang
Main Conference Track
IllumiNeRF: 3D Relighting Without Inverse Rendering Xiaoming Zhao, Pratul P. Srinivasan, Dor Verbin, Keunhong Park, Ricardo Martin-Brualla, Philipp Henzler
Main Conference Track
Genetic-guided GFlowNets for Sample Efficient Molecular Optimization Hyeonah Kim, Minsu Kim, Sanghyeok Choi, Jinkyoo Park
Main Conference Track
Slicing Vision Transformer for Flexible Inference Yitian Zhang, Huseyin Coskun, Xu Ma, Huan Wang, Ke Ma, Xi (Stephen) Chen, Derek Hao Hu, Yun Fu
Main Conference Track
Unleashing the Potential of the Diffusion Model in Few-shot Semantic Segmentation Muzhi Zhu, Yang Liu, Zekai Luo, Chenchen Jing, Hao Chen, Guangkai Xu, Xinlong Wang, Chunhua Shen
Main Conference Track
This Too Shall Pass: Removing Stale Observations in Dynamic Bayesian Optimization Anthony Bardou, Patrick Thiran, Giovanni Ranieri
Main Conference Track
Learning symmetries via weight-sharing with doubly stochastic tensors Putri A. van der Linden, Alejandro García-Castellanos, Sharvaree Vadgama, Thijs P. Kuipers, Erik J. Bekkers
Main Conference Track
Taming Diffusion Prior for Image Super-Resolution with Domain Shift SDEs Qinpeng Cui, Yixuan Liu, Xinyi Zhang, Qiqi Bao, Qingmin Liao, Li Wang, Tian Lu, Zicheng liu, Zhongdao Wang, Emad Barsoum
Main Conference Track
Improved Sample Complexity for Multiclass PAC Learning Steve Hanneke, Shay Moran, Qian Zhang
Main Conference Track
Online Estimation via Offline Estimation: An Information-Theoretic Framework Dylan J. Foster, Yanjun Han, Jian Qian, Alexander Rakhlin
Main Conference Track
HEMM: Holistic Evaluation of Multimodal Foundation Models Paul Pu Liang, Akshay Goindani, Talha Chafekar, Leena Mathur, Haofei Yu, Ruslan Salakhutdinov, Louis-Philippe Morency
Datasets and Benchmarks Track
Revisiting the Integration of Convolution and Attention for Vision Backbone Lei Zhu, Xinjiang Wang, Wayne Zhang, Rynson Lau
Main Conference Track
Embedding Trajectory for Out-of-Distribution Detection in Mathematical Reasoning Yiming Wang, Pei Zhang, Baosong Yang, Derek F. Wong, Zhuosheng Zhang, Rui Wang
Main Conference Track
RL on Incorrect Synthetic Data Scales the Efficiency of LLM Math Reasoning by Eight-Fold Amrith Setlur, Saurabh Garg, Xinyang (Young) Geng, Naman Garg, Virginia Smith, Aviral Kumar
Main Conference Track
Learning Formal Mathematics From Intrinsic Motivation Gabriel Poesia, David Broman, Nick Haber, Noah D. Goodman
Main Conference Track
Hollowed Net for On-Device Personalization of Text-to-Image Diffusion Models Wonguk Cho, Seokeon Choi, Debasmit Das, Matthias Reisser, Taesup Kim, Sungrack Yun, Fatih Porikli
Main Conference Track
LACIE: Listener-Aware Finetuning for Calibration in Large Language Models Elias Stengel-Eskin, Peter Hase, Mohit Bansal
Main Conference Track
Temporal Sentence Grounding with Relevance Feedback in Videos Jianfeng Dong, Xiaoman Peng, Daizong Liu, Xiaoye Qu, Xun Yang, Cuizhu Bao, Meng Wang
Main Conference Track
Revisiting Self-Supervised Heterogeneous Graph Learning from Spectral Clustering Perspective Yujie Mo, Zhihe Lu, Runpeng Yu, Xiaofeng Zhu, Xinchao Wang
Main Conference Track
Beyond Accuracy: Ensuring Correct Predictions With Correct Rationales Tang Li, Mengmeng Ma, Xi Peng
Main Conference Track
LinNet: Linear Network for Efficient Point Cloud Representation Learning Hao Deng, Kunlei Jing, Shengmei Cheng, Cheng Liu, Jiawei Ru, Jiang Bo, Lin Wang
Main Conference Track
Mean-Field Analysis for Learning Subspace-Sparse Polynomials with Gaussian Input Ziang Chen, Rong Ge
Main Conference Track
Exploiting Activation Sparsity with Dense to Dynamic-k Mixture-of-Experts Conversion Filip Szatkowski, Bartosz Wójcik, Mikołaj Piórczyński, Simone Scardapane
Main Conference Track
TinyTTA: Efficient Test-time Adaptation via Early-exit Ensembles on Edge Devices Hong Jia, Young D. Kwon, Alessio Orsino, Ting Dang, Domenico Talia, Cecilia Mascolo
Main Conference Track
DASH: Warm-Starting Neural Network Training in Stationary Settings without Loss of Plasticity Baekrok Shin, Junsoo Oh, Hanseul Cho, Chulhee Yun
Main Conference Track
Initializing Variable-sized Vision Transformers from Learngene with Learnable Transformation Shiyu Xia, Yuankun Zu, Xu Yang, Xin Geng
Main Conference Track
Sketchy Moment Matching: Toward Fast and Provable Data Selection for Finetuning Yijun Dong, Hoang Phan, Xiang Pan, Qi Lei
Main Conference Track
$\texttt{pfl-research}$: simulation framework for accelerating research in Private Federated Learning Filip Granqvist, Congzheng Song, Áine Cahill, Rogier van Dalen, Martin Pelikan, Yi Sheng Chan, Xiaojun Feng, Natarajan Krishnaswami, Vojta Jina, Mona Chitnis
Datasets and Benchmarks Track
QUEEN: QUantized Efficient ENcoding of Dynamic Gaussians for Streaming Free-viewpoint Videos Sharath Girish, Tianye Li, Amrita Mazumdar, Abhinav Shrivastava, David Luebke, Shalini De Mello
Main Conference Track
A General Protocol to Probe Large Vision Models for 3D Physical Understanding Guanqi Zhan, Chuanxia Zheng, Weidi Xie, Andrew Zisserman
Main Conference Track
Are nuclear masks all you need for improved out-of-domain generalisation? A closer look at cancer classification in histopathology Dhananjay Tomar, Alexander Binder, Andreas Kleppe
Main Conference Track
Evaluating Multiview Object Consistency in Humans and Image Models Tyler Bonnen, Stephanie Fu, Yutong Bai, Thomas O'Connell, Yoni Friedman, Nancy Kanwisher, Joshua B. Tenenbaum, Alexei A. Efros
Datasets and Benchmarks Track
WaveAttack: Asymmetric Frequency Obfuscation-based Backdoor Attacks Against Deep Neural Networks Jun Xia, Zhihao Yue, Yingbo Zhou, Zhiwei Ling, Yiyu Shi, Xian Wei, Mingsong Chen
Main Conference Track
ReEvo: Large Language Models as Hyper-Heuristics with Reflective Evolution Haoran Ye, Jiarui Wang, Zhiguang Cao, Federico Berto, Chuanbo Hua, Haeyeon Kim, Jinkyoo Park, Guojie Song
Main Conference Track
Optimal-state Dynamics Estimation for Physics-based Human Motion Capture from Videos Cuong Le, Viktor Johansson, Manon Kok, Bastian Wandt
Main Conference Track
A Simple Remedy for Dataset Bias via Self-Influence: A Mislabeled Sample Perspective Yeonsung Jung, Jaeyun Song, June Yong Yang, Jin-Hwa Kim, Sung-Yub Kim, Eunho Yang
Main Conference Track
DiffPO: A causal diffusion model for learning distributions of potential outcomes Yuchen Ma, Valentyn Melnychuk, Jonas Schweisthal, Stefan Feuerriegel
Main Conference Track
(FL)$^2$: Overcoming Few Labels in Federated Semi-Supervised Learning Seungjoo Lee, Thanh-Long V. Le, Jaemin Shin, Sung-Ju Lee
Main Conference Track
ChaosBench: A Multi-Channel, Physics-Based Benchmark for Subseasonal-to-Seasonal Climate Prediction Juan Nathaniel, Yongquan Qu, Tung Nguyen, Sungduk Yu, Julius Busecke, Aditya Grover, Pierre Gentine
Datasets and Benchmarks Track
Policy Improvement using Language Feedback Models Victor Zhong, Dipendra Misra, Xingdi Yuan, Marc-Alexandre Côté
Main Conference Track
RAMP: Boosting Adversarial Robustness Against Multiple $l_p$ Perturbations for Universal Robustness Enyi Jiang, Gagandeep Singh
Main Conference Track
Self-Supervised Adversarial Training via Diverse Augmented Queries and Self-Supervised Double Perturbation Ruize Zhang, Sheng Tang, Juan Cao
Main Conference Track
XLand-MiniGrid: Scalable Meta-Reinforcement Learning Environments in JAX Alexander Nikulin, Vladislav Kurenkov, Ilya Zisman, Artem Agarkov, Viacheslav Sinii, Sergey Kolesnikov
Datasets and Benchmarks Track
Causal Effect Identification in a Sub-Population with Latent Variables Amir Mohammad Abouei, Ehsan Mokhtarian, Negar Kiyavash, Matthias Grossglauser
Main Conference Track
Generating compositional scenes via Text-to-image RGBA Instance Generation Alessandro Fontanella, Petru-Daniel Tudosiu, Yongxin Yang, Shifeng Zhang, Sarah Parisot
Main Conference Track
Tight Rates for Bandit Control Beyond Quadratics Y. Jennifer Sun, Zhou Lu
Main Conference Track
DEX: Data Channel Extension for Efficient CNN Inference on Tiny AI Accelerators Taesik Gong, Fahim Kawsar, Chulhong Min
Main Conference Track
Out-of-Distribution Detection with a Single Unconditional Diffusion Model Alvin Heng, Alexandre H. Thiery, Harold Soh
Main Conference Track
When are dynamical systems learned from time series data statistically accurate? Jeongjin (Jayjay) Park, Nicole Tianjiao Yang, Nisha Chandramoorthy
Main Conference Track
Generative Adversarial Model-Based Optimization via Source Critic Regularization Michael S. Yao, Yimeng Zeng, Hamsa Bastani, Jacob Gardner, James C. Gee, Osbert Bastani
Main Conference Track
Aligning Target-Aware Molecule Diffusion Models with Exact Energy Optimization Siyi Gu, Minkai Xu, Alexander Powers, Weili Nie, Tomas Geffner, Karsten Kreis, Jure Leskovec, Arash Vahdat, Stefano Ermon
Main Conference Track
OTTER: Effortless Label Distribution Adaptation of Zero-shot Models Changho Shin, Jitian Zhao, Sonia Cromp, Harit Vishwakarma, Frederic Sala
Main Conference Track
A Closer Look at AUROC and AUPRC under Class Imbalance Matthew B. McDermott, Haoran Zhang, Lasse Hyldig Hansen, Giovanni Angelotti, Jack Gallifant
Main Conference Track
SCRREAM : SCan, Register, REnder And Map: A Framework for Annotating Accurate and Dense 3D Indoor Scenes with a Benchmark HyunJun Jung, Weihang Li, Shun-Cheng Wu, William Bittner, Nikolas Brasch, Jifei Song, Eduardo Pérez-Pellitero, Zhensong Zhang, Arthur Moreau, Nassir Navab, Benjamin Busam
Datasets and Benchmarks Track
The GAN is dead; long live the GAN! A Modern GAN Baseline Yiwen Huang, Aaron Gokaslan, Volodymyr Kuleshov, James Tompkin
Main Conference Track
Amortized Active Causal Induction with Deep Reinforcement Learning Yashas Annadani, Panagiotis Tigas, Stefan Bauer, Adam Foster
Main Conference Track
Long-range Meta-path Search on Large-scale Heterogeneous Graphs Chao Li, Zijie Guo, Qiuting He, Kun He
Main Conference Track
A Single-Step, Sharpness-Aware Minimization is All You Need to Achieve Efficient and Accurate Sparse Training Jie Ji, Gen Li, Jingjing Fu, Fatemeh Afghah, Linke Guo, Xiaoyong Yuan, Xiaolong Ma
Main Conference Track
Generalized Eigenvalue Problems with Generative Priors Zhaoqiang Liu, Wen Li, Junren Chen
Main Conference Track
Easy2Hard-Bench: Standardized Difficulty Labels for Profiling LLM Performance and Generalization Mucong Ding, Chenghao Deng, Jocelyn Choo, Zichu Wu, Aakriti Agrawal, Avi Schwarzschild, Tianyi Zhou, Tom Goldstein, John Langford, Anima Anandkumar, Furong Huang
Datasets and Benchmarks Track
MALT Powers Up Adversarial Attacks Odelia Melamed, Gilad Yehudai, Adi Shamir
Main Conference Track
Multi-Object Hallucination in Vision Language Models Xuweiyi Chen, Ziqiao Ma, Xuejun Zhang, Sihan Xu, Jianing Yang, David F. Fouhey, Joyce Chai, Shengyi Qian
Main Conference Track
Diffusing Differentiable Representations Yash Savani, Marc Finzi, J. Zico Kolter
Main Conference Track
Implicit Regularization of Sharpness-Aware Minimization for Scale-Invariant Problems Bingcong Li, Liang Zhang, Niao He
Main Conference Track
Reimagining Mutual Information for Enhanced Defense against Data Leakage in Collaborative Inference Lin Duan, Jingwei Sun, Jinyuan Jia, Yiran Chen, Maria Gorlatova
Main Conference Track
Simplifying Constraint Inference with Inverse Reinforcement Learning Adriana Hugessen, Harley Wiltzer, Glen Berseth
Main Conference Track
Constrained Human-AI Cooperation: An Inclusive Embodied Social Intelligence Challenge Weihua Du, Qiushi Lyu, Jiaming Shan, Zhenting Qi, Hongxin Zhang, Sunli Chen, Andi Peng, Tianmin Shu, Kwonjoon Lee, Behzad Dariush, Chuang Gan
Datasets and Benchmarks Track
Temporally Consistent Atmospheric Turbulence Mitigation with Neural Representations Haoming Cai, Jingxi Chen, Brandon Y. Feng, Weiyun Jiang, Mingyang Xie, Kevin Zhang, Cornelia Fermuller, Yiannis Aloimonos, Ashok Veeraraghavan, Christopher A. Metzler
Main Conference Track
Parameter-free Clipped Gradient Descent Meets Polyak Yuki Takezawa, Han Bao, Ryoma Sato, Kenta Niwa, Makoto Yamada
Main Conference Track
Acoustic Volume Rendering for Neural Impulse Response Fields Zitong Lan, Chenhao Zheng, Zhiwei Zheng, Mingmin Zhao
Main Conference Track
DOFEN: Deep Oblivious Forest ENsemble Kuan-Yu Chen, Ping-Han Chiang, Hsin-Rung Chou, Chih-Sheng Chen, Darby Tien-Hao Chang
Main Conference Track
Symbolic Regression with a Learned Concept Library Arya Grayeli, Atharva Sehgal, Omar Costilla-Reyes, Miles Cranmer, Swarat Chaudhuri
Main Conference Track
Learning to Embed Distributions via Maximum Kernel Entropy Oleksii Kachaiev, Stefano Recanatesi
Main Conference Track
Aligning Individual and Collective Objectives in Multi-Agent Cooperation Yang Li, Wenhao Zhang, Jianhong Wang, Shao Zhang, Yali Du, Ying Wen, Wei Pan
Main Conference Track
Is Programming by Example Solved by LLMs? Wen-Ding Li, Kevin Ellis
Main Conference Track
Referring Human Pose and Mask Estimation In the Wild Bo Miao, Mingtao Feng, Zijie Wu, Mohammed Bennamoun, Yongsheng Gao, Ajmal Mian
Main Conference Track
Be Confident in What You Know: Bayesian Parameter Efficient Fine-Tuning of Vision Foundation Models Deep Shankar Pandey, Spandan Pyakurel, Qi Yu
Main Conference Track
Meta-DT: Offline Meta-RL as Conditional Sequence Modeling with World Model Disentanglement Zhi Wang, Li Zhang, Wenhao Wu, Yuanheng Zhu, Dongbin Zhao, Chunlin Chen
Main Conference Track
Poisson Variational Autoencoder Hadi Vafaii, Dekel Galor, Jacob L. Yates
Main Conference Track
R$^2$-Gaussian: Rectifying Radiative Gaussian Splatting for Tomographic Reconstruction Ruyi Zha, Tao Jun Lin, Yuanhao Cai, Jiwen Cao, Yanhao Zhang, Hongdong Li
Main Conference Track
Data-faithful Feature Attribution: Mitigating Unobservable Confounders via Instrumental Variables Qiheng Sun, Haocheng Xia, Jinfei Liu
Main Conference Track
FreqBlender: Enhancing DeepFake Detection by Blending Frequency Knowledge Hanzhe Li, Jiaran Zhou, Yuezun Li, Baoyuan Wu, Bin Li, Junyu Dong
Main Conference Track
The Well: a Large-Scale Collection of Diverse Physics Simulations for Machine Learning Ruben Ohana, Michael McCabe, Lucas Meyer, Rudy Morel, Fruzsina J. Agocs, Miguel Beneitez, Marsha Berger, Blakesley Burkhart, Stuart B. Dalziel, Drummond B. Fielding, Daniel Fortunato, Jared A. Goldberg, Keiya Hirashima, Yan-Fei Jiang, Rich R. Kerswell, Suryanarayana Maddu, Jonah Miller, Payel Mukhopadhyay, Stefan S. Nixon, Jeff Shen, Romain Watteaux, Bruno Régaldo-Saint Blancard, François Rozet, Liam H. Parker, Miles Cranmer, Shirley Ho
Datasets and Benchmarks Track
Reliable Learning of Halfspaces under Gaussian Marginals Ilias Diakonikolas, Lisheng Ren, Nikos Zarifis
Main Conference Track
EM Distillation for One-step Diffusion Models Sirui Xie, Zhisheng Xiao, Diederik P. Kingma, Tingbo Hou, Ying Nian Wu, Kevin Murphy, Tim Salimans, Ben Poole, Ruiqi Gao
Main Conference Track
A Motion-aware Spatio-temporal Graph for Video Salient Object Ranking Hao Chen, Yufei Zhu, Yongjian Deng
Main Conference Track
An Accelerated Gradient Method for Convex Smooth Simple Bilevel Optimization Jincheng Cao, Ruichen Jiang, Erfan Yazdandoost Hamedani, Aryan Mokhtari
Main Conference Track
Large Scale Transfer Learning for Tabular Data via Language Modeling Josh Gardner, Juan C. Perdomo, Ludwig Schmidt
Main Conference Track
ControlMLLM: Training-Free Visual Prompt Learning for Multimodal Large Language Models Mingrui Wu, Xinyue Cai, Jiayi Ji, Jiale Li, Oucheng Huang, Gen Luo, Hao Fei, Guannan Jiang, Xiaoshuai Sun, Rongrong Ji
Main Conference Track
Continuous Spatiotemporal Events Decoupling through Spike-based Bayesian Computation Yajing Zheng, Jiyuan Zhang, Zhaofei Yu, Tiejun Huang
Main Conference Track
4Real: Towards Photorealistic 4D Scene Generation via Video Diffusion Models Heng Yu, Chaoyang Wang, Peiye Zhuang, Willi Menapace, Aliaksandr Siarohin, Junli Cao, László A Jeni, Sergey Tulyakov, Hsin-Ying Lee
Main Conference Track
Transferable Boltzmann Generators Leon Klein, Frank Noé
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Biologically Inspired Learning Model for Instructed Vision Roy Abel, Shimon Ullman
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Can Language Models Learn to Skip Steps? Tengxiao Liu, Qipeng Guo, Xiangkun Hu, Cheng Jiayang, Yue Zhang, Xipeng Qiu, Zheng Zhang
Main Conference Track
Learning Noisy Halfspaces with a Margin: Massart is No Harder than Random Gautam Chandrasekaran, Vasilis Kontonis, Konstantinos Stavropoulos, Kevin Tian
Main Conference Track
GraphCroc: Cross-Correlation Autoencoder for Graph Structural Reconstruction Shijin Duan, Ruyi Ding, Jiaxing He, Aidong Adam Ding, Yunsi Fei, Xiaolin Xu
Main Conference Track
Gradient-Free Methods for Nonconvex Nonsmooth Stochastic Compositional Optimization Zhuanghua Liu, Luo Luo, Bryan Kian Hsiang Low
Main Conference Track
A versatile informative diffusion model for single-cell ATAC-seq data generation and analysis Lei Huang, Lei Xiong, Na Sun, Zunpeng Liu, Ka-Chun Wong, Manolis Kellis
Main Conference Track
Dual-frame Fluid Motion Estimation with Test-time Optimization and Zero-divergence Loss Yifei Zhang, Huan-ang Gao, Zhou Jiang, Hao Zhao
Main Conference Track
Enhancing Domain Adaptation through Prompt Gradient Alignment Hoang Phan, Lam Tran, Quyen Tran, Trung Le
Main Conference Track
From Instance Training to Instruction Learning: Task Adapters Generation from Instructions Huanxuan Liao, Shizhu He, Yao Xu, Yuanzhe Zhang, Yanchao Hao, Shengping Liu, Kang Liu, Jun Zhao
Main Conference Track
Flaws can be Applause: Unleashing Potential of Segmenting Ambiguous Objects in SAM Chenxin Li, Yuzhi Huang, Wuyang Li, Hengyu Liu, Xinyu Liu, Qing Xu, Zhen Chen, Yue Huang, Yixuan Yuan
Main Conference Track
HairFastGAN: Realistic and Robust Hair Transfer with a Fast Encoder-Based Approach Maxim Nikolaev, Mikhail Kuznetsov, Dmitry Vetrov, Aibek Alanov
Main Conference Track
Adaptive Important Region Selection with Reinforced Hierarchical Search for Dense Object Detection Dingrong Wang, Hitesh Sapkota, Qi Yu
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PLIP: Language-Image Pre-training for Person Representation Learning Jialong Zuo, Jiahao Hong, Feng Zhang, Changqian Yu, Hanyu Zhou, Changxin Gao, Nong Sang, Jingdong Wang
Main Conference Track
DEL: Discrete Element Learner for Learning 3D Particle Dynamics with Neural Rendering Jiaxu Wang, Jingkai Sun, Junhao He, Ziyi Zhang, Qiang Zhang, Mingyuan Sun, Renjing Xu
Main Conference Track
In-N-Out: Lifting 2D Diffusion Prior for 3D Object Removal via Tuning-Free Latents Alignment Dongting Hu, Huan Fu, Jiaxian Guo, Liuhua Peng, Tingjin Chu, Feng Liu, Tongliang Liu, Mingming Gong
Main Conference Track
Are More LLM Calls All You Need? Towards the Scaling Properties of Compound AI Systems Lingjiao Chen, Jared Davis, Boris Hanin, Peter Bailis, Ion Stoica, Matei Zaharia, James Zou
Main Conference Track
Federated Transformer: Multi-Party Vertical Federated Learning on Practical Fuzzily Linked Data Zhaomin Wu, Junyi Hou, Yiqun Diao, Bingsheng He
Main Conference Track
MMSite: A Multi-modal Framework for the Identification of Active Sites in Proteins Song Ouyang, Huiyu Cai, Yong Luo, Kehua Su, Lefei Zhang, Bo Du
Main Conference Track
Questioning the Survey Responses of Large Language Models Ricardo Dominguez-Olmedo, Moritz Hardt, Celestine Mendler-Dünner
Main Conference Track
DHA: Learning Decoupled-Head Attention from Transformer Checkpoints via Adaptive Heads Fusion Yilong Chen, Linhao Zhang, Junyuan Shang, Zhenyu Zhang, Tingwen Liu, Shuohuan Wang, Yu Sun
Main Conference Track
Connectivity Shapes Implicit Regularization in Matrix Factorization Models for Matrix Completion Zhiwei Bai, Jiajie Zhao, Yaoyu Zhang
Main Conference Track
Diversify, Contextualize, and Adapt: Efficient Entropy Modeling for Neural Image Codec Jun-Hyuk Kim, Seungeon Kim, Won-Hee Lee, Dokwan Oh
Main Conference Track
Goal-Conditioned On-Policy Reinforcement Learning Xudong Gong, Dawei Feng, Kele Xu, Bo Ding, Huaimin Wang
Main Conference Track
Scribbles for All: Benchmarking Scribble Supervised Segmentation Across Datasets Wolfgang Boettcher, Lukas Hoyer, Ozan Unal, Jan Eric Lenssen, Bernt Schiele
Datasets and Benchmarks Track
FlowLLM: Flow Matching for Material Generation with Large Language Models as Base Distributions Anuroop Sriram, Benjamin Kurt Miller, Ricky T. Q. Chen, Brandon M. Wood
Main Conference Track
Training Dynamics of Transformers to Recognize Word Co-occurrence via Gradient Flow Analysis Hongru Yang, Bhavya Kailkhura, Zhangyang Wang, Yingbin Liang
Main Conference Track
BELM: Bidirectional Explicit Linear Multi-step Sampler for Exact Inversion in Diffusion Models Fangyikang Wang, Hubery Yin, Yuejiang Dong, Huminhao Zhu, Chao Zhang, Hanbin Zhao, Hui Qian, Chen Li
Main Conference Track
Learning to Understand: Identifying Interactions via the Möbius Transform Justin Singh Kang, Yigit Efe Erginbas, Landon Butler, Ramtin Pedarsani, Kannan Ramchandran
Main Conference Track
SparseLLM: Towards Global Pruning of Pre-trained Language Models Guangji Bai, Yijiang Li, Chen Ling, Kibaek Kim, Liang Zhao
Main Conference Track
Text-Aware Diffusion for Policy Learning Calvin Luo, Mandy He, Zilai Zeng, Chen Sun
Main Conference Track
Private Geometric Median Mahdi Haghifam, Thomas Steinke, Jonathan Ullman
Main Conference Track
Goal Conditioned Reinforcement Learning for Photo Finishing Tuning Jiarui Wu, Yujin Wang, Lingen Li, Fan Zhang, Tianfan Xue
Main Conference Track
A Benchmark Suite for Evaluating Neural Mutual Information Estimators on Unstructured Datasets Kyungeun Lee, Wonjong Rhee
Datasets and Benchmarks Track
Private and Personalized Frequency Estimation in a Federated Setting Amrith Setlur, Vitaly Feldman, Kunal Talwar
Main Conference Track
II-Bench: An Image Implication Understanding Benchmark for Multimodal Large Language Models Ziqiang Liu, Feiteng Fang, Xi Feng, Xinrun Du, Chenhao Zhang, Zekun Wang, Yuelin Bai, Qixuan Zhao, Liyang Fan, Chengguang Gan, Hongquan Lin, Jiaming Li, Yuansheng Ni, Haihong Wu, Yaswanth Narsupalli, Zhigang Zheng, Chengming Li, Xiping Hu, Ruifeng Xu, Xiaojun Chen, Min Yang, Jiaheng Liu, Ruibo Liu, Wenhao Huang, Ge Zhang, Shiwen Ni
Datasets and Benchmarks Track
How does Gradient Descent Learn Features --- A Local Analysis for Regularized Two-Layer Neural Networks Mo Zhou, Rong Ge
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Pipeline Parallelism with Controllable Memory Penghui Qi, Xinyi Wan, Nyamdavaa Amar, Min Lin
Main Conference Track
MARVEL: Multidimensional Abstraction and Reasoning through Visual Evaluation and Learning Yifan Jiang, Jiarui Zhang, Kexuan Sun, Zhivar Sourati, Kian Ahrabian, Kaixin Ma, Filip Ilievski, Jay Pujara
Datasets and Benchmarks Track
ReFIR: Grounding Large Restoration Models with Retrieval Augmentation Hang Guo, Tao Dai, Zhihao Ouyang, Taolin Zhang, Yaohua Zha, Bin Chen, Shu-tao Xia
Main Conference Track
Grounded Answers for Multi-agent Decision-making Problem through Generative World Model Zeyang Liu, Xinrui Yang, Shiguang Sun, Long Qian, Lipeng Wan, Xingyu Chen, Xuguang Lan
Main Conference Track
AlterMOMA: Fusion Redundancy Pruning for Camera-LiDAR Fusion Models with Alternative Modality Masking Shiqi Sun, Yantao Lu, Ning Liu, Bo Jiang, Jinchao Chen, Ying Zhang
Main Conference Track
Loss Landscape Characterization of Neural Networks without Over-Parametrization Rustem Islamov, Niccoló Ajroldi, Antonio Orvieto, Aurelien Lucchi
Main Conference Track
Gradient-based Discrete Sampling with Automatic Cyclical Scheduling Patrick Pynadath, Riddhiman Bhattacharya, Arun Hariharan, Ruqi Zhang
Main Conference Track
2D-OOB: Attributing Data Contribution Through Joint Valuation Framework Yifan Sun, Jingyan Shen, Yongchan Kwon
Main Conference Track
Zero-Shot Tokenizer Transfer Benjamin Minixhofer, Edoardo M. Ponti, Ivan Vulić
Main Conference Track
A Careful Examination of Large Language Model Performance on Grade School Arithmetic Hugh Zhang, Jeff Da, Dean Lee, Vaughn Robinson, Catherine Wu, Will Song, Tiffany Zhao, Pranav Raja, Charlotte Zhuang, Dylan Slack, Qin Lyu, Sean Hendryx, Russell Kaplan, Michele (Mike) Lunati, Summer Yue
Datasets and Benchmarks Track
Theoretical Analysis of Weak-to-Strong Generalization Hunter Lang, David Sontag, Aravindan Vijayaraghavan
Main Conference Track
Grasp as You Say: Language-guided Dexterous Grasp Generation Yi-Lin Wei, Jian-Jian Jiang, Chengyi Xing, Xian-Tuo Tan, Xiao-Ming Wu, Hao Li, Mark Cutkosky, Wei-Shi Zheng
Main Conference Track
RGFN: Synthesizable Molecular Generation Using GFlowNets Michał Koziarski, Andrei Rekesh, Dmytro Shevchuk, Almer van der Sloot, Piotr Gaiński, Yoshua Bengio, Cheng-Hao Liu, Mike Tyers, Robert A. Batey
Main Conference Track
Exploring Molecular Pretraining Model at Scale Xiaohong Ji, Zhen Wang, Zhifeng Gao, Hang Zheng, Linfeng Zhang, Guolin Ke, Weinan E
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Model Collapse Demystified: The Case of Regression Elvis Dohmatob, Yুনzhen Feng, Julia Kempe
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Metric Transforms and Low Rank Representations of Kernels for Fast Attention Timothy Chu, Josh Alman, Gary Miller, Shyam Narayanan, Mark Sellke, Zhao Song
Main Conference Track
Generalizable Person Re-identification via Balancing Alignment and Uniformity Yoonki Cho, Jaeyoon Kim, Woo Jae Kim, Junsik Jung, Sung-Eui Yoon
Main Conference Track
WildTeaming at Scale: From In-the-Wild Jailbreaks to (Adversarially) Safer Language Models Liwei Jiang, Kavel Rao, Seungju Han, Allyson Ettinger, Faeze Brahman, Sachin Kumar, Niloofar Mireshghallah, Ximing Lu, Maarten Sap, Yejin Choi, Nouha Dziri
Main Conference Track
Cracking the Code of Juxtaposition: Can AI Models Understand the Humorous Contradictions Zhe Hu, Tuo Liang, Jing Li, Yiren Lu, Yunlai Zhou, Yiran Qiao, Jing Ma, Yu Yin
Main Conference Track
Controlling Continuous Relaxation for Combinatorial Optimization Yuma Ichikawa
Main Conference Track
Reinforced Cross-Domain Knowledge Distillation on Time Series Data Qing Xu, Min Wu, Xiaoli Li, Kezhi Mao, Zhenghua Chen
Main Conference Track
3DET-Mamba: Causal Sequence Modelling for End-to-End 3D Object Detection Mingsheng Li, Jiakang Yuan, Sijin Chen, Lin Zhang, Anyu Zhu, Xin Chen, Tao Chen
Main Conference Track
DisCEdit: Model Editing by Identifying Discriminative Components Chaitanya Murti, Chiranjib Bhattacharyya
Main Conference Track
Prompt Tuning Strikes Back: Customizing Foundation Models with Low-Rank Prompt Adaptation Abhinav Jain, Swarat Chaudhuri, Thomas Reps, Chris Jermaine
Main Conference Track
SEA: State-Exchange Attention for High-Fidelity Physics Based Transformers Parsa Esmati, Amirhossein Dadashzadeh, Vahid Goodarzi Ardakani, Nicolas Larrosa, Nicolò Grilli
Main Conference Track
ZSC-Eval: An Evaluation Toolkit and Benchmark for Multi-agent Zero-shot Coordination Xihuai Wang, Shao Zhang, Wenhao Zhang, Wentao Dong, Jingxiao Chen, Ying Wen, Weinan Zhang
Datasets and Benchmarks Track
Referencing Where to Focus: Improving Visual Grounding with Referential Query Yabing Wang, Zhuotao Tian, Qingpei Guo, Zheng Qin, Sanping Zhou, Ming Yang, Le Wang
Main Conference Track
Remove that Square Root: A New Efficient Scale-Invariant Version of AdaGrad Sayantan Choudhury, Nazarii Tupitsa, Nicolas Loizou, Samuel Horváth, Martin Takáč, Eduard Gorbunov
Main Conference Track
CausalStock: Deep End-to-end Causal Discovery for News-driven Multi-stock Movement Prediction Shuqi Li, Yuebo Sun, Yuxin Lin, Xin Gao, Shuo Shang, Rui Yan
Main Conference Track
Improved Distribution Matching Distillation for Fast Image Synthesis Tianwei Yin, Michaël Gharbi, Taesung Park, Richard Zhang, Eli Shechtman, Frédo Durand, William T. Freeman
Main Conference Track
Expert-level protocol translation for self-driving labs Yu-Zhe Shi, Fanxu Meng, Haofei Hou, Zhangqian Bi, Qiao Xu, Lecheng Ruan, Qining Wang
Main Conference Track
Satformer: Accurate and Robust Traffic Data Estimation for Satellite Networks Liang Qin, Xiyuan Liu, Wenting Wei, Chengbin Liang, Huaxi Gu
Main Conference Track
Generalized Tensor Decomposition for Understanding Multi-Output Regression under Combinatorial Shifts Andong Wang, Yuning Qiu, Mingyuan Bai, Zhong Jin, Guoxu Zhou, Qibin Zhao
Main Conference Track
Unleashing the Denoising Capability of Diffusion Prior for Solving Inverse Problems Jiawei Zhang, Jiaxin Zhuang, Cheng Jin, Gen Li, Yuantao Gu
Main Conference Track
Task Confusion and Catastrophic Forgetting in Class-Incremental Learning: A Mathematical Framework for Discriminative and Generative Modelings Milad Khademi Nori, II-Min Kim
Main Conference Track
Stepping on the Edge: Curvature Aware Learning Rate Tuners Vincent Roulet, Atish Agarwala, Jean-Bastien Grill, Grzegorz Swirszcz, Mathieu Blondel, Fabian Pedregosa
Main Conference Track
Do's and Don'ts: Learning Desirable Skills with Instruction Videos Hyunseung Kim, Byungkun Lee, Hojoon Lee, Dongyoon Hwang, Donghu Kim, Jaegul Choo
Main Conference Track
Towards Accurate and Fair Cognitive Diagnosis via Monotonic Data Augmentation Zheng Zhang, Wei Song, Qi Liu, Qingyang Mao, Yiyan Wang, Weibo Gao, Zhenya Huang, Shijin Wang, Enhong Chen
Main Conference Track
MAGNET: Improving the Multilingual Fairness of Language Models with Adaptive Gradient-Based Tokenization Orevaoghene Ahia, Sachin Kumar, Hila Gonen, Valentin Hofmann, Tomasz Limisiewicz, Yulia Tsvetkov, Noah A. Smith
Main Conference Track
Action Gaps and Advantages in Continuous-Time Distributional Reinforcement Learning Harley Wiltzer, Marc G. Bellemare, David Meger, Patrick Shafto, Yash Jhaveri
Main Conference Track
Does Egalitarian Fairness Lead to Instability? The Fairness Bounds in Stable Federated Learning Under Altruistic Behaviors Jiashi Gao, Ziwei Wang, Xiangyu Zhao, Xin Yao, Xuetao Wei
Main Conference Track
Counterfactual Fairness by Combining Factual and Counterfactual Predictions Zeyu Zhou, Tianci Liu, Ruqi Bai, Jing Gao, Murat Kocaoglu, David I. Inouye
Main Conference Track
Does Video-Text Pretraining Help Open-Vocabulary Online Action Detection? Qingsong Zhao, Yi Wang, Jilan Xu, Yinan He, Zifan Song, Limin Wang, Yu Qiao, Cairong Zhao
Main Conference Track
Sample-efficient Bayesian Optimisation Using Known Invariances Theodore Brown, Alexandru Cioba, Ilija Bogunovic
Main Conference Track
Enhancing Consistency-Based Image Generation via Adversarialy-Trained Classification and Energy-Based Discrimination Shelly Golan, Roy Ganz, Michael Elad
Main Conference Track
Multi-view Masked Contrastive Representation Learning for Endoscopic Video Analysis Kai Hu, Ye Xiao, Yuan Zhang, Xieping Gao
Main Conference Track
WATT: Weight Average Test Time Adaptation of CLIP David Osowiechi, Mehrdad Noori, Gustavo A. Vargas Hakim, Moslem Yazdanpanah, Ali Bahri, Milad Cheraghalikhani, Sahar Dastani, Farzad Beizaee, Ismail Ben Ayed, Christian Desrosiers
Main Conference Track
ProbTS: Benchmarking Point and Distributional Forecasting across Diverse Prediction Horizons Jiawen Zhang, Xumeng Wen, Zhenwei Zhang, Shun Zheng, Jia Li, Jiang Bian
Datasets and Benchmarks Track
Taming Heavy-Tailed Losses in Adversarial Bandits and the Best-of-Both-Worlds Setting Duo Cheng, Xingyu Zhou, Bo Ji
Main Conference Track
Online Control with Adversarial Disturbance for Continuous-time Linear Systems Jingwei Li, Jing Dong, Can Chang, Baoxiang Wang, Jingzhao Zhang
Main Conference Track
Graph Neural Networks Do Not Always Oversmooth Bastian Epping, Alexandre René, Moritz Helias, Michael T. Schaub
Main Conference Track
HLM-Cite: Hybrid Language Model Workflow for Text-based Scientific Citation Prediction Qianyue Hao, Jingyang Fan, Fengli Xu, Jian Yuan, Yong Li
Main Conference Track
WildVision: Evaluating Vision-Language Models in the Wild with Human Preferences Yujie Lu, Dongfu Jiang, Wenhu Chen, William Yang Wang, Yejin Choi, Bill Yuchen Lin
Datasets and Benchmarks Track
Identification and Estimation of the Bi-Directional MR with Some Invalid Instruments Feng Xie, Zhen Yao, Lin Xie, Yan Zeng, Zhi Geng
Main Conference Track
STONE: A Submodular Optimization Framework for Active 3D Object Detection Ruiyu Mao, Sarthak Kumar Maharana, Rishabh K Iyer, Yunhui Guo
Main Conference Track
Estimating Generalization Performance Along the Trajectory of Proximal SGD in Robust Regression Kai Tan, Pierre C. Bellec
Main Conference Track
Learning Better Representations From Less Data For Propositional Satisfiability Mohamed Ghanem, Frederik Schmitt, Julian Siber, Bernd Finkbeiner
Main Conference Track
SARAD: Spatial Association-Aware Anomaly Detection and Diagnosis for Multivariate Time Series Zhihao Dai, Ligang He, Shuang-Hua Yang, Matthew Leeke
Main Conference Track
Decoupling Semantic Similarity from Spatial Alignment for Neural Networks. Tassilo Wald, Constantin Ulrich, Gregor Köhler, David Zimmerer, Stefan Denner, Michael Baumgartner, Fabian Isensee, Priyank Jain, Klaus H. Maier-Hein
Main Conference Track
Measuring Per-Unit Interpretability at Scale Without Humans Roland S. Zimmermann, David Klindt, Wieland Brendel
Main Conference Track
Efficient Recurrent Off-Policy RL Requires a Context-Encoder-Specific Learning Rate Fan-Ming Luo, Zuolin Tu, Zefang Huang, Yang Yu
Main Conference Track
Model Based Inference of Synaptic Plasticity Rules Yash Mehta, Danil Tyulmankov, Adithya E. Rajagopalan, Glenn C. Turner, James E. Fitzgerald, Jan Funke
Main Conference Track
Similarity-Navigated Conformal Prediction for Graph Neural Networks Jianqing Song, Jianguo Huang, Wenyu Jiang, Baoming Zhang, Shuangjie Li, Chongjun Wang
Main Conference Track
ReplaceAnything3D: Text-Guided Object Replacement in 3D Scenes with Compositional Scene Representations Edward Bartrum, Thu Nguyen-Phuoc, Chris Xie, Zhengqin Li, Numair Khan, Armen Avetisyan, Douglas Lanman, Lei Xiao
Main Conference Track
Divide-and-Conquer Predictive Coding: a structured Bayesian inference algorithm Eli Sennesh, Hao Wu, Tommaso Salvatori
Main Conference Track
Monomial Matrix Group Equivariant Neural Functional Networks Viet-Hoang Tran, Thieu N. Vo, Tho Tran-Huu, An T. Nguyen, Tan M. Nguyen
Main Conference Track
Error Analysis of Spherically Constrained Least Squares Reformulation in Solving the Stackelberg Prediction Game Xiyuan Li, Weiwei Liu
Main Conference Track
Nuclear Fusion Diamond Polishing Dataset Antonios Alexos, Junze Liu, Shashank Galla, Sean Hayes, Kshitij Bhardwaj, Alexander Schwartz, Monika Biener, Pierre Baldi, Satish Bukkapatnam, Suhas Bhandarkar
Datasets and Benchmarks Track
On the cohesion and separability of average-link for hierarchical agglomerative clustering Eduardo S. Laber, Miguel Batista
Main Conference Track
Block Transformer: Global-to-Local Language Modeling for Fast Inference Namgyu Ho, Sangmin Bae, Taehyeon Kim, Hyunjik Jo, Yireun Kim, Tal Schuster, Adam Fisch, James Thorne, Se-Young Yun
Main Conference Track
Linear Transformers are Versatile In-Context Learners Max Vladymyrov, Johannes von Oswald, Mark Sandler, Rong Ge
Main Conference Track
CountGD: Multi-Modal Open-World Counting Niki Amini-Naieni, Tengda Han, Andrew Zisserman
Main Conference Track
SimGen: Simulator-conditioned Driving Scene Generation Yunsong Zhou, Michael Simon, Zhenghao Peng, Sicheng Mo, Hongzi Zhu, Minyi Guo, Bolei Zhou
Main Conference Track
Decoding-Time Language Model Alignment with Multiple Objectives Ruizhe Shi, Yifang Chen, Yushi Hu, Alisa Liu, Hannaneh Hajishirzi, Noah A. Smith, Simon S. Du
Main Conference Track
SS1: Accelerating Inference with Fast and Expressive Sketch Structured Transform Kimia Saedi, Aditya Desai, Apoorv Walia, Jihyeong Lee, Keren Zhou, Anshumali Shrivastava
Main Conference Track
MiraData: A Large-Scale Video Dataset with Long Durations and Structured Captions Xuan Ju, Yiming Gao, Zhaoyang Zhang, Ziyang Yuan, Xintao Wang, Ailing Zeng, Yu Xiong, Qiang Xu, Ying Shan
Datasets and Benchmarks Track
FedGMark: Certifiably Robust Watermarking for Federated Graph Learning Yuxin Yang, Qiang Li, Yuan Hong, Binghui Wang
Main Conference Track
Learning Macroscopic Dynamics from Partial Microscopic Observations Mengyi Chen, Qianxiao Li
Main Conference Track
Spatio-Spectral Graph Neural Networks Simon Geisler, Arthur Kosmala, Daniel Herbst, Stephan Günnemann
Main Conference Track
On Mesa-Optimization in Autoregressively Trained Transformers: Emergence and Capability Chenyu Zheng, Wei Huang, Rongzhen Wang, Guoqiang Wu, Jun Zhu, Chongxuan Li
Main Conference Track
Enhancing Protein Mutation Effect Prediction through a Retrieval-Augmented Framework Ruihan Guo, Rui Wang, Ruidong Wu, Zhizhou Ren, Jiahan Li, Shitong Luo, Zuofan Wu, Qiang Liu, Jian Peng, Jianzhu Ma
Main Conference Track
Key-Grid: Unsupervised 3D Keypoints Detection using Grid Heatmap Features Chengkai Hou, Zhengrong Xue, Bingyang Zhou, Jinghan Ke, Lin Shao, Huazhe Xu
Main Conference Track
Active Learning of General Halfspaces: Label Queries vs Membership Queries Ilias Diakonikolas, Daniel M. Kane, Mingchen Ma
Main Conference Track
Intruding with Words: Towards Understanding Graph Injection Attacks at the Text Level Runlin Lei, Yuwei Hu, Yuchen Ren, Zhewei Wei
Main Conference Track
FlexPlanner: Flexible 3D Floorplanning via Deep Reinforcement Learning in Hybrid Action Space with Multi-Modality Representation Ruizhe Zhong, Xingbo Du, Shixiong Kai, Zhentao Tang, Siyuan Xu, Jianye Hao, Mingxuan Yuan, Junchi Yan
Main Conference Track
MultiTrust: A Comprehensive Benchmark Towards Trustworthy Multimodal Large Language Models Yichi Zhang, Yao Huang, Yitong Sun, Chang Liu, Zhe Zhao, Zhengwei Fang, Yifan Wang, Huanran Chen, Xiao Yang, Xingxing Wei, Hang Su, Yinpeng Dong, Jun Zhu
Datasets and Benchmarks Track
Learning to Shape In-distribution Feature Space for Out-of-distribution Detection Yonggang Zhang, Jie Lu, Bo Peng, Zhen Fang, Yiu-ming Cheung
Main Conference Track
RoleAgent: Building, Interacting, and Benchmarking High-quality Role-Playing Agents from Scripts Jiaheng Liu, Zehao Ni, Haoran Que, Tao Sun, Zekun Wang, Jian Yang, Jiakai Wang, Hongcheng Guo, Zhongyuan Peng, Ge Zhang, Jiayi Tian, Xingyuan Bu, Ke Xu, Wenge Rong, Junran Peng, Zhaoxiang Zhang
Datasets and Benchmarks Track
Equivariant Neural Diffusion for Molecule Generation François Cornet, Grigory Bartosh, Mikkel N. Schmidt, Christian A. Naesseth
Main Conference Track
SyncVIS: Synchronized Video Instance Segmentation Rongkun Zheng, Lu Qi, Xi Chen, Yi Wang, Kun Wang, Yu Qiao, Hengshuang Zhao
Main Conference Track
Gradients of Functions of Large Matrices Nicholas Krämer, Pablo Moreno-Muñoz, Hrittik Roy, Søren Hauberg
Main Conference Track
Personalized Steering of Large Language Models: Versatile Steering Vectors Through Bi-directional Preference Optimization Yuanpu Cao, Tianrong Zhang, Bochuan Cao, Ziyi Yin, Lu Lin, Fenglong Ma, Jinghui Chen
Main Conference Track
Achieving Domain-Independent Certified Robustness via Knowledge Continuity Alan Sun, Chiyu Ma, Kenneth Ge, Soroush Vosoughi
Main Conference Track
Monte Carlo Tree Search based Space Transfer for Black Box Optimization Shukuan Wang, Ke Xue, Lei Song, Xiaobin Huang, Chao Qian
Main Conference Track
Discovering Creative Behaviors through DUPLEX: Diverse Universal Features for Policy Exploration Borja G. Leon, Francesco Riccio, Kaushik Subramanian, Peter R. Wurman, Peter Stone
Main Conference Track
Efficient Centroid-Linkage Clustering MohammadHossein Bateni, Laxman Dhulipala, Willem Fletcher, Kishen N. Gowda, D Ellis Hershkowitz, Rajesh Jayaram, Jakub Łącki
Main Conference Track
Everyday Object Meets Vision-and-Language Navigation Agent via Backdoor Keji He, Kehan Chen, Jiawang Bai, Yan Huang, Qi Wu, Shu-Tao Xia, Liang Wang
Main Conference Track
The Art of Saying No: Contextual Noncompliance in Language Models Faeze Brahman, Sachin Kumar, Vidhisha Balachandran, Pradeep Dasigi, Valentina Pyatkin, Abhilasha Ravichander, Sarah Wiegreffe, Nouha Dziri, Khyathi Chandu, Jack Hessel, Yulia Tsvetkov, Noah A. Smith, Yejin Choi, Hannaneh Hajishirzi
Datasets and Benchmarks Track
OAM-TCD: A globally diverse dataset of high-resolution tree cover maps Josh Veitch-Michaelis, Andrew Cottam, Daniella Schweizer, Eben N. Broadbent, David Dao, Ce Zhang, Angelica Almeyda Zambrano, Simeon Max
Datasets and Benchmarks Track
Newswire: A Large-Scale Structured Database of a Century of Historical News Emily Silcock, Abhishek Arora, Luca D'Amico-Wong, Melissa Dell
Datasets and Benchmarks Track
GS-Hider: Hiding Messages into 3D Gaussian Splatting Xuanyu Zhang, Jiarui Meng, Runyi Li, Zhipei Xu, Yongbing Zhang, Jian Zhang
Main Conference Track
Rethinking Decoders for Transformer-based Semantic Segmentation: A Compression Perspective Qishuai Wen, Chun-Guang Li
Main Conference Track
LLMs Can Evolve Continually on Modality for $\mathbb{X}$-Modal Reasoning Jiazuo Yu, Haomiao Xiong, Lu Zhang, Haiwen Diao, Yunzhi Zhuge, Lanqing Hong, Dong Wang, Huchuan Lu, You He, Long Chen
Main Conference Track
DarkSAM: Fooling Segment Anything Model to Segment Nothing Ziqi Zhou, Yufei Song, Minghui Li, Shengshan Hu, Xianlong Wang, Leo Yu Zhang, Dezhong Yao, Hai Jin
Main Conference Track
Optimus-1: Hybrid Multimodal Memory Empowered Agents Excel in Long-Horizon Tasks Zaijing Li, Yuquan Xie, Rui Shao, Gongwei Chen, Dongmei Jiang, Liqiang Nie
Main Conference Track
Contextual Active Model Selection Xuefeng Liu, Fangfang Xia, Rick L. Stevens, Yuxin Chen
Main Conference Track
Learning Successor Features the Simple Way Raymond Chua, Arna Ghosh, Christos Kaplanis, Blake A. Richards, Doina Precup
Main Conference Track
Probabilistic size-and-shape functional mixed models Fangyi Wang, Karthik Bharath, Oksana Chkrebtii, Sebastian Kurtek
Main Conference Track
Diffusion Models are Certifiably Robust Classifiers Huanran Chen, Yinpeng Dong, Shitong Shao, Zhongkai Hao, Xiao Yang, Hang Su, Jun Zhu
Main Conference Track
Diffusion Policies Creating a Trust Region for Offline Reinforcement Learning Tianyu Chen, Zhendong Wang, Mingyuan Zhou
Main Conference Track
CA-SSLR: Condition-Aware Self-Supervised Learning Representation for Generalized Speech Processing Yen-Ju Lu, Jing Liu, Thomas Thebaud, Laureano Moro-Velazquez, Ariya Rastrow, Najim Dehak, Jesus Villalba
Main Conference Track
WebUOT-1M: Advancing Deep Underwater Object Tracking with A Million-Scale Benchmark Chunhui Zhang, Li Liu, Guanjie Huang, Hao Wen, Xi Zhou, Yanfeng Wang
Datasets and Benchmarks Track
Matryoshka Query Transformer for Large Vision-Language Models Wenbo Hu, Zi-Yi Dou, Liunian Harold Li, Amita Kamath, Nanyun Peng, Kai-Wei Chang
Main Conference Track
Interpolating Item and User Fairness in Multi-Sided Recommendations Qinyi Chen, Jason Cheuk Nam Liang, Negin Golrezaei, Djallel Bouneffouf
Main Conference Track
TFGDA: Exploring Topology and Feature Alignment in Semi-supervised Graph Domain Adaptation through Robust Clustering Jun Dan, Weiming Liu, Chunfeng Xie, Hua Yu, Shunjie Dong, Yanchao Tan
Main Conference Track
Towards Multi-Domain Learning for Generalizable Video Anomaly Detection MyeongAh Cho, Taeoh Kim, Minho Shim, Dongyoon Wee, Sangyoun Lee
Main Conference Track
GDeR: Safeguarding Efficiency, Balancing, and Robustness via Prototypical Graph Pruning Guibin Zhang, Haonan Dong, Yuchen Zhang, Zhixun Li, Dingshuo Chen, Kai Wang, Tianlong Chen, Yuxuan Liang, Dawei Cheng, Kun Wang
Main Conference Track
EMGBench: Benchmarking Out-of-Distribution Generalization and Adaptation for Electromyography Jehan Yang, Maxwell Soh, Vivianna Lieu, Douglas J Weber, Zackory Erickson
Datasets and Benchmarks Track
SpeechAlign: Aligning Speech Generation to Human Preferences Dong Zhang, Zhaowei Li, Shimin Li, Xin Zhang, Pengyu Wang, Yaqian Zhou, Xipeng Qiu
Main Conference Track
Gaussian Graph Network: Learning Efficient and Generalizable Gaussian Representations from Multi-view Images Shengjun Zhang, Xin Fei, Fangfu Liu, Haixu Song, Yueqi Duan
Main Conference Track
SETLEXSEM CHALLENGE: Using Set Operations to Evaluate the Lexical and Semantic Robustness of Language Models Bardiya Akhbari, Manish Gawali, Nicholas A. Dronen
Datasets and Benchmarks Track
Splatter a Video: Video Gaussian Representation for Versatile Processing Yang-Tian Sun, Yi-Hua Huang, Lin Ma, Xiaoyang Lyu, Yan-Pei Cao, Xiaojuan Qi
Main Conference Track
Approaching Human-Level Forecasting with Language Models Danny Halawi, Fred Zhang, Chen Yueh-Han, Jacob Steinhardt
Main Conference Track
HYDRA-FL: Hybrid Knowledge Distillation for Robust and Accurate Federated Learning Momin Ahmad Khan, Yasra Chandio, Fatima Muhammad Anwar
Main Conference Track
Selective Generation for Controllable Language Models Minjae Lee, Kyungmin Kim, Taesoo Kim, Sangdon Park
Main Conference Track
SWE-agent: Agent-Computer Interfaces Enable Automated Software Engineering John Yang, Carlos E. Jimenez, Alexander Wettig, Kilian Lieret, Shunyu Yao, Karthik Narasimhan, Ofir Press
Main Conference Track
Towards the Dynamics of a DNN Learning Symbolic Interactions Qihan Ren, Junpeng Zhang, Yang Xu, Yue Xin, Dongrui Liu, Quanshi Zhang
Main Conference Track
Communication Bounds for the Distributed Experts Problem Zhihao Jia, Qi Pang, Trung Tran, David Woodruff, Zhihao Zhang, Wenting Zheng
Main Conference Track
Déjà Vu Memorization in Vision–Language Models Bargav Jayaraman, Chuan Guo, Kamalika Chaudhuri
Main Conference Track
Noisy Ostracods: A Fine-Grained, Imbalanced Real-World Dataset for Benchmarking Robust Machine Learning and Label Correction Methods Jiamian Hu, Yuanyuan Hong, Yihua Chen, He Wang, Moriaki Yasuhara
Datasets and Benchmarks Track
ARC: A Generalist Graph Anomaly Detector with In-Context Learning Yixin Liu, Shiyuan Li, Yu Zheng, Qingfeng Chen, Chengqi Zhang, Shirui Pan
Main Conference Track
CTIBench: A Benchmark for Evaluating LLMs in Cyber Threat Intelligence Md Tanvirul Alam, Dipkamal Bhusal, Le Nguyen, Nidhi Rastogi
Datasets and Benchmarks Track
Exploiting Descriptive Completeness Prior for Cross Modal Hashing with Incomplete Labels Haoyang Luo, Zheng Zhang, Yadan Luo
Main Conference Track
Happy: A Debiased Learning Framework for Continual Generalized Category Discovery Shijie Ma, Fei Zhu, Zhun Zhong, Wenzhuo Liu, Xu-Yao Zhang, Cheng-Lin Liu
Main Conference Track
Predicting Future Actions of Reinforcement Learning Agents Stephen Chung, Scott Niekum, David Krueger
Main Conference Track
MMScan: A Multi-Modal 3D Scene Dataset with Hierarchical Grounded Language Annotations Ruiyuan Lyu, Jingli Lin, Tai Wang, Shuai Yang, Xiaohan Mao, Yilun Chen, Runsen Xu, Haifeng Huang, Chenming Zhu, Dahua Lin, Jiangmiao Pang
Datasets and Benchmarks Track
JaxMARL: Multi-Agent RL Environments and Algorithms in JAX Alexander Rutherford, Benjamin Ellis, Matteo Gallici, Jonathan Cook, Andrei Lupu, Garðar Ingvarsson, Timon Willi, Ravi Hammond, Akbir Khan, Christian Schroeder de Witt, Alexandra Souly, Saptarashmi Bandyopadhyay, Mikayel Samvelyan, Minqi Jiang, Robert Lange, Shimon Whiteson, Bruno Lacerda, Nick Hawes, Tim Rocktäschel, Chris Lu, Jakob Foerster
Datasets and Benchmarks Track
Exploring Token Pruning in Vision State Space Models Zheng Zhan, Zhenglun Kong, Yifan Gong, Yushu Wu, Zichong Meng, Hangyu Zheng, Xuan Shen, Stratis Ioannidis, Wei Niu, Pu Zhao, Yanzhi Wang
Main Conference Track
Benchmarking Uncertainty Disentanglement: Specialized Uncertainties for Specialized Tasks Bálint Mucsányi, Michael Kirchhof, Seong Joon Oh
Datasets and Benchmarks Track
ShowMaker: Creating High-Fidelity 2D Human Video via Fine-Grained Diffusion Modeling Quanwei Yang, Jiazhi Guan, Kaisiyuan Wang, Lingyun Yu, Wenqing Chu, Hang Zhou, Zhiqiang Feng, Haocheng Feng, Errui Ding, Jingdong Wang, Hongtao Xie
Main Conference Track
HEPrune: Fast Private Training of Deep Neural Networks With Encrypted Data Pruning Yancheng Zhang, Mengxin Zheng, Yuzhang Shang, Xun Chen, Qian Lou
Main Conference Track
dopanim: A Dataset of Doppelganger Animals with Noisy Annotations from Multiple Humans Marek Herde, Denis Huseljic, Lukas Rauch, Bernhard Sick
Datasets and Benchmarks Track
Easy-to-Hard Generalization: Scalable Alignment Beyond Human Supervision Zhiqing Sun, Longhui Yu, Yikang Shen, Weiyang Liu, Yiming Yang, Sean Welleck, Chuang Gan
Main Conference Track
Fast TRAC: A Parameter-Free Optimizer for Lifelong Reinforcement Learning Aneesh Muppidi, Zhiyu Zhang, Heng Yang
Main Conference Track
Incentivizing Quality Text Generation via Statistical Contracts Eden Saig, Ohad Einav, Inbal Talgam-Cohen
Main Conference Track
Practical $0.385$-Approximation for Submodular Maximization Subject to a Cardinality Constraint Murad Tukan, Loay Mualem, Moran Feldman
Main Conference Track
Fast Proxy Experiment Design for Causal Effect Identification Sepehr Elahi, Sina Akbari, Jalal Etesami, Negar Kiyavash, Patrick Thiran
Main Conference Track
Dealing with Synthetic Data Contamination in Online Continual Learning Maorong Wang, Nicolas Michel, Jiafeng Mao, Toshihiko Yamasaki
Main Conference Track
Recognize Any Regions Haosen Yang, Chuofan Ma, Bin Wen, Yi Jiang, Zehuan Yuan, Xiatian Zhu
Main Conference Track
SAMPa: Sharpness-aware Minimization Parallelized Wanyun Xie, Thomas Pethick, Volkan Cevher
Main Conference Track
WenMind: A Comprehensive Benchmark for Evaluating Large Language Models in Chinese Classical Literature and Language Arts Jiahuan Cao, Yang Liu, Yongxin Shi, Kai Ding, Lianwen Jin
Datasets and Benchmarks Track
Continuous Contrastive Learning for Long-Tailed Semi-Supervised Recognition Zi-Hao Zhou, Siyuan Fang, Zi-Jing Zhou, Tong Wei, Yuanyu Wan, Min-Ling Zhang
Main Conference Track
Doubly Mild Generalization for Offline Reinforcement Learning Yixiu Mao, Qi Wang, Yun Qu, Yuhang Jiang, Xiangyang Ji
Main Conference Track
Is Mamba Compatible with Trajectory Optimization in Offline Reinforcement Learning? Yang Dai, Oubo Ma, Longfei Zhang, Xingxing Liang, Shengchao Hu, Mengzhu Wang, Shouling Ji, Jincai Huang, Li Shen
Main Conference Track
Calibrated Self-Rewarding Vision Language Models Yiyang Zhou, Zhiyuan Fan, Dongjie Cheng, Sihan Yang, Zhaorun Chen, Chenhang Cui, Xiyao Wang, Yun Li, Linjun Zhang, Huaxiu Yao
Main Conference Track
ContextGS : Compact 3D Gaussian Splatting with Anchor Level Context Model Yufei Wang, Zhihao Li, Lanqing Guo, Wenhan Yang, Alex C. Kot, Bihan Wen
Main Conference Track
Advancing Cross-domain Discriminability in Continual Learning of Vision-Language Models Yicheng Xu, Yuxin Chen, Jiahao Nie, Yusong Wang, Huiping Zhuang, Manabu Okumura
Main Conference Track
DG-SLAM: Robust Dynamic Gaussian Splatting SLAM with Hybrid Pose Optimization Yueming Xu, Haochen Jiang, Zhongyang Xiao, Jianfeng Feng, Li Zhang
Main Conference Track
KOALA: Empirical Lessons Toward Memory-Efficient and Fast Diffusion Models for Text-to-Image Synthesis Youngwan Lee, Kwanyong Park, Yoorhim Cho, Yong-Ju Lee, Sung Ju Hwang
Main Conference Track
In Pursuit of Causal Label Correlations for Multi-label Image Recognition Zhao-Min Chen, Xin Jin, Yisu Ge, Sixian Chan
Main Conference Track
NeuroClips: Towards High-fidelity and Smooth fMRI-to-Video Reconstruction Zixuan Gong, Guangyin Bao, Qi Zhang, Zhongwei Wan, Duoqian Miao, Shoujin Wang, Lei Zhu, Changwei Wang, Rongtao Xu, Liang Hu, Ke Liu, Yu Zhang
Main Conference Track
Active Classification with Few Queries under Misspecification Vasilis Kontonis, Mingchen Ma, Christos Tzamos
Main Conference Track
EnOF-SNN: Training Accurate Spiking Neural Networks via Enhancing the Output Feature Yufei Guo, Weihang Peng, Xiaode Liu, Yuanpei Chen, Yuhan Zhang, Xin Tong, Zhou Jie, Zhe Ma
Main Conference Track
Why are Visually-Grounded Language Models Bad at Image Classification? Yuhui Zhang, Alyssa Unell, Xiaohan Wang, Dhruba Ghosh, Yuchang Su, Ludwig Schmidt, Serena Yeung-Levy
Main Conference Track
Association of Objects May Engender Stereotypes: Mitigating Association-Engendered Stereotypes in Text-to-Image Generation Junlei Zhou, Jiashi Gao, Xiangyu Zhao, Xin Yao, Xuetao Wei
Main Conference Track
Stochastic Concept Bottleneck Models Moritz Vandenhirtz, Sonia Laguna, Ričards Marcinkevičs, Julia E. Vogt
Main Conference Track
Stealth edits to large language models Oliver J. Sutton, Qinghua Zhou, Wei Wang, Desmond J. Higham, Alexander N. Gorban, Alexander Bastounis, Ivan Y. Tyukin
Main Conference Track
Rejection via Learning Density Ratios Alexander Soen, Hisham Husain, Philip Schulz, Vu Nguyen
Main Conference Track
The Many Faces of Optimal Weak-to-Strong Learning Mikael Møller Høgsgaard, Kasper Green Larsen, Markus Engelund Mathiasen
Main Conference Track
Vision Mamba Mender Jiacong Hu, Anda Cao, Zunlei Feng, Shengxuming Zhang, Yi Wang, Lingxiang Jia, Mingli Song
Main Conference Track
Online Non-convex Learning in Dynamic Environments Zhipan Xu, Lijun Zhang
Main Conference Track
MAGIS: LLM-Based Multi-Agent Framework for GitHub Issue Resolution Wei Tao, Yucheng Zhou, Yanlin Wang, Wenqiang Zhang, Hongyu Zhang, Yu Cheng
Main Conference Track
U-DiTs: Downsample Tokens in U-Shaped Diffusion Transformers Yuchuan Tian, Zhijun Tu, Hanting Chen, Jie Hu, Chao Xu, Yunhe Wang
Main Conference Track
Generalize or Detect? Towards Robust Semantic Segmentation Under Multiple Distribution Shifts Zhitong Gao, Bingnan Li, Mathieu Salzmann, Xuming He
Main Conference Track
OSWorld: Benchmarking Multimodal Agents for Open-Ended Tasks in Real Computer Environments Tianbao Xie, Danyang Zhang, Jixuan Chen, Xiaochuan Li, Siheng Zhao, Ruisheng Cao, Toh Jing Hua, Zhoujun Cheng, Dongchan Shin, Fangyu Lei, Yitao Liu, Yiheng Xu, Shuyan Zhou, Silvio Savarese, Caiming Xiong, Victor Zhong, Tao Yu
Datasets and Benchmarks Track
Equivariant spatio-hemispherical networks for diffusion MRI deconvolution Axel Elaldi, Guido Gerig, Neel Dey
Main Conference Track
Pandora's Box: Towards Building Universal Attackers against Real-World Large Vision-Language Models Daizong Liu, Mingyu Yang, Xiaoye Qu, Pan Zhou, Xiang Fang, Keke Tang, Yao Wan, Lichao Sun
Main Conference Track
Generalization Bounds via Conditional $f$-Information Ziqiao Wang, Yongyi Mao
Main Conference Track
Outlier-Robust Distributionally Robust Optimization via Unbalanced Optimal Transport Zifan Wang, Yi Shen, Michael M. Zavlanos, Karl H. Johansson
Main Conference Track
Separate and Reconstruct: Asymmetric Encoder-Decoder for Speech Separation Ui-Hyeop Shin, Sangyoun Lee, Taehan Kim, Hyung-Min Park
Main Conference Track
AudioMarkBench: Benchmarking Robustness of Audio Watermarking Hongbin Liu, Moyang Guo, Zhengyuan Jiang, Lun Wang, Neil Zhenqiang Gong
Datasets and Benchmarks Track
DeiSAM: Segment Anything with Deictic Prompting Hikaru Shindo, Manuel Brack, Gopika Sudhakaran, Devendra Singh Dhami, Patrick Schramowski, Kristian Kersting
Main Conference Track
E2E-MFD: Towards End-to-End Synchronous Multimodal Fusion Detection Jiaqing Zhang, Mingxiang Cao, Weiying Xie, Jie Lei, Daixun Li, Wenbo Huang, Yunsong Li, Xue Yang
Main Conference Track
AdvAD: Exploring Non-Parametric Diffusion for Imperceptible Adversarial Attacks Jin Li, Ziqiang He, Anwei Luo, Jian-Fang Hu, Z. Jane Wang, Xiangui Kang
Main Conference Track
REBEL: Reinforcement Learning via Regressing Relative Rewards Zhaolin Gao, Jonathan D. Chang, Wenhao Zhan, Owen Oertell, Gokul Swamy, Kianté Brantley, Thorsten Joachims, J. Andrew Bagnell, Jason D. Lee, Wen Sun
Main Conference Track
Predictive Attractor Models Ramy Mounir, Sudeep Sarkar
Main Conference Track
Improving Adaptivity via Over-Parameterization in Sequence Models Yicheng Li, Qian Lin
Main Conference Track
MInference 1.0: Accelerating Pre-filling for Long-Context LLMs via Dynamic Sparse Attention Huiqiang Jiang, Yucheng Li, Chengruidong Zhang, Qianhui Wu, Xufang Luo, Surin Ahn, Zhenhua Han, Amir H. Abdi, Dongsheng Li, Chin-Yew Lin, Yuqing Yang, Lili Qiu
Main Conference Track
Personalizing Reinforcement Learning from Human Feedback with Variational Preference Learning Sriyash Poddar, Yanming Wan, Hamish Ivison, Abhishek Gupta, Natasha Jaques
Main Conference Track
Unveiling Encoder-Free Vision-Language Models Haiwen Diao, Yufeng Cui, Xiaotong Li, Yueze Wang, Huchuan Lu, Xinlong Wang
Main Conference Track
Density-based User Representation using Gaussian Process Regression for Multi-interest Personalized Retrieval Haolun Wu, Ofer Meshi, Masrour Zoghi, Fernando Diaz, Xue Liu, Craig Boutilier, Maryam Karimzadehgan
Main Conference Track
Frequency-aware Generative Models for Multivariate Time Series Imputation Xinyu Yang, Yu Sun, Xiaojie Yuan, Xinyang Chen
Main Conference Track
Overfitting Behaviour of Gaussian Kernel Ridgeless Regression: Varying Bandwidth or Dimensionality Marko Medvedev, Gal Vardi, Nathan Srebro
Main Conference Track
Empowering and Assessing the Utility of Large Language Models in Crop Science Hang Zhang, Jiawei Sun, Renqi Chen, Wei Liu, Zhonghang Yuan, Xinzhe Zheng, Zhefan Wang, Zhiyuan Yang, Hang Yan, Hansen Zhong, Xiqing Wang, Wanli Ouyang, Fan Yang, Nanqing Dong
Datasets and Benchmarks Track
Toward Self-Improvement of LLMs via Imagination, Searching, and Criticizing Ye Tian, Baolin Peng, Linfeng Song, Lifeng Jin, Dian Yu, Lei Han, Haitao Mi, Dong Yu
Main Conference Track
A Theory of Optimistically Universal Online Learnability for General Concept Classes Steve Hanneke, Hongao Wang
Main Conference Track
Belief-State Query Policies for User-Aligned POMDPs Daniel Bramblett, Siddharth Srivastava
Main Conference Track
Adversarially Trained Weighted Actor-Critic for Safe Offline Reinforcement Learning Honghao Wei, Xiyue Peng, Arnob Ghosh, Xin Liu
Main Conference Track
Fast Iterative Hard Thresholding Methods with Pruning Gradient Computations Yasutoshi Ida, Sekitoshi Kanai, Atsutoshi Kumagai, Tomoharu Iwata, Yasuhiro Fujiwara
Main Conference Track
InterDreamer: Zero-Shot Text to 3D Dynamic Human-Object Interaction Sirui Xu, Ziyin Wang, Yu-Xiong Wang, Liang-Yan Gui
Main Conference Track
Graph Convolutions Enrich the Self-Attention in Transformers! Jeongwhan Choi, Hyowon Wi, Jayoung Kim, Yehjin Shin, Kookjin Lee, Nathaniel Trask, Noseong Park
Main Conference Track
FineStyle: Fine-grained Controllable Style Personalization for Text-to-image Models Gong Zhang, Kihyuk Sohn, Meera Hahn, Humphrey Shi, Irfan Essa
Main Conference Track
Alias-Free Mamba Neural Operator Jianwei Zheng, Wei Li, Ni Xu, Junwei Zhu, Xiaoxu Lin, Xiaoqin Zhang
Main Conference Track
Guiding a Diffusion Model with a Bad Version of Itself Tero Karras, Miika Aittala, Tuomas Kynkäänniemi, Jaakko Lehtinen, Timo Aila, Samuli Laine
Main Conference Track
Multilinear Mixture of Experts: Scalable Expert Specialization through Factorization James Oldfield, Markos Georgopoulos, Grigorios G. Chrysos, Christos Tzelepis, Yannis Panagakis, Mihalis A. Nicolaou, Jiankang Deng, Ioannis Patras
Main Conference Track
ERBench: An Entity-Relationship based Automatically Verifiable Hallucination Benchmark for Large Language Models Jio Oh, Soyeon Kim, Junseok Seo, Jindong Wang, Ruochen Xu, Xing Xie, Steven Euijong Whang
Datasets and Benchmarks Track
Doing Experiments and Revising Rules with Natural Language and Probabilistic Reasoning Wasu Top Piriyakulkij, Cassidy Langenfeld, Tuan Anh Le, Kevin Ellis
Main Conference Track
Understanding Emergent Abilities of Language Models from the Loss Perspective Zhengxiao Du, Aohan Zeng, Yuxiao Dong, Jie Tang
Main Conference Track
HourVideo: 1-Hour Video-Language Understanding Keshigeyan Chandrasegaran, Agrim Gupta, Lea M. Hadzic, Taran Kota, Jimming He, Cristobal Eyzaguirre, Zane Durante, Manling Li, Jiajun Wu, Li Fei-Fei
Datasets and Benchmarks Track
G3: An Effective and Adaptive Framework for Worldwide Geolocalization Using Large Multi-Modality Models Pengyue Jia, Yiding Liu, Xiaopeng Li, Yuhao Wang, Yantong Du, Xiao Han, Xuetao Wei, Shuaiqiang Wang, Dawei Yin, Xiangyu Zhao
Main Conference Track
WelQrate: Defining the Gold Standard in Small Molecule Drug Discovery Benchmarking Yunchao (Lance) Liu, Ha Dong, Xin Wang, Rocco Moretti, Yu Wang, Zhaoqian Su, Jiawei Gu, Bobby Bodenheimer, Charles David Weaver, Jens Meiler, Tyler Derr
Datasets and Benchmarks Track
Color-Oriented Redundancy Reduction in Dataset Distillation Bowen Yuan, Zijian Wang, Mahsa Baktashmotlagh, Yadan Luo, Zi Huang
Main Conference Track
Euclidean distance compression via deep random features Brett Leroux, Luis Rademacher
Main Conference Track
LRM-Zero: Training Large Reconstruction Models with Synthesized Data Desai Xie, Sai Bi, Zhixin Shu, Kai Zhang, Zexiang Xu, Yi Zhou, Sören Pirk, Arie Kaufman, Xin Sun, Hao Tan
Main Conference Track
Uncertainty-aware Fine-tuning of Segmentation Foundation Models Kangning Liu, Brian Price, Jason Kuen, Yifei Fan, Zijun Wei, Luis Figueroa, Krzysztof J. Geras, Carlos Fernandez-Granda
Main Conference Track
Learning via Surrogate PAC-Bayes Antoine Picard-Weibel, Roman Moscoviz, Benjamin Guedj
Main Conference Track
MACM: Utilizing a Multi-Agent System for Condition Mining in Solving Complex Mathematical Problems Bin Lei, Yi Zhang, Shan Zuo, Ali Payani, Caiwen Ding
Main Conference Track
ECMamba: Consolidating Selective State Space Model with Retinex Guidance for Efficient Multiple Exposure Correction Wei Dong, Han Zhou, Yulun Zhang, Xiaohong Liu, Jun Chen
Main Conference Track
Provable Tempered Overfitting of Minimal Nets and Typical Nets Itamar Harel, William M. Hoza, Gal Vardi, Itay Evron, Nathan Srebro, Daniel Soudry
Main Conference Track
Dynamic Service Fee Pricing under Strategic Behavior: Actions as Instruments and Phase Transition Rui Ai, David Simchi-Levi, Feng Zhu
Main Conference Track
AllClear: A Comprehensive Dataset and Benchmark for Cloud Removal in Satellite Imagery Hangyu Zhou, Chia-Hsiang Kao, Cheng Perng Phoo, Utkarsh Mall, Bharath Hariharan, Kavita Bala
Datasets and Benchmarks Track
Autoformalize Mathematical Statements by Symbolic Equivalence and Semantic Consistency Zenan Li, Yifan Wu, Zhaoyu Li, Xinming Wei, Fan Yang, Xian Zhang, Xiaoxing Ma
Main Conference Track
The State of Data Curation at NeurIPS: An Assessment of Dataset Development Practices in the Datasets and Benchmarks Track Eshta Bhardwaj, Harshit Gujral, Siyi Wu, Ciara Zogheib, Tegan Maharaj, Christoph Becker
Datasets and Benchmarks Track
Only Strict Saddles in the Energy Landscape of Predictive Coding Networks? Francesco Innocenti, El Mehdi Achour, Ryan Singh, Christopher L. Buckley
Main Conference Track
Unelicitable Backdoors via Cryptographic Transformer Circuits Andis Draguns, Andrew Gritsevskiy, Sumeet Ramesh Motwani, Christian Schroeder de Witt
Main Conference Track
Accelerating Greedy Coordinate Gradient and General Prompt Optimization via Probe Sampling Yiran Zhao, Wenyue Zheng, Tianle Cai, Xuan Long Do, Kenji Kawaguchi, Anirudh Goyal, Michael Qizhe Shieh
Main Conference Track
Flow Snapshot Neurons in Action: Deep Neural Networks Generalize to Biological Motion Perception Shuangpeng Han, Ziyu Wang, Mengmi Zhang
Main Conference Track
WISE: Rethinking the Knowledge Memory for Lifelong Model Editing of Large Language Models Peng Wang, Zexi Li, Ningyu Zhang, Ziwen Xu, Yunzhi Yao, Yong Jiang, Pengjun Xie, Fei Huang, Huajun Chen
Main Conference Track
HEST-1k: A Dataset For Spatial Transcriptomics and Histology Image Analysis Guillaume Jaume, Paul Doucet, Andrew H. Song, Ming Y. Lu, Cristina Almagro-Pérez, Sophia J. Wagner, Anurag J. Vaidya, Richard J. Chen, Drew F.K. Williamson, Ahrong Kim, Faisal Mahmood
Datasets and Benchmarks Track
Harnessing Multiple Correlated Networks for Exact Community Recovery Miklós Z. Rácz, Jifan Zhang
Main Conference Track
Active Learning for Derivative-Based Global Sensitivity Analysis with Gaussian Processes Syrine Belakaria, Benjamin Letham, Janardhan Rao Doppa, Barbara Engelhardt, Stefano Ermon, Eytan Bakshy
Main Conference Track
FlexSBDD: Structure-Based Drug Design with Flexible Protein Modeling Zaixi Zhang, Mengdi Wang, Qi Liu
Main Conference Track
Diffusion-based Reinforcement Learning via Q-weighted Variational Policy Optimization Shutong Ding, Ke Hu, Zhenhao Zhang, Kan Ren, Weinan Zhang, Jingyi Yu, Jingya Wang, Ye Shi
Main Conference Track
EAI: Emotional Decision-Making of LLMs in Strategic Games and Ethical Dilemmas Mikhail Mozikov, Nikita Severin, Valeria Bodishtianu, Maria Glushanina, Ivan Nasonov, Daniil Orekhov, Vladislav Pekhotin, Ivan Makovetskiy, Mikhail Baklashkin, Vasily Lavrentyev, Akim Tsvigun, Denis Turdakov, Tatiana Shavrina, Andrey Savchenko, Ilya Makarov
Main Conference Track
Denoising Diffusion Path: Attribution Noise Reduction with An Auxiliary Diffusion Model Yiming Lei, Zilong Li, Junping Zhang, Hongming Shan
Main Conference Track
Transformer Doctor: Diagnosing and Treating Vision Transformers Jiacong Hu, Hao Chen, Kejia Chen, Yang Gao, Jingwen Ye, Xingen Wang, Mingli Song, Zunlei Feng
Main Conference Track
StepbaQ: Stepping backward as Correction for Quantized Diffusion Models Yi-Chung Chen, Zhi-Kai Huang, Jing-Ren Chen
Main Conference Track
Learning to Merge Tokens via Decoupled Embedding for Efficient Vision Transformers Dong Hoon Lee, Seunghoon Hong
Main Conference Track
PIVOT-R: Primitive-Driven Waypoint-Aware World Model for Robotic Manipulation Kaidong Zhang, Pengzhen Ren, Bingqian Lin, Junfan Lin, Shikui Ma, Hang Xu, Xiaodan Liang
Main Conference Track
A Foundation Model for Zero-shot Logical Query Reasoning Mikhail Galkin, Jincheng Zhou, Bruno Ribeiro, Jian Tang, Zhaocheng Zhu
Main Conference Track
LSH-MoE: Communication-efficient MoE Training via Locality-Sensitive Hashing Xiaonan Nie, Qibin Liu, Fangcheng Fu, Shenhan Zhu, Xupeng Miao, Xiaoyang Li, Yang Zhang, Shouda Liu, Bin Cui
Main Conference Track
Diffusion Actor-Critic with Entropy Regulator Yinuo Wang, Likun Wang, Yuxuan Jiang, Wenjun Zou, Tong Liu, Xujie Song, Wenxuan Wang, Liming Xiao, Jiang Wu, Jingliang Duan, Shengbo Eben Li
Main Conference Track
Can LLMs Implicitly Learn Numeric Parameter Constraints in Data Science APIs? Yinlin Deng, Chunqiu Steven Xia, Zhezhen Cao, Meiziniu Li, Lingming Zhang
Main Conference Track
Freya PAGE: First Optimal Time Complexity for Large-Scale Nonconvex Finite-Sum Optimization with Heterogeneous Asynchronous Computations Alexander Tyurin, Kaja Gruntkowska, Peter Richtárik
Main Conference Track
Multivariate Probabilistic Time Series Forecasting with Correlated Errors Vincent Zhihao Zheng, Lijun Sun
Main Conference Track
Variational Delayed Policy Optimization Qingyuan Wu, Simon Sinong Zhan, Yixuan Wang, Yuhui Wang, Chung-Wei Lin, Chen Lv, Qi Zhu, Chao Huang
Main Conference Track
MILP-StuDio: MILP Instance Generation via Block Structure Decomposition Haoyang Liu, Jie Wang, Wanbo Zhang, Zijie Geng, Yufei Kuang, Xijun Li, Yongdong Zhang, Bin Li, Feng Wu
Main Conference Track
BrainBits: How Much of the Brain are Generative Reconstruction Methods Using? David Mayo, Christopher Wang, Asa Harbin, Abdulrahman Alabdulkareem, Albert Shaw, Boris Katz, Andrei Barbu
Main Conference Track
Q-Distribution guided Q-learning for offline reinforcement learning: Uncertainty penalized Q-value via consistency model Jing Zhang, Linjiajie Fang, Kexin Shi, Wenjia Wang, Bing-Yi Jing
Main Conference Track
APIGen: Automated PIpeline for Generating Verifiable and Diverse Function-Calling Datasets Zuxin Liu, Thai Hoang, Jianguo Zhang, Ming Zhu, Tian Lan, Shirley Kokane, Juntao Tan, Weiran Yao, Zhiwei Liu, Yihao Feng, Rithesh Murthy, Liangwei Yang, Silvio Savarese, Juan Carlos Niebles, Huan Wang, Shelby Heinecke, Caiming Xiong
Datasets and Benchmarks Track
ChatCam: Empowering Camera Control through Conversational AI Xinhang Liu, Yu-Wing Tai, Chi-Keung Tang
Main Conference Track
What Rotary Position Embedding Can Tell Us: Identifying Query and Key Weights Corresponding to Basic Syntactic or High-level Semantic Information Yiting Chen, Junchi Yan
Main Conference Track
EgoChoir: Capturing 3D Human-Object Interaction Regions from Egocentric Views Yuhang Yang, Wei Zhai, Chengfeng Wang, Chengjun Yu, Yang Cao, Zheng-Jun Zha
Main Conference Track
NeuralFuse: Learning to Recover the Accuracy of Access-Limited Neural Network Inference in Low-Voltage Regimes Hao-Lun Sun, Lei Hsiung, Nandhini Chandramoorthy, Pin-Yu Chen, Tsung-Yi Ho
Main Conference Track
Dissecting Query-Key Interaction in Vision Transformers Xu Pan, Aaron Philip, Ziqian Xie, Odelia Schwartz
Main Conference Track
PEAC: Unsupervised Pre-training for Cross-Embodiment Reinforcement Learning Chengyang Ying, Zhongkai Hao, Xinning Zhou, Xuezhou Xu, Hang Su, Xingxing Zhang, Jun Zhu
Main Conference Track
Idiographic Personality Gaussian Process for Psychological Assessment Yehu Chen, Muchen Xi, Jacob Montgomery, Joshua Jackson, Roman Garnett
Main Conference Track
pFedClub: Controllable Heterogeneous Model Aggregation for Personalized Federated Learning Jiaqi Wang, Qi Li, Lingjuan Lyu, Fenglong Ma
Main Conference Track
Efficient Minimum Bayes Risk Decoding using Low-Rank Matrix Completion Algorithms Firas Trabelsi, David Vilar, Mara Finkelstein, Markus Freitag
Main Conference Track
USCILab3D: A Large-scale, Long-term, Semantically Annotated Outdoor Dataset Kiran Lekkala, Henghui Bao, Peixu Cai, Wei Zer Lim, Chen Liu, Laurent Itti
Datasets and Benchmarks Track
Taming the Long Tail in Human Mobility Prediction Xiaohang Xu, Renhe Jiang, Chuang Yang, Zipei Fan, Kaoru Sezaki
Main Conference Track
Instruction Tuning Large Language Models to Understand Electronic Health Records Zhenbang Wu, Anant Dadu, Mike Nalls, Faraz Faghri, Jimeng Sun
Datasets and Benchmarks Track
Categorical Flow Matching on Statistical Manifolds Chaoran Cheng, Jiahan Li, Jian Peng, Ge Liu
Main Conference Track
How does Inverse RL Scale to Large State Spaces? A Provably Efficient Approach Filippo Lazzati, Mirco Mutti, Alberto Maria Metelli
Main Conference Track
Unlocking the Capabilities of Thought: A Reasoning Boundary Framework to Quantify and Optimize Chain-of-Thought Qiguang Chen, Libo Qin, Jiaqi Wang, Jinxuan Zhou, Wanxiang Che
Main Conference Track
LoRA-GA: Low-Rank Adaptation with Gradient Approximation Shaowen Wang, Linxi Yu, Jian Li
Main Conference Track
FVEL: Interactive Formal Verification Environment with Large Language Models via Theorem Proving Xiaohan Lin, Qingxing Cao, Yinya Huang, Haiming Wang, Jianqiao Lu, Zhengying Liu, Linqi Song, Xiaodan Liang
Datasets and Benchmarks Track
DALD: Improving Logits-based Detector without Logits from Black-box LLMs Cong Zeng, Shengkun Tang, Xianjun Yang, Yuanzhou Chen, Yiyou Sun, Zhiqiang Xu, Yao Li, Haifeng Chen, Wei Cheng, Dongkuan Xu
Main Conference Track
Free-Rider and Conflict Aware Collaboration Formation for Cross-Silo Federated Learning Mengmeng Chen, Xiaohu Wu, Xiaoli Tang, Tiantian He, Yew-Soon Ong, Qiqi Liu, Qicheng Lao, Han Yu
Main Conference Track
JailbreakBench: An Open Robustness Benchmark for Jailbreaking Large Language Models Patrick Chao, Edoardo Debenedetti, Alexander Robey, Maksym Andriushchenko, Francesco Croce, Vikash Sehwag, Edgar Dobriban, Nicolas Flammarion, George J. Pappas, Florian Tramèr, Hamed Hassani, Eric Wong
Datasets and Benchmarks Track
Distributionally Robust Performative Prediction Songkai Xue, Yuekai Sun
Main Conference Track
Abrupt Learning in Transformers: A Case Study on Matrix Completion Pulkit Gopalani, Ekdeep Singh Lubana, Wei Hu
Main Conference Track
Pre-Trained Multi-Goal Transformers with Prompt Optimization for Efficient Online Adaptation Haoqi Yuan, Yuhui Fu, Feiyang Xie, Zongqing Lu
Main Conference Track
FilterNet: Harnessing Frequency Filters for Time Series Forecasting Kun Yi, Jingru Fei, Qi Zhang, Hui He, Shufeng Hao, Defu Lian, Wei Fan
Main Conference Track
Not All Diffusion Model Activations Have Been Evaluated as Discriminative Features Benyuan Meng, Qianqian Xu, Zitai Wang, Xiaochun Cao, Qingming Huang
Main Conference Track
Estimating Ego-Body Pose from Doubly Sparse Egocentric Video Data Seunggeun Chi, Pin-Hao Huang, Enna Sachdeva, Hengbo Ma, Karthik Ramani, Kwonjoon Lee
Main Conference Track
DECRL: A Deep Evolutionary Clustering Jointed Temporal Knowledge Graph Representation Learning Approach Qian Chen, Ling Chen
Main Conference Track
Single Image Reflection Separation via Dual-Stream Interactive Transformers Qiming Hu, Hainuo Wang, Xiaojie Guo
Main Conference Track
Recursive Introspection: Teaching Language Model Agents How to Self-Improve Yuxiao Qu, Tianjun Zhang, Naman Garg, Aviral Kumar
Main Conference Track
START: A Generalized State Space Model with Saliency-Driven Token-Aware Transformation Jintao Guo, Lei Qi, Yinghuan Shi, Yang Gao
Main Conference Track
When does perceptual alignment benefit vision representations? Shobhita Sundaram, Stephanie Fu, Lukas Muttenthaler, Netanel Tamir, Lucy Chai, Simon Kornblith, Trevor Darrell, Phillip Isola
Main Conference Track
Towards Understanding the Working Mechanism of Text-to-Image Diffusion Model Mingyang Yi, Aoxue Li, Yi Xin, Zhenguo Li
Main Conference Track
Inevitable Trade-off between Watermark Strength and Speculative Sampling Efficiency for Language Models Zhengmian Hu, Heng Huang
Main Conference Track
MoTE: Reconciling Generalization with Specialization for Visual-Language to Video Knowledge Transfer Minghao Zhu, Zhengpu Wang, Mengxian Hu, Ronghao Dang, Xiao Lin, Xun Zhou, Chengju Liu, Qijun Chen
Main Conference Track
UAV3D: A Large-scale 3D Perception Benchmark for Unmanned Aerial Vehicles Hui Ye, Rajshekhar Sunderraman, Shihao Ji
Datasets and Benchmarks Track
DreamClear: High-Capacity Real-World Image Restoration with Privacy-Safe Dataset Curation Yuang Ai, Xiaoqiang Zhou, Huaibo Huang, Xiaotian Han, Zhengyu Chen, Quanzeng You, Hongxia Yang
Main Conference Track
Revisiting Differentially Private ReLU Regression Meng Ding, Mingxi Lei, Liyang Zhu, Shaowei Wang, Di Wang, Jinhui Xu
Main Conference Track
Empowering Active Learning for 3D Molecular Graphs with Geometric Graph Isomorphism Ronast Subedi, Lu Wei, Wenhan Gao, Shayok Chakraborty, Yi Liu
Main Conference Track
Dual Lagrangian Learning for Conic Optimization Mathieu Tanneau, Pascal Van Hentenryck
Main Conference Track
Selective Explanations Lucas Monteiro Paes, Dennis Wei, Flavio P. Calmon
Main Conference Track
Cascade of phase transitions in the training of energy-based models Dimitrios Bachtis, Giulio Biroli, Aurélien Decelle, Beatriz Seoane
Main Conference Track
WAGLE: Strategic Weight Attribution for Effective and Modular Unlearning in Large Language Models Jinghan Jia, Jiancheng Liu, Yihua Zhang, Parikshit Ram, Nathalie Baracaldo, Sijia Liu
Main Conference Track
Shuffling Gradient-Based Methods for Nonconvex-Concave Minimax Optimization Quoc Tran-Dinh, Trang H. Tran, Lam M. Nguyen
Main Conference Track
Preferential Normalizing Flows Petrus Mikkola, Luigi Acerbi, Arto Klami
Main Conference Track
emg2pose: A Large and Diverse Benchmark for Surface Electromyographic Hand Pose Estimation Sasha Salter, Richard Warren, Collin Schlager, Adrian Spurr, Shangchen Han, Rohin Bhasin, Yujun Cai, Peter Walkington, Anuoluwapo Bolarinwa, Robert Wang, Nathan Danielson, Josh Merel, Eftychios Pnevmatikakis, Jesse Marshall
Datasets and Benchmarks Track
SceneDiffuser: Efficient and Controllable Driving Simulation Initialization and Rollout Chiyu Max Jiang, Yijing Bai, Andre Cornman, Christopher Davis, Xiukun Huang, Hong Jeon, Sakshum Kulshrestha, John Lambert, Shuangyu Li, Xuanyu Zhou, Carlos Fuertes, Chang Yuan, Mingxing Tan, Yin Zhou, Dragomir Anguelov
Main Conference Track
GeoLRM: Geometry-Aware Large Reconstruction Model for High-Quality 3D Gaussian Generation Chubin Zhang, Hongliang Song, Yi Wei, Yu Chen, Jiwen Lu, Yansong Tang
Main Conference Track
CryoSPIN: Improving Ab-Initio Cryo-EM Reconstruction with Semi-Amortized Pose Inference Shayan Shekarforoush, David B. Lindell, Marcus A. Brubaker, David J. Fleet
Main Conference Track
Disentangled Style Domain for Implicit $z$-Watermark Towards Copyright Protection Junqiang Huang, Zhaojun Guo, Ge Luo, Zhenxing Qian, Sheng Li, Xinpeng Zhang
Main Conference Track
EZ-HOI: VLM Adaptation via Guided Prompt Learning for Zero-Shot HOI Detection Qinqian Lei, Bo Wang, Robby T. Tan
Main Conference Track
Near-Optimal Dynamic Regret for Adversarial Linear Mixture MDPs Long-Fei Li, Peng Zhao, Zhi-Hua Zhou
Main Conference Track
Online Classification with Predictions Vinod Raman, Ambuj Tewari
Main Conference Track
QWO: Speeding Up Permutation-Based Causal Discovery in LiGAMs Mohammad Shahverdikondori, Ehsan Mokhtarian, Negar Kiyavash
Main Conference Track
Towards Robust Multimodal Sentiment Analysis with Incomplete Data Haoyu Zhang, Wenbin Wang, Tianshu Yu
Main Conference Track
Era3D: High-Resolution Multiview Diffusion using Efficient Row-wise Attention Peng Li, Yuan Liu, Xiaoxiao Long, Feihu Zhang, Cheng Lin, Mengfei Li, Xingqun Qi, Shanghang Zhang, Wenhan Luo, Ping Tan, Wenping Wang, Qifeng Liu, Yike Guo
Main Conference Track
Piecewise-Stationary Bandits with Knapsacks Xilin Zhang, Cheung Wang Chi
Main Conference Track
Do Counterfactually Fair Image Classifiers Satisfy Group Fairness? -- A Theoretical and Empirical Study Sangwon Jung, Sumin Yu, Sanghyuk Chun, Taesup Moon
Datasets and Benchmarks Track
Bileve: Securing Text Provenance in Large Language Models Against Spoofing with Bi-level Signature Tong Zhou, Xuandong Zhao, Xiaolin Xu, Shaolei Ren
Main Conference Track
Deep Homomorphism Networks Takanori Maehara, Hoang NT
Main Conference Track
When to Act and When to Ask: Policy Learning With Deferral Under Hidden Confounding Marah Ghoummaid, Uri Shalit
Main Conference Track
Maximum Entropy Reinforcement Learning via Energy-Based Normalizing Flow Chen-Hao Chao, Chien Feng, Wei-Fang Sun, Cheng-Kuang Lee, Simon See, Chun-Yi Lee
Main Conference Track
FasterDiT: Towards Faster Diffusion Transformers Training without Architecture Modification Jingfeng Yao, Cheng Wang, Wenyu Liu, Xinggang Wang
Main Conference Track
Large Pre-trained time series models for cross-domain Time series analysis tasks Harshavardhan Kamarthi, B. Aditya Prakash
Main Conference Track
Iteratively Refined Behavior Regularization for Offline Reinforcement Learning Yi Ma, Jianye Hao, Xiaohan Hu, Yan Zheng, Chenjun Xiao
Main Conference Track
Rethinking LLM Memorization through the Lens of Adversarial Compression Avi Schwarzschild, Zhili Feng, Pratyush Maini, Zachary C. Lipton, J. Zico Kolter
Main Conference Track
Learning in Markov Games with Adaptive Adversaries: Policy Regret, Fundamental Barriers, and Efficient Algorithms Thanh Nguyen-Tang, Raman Arora
Main Conference Track
BAM! Just Like That: Simple and Efficient Parameter Upcycling for Mixture of Experts Qizhen Zhang, Nikolas Gritsch, Dwaraknath Gnaneshwar, Simon Guo, David Cairuz, Bharat Venkitesh, Jakob Foerster, Phil Blunsom, Sebastian Ruder, Ahmet Üstün, Acyr Locatelli
Main Conference Track
Self-Calibrated Tuning of Vision-Language Models for Out-of-Distribution Detection Geng Yu, Jianing Zhu, Jiangchao Yao, Bo Han
Main Conference Track
An Efficient Recipe for Long Context Extension via Middle-Focused Positional Encoding Tong Wu, Yanpeng Zhao, Zilong Zheng
Main Conference Track
Precipitation Downscaling with Spatiotemporal Video Diffusion Prakhar Srivastava, Ruihan Yang, Gavin Kerrigan, Gideon Dresdner, Jeremy McGibbon, Christopher Bretherton, Stephan Mandt
Main Conference Track
Diversity Is Not All You Need: Training A Robust Cooperative Agent Needs Specialist Partners Rujikorn Charakorn, Poramate Manoonpong, Nat Dilokthanakul
Main Conference Track
Autoregressive Image Generation without Vector Quantization Tianhong Li, Yonglong Tian, He Li, Mingyang Deng, Kaiming He
Main Conference Track
Clustering with Non-adaptive Subset Queries Hadley Black, Euiwoong Lee, Arya Mazumdar, Barna Saha
Main Conference Track
What Variables Affect Out-of-Distribution Generalization in Pretrained Models? Md Yousuf Harun, Kyungbok Lee, Jhair Gallardo, Giri Krishnan, Christopher Kanan
Main Conference Track
Bayesian Adaptive Calibration and Optimal Design Rafael Oliveira, Dino Sejdinovic, David Howard, Edwin V. Bonilla
Main Conference Track
Deep Submodular Peripteral Networks Gantavya Bhatt, Arnav M. Das, Jeffrey A. Bilmes
Main Conference Track
Parametric model reduction of mean-field and stochastic systems via higher-order action matching Jules Berman, Tobias Blickhan, Benjamin Peherstorfer
Main Conference Track
DeeR-VLA: Dynamic Inference of Multimodal Large Language Models for Efficient Robot Execution Yang Yue, Yulin Wang, Bingyi Kang, Yizeng Han, Shenzhi Wang, Shiji Song, Jiashi Feng, Gao Huang
Main Conference Track
Can Simple Averaging Defeat Modern Watermarks? Pei Yang, Hai Ci, Yiren Song, Mike Zheng Shou
Main Conference Track
Causal language modeling can elicit search and reasoning capabilities on logic puzzles Kulin Shah, Nishanth Dikkala, Xin Wang, Rina Panigrahy
Main Conference Track
Local and Adaptive Mirror Descents in Extensive-Form Games Côme Fiegel, Pierre Ménard, Tadashi Kozuno, Rémi Munos, Vianney Perchet, Michal Valko
Main Conference Track
Single-Loop Stochastic Algorithms for Difference of Max-Structured Weakly Convex Functions Quanqi Hu, Qi Qi, Zhaosong Lu, Tianbao Yang
Main Conference Track
GTA: Generative Trajectory Augmentation with Guidance for Offline Reinforcement Learning Jaewoo Lee, Sujin Yun, Taeyoung Yun, Jinkyoo Park
Main Conference Track
UniAudio 1.5: Large Language Model-Driven Audio Codec is A Few-Shot Audio Task Learner Dongchao Yang, Haohan Guo, Yuanyuan Wang, Rongjie Huang, Xiang Li, Xu Tan, Xixin Wu, Helen Meng
Main Conference Track
L4GM: Large 4D Gaussian Reconstruction Model Jiawei Ren, Kevin Xie, Ashkan Mirzaei, Hanxue Liang, Xiaohui Zeng, Karsten Kreis, Ziwei Liu, Antonio Torralba, Sanja Fidler, Seung Wook Kim, Huan Ling
Main Conference Track
One for All: Multi-Domain Joint Training for Point Cloud Based 3D Object Detection Zhenyu Wang, Yali Li, Hengshuang Zhao, Shengjin Wang
Main Conference Track
Construction and Application of Materials Knowledge Graph in Multidisciplinary Materials Science via Large Language Model Yanpeng Ye, Jie Ren, Shaozhou Wang, Yuwei Wan, Imran Razzak, Bram Hoex, Haofeng Wang, Tong Xie, Wenjie Zhang
Main Conference Track
SD-Eval: A Benchmark Dataset for Spoken Dialogue Understanding Beyond Words Junyi Ao, Yuancheng Wang, Xiaohai Tian, Dekun Chen, Jun Zhang, Lu Lu, Yuxuan Wang, Haizhou Li, Zhizheng Wu
Datasets and Benchmarks Track
Contrasting with Symile: Simple Model-Agnostic Representation Learning for Unlimited Modalities Adriel Saporta, Aahlad Puli, Mark Goldstein, Rajesh Ranganath
Main Conference Track
Spectral Editing of Activations for Large Language Model Alignment Yifu Qiu, Zheng Zhao, Yftah Ziser, Anna Korhonen, Edoardo M. Ponti, Shay B. Cohen
Main Conference Track
Mixture of neural fields for heterogeneous reconstruction in cryo-EM Axel Levy, Rishwanth Raghu, David Shustin, Adele Rui-Yang Peng, Huan Li, Oliver Biggs Clarke, Gordon Wetzstein, Ellen D. Zhong
Main Conference Track
LISA: Layerwise Importance Sampling for Memory-Efficient Large Language Model Fine-Tuning Rui Pan, Xiang Liu, Shizhe Diao, Renjie Pi, Jipeng Zhang, Chi Han, Tong Zhang
Main Conference Track
ODGS: 3D Scene Reconstruction from Omnidirectional Images with 3D Gaussian Splattings Suyoung Lee, Jaeyoung Chung, Jaeyoo Huh, Kyoung Mu Lee
Main Conference Track
Geometric-Averaged Preference Optimization for Soft Preference Labels Hiroki Furuta, Kuang-Huei Lee, Shixiang Shane Gu, Yutaka Matsuo, Aleksandra Faust, Heiga Zen, Izzeddin Gur
Main Conference Track
Magnet: We Never Know How Text-to-Image Diffusion Models Work, Until We Learn How Vision-Language Models Function Chenyi Zhuang, Ying Hu, Pan Gao
Main Conference Track
Enhancing Graph Transformers with Hierarchical Distance Structural Encoding Yuankai Luo, Hongkang Li, Lei Shi, Xiao-Ming Wu
Main Conference Track
Graph Neural Flows for Unveiling Systemic Interactions Among Irregularly Sampled Time Series Giangiacomo Mercatali, Andre Freitas, Jie Chen
Main Conference Track
Vitron: A Unified Pixel-level Vision LLM for Understanding, Generating, Segmenting, Editing Hao Fei, Shengqiong Wu, Hanwang Zhang, Tat-Seng Chua, Shuicheng Yan
Main Conference Track
Vript: A Video Is Worth Thousands of Words Dongjie Yang, Suyuan Huang, Chengqiang Lu, Xiaodong Han, Haoxin Zhang, Yan Gao, Yao Hu, Hai Zhao
Datasets and Benchmarks Track
PANORAMIA: Privacy Auditing of Machine Learning Models without Retraining Mishaal Kazmi, Hadrien Lautraite, Alireza Akbari, Qiaoyue Tang, Mauricio Soroco, Tao Wang, Sébastien Gambs, Mathias Lécuyer
Main Conference Track
A Metalearned Neural Circuit for Nonparametric Bayesian Inference Jake C. Snell, Gianluca M. Bencomo, Thomas L. Griffiths
Main Conference Track
MSA Generation with Seqs2Seqs Pretraining: Advancing Protein Structure Predictions Le Zhang, Jiayang Chen, Tao Shen, Yu Li, Siqi Sun
Main Conference Track
Learning on Large Graphs using Intersecting Communities Ben Finkelshtein, İsmail İlkan Ceylan, Michael Bronstein, Ron Levie
Main Conference Track
Flow Priors for Linear Inverse Problems via Iterative Corrupted Trajectory Matching Yasi Zhang, Peiyu Yu, Yaxuan Zhu, Yingshan Chang, Feng Gao, Ying Nian Wu, Oscar Leong
Main Conference Track
No-Regret M${}^{\natural}$-Concave Function Maximization: Stochastic Bandit Algorithms and NP-Hardness of Adversarial Full-Information Setting Taihei Oki, Shinsaku Sakaue
Main Conference Track
BIGOS V2 Benchmark for Polish ASR: Curated Datasets and Tools for Reproducible Evaluation Michał Junczyk
Datasets and Benchmarks Track
NYU CTF Bench: A Scalable Open-Source Benchmark Dataset for Evaluating LLMs in Offensive Security Minghao Shao, Sofija Jancheska, Meet Udeshi, Brendan Dolan-Gavitt, Haoran Xi, Kimberly Milner, Boyuan Chen, Max Yin, Siddharth Garg, Prashanth Krishnamurthy, Farshad Khorrami, Ramesh Karri, Muhammad Shafique
Datasets and Benchmarks Track
Understanding Generalizability of Diffusion Models Requires Rethinking the Hidden Gaussian Structure Xiang Li, Yixiang Dai, Qing Qu
Main Conference Track
MGF: Mixed Gaussian Flow for Diverse Trajectory Prediction Jiahe Chen, Jinkun Cao, Dahua Lin, Kris Kitani, Jiangmiao Pang
Main Conference Track
DeltaDEQ: Exploiting Heterogeneous Convergence for Accelerating Deep Equilibrium Iterations Zuowen Wang, Longbiao Cheng, Pehuen Moure, Niklas Hahn, Shih-Chii Liu
Main Conference Track
Functionally Constrained Algorithm Solves Convex Simple Bilevel Problem Huaqing Zhang, Lesi Chen, Jing Xu, Jingzhao Zhang
Main Conference Track
EvoCodeBench: An Evolving Code Generation Benchmark with Domain-Specific Evaluations Jia Li, Ge Li, Xuanming Zhang, Yunfei Zhao, Yihong Dong, Zhi Jin, Binhua Li, Fei Huang, Yongbin Li
Datasets and Benchmarks Track
Generalizable and Animatable Gaussian Head Avatar Xuangeng Chu, Tatsuya Harada
Main Conference Track
No-Regret Learning for Fair Multi-Agent Social Welfare Optimization Mengxiao Zhang, Ramiro Deo-Campo Vuong, Haipeng Luo
Main Conference Track
Initializing Services in Interactive ML Systems for Diverse Users Avinandan Bose, Mihaela Curmei, Daniel L. Jiang, Jamie Morgenstern, Sarah Dean, Lillian J. Ratliff, Maryam Fazel
Main Conference Track
Shadowcast: Stealthy Data Poisoning Attacks Against Vision-Language Models Yuancheng Xu, Jiarui Yao, Manli Shu, Yanchao Sun, Zichu Wu, Ning Yu, Tom Goldstein, Furong Huang
Main Conference Track
Rethinking Exploration in Reinforcement Learning with Effective Metric-Based Exploration Bonus Yiming Wang, Kaiyan Zhao, Furui Liu, Leong Hou U
Main Conference Track
Local Curvature Smoothing with Stein's Identity for Efficient Score Matching Genki Osada, Makoto Shing, Takashi Nishide
Main Conference Track
CoIN: A Benchmark of Continual Instruction Tuning for Multimodel Large Language Models Cheng Chen, Junchen Zhu, Xu Luo, Heng Tao Shen, Jingkuan Song, Lianli Gao
Datasets and Benchmarks Track
The Multimodal Universe: Enabling Large-Scale Machine Learning with 100 TB of Astronomical Scientific Data Eirini Angeloudi, Jeroen Audenaert, Micah Bowles, Benjamin M. Boyd, David Chemaly, Brian Cherinka, Ioana Ciucă, Miles Cranmer, Aaron Do, Matthew Grayling, Erin E. Hayes, Tom Hehir, Shirley Ho, Marc Huertas-Company, Kartheik G. Iyer, Maja Jablonska, Francois Lanusse, Henry W. Leung, Kaisey Mandel, Juan Rafael Martínez-Galarza, Peter Melchior, Lucas Meyer, Liam H. Parker, Helen Qu, Jeff Shen, Michael J. Smith, Connor Stone, Mike Walmsley, John F. Wu
Datasets and Benchmarks Track
Model-based Diffusion for Trajectory Optimization Chaoyi Pan, Zeji Yi, Guanya Shi, Guannan Qu
Main Conference Track
A Cat Is A Cat (Not A Dog!): Unraveling Information Mix-ups in Text-to-Image Encoders through Causal Analysis and Embedding Optimization Chieh-Yun Chen, Chiang Tseng, Li-Wu Tsao, Hong-Han Shuai
Main Conference Track
Learning De-Biased Representations for Remote-Sensing Imagery Zichen Tian, Zhaozheng Chen, Qianru Sun
Main Conference Track
Challenges of Generating Structurally Diverse Graphs Fedor Velikonivtsev, Mikhail Mironov, Liudmila Prokhorenkova
Main Conference Track
The Price of Implicit Bias in Adversarially Robust Generalization Nikolaos Tsilivis, Natalie S. Frank, Nathan Srebro, Julia Kempe
Main Conference Track
A probability contrastive learning framework for 3D molecular representation learning Jiayu Qin, Jian Chen, Rohan Sharma, Jingchen Sun, Changyou Chen
Main Conference Track
To Believe or Not to Believe Your LLM: Iterative Prompting for Estimating Epistemic Uncertainty Yasin Abbasi Yadkori, Ilja Kuzborskij, András György, Csaba Szepesvári
Main Conference Track
From News to Forecast: Integrating Event Analysis in LLM-Based Time Series Forecasting with Reflection Xinlei Wang, Maike Feng, Jing Qiu, Jinjin Gu, Junhua Zhao
Main Conference Track
Vision-Language Models are Strong Noisy Label Detectors Tong Wei, Hao-Tian Li, Chun-Shu Li, Jiang-Xin Shi, Yu-Feng Li, Min-Ling Zhang
Main Conference Track
Teach Better or Show Smarter? On Instructions and Exemplars in Automatic Prompt Optimization Xingchen Wan, Ruoxi Sun, Hootan Nakhost, Sercan Ö. Arık
Main Conference Track
Algorithmic progress in language models Anson Ho, Tamay Besiroglu, Ege Erdil, David Owen, Robi Rahman, Zifan Carl Guo, David Atkinson, Neil Thompson, Jaime Sevilla
Main Conference Track
Train-Attention: Meta-Learning Where to Focus in Continual Knowledge Learning Yeongbin Seo, Dongha Lee, Jinyoung Yeo
Main Conference Track
One Sample Fits All: Approximating All Probabilistic Values Simultaneously and Efficiently Weida Li, Yaoliang Yu
Main Conference Track
Forgetting, Ignorance or Myopia: Revisiting Key Challenges in Online Continual Learning Xinrui Wang, Chuanxing Geng, Wenhai Wan, Shao-yuan Li, Songcan Chen
Main Conference Track
Sample and Computationally Efficient Robust Learning of Gaussian Single-Index Models Puqian Wang, Nikos Zarifis, Ilias Diakonikolas, Jelena Diakonikolas
Main Conference Track
Towards Unsupervised Model Selection for Domain Adaptive Object Detection Hengfu Yu, Jinhong Deng, Wen Li, Lixin Duan
Main Conference Track
Where Do Large Learning Rates Lead Us? Ildus Sadrtdinov, Maxim Kodryan, Eduard Pokonechny, Ekaterina Lobacheva, Dmitry Vetrov
Main Conference Track
Mixture of Nested Experts: Adaptive Processing of Visual Tokens Gagan Jain, Nidhi Hegde, Aditya Kusupati, Arsha Nagrani, Shyamal Buch, Prateek Jain, Anurag Arnab, Sujoy Paul
Main Conference Track
Unified Domain Generalization and Adaptation for Multi-View 3D Object Detection Gyusam Chang, Jiwon Lee, Donghyun Kim, Jinkyu Kim, Dongwook Lee, Daehyun Ji, Sujin Jang, Sangpil Kim
Main Conference Track
Muharaf: Manuscripts of Handwritten Arabic Dataset for Cursive Text Recognition Mehreen Saeed, Adrian Chan, Anupam Mijar, Joseph Moukarzel, Georges Habchi, Carlos Younes, Amin Elias, Chau-Wai Wong, Akram Khater
Datasets and Benchmarks Track
Provably Efficient Reinforcement Learning with Multinomial Logit Function Approximation Long-Fei Li, Yu-Jie Zhang, Peng Zhao, Zhi-Hua Zhou
Main Conference Track
Conformalized Multiple Testing after Data-dependent Selection Xiaoning Wang, Yuyang Huo, Liuhua Peng, Changliang Zou
Main Conference Track
GrounDiT: Grounding Diffusion Transformers via Noisy Patch Transplantation Phillip Y. Lee, Taehoon Yoon, Minhyuk Sung
Main Conference Track
Reconstruction of Manipulated Garment with Guided Deformation Prior Ren Li, Corentin Dumery, Zhantao Deng, Pascal Fua
Main Conference Track
Navigating Chemical Space with Latent Flows Guanghao Wei, Yining Huang, Chenru Duan, Yue Song, Yuanqi Du
Main Conference Track
Assemblage: Automatic Binary Dataset Construction for Machine Learning Chang Liu, Rebecca Saul, Yihao Sun, Edward Raff, Maya Fuchs, Townsend Southard Pantano, James Holt, Kristopher Micinski
Datasets and Benchmarks Track
Neural network learns low-dimensional polynomials with SGD near the information-theoretic limit Jason D. Lee, Kazusato Oko, Taiji Suzuki, Denny Wu
Main Conference Track
Diffusion for World Modeling: Visual Details Matter in Atari Eloi Alonso, Adam Jelley, Vincent Micheli, Anssi Kanervisto, Amos Storkey, Tim Pearce, François Fleuret
Main Conference Track
Black-Box Forgetting Yusuke Kuwana, Yuta Goto, Takashi Shibata, Go Irie
Main Conference Track
Continual learning with the neural tangent ensemble Ari S. Benjamin, Christian Pehle, Kyle Daruwalla
Main Conference Track
Aligning Audio-Visual Joint Representations with an Agentic Workflow Shentong Mo, Yibing Song
Main Conference Track
CLAVE: An Adaptive Framework for Evaluating Values of LLM Generated Responses Jing Yao, Xiaoyuan Yi, Xing Xie
Datasets and Benchmarks Track
Inference via Interpolation: Contrastive Representations Provably Enable Planning and Inference Benjamin Eysenbach, Vivek Myers, Ruslan Salakhutdinov, Sergey Levine
Main Conference Track
Self-Guided Masked Autoencoder Jeongwoo Shin, Inseo Lee, Junho Lee, Joonseok Lee
Main Conference Track
Robust Offline Active Learning on Graphs Yuanchen Wu, Yubai Yuan
Main Conference Track
OnlineTAS: An Online Baseline for Temporal Action Segmentation Qing Zhong, Guodong Ding, Angela Yao
Main Conference Track
Efficient LLM Scheduling by Learning to Rank Yichao Fu, Siqi Zhu, Runlong Su, Aurick Qiao, Ion Stoica, Hao Zhang
Main Conference Track
Swift Sampler: Efficient Learning of Sampler by 10 Parameters Jiawei Yao, Chuming Li, Canran Xiao
Main Conference Track
Identifiability Analysis of Linear ODE Systems with Hidden Confounders Yuanyuan Wang, Biwei Huang, Wei Huang, Xi Geng, Mingming Gong
Main Conference Track
EGODE: An Event-attended Graph ODE Framework for Modeling Rigid Dynamics Jingyang Yuan, Gongbo Sun, Zhiping Xiao, Hang Zhou, Xiao Luo, Junyu Luo, Yusheng Zhao, Wei Ju, Ming Zhang
Main Conference Track
Validating Climate Models with Spherical Convolutional Wasserstein Distance Robert C. Garrett, Trevor Harris, Zhuo Wang, Bo Li
Main Conference Track
Optical Diffusion Models for Image Generation Ilker Oguz, Niyazi Ulas Dinc, Mustafa Yildirim, Junjie Ke, Innfarn Yoo, Qifei Wang, Feng Yang, Christophe Moser, Demetri Psaltis
Main Conference Track
Private Stochastic Convex Optimization with Heavy Tails: Near-Optimality from Simple Reductions Hilal Asi, Daogao Liu, Kevin Tian
Main Conference Track
OpenSatMap: A Fine-grained High-resolution Satellite Dataset for Large-scale Map Construction Hongbo Zhao, Lue Fan, Yuntao Chen, Haochen Wang, Yuran Yang, Xiaojuan Jin, Yixin Zhang, Gaofeng Meng, Zhaoxiang Zhang
Datasets and Benchmarks Track
Learning World Models for Unconstrained Goal Navigation Yuanlin Duan, Wensen Mao, He Zhu
Main Conference Track
An engine not a camera: Measuring performative power of online search Celestine Mendler-Dünner, Gabriele Carovano, Moritz Hardt
Main Conference Track
DFA-GNN: Forward Learning of Graph Neural Networks by Direct Feedback Alignment Gongpei Zhao, Tao Wang, Congyan Lang, Yi Jin, Yidong Li, Haibin Ling
Main Conference Track
MeshFormer : High-Quality Mesh Generation with 3D-Guided Reconstruction Model Minghua Liu, Chong Zeng, Xinyue Wei, Ruoxi Shi, Linghao Chen, Chao Xu, Mengqi Zhang, Zhaoning Wang, Xiaoshuai Zhang, Isabella Liu, Hongzhi Wu, Hao Su
Main Conference Track
SubjECTive-QA: Measuring Subjectivity in Earnings Call Transcripts' QA Through Six-Dimensional Feature Analysis Huzaifa Pardawala, Siddhant Sukhani, Agam Shah, Veer Kejriwal, Abhishek Pillai, Rohan Bhasin, Andrew DiBiasio, Tarun Mandapati, Dhruv Adha, Sudheer Chava
Datasets and Benchmarks Track
Differentiable Task Graph Learning: Procedural Activity Representation and Online Mistake Detection from Egocentric Videos Luigi Seminara, Giovanni Maria Farinella, Antonino Furnari
Main Conference Track
Jailbreaking Large Language Models Against Moderation Guardrails via Cipher Characters Haibo Jin, Andy Zhou, Joe D. Menke, Haohan Wang
Main Conference Track
Benchmarking Generative Models on Computational Thinking Tests in Elementary Visual Programming Victor-Alexandru Pădurean, Adish Singla
Datasets and Benchmarks Track
MmCows: A Multimodal Dataset for Dairy Cattle Monitoring Hien Vu, Omkar Prabhune, Unmesh Raskar, Dimuth Panditharatne, Hanwook Chung, Christopher Y. Choi, Younghyun Kim
Datasets and Benchmarks Track
A Unified Framework for 3D Scene Understanding Wei Xu, Chunsheng Shi, Sifan Tu, Xin Zhou, Dingkang Liang, Xiang Bai
Main Conference Track
Reciprocal Reward Influence Encourages Cooperation From Self-Interested Agents John L. Zhou, Weizhe Hong, Jonathan C. Kao
Main Conference Track
Navigable Graphs for High-Dimensional Nearest Neighbor Search: Constructions and Limits Haya Diwan, Jinrui Gou, Cameron Musco, Christopher Musco, Torsten Suel
Main Conference Track
HippoRAG: Neurobiologically Inspired Long-Term Memory for Large Language Models Bernal Jiménez Gutiérrez, Yiheng Shu, Yu Gu, Michihiro Yasunaga, Yu Su
Main Conference Track
Breaking Semantic Artifacts for Generalized AI-generated Image Detection Chende Zheng, Chenhao Lin, Zhengyu Zhao, Hang Wang, Xu Guo, Shuai Liu, Chao Shen
Main Conference Track
QTIP: Quantization with Trellises and Incoherence Processing Albert Tseng, Qingyao Sun, David Hou, Christopher De Sa
Main Conference Track
Imprecise Label Learning: A Unified Framework for Learning with Various Imprecise Label Configurations Hao Chen, Ankit Shah, Jindong Wang, Ran Tao, Yidong Wang, Xiang Li, Xing Xie, Masashi Sugiyama, Rita Singh, Bhiksha Raj
Main Conference Track
Minimum Entropy Coupling with Bottleneck M.Reza Ebrahimi, Jun Chen, Ashish Khisti
Main Conference Track
Artificial Generational Intelligence: Cultural Accumulation in Reinforcement Learning Jonathan Cook, Chris Lu, Edward Hughes, Joel Z. Leibo, Jakob Foerster
Main Conference Track
RMLR: Extending Multinomial Logistic Regression into General Geometries Ziheng Chen, Yue Song, Rui Wang, Xiao-Jun Wu, Nicu Sebe
Main Conference Track
Wide Two-Layer Networks can Learn from Adversarial Perturbations Soichiro Kumano, Hiroshi Kera, Toshihiko Yamasaki
Main Conference Track
Coupled Mamba: Enhanced Multimodal Fusion with Coupled State Space Model Wenbing Li, Hang Zhou, Junqing Yu, Zikai Song, Wei Yang
Main Conference Track
Synthesize, Partition, then Adapt: Eliciting Diverse Samples from Foundation Models Yeming Wen, Swarat Chaudhuri
Main Conference Track
ODRL: A Benchmark for Off-Dynamics Reinforcement Learning Jiafei Lyu, Kang Xu, Jiacheng Xu, Mengbei Yan, Jingwen Yang, Zongzhang Zhang, Chenjia Bai, Zongqing Lu, Xiu Li
Datasets and Benchmarks Track
S$^{2}$FT: Efficient, Scalable and Generalizable LLM Fine-tuning by Structured Sparsity Xinyu Yang, Jixuan Leng, Geyang Guo, Jiawei Zhao, Ryumei Nakada, Linjun Zhang, Huaxiu Yao, Beidi Chen
Main Conference Track
SR-CACO-2: A Dataset for Confocal Fluorescence Microscopy Image Super-Resolution Soufiane Belharbi, Mara KM Whitford, Phuong Hoang, Shakeeb Murtaza, Luke McCaffrey, Eric Granger
Datasets and Benchmarks Track
OPEL: Optimal Transport Guided ProcedurE Learning Sayeed Shafayet Chowdhury, Soumyadeep Chandra, Kaushik Roy
Main Conference Track
ANAH-v2: Scaling Analytical Hallucination Annotation of Large Language Models Yuzhe Gu, Ziwei Ji, Wenwei Zhang, Chengqi Lyu, Dahua Lin, Kai Chen
Main Conference Track
Unveiling The Matthew Effect Across Channels: Assessing Layer Width Sufficiency via Weight Norm Variance Yiting Chen, Jiazi Bu, Junchi Yan
Main Conference Track
Learning to Cooperate with Humans using Generative Agents Yancheng Liang, Daphne Chen, Abhishek Gupta, Simon S. Du, Natasha Jaques
Main Conference Track
ReMI: A Dataset for Reasoning with Multiple Images Mehran Kazemi, Nishanth Dikkala, Ankit Anand, Petar Devic, Ishita Dasgupta, Fangyu Liu, Bahare Fatemi, Pranjal Awasthi, Dee Guo, Sreenivas Gollapudi, Ahmed Qureshi
Datasets and Benchmarks Track
Active, anytime-valid risk controlling prediction sets Ziyu Xu, Nikos Karampatziakis, Paul Mineiro
Main Conference Track
SGD vs GD: Rank Deficiency in Linear Networks Aditya Varre, Margarita Sagitova, Nicolas Flammarion
Main Conference Track
Are Language Models Actually Useful for Time Series Forecasting? Mingtian Tan, Mike A. Merrill, Vinayak Gupta, Tim Althoff, Thomas Hartvigsen
Main Conference Track
Parameterized Approximation Schemes for Fair-Range Clustering Zhen Zhang, Xiaohong Chen, Limei Liu, Jie Chen, Junyu Huang, Qilong Feng
Main Conference Track
Simulation-Free Training of Neural ODEs on Paired Data Semin Kim, Jaehoon Yoo, Jinwoo Kim, Yeonwoo Cha, Saehoon Kim, Seunghoon Hong
Main Conference Track
Infusing Synthetic Data with Real-World Patterns for Zero-Shot Material State Segmentation Sagi Eppel, Jolina Yining Li, Manuel S. Drehwald, Alan Aspuru-Guzik
Datasets and Benchmarks Track
ETO:Efficient Transformer-based Local Feature Matching by Organizing Multiple Homography Hypotheses Junjie Ni, Guofeng Zhang, Guanglin Li, Yijin Li, Xinyang Liu, Zhaoyang Huang, Hujun Bao
Main Conference Track
SemCoder: Training Code Language Models with Comprehensive Semantics Reasoning Yangruibo Ding, Jinjun Peng, Marcus J. Min, Gail Kaiser, Junfeng Yang, Baishakhi Ray
Main Conference Track
On the Limitations of Fractal Dimension as a Measure of Generalization Charlie B. Tan, Inés García-Redondo, Qiquan Wang, Michael M. Bronstein, Anthea Monod
Main Conference Track
ColJailBreak: Collaborative Generation and Editing for Jailbreaking Text-to-Image Deep Generation Yizhuo Ma, Shanmin Pang, Qi Guo, Tianyu Wei, Qing Guo
Main Conference Track
DI-MaskDINO: A Joint Object Detection and Instance Segmentation Model Zhixiong Nan, Xianghong Li, Tao Xiang, Jifeng Dai
Main Conference Track
Leveraging partial stragglers within gradient coding Aditya Ramamoorthy, Ruoyu Meng, Vrinda S. Girimaji
Main Conference Track
Multiclass Transductive Online Learning Steve Hanneke, Vinod Raman, Amirreza Shaeri, Unqiue Subedi
Main Conference Track
Generating Code World Models with Large Language Models Guided by Monte Carlo Tree Search Nicola Dainese, Matteo Merler, Minttu Alakuijala, Pekka Marttinen
Main Conference Track
Localizing Memorization in SSL Vision Encoders Wenhao Wang, Adam Dziedzic, Michael Backes, Franziska Boenisch
Main Conference Track
LibAMM: Empirical Insights into Approximate Computing for Accelerating Matrix Multiplication Xianzhi Zeng, Wenchao Jiang, Shuhao Zhang
Datasets and Benchmarks Track
Opponent Modeling based on Subgoal Inference Xiaopeng Yu, Jiechuan Jiang, Zongqing Lu
Main Conference Track
Scaling Laws in Linear Regression: Compute, Parameters, and Data Licong Lin, Jingfeng Wu, Sham M. Kakade, Peter L. Bartlett, Jason D. Lee
Main Conference Track
Cherry on Top: Parameter Heterogeneity and Quantization in Large Language Models Wanyun Cui, Qianle Wang
Main Conference Track
How Do Large Language Models Acquire Factual Knowledge During Pretraining? Hoyeon Chang, Jinho Park, Seonghyeon Ye, Sohee Yang, Youngkyung Seo, Du-Seong Chang, Minjoon Seo
Main Conference Track
YouDream: Generating Anatomically Controllable Consistent Text-to-3D Animals Sandeep Mishra, Oindrila Saha, Alan C. Bovik
Main Conference Track
Online Consistency of the Nearest Neighbor Rule Sanjoy Dasgupta, Geelon So
Main Conference Track
Constrained Binary Decision Making Daniel Průša, Vojtěch Franc
Main Conference Track
Found in the Middle: How Language Models Use Long Contexts Better via Plug-and-Play Positional Encoding Zhenyu Zhang, Runjin Chen, Shiwei Liu, Zhewei Yao, Olatunji Ruwase, Beidi Chen, Xiaoxia Wu, Zhangyang Wang
Main Conference Track
HW-GPT-Bench: Hardware-Aware Architecture Benchmark for Language Models Rhea Sanjay Sukthanker, Arber Zela, Benedikt Staffler, Aaron Klein, Lennart Purucker, Jörg K. H. Franke, Frank Hutter
Datasets and Benchmarks Track
RA-PbRL: Provably Efficient Risk-Aware Preference-Based Reinforcement Learning Yujie Zhao, Jose Efraim Aguilar Escamill, Weyl Lu, Huazheng Wang
Main Conference Track
Inferring Neural Signed Distance Functions by Overfitting on Single Noisy Point Clouds through Finetuning Data-Driven based Priors Chao Chen, Yu-Shen Liu, Zhizhong Han
Main Conference Track
Flipped Classroom: Aligning Teacher Attention with Student in Generalized Category Discovery Haonan Lin, Wenbin An, Jiahao Wang, Yan Chen, Feng Tian, Mengmeng Wang, Guang Dai, Qianying Wang, Jingdong Wang
Main Conference Track
A Canonicalization Perspective on Invariant and Equivariant Learning George Ma, Yifei Wang, Derek Lim, Stefanie Jegelka, Yisen Wang
Main Conference Track
TEG-DB: A Comprehensive Dataset and Benchmark of Textual-Edge Graphs Zhuofeng Li, Zixing Gou, Xiangnan Zhang, Zhongyuan Liu, Sirui Li, Yuntong Hu, Chen Ling, Zheng Zhang, Liang Zhao
Datasets and Benchmarks Track
Neural Conditional Probability for Uncertainty Quantification Vladimir R. Kostic, Karim Lounici, Grégoire Pacreau, Giacomo Turri, Pietro Novelli, Massimiliano Pontil
Main Conference Track
DDR: Exploiting Deep Degradation Response as Flexible Image Descriptor Juncheng Wu, Zhangkai Ni, Hanli Wang, Wenhan Yang, Yuyin Zhou, Shiqi Wang
Main Conference Track
Tree of Attacks: Jailbreaking Black-Box LLMs Automatically Anay Mehrotra, Manolis Zampetakis, Paul Kassianik, Blaine Nelson, Hyrum Anderson, Yaron Singer, Amin Karbasi
Main Conference Track
Repurposing Language Models into Embedding Models: Finding the Compute-Optimal Recipe Albert Q. Jiang, Alicja Ziarko, Bartosz Piotrowski, Wenda Li, Mateja Jamnik, Piotr Miłoś
Main Conference Track
Diffusion Priors for Variational Likelihood Estimation and Image Denoising Jun Cheng, Shan Tan
Main Conference Track
Exploring the Edges of Latent State Clusters for Goal-Conditioned Reinforcement Learning Yuanlin Duan, Guofeng Cui, He Zhu
Main Conference Track
Spec-Gaussian: Anisotropic View-Dependent Appearance for 3D Gaussian Splatting Ziyi Yang, Xinyu Gao, Yang-Tian Sun, Yi-Hua Huang, Xiaoyang Lyu, Wen Zhou, Shaohui Jiao, Xiaojuan Qi, Xiaogang Jin
Main Conference Track
$\textit{Trans-LoRA}$: towards data-free Transferable Parameter Efficient Finetuning Runqian Wang, Soumya Ghosh, David Cox, Diego Antognini, Aude Oliva, Rogerio Feris, Leonid Karlinsky
Main Conference Track
PACE: Marrying generalization in PArameter-efficient fine-tuning with Consistency rEgularization Yao Ni, Shan Zhang, Piotr Koniusz
Main Conference Track
Real-Time Selection Under General Constraints via Predictive Inference Yuyang Huo, Lin Lu, Haojie Ren, Changliang Zou
Main Conference Track
Unsupervised Homography Estimation on Multimodal Image Pair via Alternating Optimization Sanghyeob Song, Jaihyun Lew, Hyemi Jang, Sungroh Yoon
Main Conference Track
Self-Supervised Alignment with Mutual Information: Learning to Follow Principles without Preference Labels Jan-Philipp Fränken, Eric Zelikman, Rafael Rafailov, Kanishk Gandhi, Tobias Gerstenberg, Noah D. Goodman
Main Conference Track
Talking Heads: Understanding Inter-Layer Communication in Transformer Language Models Jack Merullo, Carsten Eickhoff, Ellie Pavlick
Main Conference Track
The Fine-Grained Complexity of Gradient Computation for Training Large Language Models Josh Alman, Zhao Song
Main Conference Track
Learning Cut Generating Functions for Integer Programming Hongyu Cheng, Amitabh Basu
Main Conference Track
Worst-Case Offline Reinforcement Learning with Arbitrary Data Support Kohei Miyaguchi
Main Conference Track
Fairness without Harm: An Influence-Guided Active Sampling Approach Jinlong Pang, Jialu Wang, Zhaowei Zhu, Yuanshun Yao, Chen Qian, Yang Liu
Main Conference Track
Opponent Modeling with In-context Search Yuheng Jing, Bingyun Liu, Kai Li, Yifan Zang, Haobo Fu, Qiang Fu, Junliang Xing, Jian Cheng
Main Conference Track
On Sampling Strategies for Spectral Model Sharding Denis Korzhenkov, Christos Louizos
Main Conference Track
S-SOS: Stochastic Sum-Of-Squares for Parametric Polynomial Optimization Richard L. Zhu, Mathias Oster, Yuehaw Khoo
Main Conference Track
TopoLogic: An Interpretable Pipeline for Lane Topology Reasoning on Driving Scenes Yanping Fu, Wenbin Liao, Xinyuan Liu, Hang Xu, Yike Ma, Yucheng Zhang, Feng Dai
Main Conference Track
Detecting and Measuring Confounding Using Causal Mechanism Shifts Abbavaram Gowtham Reddy, Vineeth N Balasubramanian
Main Conference Track
Robust Gaussian Processes via Relevance Pursuit Sebastian Ament, Elizabeth Santorella, David Eriksson, Ben Letham, Maximilian Balandat, Eytan Bakshy
Main Conference Track
No "Zero-Shot" Without Exponential Data: Pretraining Concept Frequency Determines Multimodal Model Performance Vishaal Udandarao, Ameya Prabhu, Adhiraj Ghosh, Yash Sharma, Philip H.S. Torr, Adel Bibi, Samuel Albanie, Matthias Bethge
Main Conference Track
On the Minimax Regret for Contextual Linear Bandits and Multi-Armed Bandits with Expert Advice Shinji Ito
Main Conference Track
Gradient Rewiring for Editable Graph Neural Network Training Zhimeng Jiang, Zirui Liu, Xiaotian Han, Qizhang Feng, Hongye Jin, Qiaoyu Tan, Kaixiong Zhou, Na Zou, Xia Hu
Main Conference Track
Understanding Bias in Large-Scale Visual Datasets Boya Zeng, Yida Yin, Zhuang Liu
Main Conference Track
4M-21: An Any-to-Any Vision Model for Tens of Tasks and Modalities Roman Bachmann, Oğuzhan Fatih Kar, David Mizrahi, Ali Garjani, Mingfei Gao, David Griffiths, Jiaming Hu, Afshin Dehghan, Amir Zamir
Main Conference Track
BOLD: Boolean Logic Deep Learning Van Minh Nguyen, Cristian Ocampo, Aymen Askri, Louis Leconte, Ba-Hien Tran
Main Conference Track
Unifying Generation and Prediction on Graphs with Latent Graph Diffusion Cai Zhou, Xiyuan Wang, Muhan Zhang
Main Conference Track
Template-free Articulated Gaussian Splatting for Real-time Reposable Dynamic View Synthesis Diwen Wan, Yuxiang Wang, Ruijie Lu, Gang Zeng
Main Conference Track
DART-Eval: A Comprehensive DNA Language Model Evaluation Benchmark on Regulatory DNA Aman Patel, Arpita Singhal, Austin Wang, Anusri Pampari, Maya Kasowski, Anshul Kundaje
Datasets and Benchmarks Track
MAN TruckScenes: A multimodal dataset for autonomous trucking in diverse conditions Felix Fent, Fabian Kuttenreich, Florian Ruch, Farija Rizwin, Stefan Juergens, Lorenz Lechermann, Christian Nissler, Andrea Perl, Ulrich Voll, Min Yan, Markus Lienkamp
Datasets and Benchmarks Track
Rethinking The Training And Evaluation of Rich-Context Layout-to-Image Generation Jiaxin Cheng, Zixu Zhao, Tong He, Tianjun Xiao, Zheng Zhang, Yicong Zhou
Main Conference Track
Facilitating Multimodal Classification via Dynamically Learning Modality Gap Yang Yang, Fengqiang Wan, Qing-Yuan Jiang, Yi Xu
Main Conference Track
Periodic agent-state based Q-learning for POMDPs Amit Sinha, Matthieu Geist, Aditya Mahajan
Main Conference Track
Make Your LLM Fully Utilize the Context Shengnan An, Zexiong Ma, Zeqi Lin, Nanning Zheng, Jian-Guang Lou, Weizhu Chen
Main Conference Track
Vivid-ZOO: Multi-View Video Generation with Diffusion Model Bing Li, Cheng Zheng, Wenxuan Zhu, Jinjie Mai, Biao Zhang, Peter Wonka, Bernard Ghanem
Main Conference Track
Boosting Vision-Language Models with Transduction Maxime Zanella, Benoît Gérin, Ismail Ben Ayed
Main Conference Track
Nature-Inspired Local Propagation Alessandro Betti, Marco Gori
Main Conference Track
Regularizing Hidden States Enables Learning Generalizable Reward Model for LLMs Rui Yang, Ruomeng Ding, Yong Lin, Huan Zhang, Tong Zhang
Main Conference Track
OSLO: One-Shot Label-Only Membership Inference Attacks Yuefeng Peng, Jaechul Roh, Subhransu Maji, Amir Houmansadr
Main Conference Track
DistillNeRF: Perceiving 3D Scenes from Single-Glance Images by Distilling Neural Fields and Foundation Model Features Letian Wang, Seung Wook Kim, Jiawei Yang, Cunjun Yu, Boris Ivanovic, Steven Waslander, Yue Wang, Sanja Fidler, Marco Pavone, Peter Karkus
Main Conference Track
The Feature Speed Formula: a flexible approach to scale hyper-parameters of deep neural networks Lénaïc Chizat, Praneeth Netrapalli
Main Conference Track
On the Power of Decision Trees in Auto-Regressive Language Modeling Yulu Gan, Tomer Galanti, Tomaso Poggio, Eran Malach
Main Conference Track
HardCore Generation: Generating Hard UNSAT Problems for Data Augmentation Joseph Cotnareanu, Zhanguang Zhang, Hui-Ling Zhen, Yingxue Zhang, Mark Coates
Main Conference Track
The Mamba in the Llama: Distilling and Accelerating Hybrid Models Junxiong Wang, Daniele Paliotta, Avner May, Alexander M. Rush, Tri Dao
Main Conference Track
Expectation Alignment: Handling Reward Misspecification in the Presence of Expectation Mismatch Malek Mechergui, Sarath Sreedharan
Main Conference Track
BendVLM: Test-Time Debiasing of Vision-Language Embeddings Walter Gerych, Haoran Zhang, Kimia Hamidieh, Eileen Pan, Maanas Sharma, Thomas Hartvigsen, Marzyeh Ghassemi
Main Conference Track
An Analysis of Tokenization: Transformers under Markov Data Nived Rajaraman, Jiantao Jiao, Kannan Ramchandran
Main Conference Track
SGLang: Efficient Execution of Structured Language Model Programs Lianmin Zheng, Liangsheng Yin, Zhiqiang Xie, Chuyue Sun, Jeff Huang, Cody Hao Yu, Shiyi Cao, Christos Kozyrakis, Ion Stoica, Joseph E. Gonzalez, Clark Barrett, Ying Sheng
Main Conference Track
The Closeness of In-Context Learning and Weight Shifting for Softmax Regression Shuai Li, Zhao Song, Yu Xia, Tong Yu, Tianyi Zhou
Main Conference Track
Induced Model Matching: Restricted Models Help Train Full-Featured Models Usama Muneeb, Mesrob I. Ohannessian
Main Conference Track
The ALCHEmist: Automated Labeling 500x CHEaper than LLM Data Annotators Tzu-Heng Huang, Catherine Cao, Vaishnavi Bhargava, Frederic Sala
Main Conference Track
SpikeReveal: Unlocking Temporal Sequences from Real Blurry Inputs with Spike Streams Kang Chen, Shiyan Chen, Jiyuan Zhang, Baoyue Zhang, Yajing Zheng, Tiejun Huang, Zhaofei Yu
Main Conference Track
Are Large Language Models Good Statisticians? Yizhang Zhu, Shiyin Du, Boyan Li, Yuyu Luo, Nan Tang
Datasets and Benchmarks Track
PTQ4DiT: Post-training Quantization for Diffusion Transformers Junyi Wu, Haoxuan Wang, Yuzhang Shang, Mubarak Shah, Yan Yan
Main Conference Track
B-cosification: Transforming Deep Neural Networks to be Inherently Interpretable Shreyash Arya, Sukrut Rao, Moritz Böhle, Bernt Schiele
Main Conference Track
SelfCodeAlign: Self-Alignment for Code Generation Yuxiang Wei, Federico Cassano, Jiawei Liu, Yifeng Ding, Naman Jain, Zachary Mueller, Harm de Vries, Leandro von Werra, Arjun Guha, Lingming Zhang
Main Conference Track
A Cross-Domain Benchmark for Active Learning Thorben Werner, Johannes Burchert, Maximilian Stubbemann, Lars Schmidt-Thieme
Datasets and Benchmarks Track
SPARKLE: A Unified Single-Loop Primal-Dual Framework for Decentralized Bilevel Optimization Shuchen Zhu, Boao Kong, Songtao Lu, Xinmeng Huang, Kun Yuan
Main Conference Track
Mitigating Partial Observability in Sequential Decision Processes via the Lambda Discrepancy Cameron Allen, Aaron Kirtland, Ruo Yu Tao, Sam Lobel, Daniel Scott, Nicholas Petrocelli, Omer Gottesman, Ronald Parr, Michael L. Littman, George Konidaris
Main Conference Track
The Edge-of-Reach Problem in Offline Model-Based Reinforcement Learning Anya Sims, Cong Lu, Jakob N. Foerster, Yee Whye Teh
Main Conference Track
UGC: Universal Graph Coarsening Mohit Kataria, Sandeep Kumar, Jayadeva
Main Conference Track
Improving the Training of Rectified Flows Sangyun Lee, Zinan Lin, Giulia Fanti
Main Conference Track
JourneyBench: A Challenging One-Stop Vision-Language Understanding Benchmark of Generated Images Zhecan Wang, Junzhang Liu, Chia-Wei Tang, Hani Alomari, Anushka Sivakumar, Rui Sun, Wenhao Li, Md. Atabuzzaman, Hammad Ayyubi, Haoxuan You, Alvi Ishmam, Kai-Wei Chang, Shih-Fu Chang, Chris Thomas
Datasets and Benchmarks Track
A robust inlier identification algorithm for point cloud registration via $\mathbf{\ell_0}$-minimization Yinuo Jiang, Xiuchuan Tang, Cheng Cheng, Ye Yuan
Main Conference Track
Score-based generative models are provably robust: an uncertainty quantification perspective Nikiforos Mimikos-Stamatopoulos, Benjamin J. Zhang, Markos A. Katsoulakis
Main Conference Track
Distributional Reinforcement Learning with Regularized Wasserstein Loss Ke Sun, Yingnan Zhao, Wulong Liu, Bei Jiang, Linglong Kong
Main Conference Track
CryoGEM: Physics-Informed Generative Cryo-Electron Microscopy Jiakai Zhang, Qihe Chen, Yan Zeng, Wenyuan Gao, Xuming He, Zhijie Liu, Jingyi Yu
Main Conference Track
Semi-Open 3D Object Retrieval via Hierarchical Equilibrium on Hypergraph Yang Xu, Yifan Feng, Jun Zhang, Jun-Hai Yong, Yue Gao
Main Conference Track
Task-recency bias strikes back: Adapting covariances in Exemplar-Free Class Incremental Learning Grzegorz Rypeść, Sebastian Cygert, Tomasz Trzciński, Bartłomiej Twardowski
Main Conference Track
ScaleKD: Strong Vision Transformers Could Be Excellent Teachers Jiawei Fan, Chao Li, Xiaolong Liu, Anbang Yao
Main Conference Track
Unscrambling disease progression at scale: fast inference of event permutations with optimal transport Peter A. Wijeratne, Daniel C. Alexander
Main Conference Track
Provably Transformers Harness Multi-Concept Word Semantics for Efficient In-Context Learning Dake Bu, Wei Huang, Andi Han, Atsushi Nitanda, Taiji Suzuki, Qingfu Zhang, Hau-San Wong
Main Conference Track
Differentially Private Optimization with Sparse Gradients Badih Ghazi, Cristóbal Guzmán, Pritish Kamath, Ravi Kumar, Pasin Manurangsi
Main Conference Track
Fourier-enhanced Implicit Neural Fusion Network for Multispectral and Hyperspectral Image Fusion Yu-Jie Liang, Zihan Cao, Shangqi Deng, Hong-Xia Dou, Liang-Jian Deng
Main Conference Track
Learning Linear Causal Representations from General Environments: Identifiability and Intrinsic Ambiguity Jikai Jin, Vasilis Syrgkanis
Main Conference Track
Self-Retrieval: End-to-End Information Retrieval with One Large Language Model Qiaoyu Tang, Jiawei Chen, Zhuoqun Li, Bowen Yu, Yaojie Lu, Cheng Fu, Haiyang Yu, Hongyu Lin, Fei Huang, Ben He, Xianpei Han, Le Sun, Yongbin Li
Main Conference Track
Conformal Inverse Optimization Bo Lin, Erick Delage, Timothy C. Y. Chan
Main Conference Track
Alignment for Honesty Yuqing Yang, Ethan Chern, Xipeng Qiu, Graham Neubig, Pengfei Liu
Main Conference Track
ODGEN: Domain-specific Object Detection Data Generation with Diffusion Models Jingyuan Zhu, Shiyu Li, Yuxuan Liu, Jian Yuan, Ping Huang, Jiulong Shan, Huimin Ma
Main Conference Track
Language Models as Zero-shot Lossless Gradient Compressors: Towards General Neural Parameter Prior Models Hui-Po Wang, Mario Fritz
Main Conference Track
When to Sense and Control? A Time-adaptive Approach for Continuous-Time RL Lenart Treven, Bhavya Sukhija, Yarden As, Florian Dörfler, Andreas Krause
Main Conference Track
Efficient Multi-task LLM Quantization and Serving for Multiple LoRA Adapters Yifei Xia, Fangcheng Fu, Wentao Zhang, Jiawei Jiang, Bin Cui
Main Conference Track
Adversarial Environment Design via Regret-Guided Diffusion Models Hojun Chung, Junseo Lee, Minsoo Kim, Dohyeong Kim, Songhwai Oh
Main Conference Track
Generalizable Implicit Motion Modeling for Video Frame Interpolation Zujin Guo, Wei Li, Chen Change Loy
Main Conference Track
SurgicAI: A Hierarchical Platform for Fine-Grained Surgical Policy Learning and Benchmarking Jin Wu, Haoying Zhou, Peter Kazanzides, Adnan Munawar, Anqi Liu
Datasets and Benchmarks Track
Provable Partially Observable Reinforcement Learning with Privileged Information Yang Cai, Xiangyu Liu, Argyris Oikonomou, Kaiqing Zhang
Main Conference Track
T2VSafetyBench: Evaluating the Safety of Text-to-Video Generative Models Yibo Miao, Yifan Zhu, Lijia Yu, Jun Zhu, Xiao-Shan Gao, Yinpeng Dong
Datasets and Benchmarks Track
Noise-Aware Differentially Private Regression via Meta-Learning Ossi Räisä, Stratis Markou, Matthew Ashman, Wessel P. Bruinsma, Marlon Tobaben, Antti Honkela, Richard E. Turner
Main Conference Track
ReFT: Representation Finetuning for Language Models Zhengxuan Wu, Aryaman Arora, Zheng Wang, Atticus Geiger, Dan Jurafsky, Christopher D. Manning, Christopher Potts
Main Conference Track
Training Binary Neural Networks via Gaussian Variational Inference and Low-Rank Semidefinite Programming Lorenzo Orecchia, Jiawei Hu, Xue He, Zhe Wang, Xulei Yang, Min Wu, Xue Geng
Main Conference Track
SMART: Towards Pre-trained Missing-Aware Model for Patient Health Status Prediction Zhihao Yu, Xu Chu, Yujie Jin, Yasha Wang, Junfeng Zhao
Main Conference Track
Me, Myself, and AI: The Situational Awareness Dataset (SAD) for LLMs Rudolf Laine, Bilal Chughtai, Jan Betley, Kaivalya Hariharan, Jérémy Scheurer, Mikita Balesni, Marius Hobbhahn, Alexander Meinke, Owain Evans
Datasets and Benchmarks Track
BMRS: Bayesian Model Reduction for Structured Pruning Dustin Wright, Christian Igel, Raghavendra Selvan
Main Conference Track
SOFTS: Efficient Multivariate Time Series Forecasting with Series-Core Fusion Lu Han, Xu-Yang Chen, Han-Jia Ye, De-Chuan Zhan
Main Conference Track
MO-DDN: A Coarse-to-Fine Attribute-based Exploration Agent for Multi-Object Demand-driven Navigation Hongcheng Wang, Peiqi Liu, Wenzhe Cai, Mingdong Wu, Zhengyu Qian, Hao Dong
Main Conference Track
The Sample Complexity of Gradient Descent in Stochastic Convex Optimization Roi Livni, Amir, Koren, Livni, Schliserman, Sherman, Koren, Shalev-Shwartz, Shamir, Srebro, Sridharan
Main Conference Track
Fight Back Against Jailbreaking via Prompt Adversarial Tuning Yichuan Mo, Yuji Wang, Zeming Wei, Yisen Wang
Main Conference Track
The Evolution of Statistical Induction Heads: In-Context Learning Markov Chains Ezra Edelman, Nikolaos Tsilivis, Benjamin L. Edelman, Eran Malach, Surbhi Goel
Main Conference Track
Leveraging Tumor Heterogeneity: Heterogeneous Graph Representation Learning for Cancer Survival Prediction in Whole Slide Images Junxian Wu, Xinyi Ke, Xiaoming Jiang, Huanwen Wu, Youyong Kong, Lizhi Shao
Main Conference Track
Paloma: A Benchmark for Evaluating Language Model Fit Ian Magnusson, Akshita Bhagia, Valentin Hofmann, Luca Soldaini, Ananya Harsh Jha, Oyvind Tafjord, Dustin Schwenk, Evan Pete Walsh, Yanai Elazar, Kyle Lo, Dirk Groeneveld, Iz Beltagy, Hannaneh Hajishirzi, Noah A. Smith, Kyle Richardson, Jesse Dodge
Datasets and Benchmarks Track
Flipping-based Policy for Chance-Constrained Markov Decision Processes Xun Shen, Shuo Jiang, Akifumi Wachi, Kazumune Hashimoto, Sebastien Gros
Main Conference Track
Memory-Efficient LLM Training with Online Subspace Descent Kaizhao Liang, Bo Liu, Lizhang Chen, Qiang Liu
Main Conference Track
Map It Anywhere: Empowering BEV Map Prediction using Large-scale Public Datasets Cherie Ho, Jiaye Zou, Omar Alama, Sai Mitheran Jagadesh Kumar, Benjamin Chiang, Taneesh Gupta, Chen Wang, Nikhil Keetha, Katia Sycara, Sebastian Scherer
Datasets and Benchmarks Track
Learning Distinguishable Trajectory Representation with Contrastive Loss Tianxu Li, Kun Zhu, Juan Li, Yang Zhang
Main Conference Track
HEALNet: Multimodal Fusion for Heterogeneous Biomedical Data Konstantin Hemker, Nikola Simidjievski, Mateja Jamnik
Main Conference Track
Stochastic contextual bandits with graph feedback: from independence number to MAS number Yuxiao Wen, Yanjun Han, Zhengyuan Zhou
Main Conference Track
Reinforcement Learning with Lookahead Information Nadav Merlis
Main Conference Track
SearchLVLMs: A Plug-and-Play Framework for Augmenting Large Vision-Language Models by Searching Up-to-Date Internet Knowledge Chuanhao Li, Zhen Li, Chenchen Jing, Shuo Liu, Wenqi Shao, Yuwei Wu, Ping Luo, Yu Qiao, Kaipeng Zhang
Main Conference Track
Drones Help Drones: A Collaborative Framework for Multi-Drone Object Trajectory Prediction and Beyond Zhechao Wang, Peirui Cheng, Mingxin Chen, Pengju Tian, Zhirui Wang, Xinming Li, Xue Yang, Xian Sun
Main Conference Track
DCDepth: Progressive Monocular Depth Estimation in Discrete Cosine Domain Kun Wang, Zhiqiang Yan, Junkai Fan, Wanlu Zhu, Xiang Li, Jun Li, Jian Yang
Main Conference Track
Queueing Matching Bandits with Preference Feedback Jung-hun Kim, Min-hwan Oh
Main Conference Track
CableInspect-AD: An Expert-Annotated Anomaly Detection Dataset Akshatha Arodi, Margaux Luck, Jean-Luc Bedwani, Aldo Zaimi, Ge Li, Nicolas Pouliot, Julien Beaudry, Gaétan Marceau Caron
Datasets and Benchmarks Track
Faster Neighborhood Attention: Reducing the O(n^2) Cost of Self Attention at the Threadblock Level Ali Hassani, Wen-mei Hwu, Humphrey Shi
Main Conference Track
ReST-MCTS*: LLM Self-Training via Process Reward Guided Tree Search Dan Zhang, Sining Zhoubian, Ziniu Hu, Yisong Yue, Yuxiao Dong, Jie Tang
Main Conference Track
A Global Depth-Range-Free Multi-View Stereo Transformer Network with Pose Embedding Yitong Dong, Yijin Li, Zhaoyang Huang, Weikang Bian, Jingbo Liu, Hujun Bao, Zhaopeng Cui, Hongsheng Li, Guofeng Zhang
Main Conference Track
Multi-Stage Predict+Optimize for (Mixed Integer) Linear Programs Xinyi Hu, Jasper C.H. Lee, Jimmy H.M. Lee, Peter J. Stuckey
Main Conference Track
Optimization Can Learn Johnson Lindenstrauss Embeddings Nikos Tsikouras, Constantine Caramanis, Christos Tzamos
Main Conference Track
Federated Graph Learning for Cross-Domain Recommendation Ziqi Yang, Zhaopeng Peng, Zihui Wang, Jianzhong Qi, Chaochao Chen, Weike Pan, Chenglu Wen, Cheng Wang, Xiaoliang Fan
Main Conference Track
Co-occurrence is not Factual Association in Language Models Xiao Zhang, Miao Li, Ji Wu
Main Conference Track
LLM-AutoDA: Large Language Model-Driven Automatic Data Augmentation for Long-tailed Problems Pengkun Wang, Zhe Zhao, Haibin Wen, Fanfu Wang, Binwu Wang, Qingfu Zhang, Yang Wang
Main Conference Track
Designs for Enabling Collaboration in Human-Machine Teaming via Interactive and Explainable Systems Rohan Paleja, Michael Munje, Kimberlee Chestnut Chang, Reed Jensen, Mathew Gombolay
Main Conference Track
Data Augmentation with Diffusion for Open-Set Semi-Supervised Learning Seonghyun Ban, Heesan Kong, Kee-Eung Kim
Main Conference Track
LoTLIP: Improving Language-Image Pre-training for Long Text Understanding Wei Wu, Kecheng Zheng, Shuailei Ma, Fan Lu, Yuxin Guo, Yifei Zhang, Wei Chen, Qingpei Guo, Yujun Shen, Zheng-Jun Zha
Main Conference Track
Rethinking Parity Check Enhanced Symmetry-Preserving Ansatz Ge Yan, Mengfei Ran, Ruocheng Wang, Kaiseng Pan, Junchi Yan
Main Conference Track
Dynamic Neural Regeneration: Enhancing Deep Learning Generalization on Small Datasets Vijaya Raghavan T Ramkumar, Elahe Arani, Bahram Zonooz
Main Conference Track
Safe LoRA: The Silver Lining of Reducing Safety Risks when Finetuning Large Language Models Chia-Yi Hsu, Yu-Lin Tsai, Chih-Hsun Lin, Pin-Yu Chen, Chia-Mu Yu, Chun-Ying Huang
Main Conference Track
Learning Structure-Aware Representations of Dependent Types Konstantinos Kogkalidis, Orestis Melkonian, Jean-Philippe Bernardy
Main Conference Track
AsCAN: Asymmetric Convolution-Attention Networks for Efficient Recognition and Generation Anil Kag, Huseyin Coskun, Jierun Chen, Junli Cao, Willi Menapace, Aliaksandr Siarohin, Sergey Tulyakov, Jian Ren
Main Conference Track
Microstructures and Accuracy of Graph Recall by Large Language Models Yanbang Wang, Hejie Cui, Jon Kleinberg
Main Conference Track
CulturePark: Boosting Cross-cultural Understanding in Large Language Models Cheng Li, Damien Teney, Linyi Yang, Qingsong Wen, Xing Xie, Jindong Wang
Main Conference Track
Robust group and simultaneous inferences for high-dimensional single index model Weichao Yang, Hongwei Shi, Xu Guo, Changliang Zou
Main Conference Track
A Separation in Heavy-Tailed Sampling: Gaussian vs. Stable Oracles for Proximal Samplers Ye He, Alireza Mousavi-Hosseini, Krishnakumar Balasubramanian, Murat A. Erdogdu
Main Conference Track
Symmetry-Informed Governing Equation Discovery Jianke Yang, Wang Rao, Nima Dehmamy, Robin Walters, Rose Yu
Main Conference Track
The Limits of Differential Privacy in Online Learning Bo Li, Wei Wang, Peng Ye
Main Conference Track
Listenable Maps for Zero-Shot Audio Classifiers Francesco Paissan, Luca Della Libera, Mirco Ravanelli, Cem Subakan
Main Conference Track
LaSCal: Label-Shift Calibration without target labels Teodora Popordanoska, Gorjan Radevski, Tinne Tuytelaars, Matthew B. Blaschko
Main Conference Track
Beyond Optimism: Exploration With Partially Observable Rewards Simone Parisi, Alireza Kazemipour, Michael Bowling
Main Conference Track
Wasserstein Distance Rivals Kullback-Leibler Divergence for Knowledge Distillation Jiaming Lv, Haoyuan Yang, Peihua Li
Main Conference Track
Sequential Decision Making with Expert Demonstrations under Unobserved Heterogeneity Vahid Balazadeh, Keertana Chidambaram, Viet Nguyen, Rahul G. Krishnan, Vasilis Syrgkanis
Main Conference Track
CoFie: Learning Compact Neural Surface Representations with Coordinate Fields Hanwen Jiang, Haitao Yang, Georgios Pavlakos, Qixing Huang
Main Conference Track
Heterogeneity-Guided Client Sampling: Towards Fast and Efficient Non-IID Federated Learning Huancheng Chen, Haris Vikalo
Main Conference Track
Learning Versatile Skills with Curriculum Masking Yao Tang, Zhihui Xie, Zichuan Lin, Deheng Ye, Shuai Li
Main Conference Track
Neural Collapse To Multiple Centers For Imbalanced Data Hongren Yan, Yuhua Qian, Furong Peng, Jiachen Luo, Zheqing Zhu, Feijiang Li
Main Conference Track
VidProM: A Million-scale Real Prompt-Gallery Dataset for Text-to-Video Diffusion Models Wenhao Wang, Yi Yang
Datasets and Benchmarks Track
NeuMA: Neural Material Adaptor for Visual Grounding of Intrinsic Dynamics Junyi Cao, Shanyan Guan, Yanhao Ge, Wei Li, Xiaokang Yang, Chao Ma
Main Conference Track
Stable-Pose: Leveraging Transformers for Pose-Guided Text-to-Image Generation Jiajun Wang, Morteza Ghahremani, Yitong Li, Björn Ommer, Christian Wachinger
Main Conference Track
Generalized Fast Exact Conformalization Diyang Li
Main Conference Track
Unleashing Multispectral Video's Potential in Semantic Segmentation: A Semi-supervised Viewpoint and New UAV-View Benchmark Wei Ji, Jingjing Li, Wenbo Li, Yilin Shen, Li Cheng, Hongxia Jin
Main Conference Track
Nonparametric Classification on Low Dimensional Manifolds using Overparameterized Convolutional Residual Networks Zixuan Zhang, Kaiqi Zhang, Minshuo Chen, Yuma Takeda, Mengdi Wang, Tuo Zhao, Yu-Xiang Wang
Main Conference Track
Amortized Planning with Large-Scale Transformers: A Case Study on Chess Anian Ruoss, Grégoire Delétang, Sourabh Medapati, Jordi Grau-Moya, Li Kevin Wenliang, Elliot Catt, John Reid, Cannada A. Lewis, Joel Veness, Tim Genewein
Main Conference Track
Doob's Lagrangian: A Sample-Efficient Variational Approach to Transition Path Sampling Yuanqi Du, Michael Plainer, Rob Brekelmans, Chenru Duan, Frank Noé, Carla P. Gomes, Alán Aspuru-Guzik, Kirill Neklyudov
Main Conference Track
On the Impact of Feature Heterophily on Link Prediction with Graph Neural Networks Jiong Zhu, Gaotang Li, Yao-An Yang, Jing Zhu, Xuehao Cui, Danai Koutra
Main Conference Track
Breaking the curse of dimensionality in structured density estimation Robert A. Vandermeulen, Wai Ming Tai, Bryon Aragam
Main Conference Track
Zipper: Addressing Degeneracy in Algorithm-Agnostic Inference Geng Chen, Yinxu Jia, Guanghui Wang, Changliang Zou
Main Conference Track
Adaptive Exploration for Data-Efficient General Value Function Evaluations Arushi Jain, Josiah P. Hanna, Doina Precup
Main Conference Track
Benchmarking PtO and PnO Methods in the Predictive Combinatorial Optimization Regime Haoyu Geng, Hang Ruan, Runzhong Wang, Yang Li, Yang Wang, Lei Chen, Junchi Yan
Datasets and Benchmarks Track
The Poisson Midpoint Method for Langevin Dynamics: Provably Efficient Discretization for Diffusion Models Saravanan Kandasamy, Dheeraj Nagaraj
Main Conference Track
Dual Risk Minimization: Towards Next-Level Robustness in Fine-tuning Zero-Shot Models Kaican Li, Weiyan Xie, Yongxiang Huang, Didan Deng, Lanqing Hong, Zhenguo Li, Ricardo Silva, Nevin L. Zhang
Main Conference Track
Language Generation in the Limit Jon Kleinberg, Sendhil Mullainathan
Main Conference Track
Model Decides How to Tokenize: Adaptive DNA Sequence Tokenization with MxDNA Lifeng Qiao, Peng Ye, Yuchen Ren, Weiqiang Bai, Chaoqi Liang, Xinzhu Ma, Nanqing Dong, Wanli Ouyang
Main Conference Track
Provably and Practically Efficient Adversarial Imitation Learning with General Function Approximation Tian Xu, Zhilong Zhang, Ruishuo Chen, Yihao Sun, Yang Yu
Main Conference Track
EGonc : Energy-based Open-Set Node Classification with substitute Unknowns Qin Zhang, Zelin Shi, Shirui Pan, Junyang Chen, Huisi Wu, Xiaojun Chen
Main Conference Track
Latent Functional Maps: a spectral framework for representation alignment Marco Fumero, Marco Pegoraro, Valentino Maiorca, Francesco Locatello, Emanuele Rodolà
Main Conference Track
Learning Neural Contracting Dynamics: Extended Linearization and Global Guarantees Sean Jaffe, Alexander Davydov, Deniz Lapsekili, Ambuj K. Singh, Francesco Bullo
Main Conference Track
Just Add $100 More: Augmenting Pseudo-LiDAR Point Cloud for Resolving Class-imbalance Problem Mincheol Chang, Siyeong Lee, Jinkyu Kim, Namil Kim
Main Conference Track
A Novel Unified Architecture for Low-Shot Counting by Detection and Segmentation Jer Pelhan, Alan Lukežič, Vitjan Zavrtanik, Matej Kristan
Main Conference Track
cPAPERS: A Dataset of Situated and Multimodal Interactive Conversations in Scientific Papers Anirudh Sundar, Jin Xu, William Gay, Christopher Richardson, Larry Heck
Datasets and Benchmarks Track
RouterDC: Query-Based Router by Dual Contrastive Learning for Assembling Large Language Models Shuhao Chen, Weisen Jiang, Baijiong Lin, James T. Kwok, Yu Zhang
Main Conference Track
Terra: A Multimodal Spatio-Temporal Dataset Spanning the Earth Wei Chen, Xixuan Hao, Yuankai Wu, Yuxuan Liang
Datasets and Benchmarks Track
OneBit: Towards Extremely Low-bit Large Language Models Yuzhuang Xu, Xu Han, Zonghan Yang, Shuo Wang, Qingfu Zhu, Zhiyuan Liu, Weidong Liu, Wanxiang Che
Main Conference Track
Chain-of-Thought Reasoning Without Prompting Xuezhi Wang, Denny Zhou
Main Conference Track
Slack-Free Spiking Neural Network Formulation for Hypergraph Minimum Vertex Cover Tam Ngoc-Bang Nguyen, Anh-Dzung Doan, Zhipeng Cai, Tat-Jun Chin
Main Conference Track
Federated Model Heterogeneous Matryoshka Representation Learning Liping Yi, Han Yu, Chao Ren, Gang Wang, Xiaoguang Liu, Xiaoxiao Li
Main Conference Track
MaskFactory: Towards High-quality Synthetic Data Generation for Dichotomous Image Segmentation Haotian Qian, YD Chen, Shengtao Lou, Fahad Shahbaz Khan, Xiaogang Jin, Deng-Ping Fan
Main Conference Track
Unveiling Induction Heads: Provable Training Dynamics and Feature Learning in Transformers Siyu Chen, Heejune Sheen, Tianhao Wang, Zhuoran Yang
Main Conference Track
Optimal Top-Two Method for Best Arm Identification and Fluid Analysis Agniv Bandyopadhyay, Sandeep Juneja, Shubhada Agrawal
Main Conference Track
Training Data Attribution via Approximate Unrolling Juhan Bae, Wu Lin, Jonathan Lorraine, Roger Grosse
Main Conference Track
Parsimony or Capability? Decomposition Delivers Both in Long-term Time Series Forecasting Jinliang Deng, Feiyang Ye, Du Yin, Xuan Song, Ivor Tsang, Hui Xiong
Main Conference Track
The Impact of Geometric Complexity on Neural Collapse in Transfer Learning Michael Munn, Benoit Dherin, Javier Gonzalvo
Main Conference Track
Smoothed Energy Guidance: Guiding Diffusion Models with Reduced Energy Curvature of Attention Susung Hong
Main Conference Track
Cross-modal Representation Flattening for Multi-modal Domain Generalization Yunfeng Fan, Wenchao Xu, Haohao Wang, Song Guo
Main Conference Track
FM-Delta: Lossless Compression for Storing Massive Fine-tuned Foundation Models Wanyi Ning, Jingyu Wang, Qi Qi, Mengde Zhu, Haifeng Sun, Daixuan Cheng, Jianxin Liao, Ce Zhang
Main Conference Track
Interpretable Concept Bottlenecks to Align Reinforcement Learning Agents Quentin Delfosse, Sebastian Sztwiertnia, Mark Rothermel, Wolfgang Stammer, Kristian Kersting
Main Conference Track
Back to the Continuous Attractor Ábel Ságodi, Guillermo Martín-Sánchez, Piotr Sokół, Il Memming Park
Main Conference Track
CriticEval: Evaluating Large-scale Language Model as Critic Tian Lan, Wenwei Zhang, Chen Xu, Heyan Huang, Dahua Lin, Kai Chen, Xian-Ling Mao
Main Conference Track
Learning Distributions on Manifolds with Free-Form Flows Peter Sorrenson, Felix Draxler, Armand Rousselot, Sander Hummerich, Ullrich Köthe
Main Conference Track
Truthful High Dimensional Sparse Linear Regression Liyang Zhu, Amina Manseur, Meng Ding, Jinyan Liu, Jinhui Xu, Di Wang
Main Conference Track
Exploratory Retrieval-Augmented Planning For Continual Embodied Instruction Following Minjong Yoo, Jinwoo Jang, Wei-jin Park, Honguk Woo
Main Conference Track
Divide-and-Conquer Meets Consensus: Unleashing the Power of Functions in Code Generation Jingchang Chen, Hongxuan Tang, Zheng Chu, Qianglong Chen, Zekun Wang, Ming Liu, Bing Qin
Main Conference Track
Navigating the Maze of Explainable AI: A Systematic Approach to Evaluating Methods and Metrics Lukas Klein, Carsten Lüth, Udo Schlegel, Till Bungert, Mennatallah El-Assady, Paul Jäger
Datasets and Benchmarks Track
TrackIME: Enhanced Video Point Tracking via Instance Motion Estimation Seong Hyeon Park, Huiwon Jang, Byungwoo Jeon, Sukmin Yun, Paul Hongsuck Seo, Jinwoo Shin
Main Conference Track
Knowledge-Empowered Dynamic Graph Network for Irregularly Sampled Medical Time Series Yicheng Luo, Zhen Liu, Linghao Wang, Junhao Zheng, Binquan Wu, Qianli Ma
Main Conference Track
UDA: A Benchmark Suite for Retrieval Augmented Generation in Real-World Document Analysis Yulong Hui, Yao Lu, Huanchen Zhang
Datasets and Benchmarks Track
OptEx: Expediting First-Order Optimization with Approximately Parallelized Iterations Yao Shu, Jiongfeng Fang, Ying Tiffany He, Fei Richard Yu
Main Conference Track
Muscles in Time: Learning to Understand Human Motion In-Depth by Simulating Muscle Activations David Schneider, Simon Reiß, Marco Kugler, Alexander Jaus, Kunyu Peng, Susanne Sutschet, M. Saquib Sarfraz, Sven Matthiesen, Rainer Stiefelhagen
Datasets and Benchmarks Track
HHD-GP: Incorporating Helmholtz-Hodge Decomposition into Gaussian Processes for Learning Dynamical Systems Hao Xu, Jia Pan
Main Conference Track
Knowledge Composition using Task Vectors with Learned Anisotropic Scaling Frederic Z. Zhang, Paul Albert, Cristian Rodriguez-Opazo, Anton van den Hengel, Ehsan Abbasnejad
Main Conference Track
UniFL: Improve Latent Diffusion Model via Unified Feedback Learning Jiacheng Zhang, Jie Wu, Yuxi Ren, Xin Xia, Huafeng Kuang, Pan Xie, Jiashi Li, Xuefeng Xiao, Weilin Huang, Shilei Wen, Lean Fu, Guanbin Li
Main Conference Track
Learning a Single Neuron Robustly to Distributional Shifts and Adversarial Label Noise Shuyao Li, Sushrut Karmalkar, Ilias Diakonikolas, Jelena Diakonikolas
Main Conference Track
SpikedAttention: Training-Free and Fully Spike-Driven Transformer-to-SNN Conversion with Winner-Oriented Spike Shift for Softmax Operation Sangwoo Hwang, Seunghyun Lee, Dahoon Park, Donghun Lee, Jaeha Kung
Main Conference Track
Deep Correlated Prompting for Visual Recognition with Missing Modalities Lianyu Hu, Tongkai Shi, Wei Feng, Fanhua Shang, Liang Wan
Main Conference Track
Partial observation can induce mechanistic mismatches in data-constrained models of neural dynamics William Qian, Jacob A. Zavatone-Veth, Benjamin S. Ruben, Cengiz Pehlevan
Main Conference Track
GraphVis: Boosting LLMs with Visual Knowledge Graph Integration Yihe Deng, Chenchen Ye, Zijie Huang, Mingyu Derek Ma, Yiwen Kou, Wei Wang
Main Conference Track
PACE: Pacing Operator Learning to Accurate Optical Field Simulation for Complicated Photonic Devices Hanqing Zhu, Wenyan Cong, Guojin Chen, Shupeng Ning, Ray T. Chen, Jiaqi Gu, David Z. Pan
Main Conference Track
Evidential Stochastic Differential Equations for Time-Aware Sequential Recommendation Krishna Prasad Neupane, Ervine Zheng, Qi Yu
Main Conference Track
Architect: Generating Vivid and Interactive 3D Scenes with Hierarchical 2D Inpainting Yian Wang, Xiaowen Qiu, Jiageng Liu, Zhehuan Chen, Jiting Cai, Yufei Wang, Tsun-Hsuan Wang, Zhou Xian, Chuang Gan
Main Conference Track
Zero-Shot Transfer of Neural ODEs Tyler Ingebrand, Adam J. Thorpe, Ufuk Topcu
Main Conference Track
ACES: Generating a Diversity of Challenging Programming Puzzles with Autotelic Generative Models Julien Pourcel, Cédric Colas, Gaia Molinaro, Pierre-Yves Oudeyer, Laetitia Teodorescu
Main Conference Track
Subwords as Skills: Tokenization for Sparse-Reward Reinforcement Learning David Yunis, Justin Jung, Falcon Z. Dai, Matthew R. Walter
Main Conference Track
Beware of Road Markings: A New Adversarial Patch Attack to Monocular Depth Estimation Hangcheng Liu, Zhenhu Wu, Hao Wang, Xingshuo Han, Shangwei Guo, Tao Xiang, Tianwei Zhang
Main Conference Track
Do LLMs dream of elephants (when told not to)? Latent concept association and associative memory in transformers Yibo Jiang, Goutham Rajendran, Pradeep Ravikumar, Bryon Aragam
Main Conference Track
BLoB: Bayesian Low-Rank Adaptation by Backpropagation for Large Language Models Yibin Wang, Haizhou Shi, Ligong Han, Dimitris Metaxas, Hao Wang
Main Conference Track
BoostAdapter: Improving Vision-Language Test-Time Adaptation via Regional Bootstrapping Taolin Zhang, Jinpeng Wang, Hang Guo, Tao Dai, Bin Chen, Shu-tao Xia
Main Conference Track
$\textit{NeuroPath}$: A Neural Pathway Transformer for Joining the Dots of Human Connectomes Ziquan Wei, Tingting Dan, Jiaqi Ding, Guorong Wu
Main Conference Track
FuseMoE: Mixture-of-Experts Transformers for Fleximodal Fusion Xing Han, Huy Nguyen, Carl Harris, Nhat Ho, Suchi Saria
Main Conference Track
SLIM: Style-Linguistics Mismatch Model for Generalized Audio Deepfake Detection Yi Zhu, Surya Koppisetti, Trang Tran, Gaurav Bharaj
Main Conference Track
Long-Horizon Planning for Multi-Agent Robots in Partially Observable Environments Siddharth Nayak, Adelmo Morrison Orozco, Marina Ten Have, Vittal Thirumalai, Jackson Zhang, Darren Chen, Aditya Kapoor, Eric Robinson, Karthik Gopalakrishnan, James Harrison, Brian Ichter, Anuj Mahajan, Hamsa Balakrishnan
Main Conference Track
Abductive Reasoning in Logical Credal Networks Radu Marinescu, Junkyu Lee, Debarun Bhattacharjya, Fabio Cozman, Alexander Gray
Main Conference Track
GSGAN: Adversarial Learning for Hierarchical Generation of 3D Gaussian Splats Sangeek Hyun, Jae-Pil Heo
Main Conference Track
Optimization Algorithm Design via Electric Circuits Stephen P. Boyd, Tetiana Parshakova, Ernest K. Ryu, Jaewook J. Suh
Main Conference Track
iVideoGPT: Interactive VideoGPTs are Scalable World Models Jialong Wu, Shaofeng Yin, Ningya Feng, Xu He, Dong Li, Jianye Hao, Mingsheng Long
Main Conference Track
Smoothed Online Classification can be Harder than Batch Classification Vinod Raman, Unique Subedi, Ambuj Tewari
Main Conference Track
Optimal Classification under Performative Distribution Shift Edwige Cyffers, Muni Sreenivas Pydi, Jamal Atif, Oliver Cappé
Main Conference Track
IndicVoices-R: Unlocking a Massive Multilingual Multi-speaker Speech Corpus for Scaling Indian TTS Ashwin Sankar, Srija Anand, Praveen Srinivasa Varadhan, Sherry Thomas, Mehak Singal, Shridhar Kumar, Deovrat Mehendale, Aditi Krishana, Giri Raju, Mitesh Khapra
Datasets and Benchmarks Track
Improving Robustness of 3D Point Cloud Recognition from a Fourier Perspective Yibo Miao, Yinpeng Dong, Jinlai Zhang, Lijia Yu, Xiao Yang, Xiao-Shan Gao
Main Conference Track
Deep Graph Neural Networks via Posteriori-Sampling-based Node-Adaptative Residual Module Jingbo Zhou, Yixuan Du, Ruqiong Zhang, Jun Xia, Zhizhi Yu, Zelin Zang, Di Jin, Carl Yang, Rui Zhang, Stan Z. Li
Main Conference Track
John Ellipsoids via Lazy Updates David P. Woodruff, Taisuke Yasuda
Main Conference Track
Inversion-based Latent Bayesian Optimization Jaewon Chu, Jinyoung Park, Seunghun Lee, Hyunwoo J. Kim
Main Conference Track
ZipCache: Accurate and Efficient KV Cache Quantization with Salient Token Identification Yefei He, Luoming Zhang, Weijia Wu, Jing Liu, Hong Zhou, Bohan Zhuang
Main Conference Track
Policy Aggregation Parand A. Alamdari, Soroush Ebadian, Ariel D. Procaccia
Main Conference Track
When is an Embedding Model More Promising than Another? Maxime DARRIN, Philippe FORMONT, Ismail BEN AYED, Jackie Chi Kit CHEUNG, Pablo PIANTANIDA
Main Conference Track
Sample-Efficient Constrained Reinforcement Learning with General Parameterization Washim Uddin Mondal, Vaneet Aggarwal
Main Conference Track
What Is Missing For Graph Homophily? Disentangling Graph Homophily For Graph Neural Networks Yilun Zheng, Sitao Luan, Lihui Chen
Main Conference Track
HDR-GS: Efficient High Dynamic Range Novel View Synthesis at 1000x Speed via Gaussian Splatting Yuanhao Cai, Zihao Xiao, Yixun Liang, Minghan Qin, Yulun Zhang, Xiaokang Yang, Yaoyao Liu, Alan Yuille
Main Conference Track
GraphMorph: Tubular Structure Extraction by Morphing Predicted Graphs Zhao Zhang, Ziwei Zhao, Dong Wang, Liwei Wang
Main Conference Track
Revisiting Ensembling in One-Shot Federated Learning Youssef Allouah, Akash Dhasade, Rachid Guerraoui, Nirupam Gupta, Anne-Marie Kermarrec, Rafael Pinot, Rafael Pires, Rishi Sharma
Main Conference Track
Few-Shot Diffusion Models Escape the Curse of Dimensionality Ruofeng Yang, Bo Jiang, Cheng Chen, Ruinan Jin, Baoxiang Wang, Shuai Li
Main Conference Track
Safetywashing: Do AI Safety Benchmarks Actually Measure Safety Progress? Richard Ren, Steven Basart, Adam Khoja, Alexander Pan, Alice Gatti, Long Phan, Xuwang Yin, Mantas Mazeika, Gabriel Mukobi, Ryan Hwang Kim, Stephen Fitz, Dan Hendrycks
Datasets and Benchmarks Track
Binocular-Guided 3D Gaussian Splatting with View Consistency for Sparse View Synthesis Liang Han, Junsheng Zhou, Yu-Shen Liu, Zhizhong Han
Main Conference Track
Solving Zero-Sum Markov Games with Continuous State via Spectral Dynamic Embedding Chenhao Zhou, Zebang Shen, Chao Zhang, Hanbin Zhao, Hui Qian
Main Conference Track
FlashAttention-3: Fast and Accurate Attention with Asynchrony and Low-precision Jay Shah, Ganesh Bikshandi, Ying Zhang, Vijay Thakkar, Pradeep Ramani, Tri Dao
Main Conference Track
Factorized Diffusion Architectures for Unsupervised Image Generation and Segmentation Xin Yuan, Michael Maire
Main Conference Track
Group and Shuffle: Efficient Structured Orthogonal Parametrization Mikhail Gorbunov, Nikolay Yudin, Vera Soboleva, Aibek Alanov, Alexey Naumov, Maxim Rakhuba
Main Conference Track
Scaling transformer neural networks for skillful and reliable medium-range weather forecasting Tung Nguyen, Rohan Shah, Hritik Bansal, Troy Arcomano, Romit Maulik, Veerabhadra Kotamarthi, Ian Foster, Sandeep Madireddy, Aditya Grover
Main Conference Track
LLM Evaluators Recognize and Favor Their Own Generations Arjun Panickssery, Samuel R. Bowman, Shi Feng
Main Conference Track
SpatialPIN: Enhancing Spatial Reasoning Capabilities of Vision-Language Models through Prompting and Interacting 3D Priors Chenyang Ma, Kai Lu, Ta-Ying Cheng, Niki Trigoni, Andrew Markham
Main Conference Track
Reasons and Solutions for the Decline in Model Performance after Editing Xiusheng Huang, Jiaxiang Liu, Yequan Wang, Kang Liu
Main Conference Track
Changing the Training Data Distribution to Reduce Simplicity Bias Improves In-distribution Generalization Tuan Hai Dang Nguyen, Paymon Haddad, Eric Gan, Baharan Mirzasoleiman
Main Conference Track
P$^2$C$^2$Net: PDE-Preserved Coarse Correction Network for efficient prediction of spatiotemporal dynamics Qi Wang, Pu Ren, Hao Zhou, Xin-Yang Liu, Zhiwen Deng, Yi Zhang, Ruizhi Chengze, Hongsheng Liu, Zidong Wang, Jian-Xun Wang, Ji-Rong Wen, Hao Sun, Yang Liu
Main Conference Track
Approximation Rate of the Transformer Architecture for Sequence Modeling Haotian Jiang, Qianxiao Li
Main Conference Track
Consistency of Neural Causal Partial Identification Jiyuan Tan, Jose Blanchet, Vasilis Syrgkanis
Main Conference Track
SpeAr: A Spectral Approach for Zero-Shot Node Classification Ting Guo, Da Wang, Jiye Liang, Kaihan Zhang, Jianchao Zeng
Main Conference Track
On the Worst Prompt Performance of Large Language Models Bowen Cao, Deng Cai, Zhisong Zhang, Yuexian Zou, Wai Lam
Main Conference Track
Putting Gale & Shapley to Work: Guaranteeing Stability Through Learning Hadi Hosseini, Sanjukta Roy, Duohan Zhang
Main Conference Track
Thinking Forward: Memory-Efficient Federated Finetuning of Language Models Kunjal Panchal, Nisarg Parikh, Sunav Choudhary, Lijun Zhang, Yuriy Brun, Hui Guan
Main Conference Track
Bias Detection via Signaling Yiling Chen, Tao Lin, Ariel D. Procaccia, Aaditya Ramdas, Itai Shapira
Main Conference Track
Stress-Testing Capability Elicitation With Password-Locked Models Ryan Greenblatt, Fabien Roger, Dmitrii Krasheninnikov, David Krueger
Main Conference Track
Instruction Tuning With Loss Over Instructions Zhengyan Shi, Adam X. Yang, Bin Wu, Laurence Aitchison, Emine Yilmaz, Aldo Lipani
Main Conference Track
FACT or Fiction: Can Truthful Mechanisms Eliminate Federated Free Riding? Marco Bornstein, Amrit Singh Bedi, Abdirisak Mohamed, Furong Huang
Main Conference Track
Log-concave Sampling from a Convex Body with a Barrier: a Robust and Unified Dikin Walk Yuzhou Gu, Nikki Lijing Kuang, Yi-An Ma, Zhao Song, Lichen Zhang
Main Conference Track
United We Stand, Divided We Fall: Fingerprinting Deep Neural Networks via Adversarial Trajectories Tianlong Xu, Chen Wang, Gaoyang Liu, Yang Yang, Kai Peng, Wei Liu
Main Conference Track
VideoGUI: A Benchmark for GUI Automation from Instructional Videos Kevin Qinghong Lin, Linjie Li, Difei Gao, Qinchen Wu, Mingyi Yan, Zhengyuan Yang, Lijuan Wang, Mike Zheng Shou
Datasets and Benchmarks Track
Can Graph Neural Networks Expose Training Data Properties? An Efficient Risk Assessment Approach Hanyang Yuan, Jiarong Xu, Renhong Huang, Mingli Song, Chunping Wang, Yang Yang
Main Conference Track
Training Compute-Optimal Protein Language Models Xingyi Cheng, Bo Chen, Pan Li, Jing Gong, Jie Tang, Le Song
Main Conference Track
CALANet: Cheap All-Layer Aggregation for Human Activity Recognition Jaegyun Park, Dae-Won Kim, Jaesung Lee
Main Conference Track
Over-parameterized Student Model via Tensor Decomposition Boosted Knowledge Distillation Yu-Liang Zhan, Zhong-Yi Lu, Hao Sun, Ze-Feng Gao
Main Conference Track
Qualitative Mechanism Independence Oliver E. Richardson, Spencer Peters, Joseph Y. Halpern
Main Conference Track
Tensor-Based Synchronization and the Low-Rankness of the Block Trifocal Tensor Daniel Miao, Gilad Lerman, Joe Kileel
Main Conference Track
DINTR: Tracking via Diffusion-based Interpolation Pha Nguyen, Ngan Le, Jackson Cothren, Alper Yilmaz, Khoa Luu
Main Conference Track
A Large-Scale Human-Centric Benchmark for Referring Expression Comprehension in the LMM Era Fangyun Wei, Jinjing Zhao, Kun Yan, Hongyang Zhang, Chang Xu
Datasets and Benchmarks Track
Training-Free Open-Ended Object Detection and Segmentation via Attention as Prompts Zhiwei Lin, Yongtao Wang, Zhi Tang
Main Conference Track
Multi-Agent Domain Calibration with a Handful of Offline Data Tao Jiang, Lei Yuan, Lihe Li, Cong Guan, Zongzhang Zhang, Yang Yu
Main Conference Track
A New Multi-Source Light Detection Benchmark and Semi-Supervised Focal Light Detection Jae-Yong Baek, Yong-Sang Yoo, Seung-Hwan Bae
Datasets and Benchmarks Track
No Representation, No Trust: Connecting Representation, Collapse, and Trust Issues in PPO Skander Moalla, Andrea Miele, Daniil Pyatko, Razvan Pascanu, Caglar Gulcehre
Main Conference Track
MM-WLAuslan: Multi-View Multi-Modal Word-Level Australian Sign Language Recognition Dataset Xin Shen, Heming Du, Hongwei Sheng, Shuyun Wang, Hui Chen, Huiqiang Chen, Zhuojie Wu, Xiaobiao Du, Jiaying Ying, Ruihan Lu, Qingzheng Xu, Xin Yu
Datasets and Benchmarks Track
The Best of Both Worlds: On the Dilemma of Out-of-distribution Detection Qingyang Zhang, Qiuxuan Feng, Joey Tianyi Zhou, Yatao Bian, Qinghua Hu, Changqing Zhang
Main Conference Track
Rainbow Teaming: Open-Ended Generation of Diverse Adversarial Prompts Mikayel Samvelyan, Sharath Chandra Raparthy, Andrei Lupu, Eric Hambro, Aram H. Markosyan, Manish Bhatt, Yuning Mao, Minqi Jiang, Jack Parker-Holder, Jakob Foerster, Tim Rocktäschel, Roberta Raileanu
Main Conference Track
Externally Valid Policy Evaluation from Randomized Trials Using Additional Observational Data Sofia Ek, Dave Zachariah
Main Conference Track
Semidefinite Relaxations of the Gromov-Wasserstein Distance Junyu Chen, Binh T. Nguyen, Shang Hui Koh, Yong Sheng Soh
Main Conference Track
LogiCity: Advancing Neuro-Symbolic AI with Abstract Urban Simulation Bowen Li, Zhaoyu Li, Qiwei Du, Jinqi Luo, Wenshan Wang, Yaqi Xie, Simon Stepputtis, Chen Wang, Katia Sycara, Pradeep Ravikumar, Alexander Gray, Xujie Si, Sebastian Scherer
Datasets and Benchmarks Track
Exploring the Precise Dynamics of Single-Layer GAN Models: Leveraging Multi-Feature Discriminators for High-Dimensional Subspace Learning Andrew Bond, Zafer Doğan
Main Conference Track
Understanding Visual Feature Reliance through the Lens of Complexity Thomas Fel, Louis Béthune, Andrew Kyle Lampinen, Thomas Serre, Katherine Hermann
Main Conference Track
VisionLLM v2: An End-to-End Generalist Multimodal Large Language Model for Hundreds of Vision-Language Tasks Jiannan Wu, Muyan Zhong, Sen Xing, Zeqiang Lai, Zhaoyang Liu, Zhe Chen, Wenhai Wang, Xizhou Zhu, Lewei Lu, Tong Lu, Ping Luo, Yu Qiao, Jifeng Dai
Main Conference Track
Continual Learning with Global Alignment Xueying Bai, Jinghuan Shang, Yifan Sun, Niranjan Balasubramanian
Main Conference Track
Self-Distilled Depth Refinement with Noisy Poisson Fusion Jiaqi Li, Yiran Wang, Jinghong Zheng, Zihao Huang, Ke Xian, Zhiguo Cao, Jianming Zhang
Main Conference Track
Scalable DP-SGD: Shuffling vs. Poisson Subsampling Lynn Chua, Badih Ghazi, Pritish Kamath, Ravi Kumar, Pasin Manurangsi, Amer Sinha, Chiyuan Zhang
Main Conference Track
Improving Generalization of Dynamic Graph Learning via Environment Prompt Kuo Yang, Zhengyang Zhou, Qihe Huang, Limin Li, Yuxuan Liang, Yang Wang
Main Conference Track
Indoor Air Quality Dataset with Activities of Daily Living in Low to Middle-income Communities Prasenjit Karmakar, Swadhin Pradhan, Sandip Chakraborty
Datasets and Benchmarks Track
Enhancing Motion in Text-to-Video Generation with Decomposed Encoding and Conditioning Penghui Ruan, Pichao Wang, Divya Saxena, Jiannong Cao, Yuhui Shi
Main Conference Track
ProxyFusion: Face Feature Aggregation Through Sparse Experts Bhavin Jawade, Alexander Stone, Deen Dayal Mohan, Xiao Wang, Srirangaraj Setlur, Venu Govindaraju
Main Conference Track
WorldCoder, a Model-Based LLM Agent: Building World Models by Writing Code and Interacting with the Environment Hao Tang, Darren Key, Kevin Ellis
Main Conference Track
ViLCo-Bench: VIdeo Language COntinual learning Benchmark Tianqi Tang, Shohreh Deldari, Hao Xue, Celso De Melo, Flora Salim
Datasets and Benchmarks Track
A Consistency-Aware Spot-Guided Transformer for Versatile and Hierarchical Point Cloud Registration Renlang Huang, Yufan Tang, Jiming Chen, Liang Li
Main Conference Track
Perceptual Fairness in Image Restoration Guy Ohayon, Michael Elad, Tomer Michaeli
Main Conference Track
Deterministic Uncertainty Propagation for Improved Model-Based Offline Reinforcement Learning Abdullah Akgül, Manuel Haußmann, Melih Kandemir
Main Conference Track
Building a stable classifier with the inflated argmax Jake A. Soloff, Rina Foygel Barber, Rebecca Willett
Main Conference Track
Constrained Latent Action Policies for Model-Based Offline Reinforcement Learning Marvin Alles, Philip Becker-Ehmck, Patrick van der Smagt, Maximilian Karl
Main Conference Track
LaSe-E2V: Towards Language-guided Semantic-aware Event-to-Video Reconstruction Kanghao Chen, Hangyu Li, Jiazhou Zhou, Zeyu Wang, Lin Wang
Main Conference Track
Predicting Label Distribution from Ternary Labels Yunan Lu, Xiuyi Jia
Main Conference Track
VQ-Map: Bird's-Eye-View Map Layout Estimation in Tokenized Discrete Space via Vector Quantization Yiwei Zhang, Jin Gao, Fudong Ge, Guan Luo, Bing Li, Zhaoxiang Zhang, Haibin Ling, Weiming Hu
Main Conference Track
Dual Defense: Enhancing Privacy and Mitigating Poisoning Attacks in Federated Learning Runhua Xu, Shiqi Gao, Chao Li, James Joshi, Jianxin Li
Main Conference Track
Dual-Perspective Activation: Efficient Channel Denoising via Joint Forward-Backward Criterion for Artificial Neural Networks Tian Qiu, Chenchao Gao, Zunlei Feng, Jie Lei, Bingde Hu, Xingen Wang, Yi Gao, Mingli Song
Main Conference Track
Provably Faster Algorithms for Bilevel Optimization via Without-Replacement Sampling Junyi Li, Heng Huang
Main Conference Track
Offline Multitask Representation Learning for Reinforcement Learning Haque Ishfaq, Thanh Nguyen-Tang, Songtao Feng, Raman Arora, Mengdi Wang, Ming Yin, Doina Precup
Main Conference Track
Performative Control for Linear Dynamical Systems Songfu Cai, Fei Han, Xuanyu Cao
Main Conference Track
Boosting Generalization in Parametric PDE Neural Solvers through Adaptive Conditioning Armand Kassaï Koupaï, Jorge Mifsut Benet, Yuan Yin, Jean-Noël Vittaut, Patrick Gallinari
Main Conference Track
Provably Optimal Memory Capacity for Modern Hopfield Models: Transformer-Compatible Dense Associative Memories as Spherical Codes Jerry Yao-Chieh Hu, Dennis Wu, Han Liu
Main Conference Track
Aligning Embeddings and Geometric Random Graphs: Informational Results and Computational Approaches for the Procrustes-Wasserstein Problem Mathieu Even, Luca Ganassali, Jakob Maier, Laurent Massoulié
Main Conference Track
Pin-Tuning: Parameter-Efficient In-Context Tuning for Few-Shot Molecular Property Prediction Liang Wang, Qiang Liu, Shaozhen Liu, Xin Sun, Shu Wu, Liang Wang
Main Conference Track
Improving Context-Aware Preference Modeling for Language Models Silviu Pitis, Ziang Xiao, Nicolas Le Roux, Alessandro Sordoni
Main Conference Track
Almost Free: Self-concordance in Natural Exponential Families and an Application to Bandits Shuai Liu, Alex Ayoub, Flore Sentenac, Xiaoqi Tan, Csaba Szepesvári
Main Conference Track
Neural Cover Selection for Image Steganography Karl Chahine, Hyeji Kim
Main Conference Track
Counter-Current Learning: A Biologically Plausible Dual Network Approach for Deep Learning Chia-Hsiang Kao, Bharath Hariharan
Main Conference Track
Faster Differentially Private Top-$k$ Selection: A Joint Exponential Mechanism with Pruning Hao WU, Hanwen Zhang
Main Conference Track
A Tractable Inference Perspective of Offline RL Xuejie Liu, Anji Liu, Guy Van den Broeck, Yitao Liang
Main Conference Track
Adaptive Labeling for Efficient Out-of-distribution Model Evaluation Daksh Mittal, Yuanzhe Ma, Shalmali Joshi, Hongseok Namkoong
Main Conference Track
The Ladder in Chaos: Improving Policy Learning by Harnessing the Parameter Evolving Path in A Low-dimensional Space Hongyao Tang, Min Zhang, Chen Chen, Jianye Hao
Main Conference Track
MetaLA: Unified Optimal Linear Approximation to Softmax Attention Map Yuhong Chou, Man Yao, Kexin Wang, Yuqi Pan, Ruijie Zhu, Yiran Zhong, Yu Qiao, Jibin Wu, Bo Xu, Guoqi Li
Main Conference Track
2DQuant: Low-bit Post-Training Quantization for Image Super-Resolution Kai Liu, Haotong Qin, Yong Guo, Xin Yuan, Linghe Kong, Guihai Chen, Yulun Zhang
Main Conference Track
Using Surrogates in Covariate-adjusted Response-adaptive Randomization Experiments with Delayed Outcomes Lei Shi, Waverly Wei, Jingshen Wang
Main Conference Track
Zeroth-Order Sampling Methods for Non-Log-Concave Distributions: Alleviating Metastability by Denoising Diffusion Ye He, Kevin Rojas, Molei Tao
Main Conference Track
MambaAD: Exploring State Space Models for Multi-class Unsupervised Anomaly Detection Haoyang He, Yuhu Bai, Jiangning Zhang, Qingdong He, Hongxu Chen, Zhenye Gan, Chengjie Wang, Xiangtai Li, Guanzhong Tian, Lei Xie
Main Conference Track
Can LLMs Learn by Teaching for Better Reasoning? A Preliminary Study Xuefei Ning, Zifu Wang, Shiyao Li, Zinan Lin, Peiran Yao, Tianyu Fu, Matthew B. Blaschko, Guohao Dai, Huazhong Yang, Yu Wang
Main Conference Track
The Star Geometry of Critic-Based Regularizer Learning Oscar Leong, Eliza O'Reilly, Yong Sheng Soh
Main Conference Track
Even Sparser Graph Transformers Hamed Shirzad, Honghao Lin, Balaji Venkatachalam, Ameya Velingker, David P. Woodruff, Danica J. Sutherland
Main Conference Track
Large Stepsize Gradient Descent for Non-Homogeneous Two-Layer Networks: Margin Improvement and Fast Optimization Yuhang Cai, Jingfeng Wu, Song Mei, Michael Lindsey, Peter L. Bartlett
Main Conference Track
Taming "data-hungry" reinforcement learning? Stability in continuous state-action spaces Yaqi Duan, Martin J. Wainwright
Main Conference Track
Risk-sensitive control as inference with Rényi divergence Kaito Ito, Kenji Kashima
Main Conference Track
Adaptive Domain Learning for Cross-domain Image Denoising Zian Qian, Chenyang Qi, Ka Lung Law, Hao Fu, Chenyang Lei, Qifeng Chen
Main Conference Track
On the Inductive Bias of Stacking Towards Improving Reasoning Nikunj Saunshi, Stefani Karp, Shankar Krishnan, Sobhan Miryoosefi, Sashank J. Reddi, Sanjiv Kumar
Main Conference Track
All-in-One Image Coding for Joint Human-Machine Vision with Multi-Path Aggregation Xu Zhang, Peiyao Guo, Ming Lu, Zhan Ma
Main Conference Track
FouRA: Fourier Low-Rank Adaptation Shubhankar Borse, Shreya Kadambi, Nilesh Prasad Pandey, Kartikeya Bhardwaj, Viswanath Ganapathy, Sweta Priyadarshi, Risheek Garrepalli, Rafael Esteves, Munawar Hayat, Fatih Porikli
Main Conference Track
Learning to Assist Humans without Inferring Rewards Vivek Myers, Evan Ellis, Sergey Levine, Benjamin Eysenbach, Anca Dragan
Main Conference Track
Are Your Models Still Fair? Fairness Attacks on Graph Neural Networks via Node Injections Zihan Luo, Hong Huang, Yongkang Zhou, Jiping Zhang, Nuo Chen, Hai Jin
Main Conference Track
Trace is the Next AutoDiff: Generative Optimization with Rich Feedback, Execution Traces, and LLMs Ching-An Cheng, Allen Nie, Adith Swaminathan
Main Conference Track
Integrating Deep Metric Learning with Coreset for Active Learning in 3D Segmentation Arvind Murari Vepa, Zukang Yang, Andrew Choi, Jungseock Joo, Fabien Scalzo, Yizhou Sun
Main Conference Track
Great Minds Think Alike: The Universal Convergence Trend of Input Salience Yipei Wang, Jeffrey Mark Siskind, Xiaoqian Wang
Main Conference Track
Marrying Causal Representation Learning with Dynamical Systems for Science Dingling Yao, Caroline Muller, Francesco Locatello
Main Conference Track
OMG-LLaVA: Bridging Image-level, Object-level, Pixel-level Reasoning and Understanding Tao Zhang, Xiangtai Li, Hao Fei, Haobo Yuan, Shengqiong Wu, Shunping Ji, Chen Change Loy, Shuicheng Yan
Main Conference Track
CorDA: Context-Oriented Decomposition Adaptation of Large Language Models for Task-Aware Parameter-Efficient Fine-tuning Yibo Yang, Xiaojie Li, Zhongzhu Zhou, Shuaiwen Leon Song, Jianlong Wu, Liqiang Nie, Bernard Ghanem
Main Conference Track
Neural Concept Binder Wolfgang Stammer, Antonia Wüst, David Steinmann, Kristian Kersting
Main Conference Track
Megalodon: Efficient LLM Pretraining and Inference with Unlimited Context Length Xuezhe Ma, Xiaomeng Yang, Wenhan Xiong, Beidi Chen, Lili Yu, Hao Zhang, Jonathan May, Luke Zettlemoyer, Omer Levy, Chunting Zhou
Main Conference Track
Arctique: An artificial histopathological dataset unifying realism and controllability for uncertainty quantification Jannik Franzen, Claudia Winklmayr, Vanessa E. Guarino, Christoph Karg, Xiaoyan Yu, Nora Koreuber, Jan P. Albrecht, Philip Bischoff, Dagmar Kainmueller
Datasets and Benchmarks Track
Boosted Conformal Prediction Intervals Ran Xie, Rina Foygel Barber, Emmanuel J. Candès
Main Conference Track
Enriching Disentanglement: From Logical Definitions to Quantitative Metrics Yivan Zhang, Masashi Sugiyama
Main Conference Track
Active preference learning for ordering items in- and out-of-sample Herman Bergström, Emil Carlsson, Devdatt Dubhashi, Fredrik D. Johansson
Main Conference Track
Introspective Planning: Aligning Robots' Uncertainty with Inherent Task Ambiguity Kaiqu Liang, Zixu Zhang, Jaime Fernández Fisac
Main Conference Track
Can Transformers Smell Like Humans? Farzaneh Taleb, Miguel Vasco, Antônio H. Ribeiro, Mårten Björkman, Danica Kragic
Main Conference Track
Universal In-Context Approximation By Prompting Fully Recurrent Models Aleksandar Petrov, Tom A. Lamb, Alasdair Paren, Philip H.S. Torr, Adel Bibi
Main Conference Track
TabEBM: A Tabular Data Augmentation Method with Distinct Class-Specific Energy-Based Models Andrei Margeloiu, Xiangjian Jiang, Nikola Simidjievski, Mateja Jamnik
Main Conference Track
Training an Open-Vocabulary Monocular 3D Detection Model without 3D Data Rui Huang, Henry Zheng, Yan Wang, Zhuofan Xia, Marco Pavone, Gao Huang
Main Conference Track
Automatically Learning Hybrid Digital Twins of Dynamical Systems Samuel Holt, Tennison Liu, Mihaela van der Schaar
Main Conference Track
DISP-LLM: Dimension-Independent Structural Pruning for Large Language Models Shangqian Gao, Chi-Heng Lin, Ting Hua, Tang Zheng, Yilin Shen, Hongxia Jin, Yen-Chang Hsu
Main Conference Track
EEG2Video: Towards Decoding Dynamic Visual Perception from EEG Signals Xuan-Hao Liu, Yan-Kai Liu, Yansen Wang, Kan Ren, Hanwen Shi, Zilong Wang, Dongsheng Li, Bao-Liang Lu, Wei-Long Zheng
Main Conference Track
Physics-informed Neural Networks for Functional Differential Equations: Cylindrical Approximation and Its Convergence Guarantees Taiki Miyagawa, Takeru Yokota
Main Conference Track
PPLNs: Parametric Piecewise Linear Networks for Event-Based Temporal Modeling and Beyond Chen Song, Zhenxiao Liang, Bo Sun, Qixing Huang
Main Conference Track
ADOPT: Modified Adam Can Converge with Any $\beta_2$ with the Optimal Rate Shohei Taniguchi, Keno Harada, Gouki Minegishi, Yuta Oshima, Seong Cheol Jeong, Go Nagahara, Tomoshi Iiyama, Masahiro Suzuki, Yusuke Iwasawa, Yutaka Matsuo
Main Conference Track
Tighter Convergence Bounds for Shuffled SGD via Primal-Dual Perspective Xufeng Cai, Cheuk Yin Lin, Jelena Diakonikolas
Main Conference Track
Poseidon: Efficient Foundation Models for PDEs Maximilian Herde, Bogdan Raonić, Tobias Rohner, Roger Käppeli, Roberto Molinaro, Emmanuel de Bézenac, Siddhartha Mishra
Main Conference Track
Integrating GNN and Neural ODEs for Estimating Non-Reciprocal Two-Body Interactions in Mixed-Species Collective Motion Masahito Uwamichi, Simon K. Schnyder, Tetsuya J. Kobayashi, Satoshi Sawai
Main Conference Track
Accelerating ERM for data-driven algorithm design using output-sensitive techniques Maria-Florina Balcan, Christopher Seiler, Dravyansh Sharma
Main Conference Track
Decision Mamba: Reinforcement Learning via Hybrid Selective Sequence Modeling Sili Huang, Jifeng Hu, Zhejian Yang, Liwei Yang, Tao Luo, Hechang Chen, Lichao Sun, Bo Yang
Main Conference Track
Dissecting the Interplay of Attention Paths in a Statistical Mechanics Theory of Transformers Lorenzo Tiberi, Francesca Mignacco, Kazuki Irie, Haim Sompolinsky
Main Conference Track
Does Worst-Performing Agent Lead the Pack? Analyzing Agent Dynamics in Unified Distributed SGD Jie Hu, Yi-Ting Ma, Do Young Eun
Main Conference Track
Generative Retrieval Meets Multi-Graded Relevance Yubao Tang, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Wei Chen, Xueqi Cheng
Main Conference Track
Order-Independence Without Fine Tuning Reid McIlroy-Young, Katrina Brown, Conlan Olson, Linjun Zhang, Cynthia Dwork
Main Conference Track
SeTAR: Out-of-Distribution Detection with Selective Low-Rank Approximation Yixia Li, Boya Xiong, Guanhua Chen, Yun Chen
Main Conference Track
Efficient Availability Attacks against Supervised and Contrastive Learning Simultaneously Yihan Wang, Yifan Zhu, Xiao-Shan Gao
Main Conference Track
Safe Exploitative Play with Untrusted Type Beliefs Tongxin Li, Tinashe Handina, Shaolei Ren, Adam Wierman
Main Conference Track
Compositional Automata Embeddings for Goal-Conditioned Reinforcement Learning Beyazit Yalcinkaya, Niklas Lauffer, Marcell Vazquez-Chanlatte, Sanjit A. Seshia
Main Conference Track
Improved Bayes Regret Bounds for Multi-Task Hierarchical Bayesian Bandit Algorithms Jiechao Guan, Hui Xiong
Main Conference Track
Pure Message Passing Can Estimate Common Neighbor for Link Prediction Kaiwen Dong, Zhichun Guo, Nitesh V. Chawla
Main Conference Track
Bridging Multicalibration and Out-of-distribution Generalization Beyond Covariate Shift Jiayun Wu, Jiashuo Liu, Peng Cui, Zhiwei Steven Wu
Main Conference Track
Towards Stable Representations for Protein Interface Prediction Ziqi Gao, Zijing Liu, Yu Li, Jia Li
Main Conference Track
Towards Heterogeneous Long-tailed Learning: Benchmarking, Metrics, and Toolbox Haohui Wang, Weijie Guan, Jianpeng Chen, Zi Wang, Dawei Zhou
Datasets and Benchmarks Track
Are Graph Neural Networks Optimal Approximation Algorithms? Morris Yau, Nikolaos Karalias, Eric Lu, Jessica Xu, Stefanie Jegelka
Main Conference Track
Symmetries in Overparametrized Neural Networks: A Mean Field View Javier Maass Martínez, Joaquín Fontbona
Main Conference Track
Physical Consistency Bridges Heterogeneous Data in Molecular Multi-Task Learning Yuxuan Ren, Dihan Zheng, Chang Liu, Peiran Jin, Yu Shi, Lin Huang, Jiyan He, Shengjie Luo, Tao Qin, Tie-Yan Liu
Main Conference Track
OmniJARVIS: Unified Vision-Language-Action Tokenization Enables Open-World Instruction Following Agents Zihao Wang, Shaofei Cai, Zhancun Mu, Haowei Lin, Ceyao Zhang, Xuejie Liu, Qing Li, Anji Liu, Xiaojian Ma, Yitao Liang
Main Conference Track
State Chrono Representation for Enhancing Generalization in Reinforcement Learning Jianda Chen, Wen Zheng Terence Ng, Zichen Chen, Sinno Jialin Pan, Tianwei Zhang
Main Conference Track
On Affine Homotopy between Language Encoders Robin S. M. Chan, Reda Boumasmoud, Anej Svete, Yuxin Ren, Qipeng Guo, Zhijing Jin, Shauli Ravfogel, Mrinmaya Sachan, Bernhard Schölkopf, Mennatallah El-Assady, Ryan Cotterell
Main Conference Track
Self-Play Fine-tuning of Diffusion Models for Text-to-image Generation Huizhuo Yuan, Zixiang Chen, Kaixuan Ji, Quanquan Gu
Main Conference Track
Graph Edit Distance with General Costs Using Neural Set Divergence Eeshaan Jain, Indradyumna Roy, Saswat Meher, Soumen Chakrabarti, Abir De
Main Conference Track
Secret Collusion among AI Agents: Multi-Agent Deception via Steganography Sumeet Ramesh Motwani, Mikhail Baranchuk, Martin Strohmeier, Vijay Bolina, Philip H.S. Torr, Lewis Hammond, Christian Schroeder de Witt
Main Conference Track
Scalable Early Childhood Reading Performance Prediction Zhongkai Shangguan, Zanming Huang, Eshed Ohn-Bar, Ola Ozernov-Palchik, Derek Kosty, Michael Stoolmiller, Hank Fien
Datasets and Benchmarks Track
Scalable Optimization in the Modular Norm Tim Large, Yang Liu, Minyoung Huh, Hyojin Bahng, Phillip Isola, Jeremy Bernstein
Main Conference Track
Solving Inverse Problems via Diffusion Optimal Control Henry Li, Marcus Pereira
Main Conference Track
Enhancing Reasoning Capabilities of LLMs via Principled Synthetic Logic Corpus Terufumi Morishita, Gaku Morio, Atsuki Yamaguchi, Yasuhiro Sogawa
Main Conference Track
Optimal Aggregation of Prediction Intervals under Unsupervised Domain Shift Jiawei Ge, Debarghya Mukherjee, Jianqing Fan
Main Conference Track
Realizable $H$-Consistent and Bayes-Consistent Loss Functions for Learning to Defer Anqi Mao, Mehryar Mohri, Yutao Zhong
Main Conference Track
GeoNLF: Geometry guided Pose-Free Neural LiDAR Fields Weiyi Xue, Zehan Zheng, Fan Lu, Haiyun Wei, Guang Chen, Changjun Jiang
Main Conference Track
Gradual Domain Adaptation via Manifold-Constrained Distributionally Robust Optimization Amirhossein Saberi, Amir Najafi, Amin Behjati, Ala Emrani, Yasaman Zolfit, Mahdi Shadrooy, Abolfazl Motahari, Babak H. Khalaj
Main Conference Track
Efficient Leverage Score Sampling for Tensor Train Decomposition Vivek Bharadwaj, Beheshteh T. Rakhshan, Osman Asif Malik, Guillaume Rabusseau
Main Conference Track
Distributed Least Squares in Small Space via Sketching and Bias Reduction Sachin Garg, Kevin Tan, Michał Dereziński
Main Conference Track
Aligning to Thousands of Preferences via System Message Generalization Seongyun Lee, Sue Hyun Park, Seungone Kim, Minjoon Seo
Main Conference Track
On the Expressive Power of Tree-Structured Probabilistic Circuits Lang Yin, Han Zhao
Main Conference Track
Hybrid Mamba for Few-Shot Segmentation Qianxiong Xu, Xuanyi Liu, Lanyun Zhu, Guosheng Lin, Cheng Long, Ziyue Li, Rui Zhao
Main Conference Track
Conformal Alignment: Knowing When to Trust Foundation Models with Guarantees Yu Gui, Ying Jin, Zhimei Ren
Main Conference Track
Time-Varying LoRA: Towards Effective Cross-Domain Fine-Tuning of Diffusion Models Zhan Zhuang, Yulong Zhang, Xuehao Wang, Jiangang Lu, Ying Wei, Yu Zhang
Main Conference Track
Neural Flow Diffusion Models: Learnable Forward Process for Improved Diffusion Modelling Grigory Bartosh, Dmitry Vetrov, Christian A. Naesseth
Main Conference Track
Efficient Large Multi-modal Models via Visual Context Compression Jieneng Chen, Luoxin Ye, Ju He, Zhao-Yang Wang, Daniel Khashabi, Alan Yuille
Main Conference Track
SequentialAttention++ for Block Sparsification: Differentiable Pruning Meets Combinatorial Optimization Taisuke Yasuda, Kyriakos Axiotis, Gang Fu, MohammadHossein Bateni, Vahab Mirrokni
Main Conference Track
Contrastive dimension reduction: when and how? Sam Hawke, YueEn Ma, Didong Li
Main Conference Track
Vaccine: Perturbation-aware Alignment for Large Language Models against Harmful Fine-tuning Attack Tiansheng Huang, Sihao Hu, Ling Liu
Main Conference Track
Efficient Lifelong Model Evaluation in an Era of Rapid Progress Ameya Prabhu, Vishaal Udandarao, Philip H.S. Torr, Matthias Bethge, Adel Bibi, Samuel Albanie
Main Conference Track
Membership Inference on Text-to-Image Diffusion Models via Conditional Likelihood Discrepancy Shengfang Zhai, Huanran Chen, Yinpeng Dong, Jiajun Li, Qingni Shen, Yansong Gao, Hang Su, Yang Liu
Main Conference Track
Tiny Time Mixers (TTMs): Fast Pre-trained Models for Enhanced Zero/Few-Shot Forecasting of Multivariate Time Series Vijay Ekambaram, Arindam Jati, Pankaj Dayama, Sumanta Mukherjee, Nam H. Nguyen, Wesley M. Gifford, Chandra Reddy, Jayant Kalagnanam
Main Conference Track
Pre-trained Text-to-Image Diffusion Models Are Versatile Representation Learners for Control Gunshi Gupta, Karmesh Yadav, Yarin Gal, Zsolt Kira, Dhruv Batra, Cong Lu, Tim G. J. Rudner
Main Conference Track
TALoS: Enhancing Semantic Scene Completion via Test-time Adaptation on the Line of Sight Hyun-Kurl Jang, Jihun Kim, Hyeokjun Kweon, Kuk-Jin Yoon
Main Conference Track
UMB: Understanding Model Behavior for Open-World Object Detection Xing Xi, Yangyang Huang, Zhijie Zhong, Ronghua Luo
Main Conference Track
Unity by Diversity: Improved Representation Learning for Multimodal VAEs Thomas M. Sutter, Yang Meng, Andrea Agostini, Daphné Chopard, Norbert Fortin, Julia E. Vogt, Babak Shahbaba, Stephan Mandt
Main Conference Track
Relationship Prompt Learning is Enough for Open-Vocabulary Semantic Segmentation Jiahao Li, Yang Lu, Yuan Xie, Yanyun Qu
Main Conference Track
AgentBoard: An Analytical Evaluation Board of Multi-turn LLM Agents Chang Ma, Junlei Zhang, Zhihao Zhu, Cheng Yang, Yujiu Yang, Yaohui Jin, Zhenzhong Lan, Lingpeng Kong, Junxian He
Datasets and Benchmarks Track
Mitigating Spurious Correlations via Disagreement Probability Hyeonggeun Han, Sehwan Kim, Hyungjun Joo, Sangwoo Hong, Jungwoo Lee
Main Conference Track
HumanSplat: Generalizable Single-Image Human Gaussian Splatting with Structure Priors Panwang Pan, Zhuo Su, Chenguo Lin, Zhen Fan, Yongjie Zhang, Zeming Li, Tingting Shen, Yadong Mu, Yebin Liu
Main Conference Track
SwitchHead: Accelerating Transformers with Mixture-of-Experts Attention Róbert Csordás, Piotr Piękos, Kazuki Irie, Jürgen Schmidhuber
Main Conference Track
FastDrag: Manipulate Anything in One Step Xuanjia Zhao, Jian Guan, Congyi Fan, Dongli Xu, Youtian Lin, Haiwei Pan, Pengming Feng
Main Conference Track
Decoupled Kullback-Leibler Divergence Loss Jiequan Cui, Zhuotao Tian, Zhisheng Zhong, Xiaojuan Qi, Bei Yu, Hanwang Zhang
Main Conference Track
Small steps no more: Global convergence of stochastic gradient bandits for arbitrary learning rates Jincheng Mei, Bo Dai, Alekh Agarwal, Sharan Vaswani, Anant Raj, Csaba Szepesvári, Dale Schuurmans
Main Conference Track
Oja's Algorithm for Streaming Sparse PCA Syamantak Kumar, Purnamrita Sarkar
Main Conference Track
Fair and Welfare-Efficient Constrained Multi-Matchings under Uncertainty Elita Lobo, Justin Payan, Cyrus Cousins, Yair Zick
Main Conference Track
Randomized Exploration in Cooperative Multi-Agent Reinforcement Learning Hao-Lun Hsu, Weixin Wang, Miroslav Pajic, Pan Xu
Main Conference Track
Stochastic Kernel Regularisation Improves Generalisation in Deep Kernel Machines Edward Milsom, Ben Anson, Laurence Aitchison
Main Conference Track
S-MolSearch: 3D Semi-supervised Contrastive Learning for Bioactive Molecule Search Gengmo Zhou, Zhen Wang, Feng Yu, Guolin Ke, Zhewei Wei, Zhifeng Gao
Main Conference Track
Gaussian Process Bandits for Top-k Recommendations Mohit Yadav, Daniel Sheldon, Cameron Musco
Main Conference Track
Universal Rates for Active Learning Steve Hanneke, Amin Karbasi, Shay Moran, Grigoris Velegkas
Main Conference Track
Full-Atom Peptide Design with Geometric Latent Diffusion Xiangzhe Kong, Yinjun Jia, Wenbing Huang, Yang Liu
Main Conference Track
ReF-LDM: A Latent Diffusion Model for Reference-based Face Image Restoration Chi-Wei Hsiao, Yu-Lun Liu, Cheng-Kun Yang, Sheng-Po Kuo, Yucheun Kevin Jou, Chia-Ping Chen
Main Conference Track
The Implicit Bias of Gradient Descent toward Collaboration between Layers: A Dynamic Analysis of Multilayer Perceptions Zheng Wang, Geyong Min, Wenjie Ruan
Main Conference Track
TableRAG: Million-Token Table Understanding with Language Models Si-An Chen, Lesly Miculicich, Julian Martin Eisenschlos, Zifeng Wang, Zilong Wang, Yanfei Chen, Yasuhisa Fujii, Hsuan-Tien Lin, Chen-Yu Lee, Tomas Pfister
Main Conference Track
XMask3D: Cross-modal Mask Reasoning for Open Vocabulary 3D Semantic Segmentation Ziyi Wang, Yanbo Wang, Xumin Yu, Jie Zhou, Jiwen Lu
Main Conference Track
Towards Global Optimal Visual In-Context Learning Prompt Selection Chengming Xu, Chen Liu, Yikai Wang, Yuan Yao, Yanwei Fu
Main Conference Track
NeoRL: Efficient Exploration for Nonepisodic RL Bhavya Sukhija, Lenart Treven, Florian Dörfler, Stelian Coros, Andreas Krause
Main Conference Track
DiReCT: Diagnostic Reasoning for Clinical Notes via Large Language Models Bowen Wang, Jiuyang Chang, Yiming Qian, Guoxin Chen, Junhao Chen, Zhouqiang Jiang, Jiahao Zhang, Yuta Nakashima, Hajime Nagahara
Datasets and Benchmarks Track
Transformers Represent Belief State Geometry in their Residual Stream Adam S. Shai, Sarah E. Marzen, Lucas Teixeira, Alexander Gietelink Oldenziel, Paul M. Riechers
Main Conference Track
GIC: Gaussian-Informed Continuum for Physical Property Identification and Simulation Junhao Cai, Yuji Yang, Weihao Yuan, Yisheng He, Zilong Dong, Liefeng Bo, Hui Cheng, Qifeng Chen
Main Conference Track
Spiking Neural Network as Adaptive Event Stream Slicer Jiahang Cao, Mingyuan Sun, Ziqing Wang, Hao Cheng, Qiang Zhang, Shibo Zhou, Renjing Xu
Main Conference Track
IntraMix: Intra-Class Mixup Generation for Accurate Labels and Neighbors Shenghe Zheng, Hongzhi Wang, Xianglong Liu
Main Conference Track
Director3D: Real-world Camera Trajectory and 3D Scene Generation from Text Xinyang Li, Zhangyu Lai, Linning Xu, Yansong Qu, Liujuan Cao, Shengchuan Zhang, Bo Dai, Rongrong Ji
Main Conference Track
Fast Rates for Bandit PAC Multiclass Classification Liad Erez, Alon Cohen, Tomer Koren, Yishay Mansour, Shay Moran
Main Conference Track
Prune and Repaint: Content-Aware Image Retargeting for any Ratio Feihong Shen, Chao Li, Yifeng Geng, Yongjian Deng, Hao Chen
Main Conference Track
BricksRL: A Platform for Democratizing Robotics and Reinforcement Learning Research and Education with LEGO Sebastian Dittert, Vincent Moens, Gianni De Fabritiis
Main Conference Track
On scalable oversight with weak LLMs judging strong LLMs Zachary Kenton, Noah Y. Siegel, János Kramár, Jonah Brown-Cohen, Samuel Albanie, Jannis Bulian, Rishabh Agarwal, David Lindner, Yunhao Tang, Noah D. Goodman, Rohin Shah
Main Conference Track
Exploration by Learning Diverse Skills through Successor State Representations Paul-Antoine Le Tolguenec, Yann Besse, Florent Teichteil-Konigsbuch, Dennis G. Wilson, Emmanuel Rachelson
Main Conference Track
DePLM: Denoising Protein Language Models for Property Optimization Zeyuan Wang, Keyan Ding, Ming Qin, Xiaotong Li, Xiang Zhuang, Yu Zhao, Jianhua Yao, Qiang Zhang, Huajun Chen
Main Conference Track
MambaTree: Tree Topology is All You Need in State Space Model Yicheng Xiao, Lin Song, Shaoli Huang, Jiangshan Wang, Siyu Song, Yixiao Ge, Xiu Li, Ying Shan
Main Conference Track
Structural Inference of Dynamical Systems with Conjoined State Space Models Aoran Wang, Jun Pang
Main Conference Track
Is A Picture Worth A Thousand Words? Delving Into Spatial Reasoning for Vision Language Models Jiayu Wang, Yifei Ming, Zhenmei Shi, Vibhav Vineet, Xin Wang, Yixuan Li, Neel Joshi
Main Conference Track
Domain Adaptation for Large-Vocabulary Object Detectors Kai Jiang, Jiaxing Huang, Weiying Xie, Jie Lei, Yunsong Li, Ling Shao, Shijian Lu
Main Conference Track
ConceptFactory: Facilitate 3D Object Knowledge Annotation with Object Conceptualization Jianhua Sun, Yuxuan Li, Longfei Xu, Nange Wang, Jiude Wei, Yining Zhang, Cewu Lu
Datasets and Benchmarks Track
CAT3D: Create Anything in 3D with Multi-View Diffusion Models Ruiqi Gao, Aleksander Hołyński, Philipp Henzler, Arthur Brussee, Ricardo Martin-Brualla, Pratul Srinivasan, Jonathan T. Barron, Ben Poole
Main Conference Track
From Biased to Unbiased Dynamics: An Infinitesimal Generator Approach Timothée Devergne, Vladimir R. Kostic, Michele Parrinello, Massimiliano Pontil
Main Conference Track
Panacea: Pareto Alignment via Preference Adaptation for LLMs Yifan Zhong, Chengdong Ma, Xiaoyuan Zhang, Ziran Yang, Haojun Chen, Qingfu Zhang, Siyuan Qi, Yaodong Yang
Main Conference Track
IR-CM: The Fast and General-purpose Image Restoration Method Based on Consistency Model Xiaoxuan Gong, Jie Ma
Main Conference Track
Assouad, Fano, and Le Cam with Interaction: A Unifying Lower Bound Framework and Characterization for Bandit Learnability Fan Chen, Dylan J. Foster, Yanjun Han, Jian Qian, Alexander Rakhlin, Yunbei Xu
Main Conference Track
Towards an Information Theoretic Framework of Context-Based Offline Meta-Reinforcement Learning Lanqing Li, Hai Zhang, Xinyu Zhang, Shatong Zhu, Yang Yu, Junqiao Zhao, Pheng-Ann Heng
Main Conference Track
Accelerating Pre-training of Multimodal LLMs via Chain-of-Sight Ziyuan Huang, Kaixiang Ji, Biao Gong, Zhiwu Qing, Qinglong Zhang, Kecheng Zheng, Jian Wang, Jingdong Chen, Ming Yang
Main Conference Track
T2V-Turbo: Breaking the Quality Bottleneck of Video Consistency Model with Mixed Reward Feedback Jiachen Li, Weixi Feng, Tsu-Jui Fu, Xinyi Wang, Sugato Basu, Wenhu Chen, William Yang Wang
Main Conference Track
Pricing and Competition for Generative AI Rafid Mahmood
Main Conference Track
GTA: A Benchmark for General Tool Agents Jize Wang, Zerun Ma, Yining Li, Songyang Zhang, Cailian Chen, Kai Chen, Xinyi Le
Datasets and Benchmarks Track
Accelerating Relative Entropy Coding with Space Partitioning Jiajun He, Gergely Flamich, José Miguel Hernández-Lobato
Main Conference Track
Samba: Severity-aware Recurrent Modeling for Cross-domain Medical Image Grading Qi Bi, Jingjun Yi, Hao Zheng, Wei Ji, Haolan Zhan, Yawen Huang, Yuexiang Li, Yefeng Zheng
Main Conference Track
What to Say and When to Say it: Live Fitness Coaching as a Testbed for Situated Interaction Sunny Panchal, Apratim Bhattacharyya, Guillaume Berger, Antoine Mercier, Cornelius Böhm, Florian Dietrichkeit, Reza Pourreza, Xuanlin Li, Pulkit Madan, Mingu Lee, Mark Todorovich, Ingo Bax, Roland Memisevic
Datasets and Benchmarks Track
On Divergence Measures for Training GFlowNets Tiago da Silva, Eliezer de Souza da Silva, Diego Mesquita
Main Conference Track
Conditional Synthesis of 3D Molecules with Time Correction Sampler Hojung Jung, Youngrok Park, Laura Schmid, Jaehyeong Jo, Dongkyu Lee, Bongsang Kim, Se-Young Yun, Jinwoo Shin
Main Conference Track
VLM Agents Generate Their Own Memories: Distilling Experience into Embodied Programs of Thought Gabriel Sarch, Lawrence Jang, Michael J. Tarr, William W. Cohen, Kenneth Marino, Katerina Fragkiadaki
Main Conference Track
Local Linearity: the Key for No-regret Reinforcement Learning in Continuous MDPs Davide Maran, Alberto Maria Metelli, Matteo Papini, Marcello Restelli
Main Conference Track
The Reliability of OKRidge Method in Solving Sparse Ridge Regression Problems Xiyuan Li, Youjun Wang, Weiwei Liu
Main Conference Track
Continual Audio-Visual Sound Separation Weiguo Pian, Yiyang Nan, Shijian Deng, Shentong Mo, Yunhui Guo, Yapeng Tian
Main Conference Track
Amortizing intractable inference in diffusion models for vision, language, and control Siddarth Venkatraman, Moksh Jain, Luca Scimeca, Minsu Kim, Marcin Sendera, Mohsin Hasan, Luke Rowe, Sarthak Mittal, Pablo Lemos, Emmanuel Bengio, Alexandre Adam, Jarrid Rector-Brooks, Yoshua Bengio, Glen Berseth, Nikolay Malkin
Main Conference Track
Video Diffusion Models are Training-free Motion Interpreter and Controller Zeqi Xiao, Yifan Zhou, Shuai Yang, Xingang Pan
Main Conference Track
Confident Natural Policy Gradient for Local Planning in $q_\pi$-realizable Constrained MDPs Tian Tian, Lin F. Yang, Csaba Szepesvári
Main Conference Track
CoMat: Aligning Text-to-Image Diffusion Model with Image-to-Text Concept Matching Dongzhi Jiang, Guanglu Song, Xiaoshi Wu, Renrui Zhang, Dazhong Shen, Zhuofan Zong, Yu Liu, Hongsheng Li
Main Conference Track
Convergence of No-Swap-Regret Dynamics in Self-Play Renato Paes Leme, Georgios Piliouras, Jon Schneider
Main Conference Track
Scaling Laws and Compute-Optimal Training Beyond Fixed Training Durations Alexander Hägele, Elie Bakouch, Atli Kosson, Loubna Ben Allal, Leandro Von Werra, Martin Jaggi
Main Conference Track
Measuring Mutual Policy Divergence for Multi-Agent Sequential Exploration Haowen Dou, Lujuan Dang, Zhirong Luan, Badong Chen
Main Conference Track
Neural Assets: 3D-Aware Multi-Object Scene Synthesis with Image Diffusion Models Ziyi Wu, Yulia Rubanova, Rishabh Kabra, Drew A. Hudson, Igor Gilitschenski, Yusuf Aytar, Sjoerd van Steenkiste, Kelsey R. Allen, Thomas Kipf
Main Conference Track
NanoBaseLib: A Multi-Task Benchmark Dataset for Nanopore Sequencing Guangzhao Cheng, Chengbo Fu, Lu Cheng
Datasets and Benchmarks Track
Persistence Homology Distillation for Semi-supervised Continual Learning Yan Fan, Yu Wang, Pengfei Zhu, Dongyue Chen, Qinghua Hu
Main Conference Track
Normal-GS: 3D Gaussian Splatting with Normal-Involved Rendering Meng Wei, Qianyi Wu, Jianmin Zheng, Hamid Rezatofighi, Jianfei Cai
Main Conference Track
GuardT2I: Defending Text-to-Image Models from Adversarial Prompts Yijun Yang, Ruiyuan Gao, Xiao Yang, Jianyuan Zhong, Qiang Xu
Main Conference Track
Online Bayesian Persuasion Without a Clue Francesco Bacchiocchi, Matteo Bollini, Matteo Castiglioni, Alberto Marchesi, Nicola Gatti
Main Conference Track
Testing Semantic Importance via Betting Jacopo Teneggi, Jeremias Sulam
Main Conference Track
Set-based Neural Network Encoding Without Weight Tying Bruno Andreis, Soro Bedionita, Philip H.S. Torr, Sung Ju Hwang
Main Conference Track
Disentangled Unsupervised Skill Discovery for Efficient Hierarchical Reinforcement Learning Jiaheng Hu, Zizhao Wang, Peter Stone, Roberto Martín-Martín
Main Conference Track
Space-Time Continuous PDE Forecasting using Equivariant Neural Fields David M. Knigge, David R. Wessels, Riccardo Valperga, Samuele Papa, Jan-Jakob Sonke, Efstratios Gavves, Erik J. Bekkers
Main Conference Track
Few-shot Algorithms for Consistent Neural Decoding (FALCON) Benchmark Brianna M. Karpowicz, Joel Ye, Chaofei Fan, Pablo Tostado-Marcos, Fabio Rizzoglio, Clay Washington, Thiago Scodeler, Diogo de Lucena, Samuel R. Nason-Tomaszewski, Matthew J. Mender, Xuan Ma, Ezequiel Matias Arneodo, Leigh R. Hochberg, Cynthia A. Chestek, Jaimie M. Henderson, Timothy Q. Gentner, Vikash Gilja, Lee E. Miller, Adam G. Rouse, Robert A. Gaunt, Jennifer L. Collinger, Chethan Pandarinath
Datasets and Benchmarks Track
Expanding Sparse Tuning for Low Memory Usage Shufan Shen, Junshu Sun, Xiangyang Ji, Qingming Huang, Shuhui Wang
Main Conference Track
Randomized Exploration for Reinforcement Learning with Multinomial Logistic Function Approximation Wooseong Cho, Taehyun Hwang, Joongkyu Lee, Min-hwan Oh
Main Conference Track
PINNacle: A Comprehensive Benchmark of Physics-Informed Neural Networks for Solving PDEs Zhongkai Hao, Jiachen Yao, Chang Su, Hang Su, Ziao Wang, Fanzhi Lu, Zeyu Xia, Yichi Zhang, Songming Liu, Lu Lu, Jun Zhu
Datasets and Benchmarks Track
BitsFusion: 1.99 bits Weight Quantization of Diffusion Model Yang Sui, Yanyu Li, Anil Kag, Yerlan Idelbayev, Junli Cao, Ju Hu, Dhritiman Sagar, Bo Yuan, Sergey Tulyakov, Jian Ren
Main Conference Track
Lexicon3D: Probing Visual Foundation Models for Complex 3D Scene Understanding Yunze Man, Shuhong Zheng, Zhipeng Bao, Martial Hebert, Liang-Yan Gui, Yu-Xiong Wang
Main Conference Track
Deep linear networks for regression are implicitly regularized towards flat minima Pierre Marion, Lénaïc Chizat
Main Conference Track
Enabling Adaptive Agent Training in Open-Ended Simulators by Targeting Diversity Robby Costales, Stefanos Nikolaidis
Main Conference Track
Many-Shot In-Context Learning Rishabh Agarwal, Avi Singh, Lei Zhang, Bernd Bohnet, Luis Rosias, Stephanie Chan, Biao Zhang, Ankesh Anand, Zaheer Abbas, Azade Nova, John D. Co-Reyes, Eric Chu, Feryal Behbahani, Aleksandra Faust, Hugo Larochelle
Main Conference Track
Robust Fine-tuning of Zero-shot Models via Variance Reduction Beier Zhu, Jiequan Cui, Hanwang Zhang
Main Conference Track
Orchid: Flexible and Data-Dependent Convolution for Sequence Modeling Mahdi Karami, Ali Ghodsi
Main Conference Track
TrajCLIP: Pedestrian trajectory prediction method using contrastive learning and idempotent networks Pengfei Yao, Yinglong Zhu, Huikun Bi, Tianlu Mao, Zhaoqi Wang
Main Conference Track
Personalized Federated Learning via Feature Distribution Adaptation Connor J. McLaughlin, Lili Su
Main Conference Track
Learning to Discuss Strategically: A Case Study on One Night Ultimate Werewolf Xuanfa Jin, Ziyan Wang, Yali Du, Meng Fang, Haifeng Zhang, Jun Wang
Main Conference Track
Causal Temporal Representation Learning with Nonstationary Sparse Transition Xiangchen Song, Zijian Li, Guangyi Chen, Yujia Zheng, Yewen Fan, Xinshuai Dong, Kun Zhang
Main Conference Track
HOI-Swap: Swapping Objects in Videos with Hand-Object Interaction Awareness Zihui Xue, Mi Luo, Changan Chen, Kristen Grauman
Main Conference Track
End-To-End Causal Effect Estimation from Unstructured Natural Language Data Nikita Dhawan, Leonardo Cotta, Karen Ullrich, Rahul G. Krishnan, Chris J. Maddison
Main Conference Track
CoMERA: Computing- and Memory-Efficient Training via Rank-Adaptive Tensor Optimization Zi Yang, Ziyue Liu, Samridhi Choudhary, Xinfeng Xie, Cao Gao, Siegfried Kunzmann, Zheng Zhang
Main Conference Track
Sample-Efficient Geometry Reconstruction from Euclidean Distances using Non-Convex Optimization Ipsita Ghosh, Abiy Tasissa, Christian Kümmerle
Main Conference Track
Conditional Generative Models are Sufficient to Sample from Any Causal Effect Estimand Md Musfiqur Rahman, Matt Jordan, Murat Kocaoglu
Main Conference Track
Pretrained Transformer Efficiently Learns Low-Dimensional Target Functions In-Context Kazusato Oko, Yujin Song, Taiji Suzuki, Denny Wu
Main Conference Track
Contracting with a Learning Agent Guru Guruganesh, Yoav Kolumbus, Jon Schneider, Inbal Talgam-Cohen, Emmanouil-Vasileios Vlatakis-Gkaragkounis, Joshua R. Wang, S. Matthew Weinberg
Main Conference Track
Faster Accelerated First-order Methods for Convex Optimization with Strongly Convex Function Constraints Zhenwei Lin, Qi Deng
Main Conference Track
DevBench: A multimodal developmental benchmark for language learning Alvin W. M. Tan, Sunny Yu, Bria Long, Wanjing Anya Ma, Tonya Murray, Rebecca D. Silverman, Jason D. Yeatman, Michael C. Frank
Datasets and Benchmarks Track
BPQP: A Differentiable Convex Optimization Framework for Efficient End-to-End Learning Jianming Pan, Zeqi Ye, Xiao Yang, Xu Yang, Weiqing Liu, Lewen Wang, Jiang Bian
Main Conference Track
Sm: enhanced localization in Multiple Instance Learning for medical imaging classification Francisco M. Castro-Macías, Pablo Morales-Álvarez, Yunan Wu, Rafael Molina, Aggelos K. Katsaggelos
Main Conference Track
Local Anti-Concentration Class: Logarithmic Regret for Greedy Linear Contextual Bandit Seok-Jin Kim, Min-hwan Oh
Main Conference Track
Iteratively Refined Early Interaction Alignment for Subgraph Matching based Graph Retrieval Ashwin Ramachandran, Vaibhav Raj, Indrayumna Roy, Soumen Chakrabarti, Abir De
Main Conference Track
Solving Sparse \& High-Dimensional-Output Regression via Compression Renyuan Li, Zhehui Chen, Guanyi Wang
Main Conference Track
Relational Concept Bottleneck Models Pietro Barbiero, Francesco Giannini, Gabriele Ciravegna, Michelangelo Diligenti, Giuseppe Marra
Main Conference Track
Confidence Calibration of Classifiers with Many Classes Adrien Le Coz, Stéphane Herbin, Faouzi Adjed
Main Conference Track
An Analytical Study of Utility Functions in Multi-Objective Reinforcement Learning Manel Rodriguez-Soto, Juan A. Rodriguez-Aguilar, Maite Lopez-Sanchez
Main Conference Track
SkiLD: Unsupervised Skill Discovery Guided by Factor Interactions Zizhao Wang, Jiaheng Hu, Caleb Chuck, Stephen Chen, Roberto Martín-Martín, Amy Zhang, Scott Niekum, Peter Stone
Main Conference Track
$\text{ID}^3$: Identity-Preserving-yet-Diversified Diffusion Models for Synthetic Face Recognition Jianqing Xu, Shen Li, Jiaying Wu, Miao Xiong, Ailin Deng, Jiazhen Ji, Yuge Huang, Guodong Mu, Wenjie Feng, Shouhong Ding, Bryan Hooi
Main Conference Track
Point Cloud Matters: Rethinking the Impact of Different Observation Spaces on Robot Learning Haoyi Zhu, Yating Wang, Di Huang, Weicai Ye, Wanli Ouyang, Tong He
Datasets and Benchmarks Track
Language-Driven Interactive Traffic Trajectory Generation Junkai Xia, Chenxin Xu, Qingyao Xu, Yanfeng Wang, Siheng Chen
Main Conference Track
VLMimic: Vision Language Models are Visual Imitation Learner for Fine-grained Actions Guangyan Chen, Meiling Wang, Te Cui, Yao Mu, Haoyang Lu, Tianxing Zhou, Zicai Peng, Mengxiao Hu, Haizhou Li, Li Yuan, Yi Yang, Yufeng Yue
Main Conference Track
Time-MMD: Multi-Domain Multimodal Dataset for Time Series Analysis Haoxin Liu, Shangqing Xu, Zhiyuan Zhao, Lingkai Kong, Harshavardhan Kamarthi, Aditya B. Sasanur, Megha Sharma, Jiaming Cui, Qingsong Wen, Chao Zhang, B. Aditya Prakash
Datasets and Benchmarks Track
Uncovering, Explaining, and Mitigating the Superficial Safety of Backdoor Defense Rui Min, Zeyu Qin, Nevin L. Zhang, Li Shen, Minhao Cheng
Main Conference Track
SSDiff: Spatial-spectral Integrated Diffusion Model for Remote Sensing Pansharpening Yu Zhong, Xiao Wu, Zihan Cao, Hong-Xia Dou, Liang-Jian Deng
Main Conference Track
Generating Highly Designable Proteins with Geometric Algebra Flow Matching Simon Wagner, Leif Seute, Vsevolod Viliuga, Nicolas Wolf, Frauke Gräter, Jan Stühmer
Main Conference Track
Covariate Shift Corrected Conditional Randomization Test Bowen Xu, Yiwen Huang, Chuan Hong, Shuangning Li, Molei Liu
Main Conference Track
kGym: A Platform and Dataset to Benchmark Large Language Models on Linux Kernel Crash Resolution Alex Mathai, Chenxi Huang, Petros Maniatis, Aleksandr Nogikh, Franjo Ivančić, Junfeng Yang, Baishakhi Ray
Datasets and Benchmarks Track
Dual-Diffusion for Binocular 3D Human Pose Estimation Xiaoyue Wan, Zhuo Chen, Bingzhi Duan, Xu Zhao
Main Conference Track
BLEnD: A Benchmark for LLMs on Everyday Knowledge in Diverse Cultures and Languages Junho Myung, Nayeon Lee, Yi Zhou, Jiho Jin, Rifki Afina Putri, Dimosthenis Antypas, Hsuvas Borkakoty, Eunsu Kim, Carla Perez-Almendros, Abinew Ali Ayele, Víctor Gutiérrez-Basulto, Yazmín Ibáñez-García, Hwaran Lee, Shamsuddeen Hassan Muhammad, Kiwoong Park, Anar Sabuhi Rzayev, Nina White, Seid Muhie Yimam, Mohammad Taher Pilehvar, Nedjma Ousidhoum, Jose Camacho-Collados, Alice Oh
Datasets and Benchmarks Track
Motion Forecasting in Continuous Driving Nan Song, Bozhou Zhang, Xiatian Zhu, Li Zhang
Main Conference Track
Two-way Deconfounder for Off-policy Evaluation in Causal Reinforcement Learning Shuguang Yu, Shuxing Fang, Ruixin Peng, Zhengling Qi, Fan Zhou, Chengchun Shi
Main Conference Track
An Accelerated Algorithm for Stochastic Bilevel Optimization under Unbounded Smoothness Xiaochuan Gong, Jie Hao, Mingrui Liu
Main Conference Track
Structured Unrestricted-Rank Matrices for Parameter Efficient Finetuning Arijit Sehanobish, Avinava Dubey, Krzysztof Choromanski, Somnath Basu Roy Chowdhury, Deepali Jain, Vikas Sindhwani, Snigdha Chaturvedi
Main Conference Track
Online Convex Optimisation: The Optimal Switching Regret for all Segmentations Simultaneously Stephen Pasteris, Chris Hicks, Vasilios Mavroudis, Mark Herbster
Main Conference Track
AmoebaLLM: Constructing Any-Shape Large Language Models for Efficient and Instant Deployment Yonggan Fu, Zhongzhi Yu, Junwei Li, Jiayi Qian, Yongan Zhang, Xiangchi Yuan, Dachuan Shi, Roman Yakunin, Yingyan (Celine) Lin
Main Conference Track
Understanding Transformer Reasoning Capabilities via Graph Algorithms Clayton Sanford, Bahare Fatemi, Ethan Hall, Anton Tsitsulin, Mehran Kazemi, Jonathan Halcrow, Bryan Perozzi, Vahab Mirrokni
Main Conference Track
One-to-Normal: Anomaly Personalization for Few-shot Anomaly Detection Yiyue Li, Shaoting Zhang, Kang Li, Qicheng Lao
Main Conference Track
TabularBench: Benchmarking Adversarial Robustness for Tabular Deep Learning in Real-world Use-cases Thibault Simonetto, Salah Ghamizi, Maxime Cordy
Datasets and Benchmarks Track
Multi-modal Transfer Learning between Biological Foundation Models Juan Jose Garau-Luis, Patrick Bordes, Liam Gonzalez, Masa Roller, Bernardo P. de Almeida, Lorenz Hexemer, Christopher Blum, Stefan Laurent, Jan Grzegorzewski, Maren Lang, Thomas Pierrot, Guillaume Richard
Main Conference Track
OASIS: Conditional Distribution Shaping for Offline Safe Reinforcement Learning Yihang Yao, Zhepeng Cen, Wenhao Ding, Haohong Lin, Shiqi Liu, Tingnan Zhang, Wenhao Yu, Ding Zhao
Main Conference Track
Learning from higher-order correlations, efficiently: hypothesis tests, random features, and neural networks Eszter Székely, Lorenzo Bardone, Federica Gerace, Sebastian Goldt
Main Conference Track
Unified Mechanism-Specific Amplification by Subsampling and Group Privacy Amplification Jan Schuchardt, Mihail Stoian, Arthur Kosmala, Stephan Günnemann
Main Conference Track
PeRFlow: Piecewise Rectified Flow as Universal Plug-and-Play Accelerator Hanshu Yan, Xingchao Liu, Jiachun Pan, Jun Hao Liew, Qiang Liu, Jiashi Feng
Main Conference Track
Online Weighted Paging with Unknown Weights Orin Levy, Noam Touitou, Aviv Rosenberg
Main Conference Track
Achieving $\tilde{O}(1/\epsilon)$ Sample Complexity for Constrained Markov Decision Process Jiashuo Jiang, Yinyu Ye
Main Conference Track
Overcoming the Sim-to-Real Gap: Leveraging Simulation to Learn to Explore for Real-World RL Andrew Wagenmaker, Kevin Huang, Liyiming Ke, Kevin Jamieson, Abhishek Gupta
Main Conference Track
Animal-Bench: Benchmarking Multimodal Video Models for Animal-centric Video Understanding Yinuo Jing, Ruxu Zhang, Kongming Liang, Yongxiang Li, Zhongjiang He, Zhanyu Ma, Jun Guo
Main Conference Track
Transfer Learning for Latent Variable Network Models Akhil Jalan, Arya Mazumdar, Soumendu Sundar Mukherjee, Purnamrita Sarkar
Main Conference Track
Beyond Single Stationary Policies: Meta-Task Players as Naturally Superior Collaborators Haoming Wang, Zhaoming Tian, Yunpeng Song, Xiangliang Zhang, Zhongmin Cai
Main Conference Track
Hierarchical Federated Learning with Multi-Timescale Gradient Correction Wenzhi Fang, Dong-Jun Han, Evan Chen, Shiqiang Wang, Christopher G. Brinton
Main Conference Track
Twin-Merging: Dynamic Integration of Modular Expertise in Model Merging Zhenyi Lu, Chenghao Fan, Wei Wei, Xiaoye Qu, Dangyang Chen, Yu Cheng
Main Conference Track
Connectivity-Driven Pseudo-Labeling Makes Stronger Cross-Domain Segmenters Dong Zhao, Qi Zang, Shuang Wang, Nicu Sebe, Zhun Zhong
Main Conference Track
Lambda: Learning Matchable Prior For Entity Alignment with Unlabeled Dangling Cases Hang Yin, Liyao Xiang, Dong Ding, Yuheng He, Yihan Wu, Pengzhi Chu, Xinbing Wang, Chenghu Zhou
Main Conference Track
Replicability in Learning: Geometric Partitions and KKM-Sperner Lemma Jason Vander Woude, Peter Dixon, A. Pavan, Jamie Radcliffe, N. V. Vinodchandran
Main Conference Track
Is Value Learning Really the Main Bottleneck in Offline RL? Seohong Park, Kevin Frans, Sergey Levine, Aviral Kumar
Main Conference Track
VLG-CBM: Training Concept Bottleneck Models with Vision-Language Guidance Divyansh Srivastava, Ge Yan, Tsui-Wei Weng
Main Conference Track
ActSort: An active-learning accelerated cell sorting algorithm for large-scale calcium imaging datasets Yiqi Jiang, Hakki O. Akengin, Ji Zhou, Mehmet A. Aslihak, Yang Li, Radosław Chrapkiewicz, Oscar Hernandez, Sadegh Ebrahimi, Omar Jaidar, Yanping Zhang, Hakan Inan, Christopher Miranda, Fatih Dinct, Marta Blanco-Pozo, Mark J. Schnitzer
Main Conference Track
Learnability of high-dimensional targets by two-parameter models and gradient flow Dmitry Yarotsky
Main Conference Track
UnSeg: One Universal Unlearnable Example Generator is Enough against All Image Segmentation Ye Sun, Hao Zhang, Tiehua Zhang, Xingjun Ma, Yu-Gang Jiang
Main Conference Track
Decision-Focused Learning with Directional Gradients Vishal Gupta, Michael Huang
Main Conference Track
Bridging the Divide: Reconsidering Softmax and Linear Attention Dongchen Han, Yifan Pu, Zhuofan Xia, Yizeng Han, Xuran Pan, Xiu Li, Jiwen Lu, Shiji Song, Gao Huang
Main Conference Track
Energy-Based Modelling for Discrete and Mixed Data via Heat Equations on Structured Spaces Tobias Schröder, Zijing Ou, Yingzhen Li, Andrew Duncan
Main Conference Track
RegExplainer: Generating Explanations for Graph Neural Networks in Regression Tasks Jiaxing Zhang, Zhuomin Chen, Hao Mei, Longchao Da, Dongsheng Luo, Hua Wei
Main Conference Track
Humanoid Locomotion as Next Token Prediction Ilija Radosavovic, Bike Zhang, Baifeng Shi, Jathushan Rajasegaran, Sarthak Kamat, Trevor Darrell, Koushil Sreenath, Jitendra Malik
Main Conference Track
Dendritic Integration Inspired Artificial Neural Networks Capture Data Correlation Chongming Liu, Jingyang Ma, Songting Li, Douglas Zhou
Main Conference Track
Explaining Datasets in Words: Statistical Models with Natural Language Parameters Ruiqi Zhong, Heng Wang, Dan Klein, Jacob Steinhardt
Main Conference Track
Learning with Fitzpatrick Losses Seta Rakotomandimby, Jean-Philippe Chancelier, Michel De Lara, Mathieu Blondel
Main Conference Track
MDAgents: An Adaptive Collaboration of LLMs for Medical Decision-Making Yubin Kim, Chanwoo Park, Hyewon Jeong, Yik Siu Chan, Xuhai Xu, Daniel McDuff, Hyeonhoon Lee, Marzyeh Ghassemi, Cynthia Breazeal, Hae Won Park
Main Conference Track
Compact Proofs of Model Performance via Mechanistic Interpretability Jason Gross, Rajashree Agrawal, Thomas Kwa, Euan Ong, Chun Hei Yip, Alex Gibson, Soufiane Noubir, Lawrence Chan
Main Conference Track
Semantic Feature Learning for Universal Unsupervised Cross-Domain Retrieval Lixu Wang, Xinyu Du, Qi Zhu
Main Conference Track
Credal Deep Ensembles for Uncertainty Quantification Kaizheng Wang, Fabio Cuzzolin, Shireen Kudukkil Manchingal, Keivan Shariatmadar, David Moens, Hans Hallez
Main Conference Track
Mixture of In-Context Experts Enhance LLMs' Long Context Awareness Hongzhan Lin, Ang Lv, Yuhan Chen, Chen Zhu, Yang Song, Hengshu Zhu, Rui Yan
Main Conference Track
BehaviorGPT: Smart Agent Simulation for Autonomous Driving with Next-Patch Prediction Zikang Zhou, Haibo Hu, Xinhong Chen, Jianping Wang, Nan Guan, Kui Wu, Yung-Hui Li, Yu-Kai Huang, Chun Jason Xue
Main Conference Track
OctreeOcc: Efficient and Multi-Granularity Occupancy Prediction Using Octree Queries Yuhang Lu, Xinge Zhu, Tai Wang, Yuexin Ma
Main Conference Track
Weak-eval-Strong: Evaluating and Eliciting Lateral Thinking of LLMs with Situation Puzzles Qi Chen, Bowen Zhang, Gang Wang, Qi Wu
Main Conference Track
Langevin Unlearning: A New Perspective of Noisy Gradient Descent for Machine Unlearning Eli Chien, Haoyu Wang, Ziang Chen, Pan Li
Main Conference Track
Discrete-state Continuous-time Diffusion for Graph Generation Zhe Xu, Ruizhong Qiu, Yuzhong Chen, Huiyuan Chen, Xiran Fan, Menghai Pan, Zhichen Zeng, Mahashweta Das, Hanghang Tong
Main Conference Track
CooHOI: Learning Cooperative Human-Object Interaction with Manipulated Object Dynamics Jiawei Gao, Ziqin Wang, Zeqi Xiao, Jingbo Wang, Tai Wang, Jinkun Cao, Xiaolin Hu, Si Liu, Jifeng Dai, Jiangmiao Pang
Main Conference Track
A Boosting-Type Convergence Result for AdaBoost.MH with Factorized Multi-Class Classifiers Xin Zou, Zhengyu Zhou, Jingyuan Xu, Weiwei Liu
Main Conference Track
MutaPLM: Protein Language Modeling for Mutation Explanation and Engineering Yizhen Luo, Zikun Nie, Massimo Hong, Suyuan Zhao, Hao Zhou, Zaiqing Nie
Main Conference Track
Graph Neural Networks Need Cluster-Normalize-Activate Modules Arseny Skryagin, Felix Divo, Mohammad Amin Ali, Devendra Singh Dhami, Kristian Kersting
Main Conference Track
Meta-Diffu$B$: A Contextualized Sequence-to-Sequence Text Diffusion Model with Meta-Exploration Yun-Yen Chuang, Hung-Min Hsu, Kevin Lin, Chen-Sheng Gu, Ling Zhen Li, Ray-I Chang, Hung-yi Lee
Main Conference Track
DRIP: Unleashing Diffusion Priors for Joint Foreground and Alpha Prediction in Image Matting Xiaodi Li, Zongxin Yang, Ruijie Quan, Yi Yang
Main Conference Track
GenAI Arena: An Open Evaluation Platform for Generative Models Dongfu Jiang, Max Ku, Tianle Li, Yuansheng Ni, Shizhuo Sun, Rongqi Fan, Wenhu Chen
Datasets and Benchmarks Track
Revive Re-weighting in Imbalanced Learning by Density Ratio Estimation Jiaan Luo, Feng Hong, Jiangchao Yao, Bo Han, Ya Zhang, Yanfeng Wang
Main Conference Track
AutoPSV: Automated Process-Supervised Verifier Jianqiao Lu, Zhiyang Dou, Hongru Wang, Zeyu Cao, Jianbo Dai, Yingjia Wan, Yunlong Feng, Zhijiang Guo
Main Conference Track
Free Lunch in Pathology Foundation Model: Task-specific Model Adaptation with Concept-Guided Feature Enhancement Yanyan Huang, Weiqin Zhao, Yihang Chen, Yu Fu, Lequan Yu
Main Conference Track
Du-IN: Discrete units-guided mask modeling for decoding speech from Intracranial Neural signals Hui Zheng, Hai-Teng Wang, Wei-Bang Jiang, Zhong-Tao Chen, Li He, Pei-Yang Lin, Peng-Hu Wei, Guo-Guang Zhao, Yun-Zhe Liu
Main Conference Track
Reference Trustable Decoding: A Training-Free Augmentation Paradigm for Large Language Models Luohe Shi, Yao Yao, Zuchao Li, Lefei Zhang, Hai Zhao
Main Conference Track
MambaSCI: Efficient Mamba-UNet for Quad-Bayer Patterned Video Snapshot Compressive Imaging Zhenghao Pan, Haijin Zeng, Jiezhang Cao, Yongyong Chen, Kai Zhang, Yong Xu
Main Conference Track
Learning from Snapshots of Discrete and Continuous Data Streams Pramith Devulapalli, Steve Hanneke
Main Conference Track
SongCreator: Lyrics-based Universal Song Generation Shun Lei, Yixuan Zhou, Boshi Tang, Max W. Y. Lam, Feng Liu, Hangyu Liu, Jingcheng Wu, Shiyin Kang, Zhiyong Wu, Helen Meng
Main Conference Track
Automated Label Unification for Multi-Dataset Semantic Segmentation with GNNs Rong Ma, Jie Chen, Xiangyang Xue, Jian Pu
Main Conference Track
Tetrahedron Splatting for 3D Generation Chun Gu, Zeyu Yang, Zijie Pan, Xiatian Zhu, Li Zhang
Main Conference Track
Lighting Every Darkness with 3DGS: Fast Training and Real-Time Rendering for HDR View Synthesis Xin Jin, Pengyi Jiao, Zheng-Peng Duan, Xingchao Yang, Chongyi Li, Chun-Le Guo, Bo Ren
Main Conference Track
GenWarp: Single Image to Novel Views with Semantic-Preserving Generative Warping Junyoung Seo, Kazumi Fukuda, Takashi Shibuya, Takuya Narihira, Naoki Murata, Shoukang Hu, Chieh-Hsin Lai, Seungryong Kim, Yuki Mitsufuji
Main Conference Track
Direct Unlearning Optimization for Robust and Safe Text-to-Image Models Yong-Hyun Park, Sangdoo Yun, Jin-Hwa Kim, Junho Kim, Geonhui Jang, Yonghyun Jeong, Junghyo Jo, Gayoung Lee
Main Conference Track
Balancing Context Length and Mixing Times for Reinforcement Learning at Scale Matthew Riemer, Khimya Khetarpal, Janarthanan Rajendran, Sarath Chandar
Main Conference Track
PCP-MAE: Learning to Predict Centers for Point Masked Autoencoders Xiangdong Zhang, Shaofeng Zhang, Junchi Yan
Main Conference Track
A scalable generative model for dynamical system reconstruction from neuroimaging data Eric Volkmann, Alena Brändle, Daniel Durstewitz, Georgia Koppe
Main Conference Track
FFAM: Feature Factorization Activation Map for Explanation of 3D Detectors Shuai Liu, Boyang Li, Zhiyu Fang, Mingyue Cui, Kai Huang
Main Conference Track
Dissecting the Failure of Invariant Learning on Graphs Qixun Wang, Yifei Wang, Yisen Wang, Xianghua Ying
Main Conference Track
Axioms for AI Alignment from Human Feedback Luise Ge, Daniel Halpern, Evi Micha, Ariel D. Procaccia, Itai Shapira, Yevgeniy Vorobeychik, Junlin Wu
Main Conference Track
Dynamic 3D Gaussian Fields for Urban Areas Tobias Fischer, Jonas Kulhanek, Samuel Rota Bulò, Lorenzo Porzi, Marc Pollefeys, Peter Kontschieder
Main Conference Track
Towards a "Universal Translator" for Neural Dynamics at Single-Cell, Single-Spike Resolution Yizi Zhang, Yanchen Wang, Donato M. Jiménez-Benetó, Zixuan Wang, Mehdi Azabou, Blake Richards, Renee Tung, Olivier Winter, The International Brain Laboratory, Eva Dyer, Liam Paninski, Cole Hurwitz
Main Conference Track
V-PETL Bench: A Unified Visual Parameter-Efficient Transfer Learning Benchmark Yi Xin, Siqi Luo, Xuyang Liu, Yuntao Du, Haodi Zhou, Xinyu Cheng, Christina Lee, Junlong Du, Haozhe Wang, Mingcai Chen, Ting Liu, Guimin Hu, Zhongwei Wan, Rongchao Zhang, Aoxue Li, Mingyang Yi, Xiaohong Liu
Datasets and Benchmarks Track
IKEA Manuals at Work: 4D Grounding of Assembly Instructions on Internet Videos Yunong Liu, Cristobal Eyzaguirre, Manling Li, Shubh Khanna, Juan Carlos Niebles, Vineeth Ravi, Saumitra Mishra, Weiyu Liu, Jiajun Wu
Datasets and Benchmarks Track
Bandits with Ranking Feedback Davide Maran, Francesco Bacchiocchi, Francesco Emanuele Stradi, Matteo Castiglioni, Nicola Gatti, Marcello Restelli
Main Conference Track
HiCoM: Hierarchical Coherent Motion for Dynamic Streamable Scenes with 3D Gaussian Splatting Qiankun Gao, Jiarui Meng, Chengxiang Wen, Jie Chen, Jian Zhang
Main Conference Track
Non-asymptotic Convergence of Training Transformers for Next-token Prediction Ruiquan Huang, Yingbin Liang, Jing Yang
Main Conference Track
Mitigating Backdoor Attack by Injecting Proactive Defensive Backdoor Shaokui Wei, Hongyuan Zha, Baoyuan Wu
Main Conference Track
Logarithmic Smoothing for Pessimistic Off-Policy Evaluation, Selection and Learning Otmane Sakhi, Imad Aouali, Pierre Alquier, Nicolas Chopin
Main Conference Track
Long-form factuality in large language models Jerry Wei, Chengrun Yang, Xinying Song, Yifeng Lu, Nathan Hu, Jie Huang, Dustin Tran, Daiyi Peng, Ruibo Liu, Da Huang, Cosmo Du, Quoc V. Le
Main Conference Track
Graph-enhanced Optimizers for Structure-aware Recommendation Embedding Evolution Cong Xu, Jun Wang, Jianyong Wang, Wei Zhang
Main Conference Track
FuseAnyPart: Diffusion-Driven Facial Parts Swapping via Multiple Reference Images Zheng Yu, Yaohua Wang, Siying Cui, Aixi Zhang, Wei-Long Zheng, Senzhang Wang
Main Conference Track
Multi-hypotheses Conditioned Point Cloud Diffusion for 3D Human Reconstruction from Occluded Images Donghwan Kim, Tae-Kyun Kim
Main Conference Track
Towards Harmless Rawlsian Fairness Regardless of Demographic Prior Xuanqian Wang, Jing Li, Ivor W. Tsang, Yew-Soon Ong
Main Conference Track
Towards Dynamic Message Passing on Graphs Junshu Sun, Chenxue Yang, Xiangyang Ji, Qingming Huang, Shuhui Wang
Main Conference Track
3D Gaussian Splatting as Markov Chain Monte Carlo Shakiba Kheradmand, Daniel Rebain, Gopal Sharma, Weiwei Sun, Yang-Che Tseng, Hossam Isack, Abhishek Kar, Andrea Tagliasacchi, Kwang Moo Yi
Main Conference Track
Nearest Neighbor Speculative Decoding for LLM Generation and Attribution Minghan Li, Xilun Chen, Ari Holtzman, Beidi Chen, Jimmy Lin, Wen-tau Yih, Xi Victoria Lin
Main Conference Track
Improved off-policy training of diffusion samplers Marcin Sendera, Minsu Kim, Sarthak Mittal, Pablo Lemos, Luca Scimeca, Jarrid Rector-Brooks, Alexandre Adam, Yoshua Bengio, Nikolay Malkin
Main Conference Track
Decomposing and Interpreting Image Representations via Text in ViTs Beyond CLIP Sriram Balasubramanian, Samyadeep Basu, Soheil Feizi
Main Conference Track
Aggregate-and-Adapt Natural Language Prompts for Downstream Generalization of CLIP Chen Huang, Skyler Seto, Samira Abnar, David Grangier, Navdeep Jaitly, Josh Susskind
Main Conference Track
UPS: Unified Projection Sharing for Lightweight Single-Image Super-resolution and Beyond Kun Zhou, Xinyu Lin, Zhonghang Liu, Xiaoguang Han, Jiangbo Lu
Main Conference Track
Transforming Vision Transformer: Towards Efficient Multi-Task Asynchronous Learner Hanwen Zhong, Jiaxin Chen, Yutong Zhang, Di Huang, Yunhong Wang
Main Conference Track
Get rich quick: exact solutions reveal how unbalanced initializations promote rapid feature learning Daniel Kunin, Allan Raventós, Clémentine Dominé, Feng Chen, David Klindt, Andrew Saxe, Surya Ganguli
Main Conference Track
Segment Any Change Zhuo Zheng, Yanfei Zhong, Liangpei Zhang, Stefano Ermon
Main Conference Track
Uni-Med: A Unified Medical Generalist Foundation Model For Multi-Task Learning Via Connector-MoE Xun Zhu, Ying Hu, Fanbin Mo, Miao Li, Ji Wu
Main Conference Track
The surprising efficiency of temporal difference learning for rare event prediction Xiaoou Cheng, Jonathan Weare
Main Conference Track
Multimodal Large Language Models Make Text-to-Image Generative Models Align Better Xun Wu, Shaohan Huang, Guolong Wang, Jing Xiong, Furu Wei
Main Conference Track
The Implicit Bias of Gradient Descent on Separable Multiclass Data Hrithik Ravi, Clayton Scott, Daniel Soudry, Yutong Wang
Main Conference Track
Classifier Clustering and Feature Alignment for Federated Learning under Distributed Concept Drift Junbao Chen, Jingfeng Xue, Yong Wang, Zhenyan Liu, Lu Huang
Main Conference Track
Mesa-Extrapolation: A Weave Position Encoding Method for Enhanced Extrapolation in LLMs Xin Ma, Yang Liu, Jingjing Liu, Xiaoxu Ma
Main Conference Track
TorchSpatial: A Location Encoding Framework and Benchmark for Spatial Representation Learning Nemin Wu, Qian Cao, Zhangyu Wang, Zeping Liu, Yanlin Qi, Jielu Zhang, Joshua Ni, Xiaobai Yao, Hongxu Ma, Lan Mu, Stefano Ermon, Tanuja Ganu, Akshay Nambi, Ni Lao, Gengchen Mai
Datasets and Benchmarks Track
Lumen: Unleashing Versatile Vision-Centric Capabilities of Large Multimodal Models Yang Jiao, Shaoxiang Chen, Zequn Jie, Jingjing Chen, Lin Ma, Yu-Gang Jiang
Main Conference Track
Voxel Mamba: Group-Free State Space Models for Point Cloud based 3D Object Detection Guowen Zhang, Lue Fan, Chenhang He, Zhen Lei, Zhaoxiang Zhang, Lei Zhang
Main Conference Track
FedLPA: One-shot Federated Learning with Layer-Wise Posterior Aggregation Xiang Liu, Liangxi Liu, Feiyang Ye, Yunheng Shen, Xia Li, Linshan Jiang, Jialin Li
Main Conference Track
On the Comparison between Multi-modal and Single-modal Contrastive Learning Wei Huang, Andi Han, Yongqiang Chen, Yuan Cao, Zhiqiang Xu, Taiji Suzuki
Main Conference Track
Stability and Generalizability in SDE Diffusion Models with Measure-Preserving Dynamics Weitong Zhang, Chengqi Zang, Liu Li, Sarah Cechnicka, Cheng Ouyang, Bernhard Kainz
Main Conference Track
QGFN: Controllable Greediness with Action Values Elaine Lau, Stephen Zhewen Lu, Ling Pan, Doina Precup, Emmanuel Bengio
Main Conference Track
Rethinking Human Evaluation Protocol for Text-to-Video Models: Enhancing Reliability, Reproducibility, and Practicality Tianle Zhang, Langtian Ma, Yuchen Yan, Yuchen Zhang, Kai Wang, Yue Yang, Ziyao Guo, Wenqi Shao, Yang You, Yu Qiao, Ping Luo, Kaipeng Zhang
Main Conference Track
Mitigating Reward Overoptimization via Lightweight Uncertainty Estimation Xiaoying Zhang, Jean-François Ton, Wei Shen, Hongning Wang, Yang Liu
Main Conference Track
A Structure-Aware Framework for Learning Device Placements on Computation Graphs Shukai Duan, Heng Ping, Nikos Kanakaris, Xiongye Xiao, Panagiotis Kyriakis, Nesreen K. Ahmed, Peiyu Zhang, Guixiang Ma, Mihai Capotă, Shahin Nazarian, Theodore L. Willke, Paul Bogdan
Main Conference Track
Online Iterative Reinforcement Learning from Human Feedback with General Preference Model Chenlu Ye, Wei Xiong, Yuheng Zhang, Hanze Dong, Nan Jiang, Tong Zhang
Main Conference Track
SlowFocus: Enhancing Fine-grained Temporal Understanding in Video LLM Ming Nie, Dan Ding, Chunwei Wang, Yuanfan Guo, Jianhua Han, Hang Xu, Li Zhang
Main Conference Track
Higher-Order Causal Message Passing for Experimentation with Complex Interference Mohsen Bayati, Yuwei Luo, William Overman, Sadegh Shirani, Ruoxuan Xiong
Main Conference Track
SWT-Bench: Testing and Validating Real-World Bug-Fixes with Code Agents Niels Mündler, Mark Niklas Müller, Jingxuan He, Martin Vechev
Main Conference Track
Differentially Private Set Representations Sarvar Patel, Giuseppe Persiano, Joon Young Seo, Kevin Yeo
Main Conference Track
realSEUDO for real-time calcium imaging analysis Iuliia Dmitrieva, Sergey Babkin, Adam S. Charles
Main Conference Track
Probabilistic Federated Prompt-Tuning with Non-IID and Imbalanced Data Pei-Yau Weng, Minh Hoang, Lam M. Nguyen, My T. Thai, Tsui-Wei Weng, Trong Nghia Hoang
Main Conference Track
Monoculture in Matching Markets Kenny Peng, Nikhil Garg
Main Conference Track
BuckTales: A multi-UAV dataset for multi-object tracking and re-identification of wild antelopes Hemal Naik, Junran Yang, Dipin Das, Margaret C Crofoot, Akanksha Rathore, Vivek Hari Sridhar
Datasets and Benchmarks Track
Input-to-State Stable Coupled Oscillator Networks for Closed-form Model-based Control in Latent Space Maximilian Stölzle, Cosimo Della Santina
Main Conference Track
SceneCraft: Layout-Guided 3D Scene Generation Xiuyu Yang, Yunze Man, Jun-Kun Chen, Yu-Xiong Wang
Main Conference Track
Bayes-optimal learning of an extensive-width neural network from quadratically many samples Antoine Maillard, Emanuele Troiani, Simon Martin, Lenka Zdeborová, Florent Krzakala
Main Conference Track
Croissant: A Metadata Format for ML-Ready Datasets Mubashara Akhtar, Omar Benjelloun, Costanza Conforti, Luca Foschini, Pieter Gijsbers, Joan Giner-Miguelez, Sujata Goswami, Nitisha Jain, Michalis Karamousadakis, Satyapriya Krishna, Michael Kuchnik, Sylvain Lesage, Quentin Lhoest, Pierre Marcenac, Manil Maskey, Peter Mattson, Luis Oala, Hamidah Oderinwale, Pierre Ruyssen, Tim Santos, Rajat Shinde, Elena Simperl, Arjun Suresh, Goeffry Thomas, Slava Tykhonov, Joaquin Vanschoren, Susheel Varma, Jos van der Velde, Steffen Vogler, Carole-Jean Wu, Luyao Zhang
Datasets and Benchmarks Track
TAPVid-3D: A Benchmark for Tracking Any Point in 3D Skanda Koppula, Ignacio Rocco, Yi Yang, Joe Heyward, João Carreira, Andrew Zisserman, Gabriel Brostow, Carl Doersch
Datasets and Benchmarks Track
One-Layer Transformer Provably Learns One-Nearest Neighbor In Context Zihao Li, Yuan Cao, Cheng Gao, Yihan He, Han Liu, Jason M. Klusowski, Jianqing Fan, Mengdi Wang
Main Conference Track
Promoting Fairness Among Dynamic Agents in Online-Matching Markets under Known Stationary Arrival Distributions Will Ma, Pan Xu
Main Conference Track
RaVL: Discovering and Mitigating Spurious Correlations in Fine-Tuned Vision-Language Models Maya Varma, Jean-Benoit Delbrouck, Zhihong Chen, Akshay Chaudhari, Curtis Langlotz
Main Conference Track
From Trojan Horses to Castle Walls: Unveiling Bilateral Data Poisoning Effects in Diffusion Models Zhuoshi Pan, Yuguang Yao, Gaowen Liu, Bingquan Shen, H. Vicky Zhao, Ramana Rao Kompella, Sijia Liu
Main Conference Track
Sample Complexity of Posted Pricing for a Single Item Billy Jin, Thomas Kesselheim, Will Ma, Sahil Singla
Main Conference Track
Generalizing CNNs to graphs with learnable neighborhood quantization Isaac Osafo Nkansah, Neil Gallagher, Ruchi Sandilya, Conor Liston, Logan Grosenick
Main Conference Track
Leveraging Separated World Model for Exploration in Visually Distracted Environments Kaichen Huang, Shenghua Wan, Minghao Shao, Hai-Hang Sun, Le Gan, Shuai Feng, De-Chuan Zhan
Main Conference Track
Preventing Model Collapse in Deep Canonical Correlation Analysis by Noise Regularization Junlin He, Jinxiao Du, Susu Xu, Wei Ma
Main Conference Track
UniBench: Visual Reasoning Requires Rethinking Vision-Language Beyond Scaling Haider Al-Tahan, Quentin Garrido, Randall Balestriero, Diane Bouchacourt, Caner Hazirbas, Mark Ibrahim
Datasets and Benchmarks Track
Reawakening knowledge: Anticipatory recovery from catastrophic interference via structured training Yanlai Yang, Matt Jones, Michael C. Mozer, Mengye Ren
Main Conference Track
Diffusion Model with Cross Attention as an Inductive Bias for Disentanglement Tao Yang, Cuiling Lan, Yan Lu, Nanning Zheng
Main Conference Track
Error Correction Output Codes for Robust Neural Networks against Weight-errors: A Neural Tangent Kernel Point of View Anlan Yu, Shusen Jing, Ning Lyu, Wujie Wen, Zhiyuan Yan
Main Conference Track
Optimal Rates for Vector-Valued Spectral Regularization Learning Algorithms Dimitri Meunier, Zikai Shen, Mattes Mollenhauer, Arthur Gretton, Zhu Li
Main Conference Track
Conjugated Semantic Pool Improves OOD Detection with Pre-trained Vision-Language Models Mengyuan Chen, Junyu Gao, Changsheng Xu
Main Conference Track
Benchmarking Estimators for Natural Experiments: A Novel Dataset and a Doubly Robust Algorithm R. Teal Witter, Christopher Musco
Datasets and Benchmarks Track
Learning from Noisy Labels via Conditional Distributionally Robust Optimization Hui Guo, Grace Y. Yi, Boyu Wang
Main Conference Track
CE-NAS: An End-to-End Carbon-Efficient Neural Architecture Search Framework Yiyang Zhao, Yunzhuo Liu, Bo Jiang, Tian Guo
Main Conference Track
Customized Multiple Clustering via Multi-Modal Subspace Proxy Learning Jiawei Yao, Qi Qian, Juhua Hu
Main Conference Track
RL in Latent MDPs is Tractable: Online Guarantees via Off-Policy Evaluation Jeongyeol Kwon, Shie Mannor, Constantine Caramanis, Yonathan Efroni
Main Conference Track
AFBench: A Large-scale Benchmark for Airfoil Design Jian Liu, Jianyu Wu, Hairun Xie, Guoqing Zhang, Jing Wang, Wei Liu, Wanli Ouyang, Junjun Jiang, Xianming Liu, Shixiang Tang, Miao Zhang
Datasets and Benchmarks Track
REDUCR: Robust Data Downsampling using Class Priority Reweighting William Bankes, George Hughes, Ilija Bogunovic, Zi Wang
Main Conference Track
Proving Olympiad Algebraic Inequalities without Human Demonstrations Chenrui Wei, Mengzhou Sun, Wei Wang
Datasets and Benchmarks Track
Auditing Privacy Mechanisms via Label Inference Attacks Róbert István Busa-Fekete, Travis Dick, Claudio Gentile, Andrés Muñoz Medina, Adam Smith, Marika Swanberg
Main Conference Track
Provable Posterior Sampling with Denoising Oracles via Tilted Transport Joan Bruna, Jiequn Han
Main Conference Track
AgentDojo: A Dynamic Environment to Evaluate Prompt Injection Attacks and Defenses for LLM Agents Edoardo Debenedetti, Jie Zhang, Mislav Balunovic, Luca Beurer-Kellner, Marc Fischer, Florian Tramèr
Datasets and Benchmarks Track
Theoretical Investigations and Practical Enhancements on Tail Task Risk Minimization in Meta Learning Yiqin Lv, Qi Wang, Dong Liang, Zheng Xie
Main Conference Track
SAM-Guided Masked Token Prediction for 3D Scene Understanding Zhimin Chen, Liang Yang, Yingwei Li, Longlong Jing, Bing Li
Main Conference Track
Gradient-free Decoder Inversion in Latent Diffusion Models Seongmin Hong, Suh Yoon Jeon, Kyeonghyun Lee, Ernest K. Ryu, Se Young Chun
Main Conference Track
Codec Avatar Studio: Paired Human Captures for Complete, Driveable, and Generalizable Avatars Julieta Martinez, Emily Kim, Javier Romero, Timur Bagautdinov, Shunsuke Saito, Shoou-I Yu, Stuart Anderson, Michael Zollhöfer, Te-Li Wang, Shaojie Bai, Chenghui Li, Shih-En Wei, Rohan Joshi, Wyatt Borsos, Tomas Simon, Jason Saragih, Paul Theodosis, Alexander Greene, Anjani Josyula, Silvio Mano Maeta, Andrew I. Jewett, Simon Venshtain, Christopher Heilman, Yueh-Tung Chen, Sidi Fu, Mohamed Ezzeldin A. Elshaer, Tingfang Du, Longhua Wu, Shen-Chi Chen, Kai Kang, Michael Wu, Youssef Emad, Steven Longay, Ashley Brewer, Hitesh Shah, James Booth, Taylor Koska, Kayla Haidle, Matt Andromalos, Joanna Hsu, Thomas Dauer, Peter Selednik, Tim Godisart, Scott Ardisson, Matthew Cipperly, Ben Humberston, Lon Farr, Bob Hansen, Peihong Guo, Dave Braun, Steven Krenn, He Wen, Lucas Evans, Natalia Fadeeva, Matthew Stewart, Gabriel Schwartz, Divam Gupta, Gyeongsik Moon, Kaiwen Guo, Yuan Dong, Yichen Xu, Takaaki Shiratori, Fabian Prada, Bernardo R. Pires, Bo Peng, Julia Buffalini, Autumn Trimble, Kevyn McPhail, Melissa Schoeller, Yaser Sheikh
Datasets and Benchmarks Track
GACL: Exemplar-Free Generalized Analytic Continual Learning Huiping Zhuang, Yizhu Chen, Di Fang, Run He, Kai Tong, Hongxin Wei, Ziqian Zeng, Cen Chen
Main Conference Track
QT-ViT: Improving Linear Attention in ViT with Quadratic Taylor Expansion Yixing Xu, Chao Li, Dong Li, Xiao Sheng, Fan Jiang, Lu Tian, Emad Barsoum
Main Conference Track
Self-supervised Transformation Learning for Equivariant Representations Jaemyung Yu, Jaehyun Choi, Dong-Jae Lee, HyeongGwon Hong, Junmo Kim
Main Conference Track
Measuring Progress in Dictionary Learning for Language Model Interpretability with Board Game Models Adam Karvonen, Benjamin Wright, Can Rager, Rico Angell, Jannik Brinkmann, Logan Smith, Claudio Mayrink Verdun, David Bau, Samuel Marks
Main Conference Track
Towards a theory of how the structure of language is acquired by deep neural networks Francesco Cagnetta, Matthieu Wyart
Main Conference Track
AnyFit: Controllable Virtual Try-on for Any Combination of Attire Across Any Scenario Yuhan Li, Hao Zhou, Wenxiang Shang, Ran Lin, Xuanhong Chen, BingBing Ni
Main Conference Track
Non-Stationary Learning of Neural Networks with Automatic Soft Parameter Reset Alexandre Galashov, Michalis K. Titsias, András György, Clare Lyle, Razvan Pascanu, Yee Whye Teh, Maneesh Sahani
Main Conference Track
Fairness-Aware Meta-Learning via Nash Bargaining Yi Zeng, Xuelin Yang, Li Chen, Cristian Canton Ferrer, Ming Jin, Michael I. Jordan, Ruoxi Jia
Main Conference Track
Trajectory Data Suffices for Statistically Efficient Learning in Offline RL with Linear $q^\pi$-Realizability and Concentrability Volodymyr Tkachuk, Gellért Weisz, Csaba Szepesvári
Main Conference Track
Scaling Law for Time Series Forecasting Jingzhe Shi, Qinwei Ma, Huan Ma, Lei Li
Main Conference Track
Improving Alignment and Robustness with Circuit Breakers Andy Zou, Long Phan, Justin Wang, Derek Duenas, Maxwell Lin, Maksym Andriushchenko, Rowan Wang, Zico Kolter, Matt Fredrikson, Dan Hendrycks
Main Conference Track
Privacy Backdoors: Enhancing Membership Inference through Poisoning Pre-trained Models Yuxin Wen, Leo Marchyok, Sanghyun Hong, Jonas Geiping, Tom Goldstein, Nicholas Carlini
Main Conference Track
Model Reconstruction Using Counterfactual Explanations: A Perspective From Polytope Theory Pasan Dissanayake, Sanghamitra Dutta
Main Conference Track
TuneTables: Context Optimization for Scalable Prior-Data Fitted Networks Benjamin Feuer, Robin Tibor Schirrmeister, Valeriia Cherepanova, Chinmay Hegde, Frank Hutter, Micah Goldblum, Niv Cohen, Colin White
Main Conference Track
SmallToLarge (S2L): Scalable Data Selection for Fine-tuning Large Language Models by Summarizing Training Trajectories of Small Models Yu Yang, Siddhartha Mishra, Jeffrey Chiang, Baharan Mirzasoleiman
Main Conference Track
Improving Equivariant Model Training via Constraint Relaxation Stefanos Pertigkiozoglou, Evangelos Chatzipantazis, Shubhendu Trivedi, Kostas Daniilidis
Main Conference Track
ClavaDDPM: Multi-relational Data Synthesis with Cluster-guided Diffusion Models Wei Pang, Masoumeh Shafieinejad, Lucy Liu, Stephanie Hazlewood, Xi He
Main Conference Track
Cooperation, Competition, and Maliciousness: LLM-Stakeholders Interactive Negotiation Sahar Abdelnabi, Amr Gomaa, Sarath Sivaprasad, Lea Schönherr, Mario Fritz
Datasets and Benchmarks Track
Multi-language Diversity Benefits Autoformalization Albert Q. Jiang, Wenda Li, Mateja Jamnik
Main Conference Track
The Value of Reward Lookahead in Reinforcement Learning Nadav Merlis, Dorian Baudry, Vianney Perchet
Main Conference Track
On the Stability and Generalization of Meta-Learning Yunjuan Wang, Raman Arora
Main Conference Track
Cross-model Control: Improving Multiple Large Language Models in One-time Training Jiayi Wu, Hao Sun, Hengyi Cai, Lixin Su, Shuaiqiang Wang, Dawei Yin, Xiang Li, Ming Gao
Main Conference Track
How Does Variance Shape the Regret in Contextual Bandits? Zeyu Jia, Jian Qian, Alexander Rakhlin, Chen-Yu Wei
Main Conference Track
Understanding and Minimising Outlier Features in Transformer Training Bobby He, Lorenzo Noci, Daniele Paliotta, Imanol Schlag, Thomas Hofmann
Main Conference Track
Guided Trajectory Generation with Diffusion Models for Offline Model-based Optimization Taeyoung Yun, Sujin Yun, Jaewoo Lee, Jinkyoo Park
Main Conference Track
Towards training digitally-tied analog blocks via hybrid gradient computation Timothy Nest, Maxence Ernoult
Main Conference Track
Achievable distributional robustness when the robust risk is only partially identified Julia Kostin, Nicola Gnecco, Fanny Yang
Main Conference Track
Phased Consistency Models Fu-Yun Wang, Zhaoyang Huang, Alexander William Bergman, Dazhong Shen, Peng Gao, Michael Lingelbach, Keqiang Sun, Weikang Bian, Guanglu Song, Yu Liu, Xiaogang Wang, Hongsheng Li
Main Conference Track
Zero-shot Image Editing with Reference Imitation Xi Chen, Yutong Feng, Mengting Chen, Yiyang Wang, Shilong Zhang, Yu Liu, Yujun Shen, Hengshuang Zhao
Main Conference Track
Toward Efficient Inference for Mixture of Experts Haiyang Huang, Newsha Ardalani, Anna Sun, Liu Ke, Hsien-Hsin S. Lee, Shruti Bhosale, Carole-Jean Wu, Benjamin Lee
Main Conference Track
Learning Disentangled Representations for Perceptual Point Cloud Quality Assessment via Mutual Information Minimization Ziyu Shan, Yujie Zhang, Yipeng Liu, Yiling Xu
Main Conference Track
Practical Shuffle Coding Julius Kunze, Daniel Severo, Jan-Willem van de Meent, James Townsend
Main Conference Track
DN-4DGS: Denoised Deformable Network with Temporal-Spatial Aggregation for Dynamic Scene Rendering Jiahao Lu, Jiacheng Deng, Ruijie Zhu, Yanzhe Liang, Wenfei Yang, Tianzhu Zhang, Xu Zhou
Main Conference Track
PGN: The RNN's New Successor is Effective for Long-Range Time Series Forecasting Yuxin Jia, Youfang Lin, Jing Yu, Shuo Wang, Tianhao Liu, Huaiyu Wan
Main Conference Track
Dissect Black Box: Interpreting for Rule-Based Explanations in Unsupervised Anomaly Detection Yu Zhang, Ruoyu Li, Nengwu Wu, Qing Li, Xinhan Lin, Yang Hu, Tao Li, Yong Jiang
Main Conference Track
Vision Transformer Neural Architecture Search for Out-of-Distribution Generalization: Benchmark and Insights Sy-Tuyen Ho, Tuan Van Vo, Somayeh Ebrahimkhani, Ngai-Man Cheung
Main Conference Track
Information-theoretic Generalization Analysis for Expected Calibration Error Futoshi Futami, Masahiro Fujisawa
Main Conference Track
Interpreting CLIP with Sparse Linear Concept Embeddings (SpLiCE) Usha Bhalla, Alex Oesterling, Suraj Srinivas, Flavio P. Calmon, Himabindu Lakkaraju
Main Conference Track
Small coresets via negative dependence: DPPs, linear statistics, and concentration Rémi Bardenet, Subhroshekhar Ghosh, Hugo Simon-Onfroy, Hoang Son Tran
Main Conference Track
One-Shot Safety Alignment for Large Language Models via Optimal Dualization Xinmeng Huang, Shuo Li, Edgar Dobriban, Osbert Bastani, Hamed Hassani, Dongsheng Ding
Main Conference Track
Mind the Gap: A Causal Perspective on Bias Amplification in Prediction & Decision-Making Drago Plecko, Elias Bareinboim
Main Conference Track
Leveraging an ECG Beat Diffusion Model for Morphological Reconstruction from Indirect Signals Lisa Bedin, Gabriel Cardoso, Josselin Duchateau, Remi Dubois, Eric Moulines
Main Conference Track
FASTopic: Pretrained Transformer is a Fast, Adaptive, Stable, and Transferable Topic Model Xiaobao Wu, Thong Nguyen, Delvin Ce Zhang, William Yang Wang, Anh Tuan Luu
Main Conference Track
EffiLearner: Enhancing Efficiency of Generated Code via Self-Optimization Dong Huang, Jianbo Dai, Han Weng, Puzhen Wu, Yuhao Qing, Heming Cui, Zhijiang Guo, Jie M. Zhang
Main Conference Track
Don't Compress Gradients in Random Reshuffling: Compress Gradient Differences Abdurakhmon Sadiev, Grigory Malinovsky, Eduard Gorbunov, Igor Sokolov, Ahmed Khaled, Konstantin Burlachenko, Peter Richtárik
Main Conference Track
Hybrid Generative AI for De Novo Design of Co-Crystals with Enhanced Tabletability Nina Gubina, Andrei Dmitrenko, Gleb Solovev, Lyubov Yamshchikova, Oleg Petrov, Ivan Lebedev, Nikita Serov, Grigorii Kirgizov, Nikolay Nikitin, Vladimir Vinogradov
Main Conference Track
Hyper-opinion Evidential Deep Learning for Out-of-Distribution Detection Jingen Qu, Yufei Chen, Xiaodong Yue, Wei Fu, Qiguang Huang
Main Conference Track
Mimicking To Dominate: Imitation Learning Strategies for Success in Multiagent Games The Viet Bui, Tien Mai, Thanh Hong Nguyen
Main Conference Track
Emergence of Hidden Capabilities: Exploring Learning Dynamics in Concept Space Core Francisco Park, Maya Okawa, Andrew Lee, Hidenori Tanaka, Ekdeep Singh Lubana
Main Conference Track
MedCalc-Bench: Evaluating Large Language Models for Medical Calculations Nikhil Khandekar, Qiao Jin, Guangzhi Xiong, Soren Dunn, Serina S Applebaum, Zain Anwar, Maame Sarfo-Gyamfi, Conrad W Safranek, Abid A Anwar, Andrew Zhang, Aidan Gilson, Maxwell B Singer, Amisha Dave, Andrew Taylor, Aidong Zhang, Qingyu Chen, Zhiyong Lu
Datasets and Benchmarks Track
Parameter Competition Balancing for Model Merging Guodong Du, Junlin Lee, Jing Li, Runhua Jiang, Yifei Guo, Shuyang Yu, Hanting Liu, Sim Kuan Goh, Ho-Kin Tang, Daojing He, Min Zhang
Main Conference Track
Deep Learning for Computing Convergence Rates of Markov Chains Yanlin Qu, Jose Blanchet, Peter Glynn
Main Conference Track
CultureLLM: Incorporating Cultural Differences into Large Language Models Cheng Li, Mengzhuo Chen, Jindong Wang, Sunayana Sitaram, Xing Xie
Main Conference Track
Visual Autoregressive Modeling: Scalable Image Generation via Next-Scale Prediction Keyu Tian, Yi Jiang, Zehuan Yuan, Bingyue Peng, Liwei Wang
Main Conference Track
PointAD: Comprehending 3D Anomalies from Points and Pixels for Zero-shot 3D Anomaly Detection Qihang Zhou, Jiangtao Yan, Shibo He, Wenchao Meng, Jiming Chen
Main Conference Track
Personalized Adapter for Large Meteorology Model on Devices: Towards Weather Foundation Models Shengchao Chen, Guodong Long, Jing Jiang, Chengqi Zhang
Main Conference Track
NeuralFluid: Nueral Fluidic System Design and Control with Differentiable Simulation Yifei Li, Yuchen Sun, Pingchuan Ma, Eftychios Sifakis, Tao Du, Bo Zhu, Wojciech Matusik
Main Conference Track
What does guidance do? A fine-grained analysis in a simple setting Muthu Chidambaram, Khashayar Gatmiry, Sitan Chen, Holden Lee, Jianfeng Lu
Main Conference Track
Beyond Concept Bottleneck Models: How to Make Black Boxes Intervenable? Sonia Laguna, Ričards Marcinkevičs, Moritz Vandenhirtz, Julia E. Vogt
Main Conference Track
Images that Sound: Composing Images and Sounds on a Single Canvas Ziyang Chen, Daniel Geng, Andrew Owens
Main Conference Track
DeTikZify: Synthesizing Graphics Programs for Scientific Figures and Sketches with TikZ Jonas Belouadi, Simone Paolo Ponzetto, Steffen Eger
Main Conference Track
MagR: Weight Magnitude Reduction for Enhancing Post-Training Quantization Aozhong Zhang, Naigang Wang, Yanxia Deng, Xin Li, Zi Yang, Penghang Yin
Main Conference Track
Boosting Alignment for Post-Unlearning Text-to-Image Generative Models Myeongseob Ko, Henry Li, Zhun Wang, Jonathan Patsenker, Jiachen T. Wang, Qinbin Li, Ming Jin, Dawn Song, Ruoxi Jia
Main Conference Track
DreamCatcher: A Wearer-aware Multi-modal Sleep Event Dataset Based on Earables in Non-restrictive Environments Zeyu Wang, Xiyuxing Zhang, Ruotong Yu, Yuntao Wang, Kenneth Christofferson, Jingru Zhang, Alex Mariakakis, Yuanchun Shi
Datasets and Benchmarks Track
Federated Learning over Connected Modes Dennis Grinwald, Philipp Wiesner, Shinichi Nakajima
Main Conference Track
Faster Diffusion: Rethinking the Role of the Encoder for Diffusion Model Inference Senmao Li, Taihang Hu, Joost van de Weijer, Fahad Shahbaz Khan, Tao Liu, Linxuan Li, Shiqi Yang, Yaxing Wang, Ming-Ming Cheng, Jian Yang
Main Conference Track
A provable control of sensitivity of neural networks through a direct parameterization of the overall bi-Lipschitzness Yuri Kinoshita, Taro Toyoizumi
Main Conference Track
Dynamic Subgroup Identification in Covariate-adjusted Response-adaptive Randomization Experiments Yanping Li, Jingshen Wang, Waverly Wei
Main Conference Track
TinyLUT: Tiny Look-Up Table for Efficient Image Restoration at the Edge Huanan Li, Juntao Guan, Rui Lai, Sijun Ma, Lin Gu, Zhangming Zhu
Main Conference Track
PRODuctive bandits: Importance Weighting No More Julian Zimmert, Teodor V. Marinov
Main Conference Track
Continual Learning in the Frequency Domain Ruiqi Liu, Boyu Diao, Libo Huang, Zijia An, Zhulin An, Yongjun Xu
Main Conference Track
Advancing Open-Set Domain Generalization Using Evidential Bi-Level Hardest Domain Scheduler Kunyu Peng, Di Wen, Kailun Yang, Ao Luo, Yufan Chen, Jia Fu, M. Saquib Sarfraz, Alina Roitberg, Rainer Stiefelhagen
Main Conference Track
Flexible mapping of abstract domains by grid cells via self-supervised extraction and projection of generalized velocity signals Abhiram Iyer, Sarthak Chandra, Sugandha Sharma, Ila Fiete
Main Conference Track
Protected Test-Time Adaptation via Online Entropy Matching: A Betting Approach Yarin Bar, Shalev Shaer, Yaniv Romano
Main Conference Track
Identification of Analytic Nonlinear Dynamical Systems with Non-asymptotic Guarantees Negin Musavi, Ziyao Guo, Geir Dullerud, Yingying Li
Main Conference Track
A Closer Look at the CLS Token for Cross-Domain Few-Shot Learning Yixiong Zou, Shuai Yi, Yuhua Li, Ruixuan Li
Main Conference Track
INDICT: Code Generation with Internal Dialogues of Critiques for Both Security and Helpfulness Hung Le, Yingbo Zhou, Caiming Xiong, Silvio Savarese, Doyen Sahoo
Main Conference Track
On the Necessity of Collaboration for Online Model Selection with Decentralized Data Junfan Li, Zheshun Wu, Zenglin Xu, Irwin King
Main Conference Track
Who Evaluates the Evaluations? Objectively Scoring Text-to-Image Prompt Coherence Metrics with T2IScoreScore (TS2) Michael Saxon, Fatima Jahara, Mahsa Khoshnoodi, Yujie Lu, Aditya Sharma, William Yang Wang
Main Conference Track
Exploiting the Replay Memory Before Exploring the Environment: Enhancing Reinforcement Learning Through Empirical MDP Iteration Hongming Zhang, Chenjun Xiao, Chao Gao, Han Wang, Bo Xu, Martin Müller
Main Conference Track
SocraticLM: Exploring Socratic Personalized Teaching with Large Language Models Jiayu Liu, Zhenya Huang, Tong Xiao, Jing Sha, Jinze Wu, Qi Liu, Shijin Wang, Enhong Chen
Main Conference Track
IWBVT: Instance Weighting-based Bias-Variance Trade-off for Crowdsourcing Wenjun Zhang, Liangxiao Jiang, Chaoqun Li
Main Conference Track
A-FedPD: Aligning Dual-Drift is All Federated Primal-Dual Learning Needs Yan Sun, Li Shen, Dacheng Tao
Main Conference Track
Sub-optimal Experts mitigate Ambiguity in Inverse Reinforcement Learning Riccardo Poiani, Gabriele Curti, Alberto Maria Metelli, Marcello Restelli
Main Conference Track
Leveraging Contrastive Learning for Enhanced Node Representations in Tokenized Graph Transformers Jinsong Chen, Hanpeng Liu, John E. Hopcroft, Kun He
Main Conference Track
DoFIT: Domain-aware Federated Instruction Tuning with Alleviated Catastrophic Forgetting Binqian Xu, Xiangbo Shu, Haiyang Mei, Zechen Bai, Basura Fernando, Mike Zheng Shou, Jinhui Tang
Main Conference Track
In-Context Learning with Representations: Contextual Generalization of Trained Transformers Tong Yang, Yu Huang, Yingbin Liang, Yuejie Chi
Main Conference Track
Multi-Winner Reconfiguration Jiehua Chen, Christian Hatschka, Sofia Simola
Main Conference Track
Large Language Models Must Be Taught to Know What They Don’t Know Sanyam Kapoor, Nate Gruver, Manley Roberts, Katherine Collins, Arka Pal, Umang Bhatt, Adrian Weller, Samuel Dooley, Micah Goldblum, Andrew Gordon Wilson
Main Conference Track
Learning Infinitesimal Generators of Continuous Symmetries from Data Gyeonghoon Ko, Hyunsu Kim, Juho Lee
Main Conference Track
ConceptMix: A Compositional Image Generation Benchmark with Controllable Difficulty Xindi Wu, Dingli Yu, Yangsibo Huang, Olga Russakovsky, Sanjeev Arora
Datasets and Benchmarks Track
Brain-JEPA: Brain Dynamics Foundation Model with Gradient Positioning and Spatiotemporal Masking Zijian Dong, Ruilin Li, Yilei Wu, Thuan Tinh Nguyen, Joanna Su Xian Chong, Fang Ji, Nathanael Ren Jie Tong, Christopher Li Hsian Chen, Juan Helen Zhou
Main Conference Track
StreamingDialogue: Prolonged Dialogue Learning via Long Context Compression with Minimal Losses Jia-Nan Li, Quan Tu, Cunli Mao, Zhengtao Yu, Ji-Rong Wen, Rui Yan
Main Conference Track
Enhancing Robustness in Deep Reinforcement Learning: A Lyapunov Exponent Approach Rory Young, Nicolas Pugeault
Main Conference Track
SpeechForensics: Audio-Visual Speech Representation Learning for Face Forgery Detection Yachao Liang, Min Yu, Gang Li, Jianguo Jiang, Boquan Li, Feng Yu, Ning Zhang, Xiang Meng, Weiqing Huang
Main Conference Track
On Feature Learning in Structured State Space Models Leena Chennuru Vankadara, Jin Xu, Moritz Haas, Volkan Cevher
Main Conference Track
Toward Conditional Distribution Calibration in Survival Prediction Shi-ang Qi, Yakun Yu, Russell Greiner
Main Conference Track
Cascade Speculative Drafting for Even Faster LLM Inference Ziyi Chen, Xiaocong Yang, Jiacheng Lin, Chenkai Sun, Kevin Chen-Chuan Chang, Jie Huang
Main Conference Track
Local to Global: Learning Dynamics and Effect of Initialization for Transformers Ashok Vardhan Makkuva, Marco Bondaschi, Chanakya Ekbote, Adway Girish, Alliot Nagle, Hyeji Kim, Michael Gastpar
Main Conference Track
Localized Zeroth-Order Prompt Optimization Wenyang Hu, Yao Shu, Zongmin Yu, Zhaoxuan Wu, Xiaoqiang Lin, Zhongxiang Dai, See-Kiong Ng, Bryan Kian Hsiang Low
Main Conference Track
Bayesian Optimisation with Unknown Hyperparameters: Regret Bounds Logarithmically Closer to Optimal Juliusz Ziomek, Masaki Adachi, Michael A. Osborne
Main Conference Track
Neural Model Checking Mirco Giacobbe, Daniel Kroening, Abhinandan Pal, Michael Tautschnig
Main Conference Track
Aligning Vision Models with Human Aesthetics in Retrieval: Benchmarks and Algorithms Miaosen Zhang, Yixuan Wei, Zhen Xing, Yifei Ma, Zuxuan Wu, Ji Li, Zheng Zhang, Qi Dai, Chong Luo, Xin Geng, Baining Guo
Main Conference Track
Benchmark Data Repositories for Better Benchmarking Rachel Longjohn, Markelle Kelly, Sameer Singh, Padhraic Smyth
Datasets and Benchmarks Track
How many classifiers do we need? Hyunsuk Kim, Liam Hodgkinson, Ryan Theisen, Michael W. Mahoney
Main Conference Track
HENASY: Learning to Assemble Scene-Entities for Interpretable Egocentric Video-Language Model Khoa Vo, Thinh Phan, Kashu Yamazaki, Minh Tran, Ngan Le
Main Conference Track
SpaFL: Communication-Efficient Federated Learning With Sparse Models And Low Computational Overhead Minsu Kim, Walid Saad, Merouane Debbah, Choong Seon Hong
Main Conference Track
Discovering Preference Optimization Algorithms with and for Large Language Models Chris Lu, Samuel Holt, Claudio Fanconi, Alex J. Chan, Jakob Foerster, Mihaela van der Schaar, Robert Tjarko Lange
Main Conference Track
Interventional Causal Discovery in a Mixture of DAGs Burak Varıcı, Dmitriy A. Katz, Dennis Wei, Prasanna Sattigeri, Ali Tajer
Main Conference Track
Minimax Optimal and Computationally Efficient Algorithms for Distributionally Robust Offline Reinforcement Learning Zhishuai Liu, Pan Xu
Main Conference Track
WhodunitBench: Evaluating Large Multimodal Agents via Murder Mystery Games Junlin Xie, Ruifei Zhang, Zhihong Chen, Xiang Wan, Guanbin Li
Datasets and Benchmarks Track
Neur2BiLO: Neural Bilevel Optimization Justin Dumouchelle, Esther Julien, Jannis Kurtz, Elias B. Khalil
Main Conference Track
Proving Theorems Recursively Haiming Wang, Huajian Xin, Zhengying Liu, Wenda Li, Yinya Huang, Jianqiao Lu, Zhicheng Yang, Jing Tang, Jian Yin, Zhenguo Li, Xiaodan Liang
Main Conference Track
Analytically deriving Partial Information Decomposition for affine systems of stable and convolution-closed distributions Chaitanya Goswami, Amanda Merkley
Main Conference Track
UDON: Universal Dynamic Online distillatioN for generic image representations Nikolaos-Antonios Ypsilantis, Kaifeng Chen, André Araujo, Ondřej Chum
Main Conference Track
Disentangling Linear Quadratic Control with Untrusted ML Predictions Tongxin Li, Hao Liu, Yisong Yue
Main Conference Track
CleanDiffuser: An Easy-to-use Modularized Library for Diffusion Models in Decision Making Zibin Dong, Yifu Yuan, Jianye Hao, Fei Ni, Yi Ma, Pengyi Li, Yan Zheng
Datasets and Benchmarks Track
Reducing Transformer Key-Value Cache Size with Cross-Layer Attention William Brandon, Mayank Mishra, Aniruddha Nrusimha, Rameswar Panda, Jonathan Ragan-Kelley
Main Conference Track
Unveiling User Satisfaction and Creator Productivity Trade-Offs in Recommendation Platforms Fan Yao, Yiming Liao, Jingzhou Liu, Shaoliang Nie, Qifan Wang, Haifeng Xu, Hongning Wang
Main Conference Track
Transcendence: Generative Models Can Outperform The Experts That Train Them Edwin Zhang, Vincent Zhu, Naomi Saphra, Anat Kleiman, Benjamin L. Edelman, Milind Tambe, Sham Kakade, Eran Malach
Main Conference Track
Identifying Causal Effects Under Functional Dependencies Yizuo Chen, Adnan Darwiche
Main Conference Track
Style Adaptation and Uncertainty Estimation for Multi-Source Blended-Target Domain Adaptation Yuwu Lu, Haoyu Huang, Xue Hu
Main Conference Track
Linear Regression using Heterogeneous Data Batches Ayush Jain, Rajat Sen, Weihao Kong, Abhimanyu Das, Alon Orlitsky
Main Conference Track
Adaptive $Q$-Aid for Conditional Supervised Learning in Offline Reinforcement Learning Jeonghye Kim, Suyoung Lee, Woojun Kim, Youngchul Sung
Main Conference Track
You Only Look Around: Learning Illumination-Invariant Feature for Low-light Object Detection Mingbo Hong, Shen Cheng, Haibin Huang, Haoqiang Fan, Shuaicheng Liu
Main Conference Track
Amnesia as a Catalyst for Enhancing Black Box Pixel Attacks in Image Classification and Object Detection Dongsu Song, Daehwa Ko, Jay Hoon Jung
Main Conference Track
End-to-End Ontology Learning with Large Language Models Andy Lo, Albert Q. Jiang, Wenda Li, Mateja Jamnik
Main Conference Track
Bayesian Domain Adaptation with Gaussian Mixture Domain-Indexing Yanfang Ling, Jiyong Li, Lingbo Li, Shangsong Liang
Main Conference Track
Reprogramming Pretrained Target-Specific Diffusion Models for Dual-Target Drug Design Xiangxin Zhou, Jiaqi Guan, Yijia Zhang, Xingang Peng, Liang Wang, Jianzhu Ma
Main Conference Track
Upping the Game: How 2D U-Net Skip Connections Flip 3D Segmentation Xingru Huang, Yihao Guo, Jian Huang, Tianyun Zhang, Hong He, Shaowei Jiang, Yaoqi Sun
Main Conference Track
Cambrian-1: A Fully Open, Vision-Centric Exploration of Multimodal LLMs Shengbang Tong, Ellis Brown, Penghao Wu, Sanghyun Woo, Manoj Middepogu, Sai Charitha Akula, Jihan Yang, Shusheng Yang, Adithya Iyer, Xichen Pan, Austin Wang, Rob Fergus, Yann LeCun, Saining Xie
Main Conference Track
Dual Encoder GAN Inversion for High-Fidelity 3D Head Reconstruction from Single Images Bahri Batuhan Bilecen, Ahmet Berke Gokmen, Aysegul Dundar
Main Conference Track
Base of RoPE Bounds Context Length Mingyu Xu, Xin Men, Bingning Wang, Qingyu Zhang, Hongyu Lin, Yaojie Lu, Xianpei Han, Weipeng Chen
Main Conference Track
How does Architecture Influence the Base Capabilities of Pre-trained Language Models? A Case Study Based on FFN-Wider and MoE Transformers Xin Lu, Yanyan Zhao, Bing Qin, Liangyu Huo, Qing Yang, Dongliang Xu
Main Conference Track
FactorSim: Generative Simulation via Factorized Representation Fan-Yun Sun, S. I. Harini, Angela Yi, Yihan Zhou, Alex Zook, Jonathan Tremblay, Logan Cross, Jiajun Wu, Nick Haber
Main Conference Track
AMAGO-2: Breaking the Multi-Task Barrier in Meta-Reinforcement Learning with Transformers Jake Grigsby, Justin Sasek, Samyak Parajuli, Daniel Adebi, Amy Zhang, Yuke Zhu
Main Conference Track
Alleviate Anchor-Shift: Explore Blind Spots with Cross-View Reconstruction for Incomplete Multi-View Clustering Suyuan Liu, Siwei Wang, Ke Liang, Junpu Zhang, Zhibin Dong, Tianrui Liu, En Zhu, Kunlun He, Xinwang Liu
Main Conference Track
LLMCBench: Benchmarking Large Language Model Compression for Efficient Deployment Ge Yang, Changyi He, Jinyang Guo, Jianyu Wu, Yifu Ding, Aishan Liu, Haotong Qin, Pengliang Ji, Xianglong Liu
Datasets and Benchmarks Track
Transferable Adversarial Attacks on SAM and Its Downstream Models Song Xia, Wenhan Yang, Yi Yu, Xun Lin, Henghui Ding, Lingyu Duan, Xudong Jiang
Main Conference Track
MoGU: A Framework for Enhancing Safety of LLMs While Preserving Their Usability Yanrui Du, Sendong Zhao, Danyang Zhao, Ming Ma, Yuhan Chen, Liangyu Huo, Qing Yang, Dongliang Xu, Bing Qin
Main Conference Track
Causal Imitation for Markov Decision Processes: a Partial Identification Approach Kangrui Ruan, Junzhe Zhang, Xuan Di, Elias Bareinboim
Main Conference Track
MedJourney: Benchmark and Evaluation of Large Language Models over Patient Clinical Journey Xian Wu, Yutian Zhao, Yunyan Zhang, Jiageng Wu, Zhihong Zhu, Yingying Zhang, Yi Ouyang, Ziheng Zhang, Huimin Wang, Zhenxi Lin, Jie Yang, Shuang Zhao, Yefeng Zheng
Datasets and Benchmarks Track
Learning Diffusion Priors from Observations by Expectation Maximization François Rozet, Gérôme Andry, François Lanusse, Gilles Louppe
Main Conference Track
Instruction Embedding: Latent Representations of Instructions Towards Task Identification Yiwei Li, Jiayi Shi, Shaoxiong Feng, Peiwen Yuan, Xinglin Wang, Boyuan Pan, Heda Wang, Yao Hu, Kan Li
Datasets and Benchmarks Track
FastSurvival: Hidden Computational Blessings in Training Cox Proportional Hazards Models Jiachang Liu, Rui Zhang, Cynthia Rudin
Main Conference Track
DuQuant: Distributing Outliers via Dual Transformation Makes Stronger Quantized LLMs Haokun Lin, Haobo Xu, Yichen Wu, Jingzhi Cui, Yingtao Zhang, Linzhan Mou, Linqi Song, Zhenan Sun, Ying Wei
Main Conference Track
DAGER: Exact Gradient Inversion for Large Language Models Ivo Petrov, Dimitar I. Dimitrov, Maximilian Baader, Mark Niklas Müller, Martin Vechev
Main Conference Track
Posture-Informed Muscular Force Learning for Robust Hand Pressure Estimation Kyungjin Seo, Junghoon Seo, Hanseok Jeong, Sangpil Kim, Sang Ho Yoon
Main Conference Track
What matters when building vision-language models? Hugo Laurençon, Léo Tronchon, Matthieu Cord, Victor Sanh
Main Conference Track
Language Grounded Multi-agent Reinforcement Learning with Human-interpretable Communication Huao Li, Hossein Nourkhiz Mahjoub, Behdad Chalaki, Vaishnav Tadiparthi, Kwonjoon Lee, Ehsan Moradi-Pari, Michael Lewis, Katia Sycara
Main Conference Track
Variational Multi-scale Representation for Estimating Uncertainty in 3D Gaussian Splatting Ruiqi Li, Yiu-ming Cheung
Main Conference Track
Exploring DCN-like architecture for fast image generation with arbitrary resolution Shuai Wang, Zexian Li, Tianhui Song, Xubin Li, Tiezheng Ge, Bo Zheng, Limin Wang
Main Conference Track
Replay-and-Forget-Free Graph Class-Incremental Learning: A Task Profiling and Prompting Approach Chaoxi Niu, Guansong Pang, Ling Chen, Bing Liu
Main Conference Track
DeformableTST: Transformer for Time Series Forecasting without Over-reliance on Patching Donghao Luo, Xue Wang
Main Conference Track
An Efficient High-dimensional Gradient Estimator for Stochastic Differential Equations Shengbo Wang, Jose Blanchet, Peter Glynn
Main Conference Track
Mixture of Demonstrations for In-Context Learning Song Wang, Zihan Chen, Chengshuai Shi, Cong Shen, Jundong Li
Main Conference Track
Differentially Private Reinforcement Learning with Self-Play Dan Qiao, Yu-Xiang Wang
Main Conference Track
Contextual Decision-Making with Knapsacks Beyond the Worst Case Zhaohua Chen, Rui Ai, Mingwei Yang, Yuqi Pan, Chang Wang, Xiaotie Deng
Main Conference Track
Transition Constrained Bayesian Optimization via Markov Decision Processes Jose Pablo Folch, Calvin Tsay, Robert M Lee, Behrang Shafei, Weronika Ormaniec, Andreas Krause, Mark van der Wilk, Ruth Misener, Mojmír Mutný
Main Conference Track
Finding NeMo: Localizing Neurons Responsible For Memorization in Diffusion Models Dominik Hintersdorf, Lukas Struppek, Kristian Kersting, Adam Dziedzic, Franziska Boenisch
Main Conference Track
Model-Based Transfer Learning for Contextual Reinforcement Learning Jung-Hoon Cho, Vindula Jayawardana, Sirui Li, Cathy Wu
Main Conference Track
DeTeCtive: Detecting AI-generated Text via Multi-Level Contrastive Learning Xun Guo, Shan Zhang, Yongxin He, Ting Zhang, Wanquan Feng, Haibin Huang, Chongyang Ma
Main Conference Track
Taming Cross-Domain Representation Variance in Federated Prototype Learning with Heterogeneous Data Domains Lei Wang, Jieming Bian, Letian Zhang, Chen Chen, Jie Xu
Main Conference Track
On the Optimality of Dilated Entropy and Lower Bounds for Online Learning in Extensive-Form Games Zhiyuan Fan, Christian Kroer, Gabriele Farina
Main Conference Track
Renovating Names in Open-Vocabulary Segmentation Benchmarks Haiwen Huang, Songyou Peng, Dan Zhang, Andreas Geiger
Main Conference Track
bit2bit: 1-bit quanta video reconstruction via self-supervised photon prediction Yehe Liu, Alexander Krull, Hector Basevi, Aleš Leonardis, Michael Jenkins
Main Conference Track
Trap-MID: Trapdoor-based Defense against Model Inversion Attacks Zhen-Ting Liu, Shang-Tse Chen
Main Conference Track
Hidden in Plain Sight: Evaluating Abstract Shape Recognition in Vision-Language Models Arshia Hemmat, Adam Davies, Tom A. Lamb, Jianhao Yuan, Philip Torr, Ashkan Khakzar, Francesco Pinto
Datasets and Benchmarks Track
IDGen: Item Discrimination Induced Prompt Generation for LLM Evaluation Fan Lin, Shuyi Xie, Yong Dai, Wenlin Yao, Tianjiao Lang, Yu Zhang
Main Conference Track
ProtGO: Function-Guided Protein Modeling for Unified Representation Learning Bozhen Hu, Cheng Tan, Yongjie Xu, Zhangyang Gao, Jun Xia, Lirong Wu, Stan Z. Li
Main Conference Track
A Near-optimal Algorithm for Learning Margin Halfspaces with Massart Noise Ilias Diakonikolas, Nikos Zarifis
Main Conference Track
SM3-Text-to-Query: Synthetic Multi-Model Medical Text-to-Query Benchmark Sithursan Sivasubramaniam, Cedric Osei-Akoto, Yi Zhang, Kurt Stockinger, Jonathan Fürst
Datasets and Benchmarks Track
Speculative Monte-Carlo Tree Search Scott Cheng, Mahmut Taylan Kandemir, Ding-Yong Hong
Main Conference Track
Implicit Zoo: A Large-Scale Dataset of Neural Implicit Functions for 2D Images and 3D Scenes Qi Ma, Danda Pani Paudel, Ender Konukoglu, Luc Van Gool
Datasets and Benchmarks Track
Learning to Price Homogeneous Data Keran Chen, Joon Suk Huh, Kirthevasan Kandasamy
Main Conference Track
Provable and Efficient Dataset Distillation for Kernel Ridge Regression Yilan Chen, Wei Huang, Tsui-Wei Weng
Main Conference Track
Sourcerer: Sample-based Maximum Entropy Source Distribution Estimation Julius Vetter, Guy Moss, Cornelius Schröder, Richard Gao, Jakob H. Macke
Main Conference Track
Improving the Worst-Case Bidirectional Communication Complexity for Nonconvex Distributed Optimization under Function Similarity Kaja Gruntkowska, Alexander Tyurin, Peter Richtárik
Main Conference Track
On Socially Fair Low-Rank Approximation and Column Subset Selection Zhao Song, Ali Vakilian, David P. Woodruff, Samson Zhou
Main Conference Track
Perception of Knowledge Boundary for Large Language Models through Semi-open-ended Question Answering Zhihua Wen, Zhiliang Tian, Zexin Jian, Zhen Huang, Pei Ke, Yifu Gao, Minlie Huang, Dongsheng Li
Main Conference Track
Decomposable Transformer Point Processes Aristeidis Panos
Main Conference Track
Once Read is Enough: Domain-specific Pretraining-free Language Models with Cluster-guided Sparse Experts for Long-tail Domain Knowledge Fang Dong, Mengyi Chen, Jixian Zhou, Yubin Shi, Yixuan Chen, Mingzhi Dong, Yujiang Wang, Dongsheng Li, Xiaochen Yang, Rui Zhu, Robert Dick, Qin Lv, Fan Yang, Tun Lu, Ning Gu, Li Shang
Main Conference Track
Compressing Large Language Models using Low Rank and Low Precision Decomposition Rajarshi Saha, Naomi Sagan, Varun Srivastava, Andrea J. Goldsmith, Mert Pilanci
Main Conference Track
Intervention and Conditioning in Causal Bayesian Networks Sainyam Galhotra, Joseph Y. Halpern
Main Conference Track
QUEST: Quality-Aware Metropolis-Hastings Sampling for Machine Translation Gonçalo R. A. Faria, Sweta Agrawal, António Farinhas, Ricardo Rei, José G. C. de Souza, André F.T. Martins
Main Conference Track
Molecule Design by Latent Prompt Transformer Deqian Kong, Yuhao Huang, Jianwen Xie, Edouardo Honig, Ming Xu, Shuanghong Xue, Pei Lin, Sanping Zhou, Sheng Zhong, Nanning Zheng, Ying Nian Wu
Main Conference Track
MMBench-Video: A Long-Form Multi-Shot Benchmark for Holistic Video Understanding Xinyu Fang, Kangrui Mao, Haodong Duan, Xiangyu Zhao, Yining Li, Dahua Lin, Kai Chen
Datasets and Benchmarks Track
Improving Adversarial Robust Fairness via Anti-Bias Soft Label Distillation Shiji Zhao, Ranjie Duan, Xizhe Wang, Xingxing Wei
Main Conference Track
Spectral Learning of Shared Dynamics Between Generalized-Linear Processes Lucine L. Oganesian, Omid G. Sani, Maryam M. Shanechi
Main Conference Track
GaussianCut: Interactive segmentation via graph cut for 3D Gaussian Splatting Umangi Jain, Ashkan Mirzaei, Igor Gilitschenski
Main Conference Track
Class Distribution Shifts in Zero-Shot Learning: Learning Robust Representations Yuli Slavutsky, Yuval Benjamini
Main Conference Track
Benchmarking Out-of-Distribution Generalization Capabilities of DNN-based Encoding Models for the Ventral Visual Cortex. Spandan Madan, Will Xiao, Mingran Cao, Hanspeter Pfister, Margaret Livingstone, Gabriel Kreiman
Datasets and Benchmarks Track
Improved Guarantees for Fully Dynamic $k$-Center Clustering with Outliers in General Metric Spaces Leyla Biabani, Annika Hennes, Denise La Gordt Dillie, Morteza Monemizadeh, Melanie Schmidt
Main Conference Track
Constrained Synthesis with Projected Diffusion Models Jacob K. Christopher, Stephen Baek, Ferdinando Fioretto
Main Conference Track
EHRCon: Dataset for Checking Consistency between Unstructured Notes and Structured Tables in Electronic Health Records Yeonsu Kwon, Jiho Kim, Gyubok Lee, Seongsu Bae, Daeun Kyung, Wonchul Cha, Tom Pollard, Alistair Johnson, Edward Choi
Datasets and Benchmarks Track
Revisiting motion information for RGB-Event tracking with MOT philosophy Tianlu Zhang, Kurt Debattista, Qiang Zhang, Guiguang Ding, Jungong Han
Main Conference Track
PrivacyLens: Evaluating Privacy Norm Awareness of Language Models in Action Yijia Shao, Tianshi Li, Weiyan Shi, Yanchen Liu, Diyi Yang
Datasets and Benchmarks Track
Revisiting, Benchmarking and Understanding Unsupervised Graph Domain Adaptation Meihan Liu, Zhen Zhang, Jiachen Tang, Jiajun Bu, Bingsheng He, Sheng Zhou
Datasets and Benchmarks Track
Thompson Sampling For Combinatorial Bandits: Polynomial Regret and Mismatched Sampling Paradox Raymond Zhang, Richard Combes
Main Conference Track
CryoBench: Diverse and challenging datasets for the heterogeneity problem in cryo-EM Minkyu Jeon, Rishwanth Raghu, Miro Astore, Geoffrey Woollard, Ryan Feathers, Alkin Kaz, Sonya M. Hanson, Pilar Cossio, Ellen D. Zhong
Datasets and Benchmarks Track
What Makes Partial-Label Learning Algorithms Effective? Jiaqi Lv, Yangfan Liu, Shiyu Xia, Ning Xu, Miao Xu, Gang Niu, Min-Ling Zhang, Masashi Sugiyama, Xin Geng
Main Conference Track
DiffHammer: Rethinking the Robustness of Diffusion-Based Adversarial Purification Kaibo Wang, Xiaowen Fu, Yuxuan Han, Yang Xiang
Main Conference Track
Multidimensional Fractional Programming for Normalized Cuts Yannan Chen, Beichen Huang, Licheng Zhao, Kaiming Shen
Main Conference Track
DiffusionBlend: Learning 3D Image Prior through Position-aware Diffusion Score Blending for 3D Computed Tomography Reconstruction Bowen Song, Jason Hu, Zhaoxu Luo, Jeffrey A. Fessler, Liyue Shen
Main Conference Track
Adversarial Schrödinger Bridge Matching Nikita Gushchin, Daniil Selikhanovych, Sergei Kholkin, Evgeny Burnaev, Alexander Korotin
Main Conference Track
Infusing Self-Consistency into Density Functional Theory Hamiltonian Prediction via Deep Equilibrium Models Zun Wang, Chang Liu, Nianlong Zou, He Zhang, Xinran Wei, Lin Huang, Lijun Wu, Bin Shao
Main Conference Track
TransVIP: Speech to Speech Translation System with Voice and Isochrony Preservation Chenyang Le, Yao Qian, Dongmei Wang, Long Zhou, Shujie Liu, Xiaofei Wang, Midia Yousefi, Yanmin Qian, Jinyu Li, Sheng Zhao, Michael Zeng
Main Conference Track
Towards Visual Text Design Transfer Across Languages Yejin Choi, Jiwan Chung, Sumin Shim, Giyeong Oh, Youngjae Yu
Datasets and Benchmarks Track
Doubly Hierarchical Geometric Representations for Strand-based Human Hairstyle Generation Yunlu Chen, Francisco Vicente Carrasco, Christian Häne, Giljoo Nam, Jean-Charles Bazin, Fernando De la Torre
Main Conference Track
Untrained Neural Nets for Snapshot Compressive Imaging: Theory and Algorithms Mengyu Zhao, Xi Chen, Xin Yuan, Shirin Jalali
Main Conference Track
Enhancing Feature Diversity Boosts Channel-Adaptive Vision Transformers Chau Pham, Bryan A. Plummer
Main Conference Track
Rethinking the Evaluation of Out-of-Distribution Detection: A Sorites Paradox Xingming Long, Jie Zhang, Shiguang Shan, Xilin Chen
Datasets and Benchmarks Track
FIFO-Diffusion: Generating Infinite Videos from Text without Training Jihwan Kim, Junoh Kang, Jinyoung Choi, Bohyung Han
Main Conference Track
A Theoretical Understanding of Self-Correction through In-context Alignment Yifei Wang, Yuyang Wu, Zeming Wei, Stefanie Jegelka, Yisen Wang
Main Conference Track
ActFusion: a Unified Diffusion Model for Action Segmentation and Anticipation Dayoung Gong, Suha Kwak, Minsu Cho
Main Conference Track
Advancing Video Anomaly Detection: A Concise Review and a New Dataset Liyun Zhu, Lei Wang, Arjun Raj, Tom Gedeon, Chen Chen
Datasets and Benchmarks Track
DeepITE: Designing Variational Graph Autoencoders for Intervention Target Estimation Hongyuan Tao, Hang Yu, Jianguo Li
Main Conference Track
Octopus: A Multi-modal LLM with Parallel Recognition and Sequential Understanding Chuyang Zhao, Yuxin Song, Junru Chen, Kang Rong, Haocheng Feng, Gang Zhang, Shufan Ji, Jingdong Wang, Errui Ding, Yifan Sun
Main Conference Track
Constant Acceleration Flow Dogyun Park, Sojin Lee, Sihyeon Kim, Taehoon Lee, Youngjoon Hong, Hyunwoo J. Kim
Main Conference Track
Instance-Optimal Private Density Estimation in the Wasserstein Distance Vitaly Feldman, Audra McMillan, Satchit Sivakumar, Kunal Talwar
Main Conference Track
Optimal Design for Human Preference Elicitation Subhojyoti Mukherjee, Anusha Lalitha, Kousha Kalantari, Aniket Deshmukh, Ge Liu, Yifei Ma, Branislav Kveton
Main Conference Track
Low Precision Local Training is Enough for Federated Learning Zhiwei Li, Yiqiu Li, Binbin Lin, Zhongming Jin, Weizhong Zhang
Main Conference Track
Immiscible Diffusion: Accelerating Diffusion Training with Noise Assignment Yiheng Li, Heyang Jiang, Akio Kodaira, Masayoshi Tomizuka, Kurt Keutzer, Chenfeng Xu
Main Conference Track
Continuous Product Graph Neural Networks Aref Einizade, Fragkiskos D. Malliaros, Jhony H. Giraldo
Main Conference Track
Reinforcement Learning with Euclidean Data Augmentation for State-Based Continuous Control Jinzhu Luo, Dingyang Chen, Qi Zhang
Main Conference Track
Mind's Eye of LLMs: Visualization-of-Thought Elicits Spatial Reasoning in Large Language Models Wenshan Wu, Shaoguang Mao, Yadong Zhang, Yan Xia, Li Dong, Lei Cui, Furu Wei
Main Conference Track
D-CPT Law: Domain-specific Continual Pre-Training Scaling Law for Large Language Models Haoran Que, Jiaheng Liu, Ge Zhang, Chenchen Zhang, Xingwei Qu, Yinghao Ma, Feiyu Duan, Zhiqi Bai, Jiakai Wang, Yuanxing Zhang, Xu Tan, Jie Fu, Jiamang Wang, Lin Qu, Wenbo Su, Bo Zheng
Main Conference Track
CYCLO: Cyclic Graph Transformer Approach to Multi-Object Relationship Modeling in Aerial Videos Trong-Thuan Nguyen, Pha Nguyen, Xin Li, Jackson Cothren, Alper Yilmaz, Khoa Luu
Main Conference Track
Prior-itizing Privacy: A Bayesian Approach to Setting the Privacy Budget in Differential Privacy Zeki Kazan, Jerome P. Reiter
Main Conference Track
ENAT: Rethinking Spatial-temporal Interactions in Token-based Image Synthesis Zanlin Ni, Yulin Wang, Renping Zhou, Yizeng Han, Jiayi Guo, Zhiyuan Liu, Yuan Yao, Gao Huang
Main Conference Track
Binary Search with Distributional Predictions Michael Dinitz, Sungjin Im, Thomas Lavastida, Benjamin Moseley, Aidin Niaparast, Sergei Vassilvitskii
Main Conference Track
Towards a Theoretical Understanding of the 'Reversal Curse' via Training Dynamics Hanlin Zhu, Baihe Huang, Shaolun Zhang, Michael Jordan, Jiantao Jiao, Yuandong Tian, Stuart Russell
Main Conference Track
GRANOLA: Adaptive Normalization for Graph Neural Networks Moshe Eliasof, Beatrice Bevilacqua, Carola-Bibiane Schönlieb, Haggai Maron
Main Conference Track
The Intelligible and Effective Graph Neural Additive Network Maya Bechler-Speicher, Amir Globerson, Ran Gilad-Bachrach
Main Conference Track
DeTrack: In-model Latent Denoising Learning for Visual Object Tracking Xinyu Zhou, Jinglun Li, Lingyi Hong, Kaixun Jiang, Pinxue Guo, Weifeng Ge, Wenqiang Zhang
Main Conference Track
AMBROSIA: A Benchmark for Parsing Ambiguous Questions into Database Queries Irina Saparina, Mirella Lapata
Datasets and Benchmarks Track
MAmmoTH2: Scaling Instructions from the Web Xiang Yue, Tuney Zheng, Ge Zhang, Wenhu Chen
Main Conference Track
DACO: Towards Application-Driven and Comprehensive Data Analysis via Code Generation Xueqing Wu, Rui Zheng, Jingzhen Sha, Te-Lin Wu, Hanyu Zhou, Mohan Tang, Kai-Wei Chang, Nanyun Peng, Haoran Huang
Datasets and Benchmarks Track
A Textbook Remedy for Domain Shifts: Knowledge Priors for Medical Image Analysis Yue Yang, Mona Gandhi, Yufei Wang, Yifan Wu, Michael S. Yao, Chris Callison-Burch, James C. Gee, Mark Yatskar
Main Conference Track
Imitating Language via Scalable Inverse Reinforcement Learning Markus Wulfmeier, Michael Bloesch, Nino Vieillard, Arun Ahuja, Jörg Bornschein, Sandy Huang, Artem Sokolov, Matt Barnes, Guillaume Desjardins, Alex Bewley, Sarah Maria Elisabeth Bechtle, Jost Tobias Springenberg, Nikola Momchev, Olivier Bachem, Matthieu Geist, Martin Riedmiller
Main Conference Track
Gradient Guidance for Diffusion Models: An Optimization Perspective Yingqing Guo, Hui Yuan, Yukang Yang, Minshuo Chen, Mengdi Wang
Main Conference Track
Private Edge Density Estimation for Random Graphs: Optimal, Efficient and Robust Hongjie Chen, Jingqiu Ding, Yiding Hua, David Steurer
Main Conference Track
Stochastic Newton Proximal Extragradient Method Ruichen Jiang, Michał Dereziński, Aryan Mokhtari
Main Conference Track
Aligner: Efficient Alignment by Learning to Correct Jiaming Ji, Boyuan Chen, Hantao Lou, Donghai Hong, Borong Zhang, Xuehai Pan, Juntao Dai, Tianyi Qiu, Yaodong Yang
Main Conference Track
On provable privacy vulnerabilities of graph representations Ruofan Wu, Guanhua Fang, Mingyang Zhang, Qiying Pan, Tengfei Liu, Weiqiang Wang
Main Conference Track
Memory-Efficient Gradient Unrolling for Large-Scale Bi-level Optimization Qianli Shen, Yezhen Wang, Zhouhao Yang, Xiang Li, Haonan Wang, Yang Zhang, Jonathan Scarlett, Zhanxing Zhu, Kenji Kawaguchi
Main Conference Track
On the Adversarial Robustness of Benjamini Hochberg Louis L Chen, Roberto Szechtman, Matan Seri
Main Conference Track
The Space Complexity of Approximating Logistic Loss Gregory Dexter, Petros Drineas, Rajiv Khanna
Main Conference Track
Rethinking 3D Convolution in $\ell_p$-norm Space Li Zhang, Yan Zhong, Jianan Wang, Zhe Min, Rujing Wang, Liu Liu
Main Conference Track
Near-Optimality of Contrastive Divergence Algorithms Pierre Glaser, Kevin Han Huang, Arthur Gretton
Main Conference Track
A Generative Model of Symmetry Transformations James Urquhart Allingham, Bruno Kacper Mlodozeniec, Shreyas Padhy, Javier Antorán, David Krueger, Richard E. Turner, Eric Nalisnick, José Miguel Hernández-Lobato
Main Conference Track
Lips Are Lying: Spotting the Temporal Inconsistency between Audio and Visual in Lip-Syncing DeepFakes Weifeng Liu, Tianyi She, Jiawei Liu, Boheng Li, Dongyu Yao, Ziyou Liang, Run Wang
Main Conference Track
Graph Learning for Numeric Planning Dillon Z. Chen, Sylvie Thiébaux
Main Conference Track
ART: Automatic Red-teaming for Text-to-Image Models to Protect Benign Users Guanlin Li, Kangjie Chen, Shudong Zhang, Jie Zhang, Tianwei Zhang
Main Conference Track
Learning Structured Representations with Hyperbolic Embeddings Aditya Sinha, Siqi Zeng, Makoto Yamada, Han Zhao
Main Conference Track
Scaling Retrieval-Based Language Models with a Trillion-Token Datastore Rulin Shao, Jacqueline He, Akari Asai, Weijia Shi, Tim Dettmers, Sewon Min, Luke Zettlemoyer, Pang Wei Koh
Main Conference Track
How JEPA Avoids Noisy Features: The Implicit Bias of Deep Linear Self Distillation Networks Etai Littwin, Omid Saremi, Madhu Advani, Vimal Thilak, Preetum Nakkiran, Chen Huang, Joshua Susskind
Main Conference Track
How Sparse Can We Prune A Deep Network: A Fundamental Limit Perspective Qiaozhe Zhang, Ruijie Zhang, Jun Sun, Yingzhuang Liu
Main Conference Track
emg2qwerty: A Large Dataset with Baselines for Touch Typing using Surface Electromyography Viswanath Sivakumar, Jeffrey Seely, Alan Du, Sean R Bittner, Adam Berenzweig, Anuoluwapo Bolarinwa, Alexandre Gramfort, Michael I Mandel
Datasets and Benchmarks Track
NN4SysBench: Characterizing Neural Network Verification for Computer Systems Shuyi Lin, Haoyu He, Tianhao Wei, Kaidi Xu, Huan Zhang, Gagandeep Singh, Changliu Liu, Cheng Tan
Datasets and Benchmarks Track
DTGB: A Comprehensive Benchmark for Dynamic Text-Attributed Graphs Jiasheng Zhang, Jialin Chen, Menglin Yang, Aosong Feng, Shuang Liang, Jie Shao, Rex Ying
Datasets and Benchmarks Track
Multilingual Diversity Improves Vision-Language Representations Thao Nguyen, Matthew Wallingford, Sebastin Santy, Wei-Chiu Ma, Sewoong Oh, Ludwig Schmidt, Pang Wei Koh, Ranjay Krishna
Main Conference Track
Post-Hoc Reversal: Are We Selecting Models Prematurely? Rishabh Ranjan, Saurabh Garg, Mrigank Raman, Carlos Guestrin, Zachary Lipton
Main Conference Track
Universal Exact Compression of Differentially Private Mechanisms Yanxiao Liu, Wei-Ning Chen, Ayfer Özgür, Cheuk Ting Li
Main Conference Track
DisenGCD: A Meta Multigraph-assisted Disentangled Graph Learning Framework for Cognitive Diagnosis Shangshang Yang, Mingyang Chen, Ziwen Wang, Xiaoshan Yu, Panpan Zhang, Haiping Ma, Xingyi Zhang
Main Conference Track
Vista: A Generalizable Driving World Model with High Fidelity and Versatile Controllability Shenyuan Gao, Jiazhi Yang, Li Chen, Kashyap Chitta, Yihang Qiu, Andreas Geiger, Jun Zhang, Hongyang Li
Main Conference Track
Your contrastive learning problem is secretly a distribution alignment problem Zihao Chen, Chi-Heng Lin, Ran Liu, Jingyun Xiao, Eva L. Dyer
Main Conference Track
Synatra: Turning Indirect Knowledge into Direct Demonstrations for Digital Agents at Scale Tianyue Ou, Frank F. Xu, Aman Madaan, Jiarui Liu, Robert Lo, Abishek Sridhar, Sudipta Sengupta, Dan Roth, Graham Neubig, Shuyan Zhou
Main Conference Track
BeanCounter: A low-toxicity, large-scale, and open dataset of business-oriented text Siyan Wang, Bradford Levy
Datasets and Benchmarks Track
Efficient Contextual LLM Cascades through Budget-Constrained Policy Learning Xuechen Zhang, Zijian Huang, Ege Onur Taga, Carlee Joe-Wong, Samet Oymak, Jiasi Chen
Main Conference Track
Noisy Dual Mirror Descent: A Near Optimal Algorithm for Jointly-DP Convex Resource Allocation Du Chen, Geoffrey A. Chua
Main Conference Track
Markov Equivalence and Consistency in Differentiable Structure Learning Chang Deng, Kevin Bello, Pradeep Ravikumar, Bryon Aragam
Main Conference Track
Multi-scale Consistency for Robust 3D Registration via Hierarchical Sinkhorn Tree Chengwei Ren, Yifan Feng, Weixiang Zhang, Xiao-Ping Zhang, Yue Gao
Main Conference Track
A Kernel Perspective on Distillation-based Collaborative Learning Sejun Park, Kihun Hong, Ganguk Hwang
Main Conference Track
Extending Multi-modal Contrastive Representations Ziang Zhang, Zehan Wang, Luping Liu, Rongjie Huang, Xize Cheng, Zhenhui Ye, Wang Lin, Huadai Liu, Haifeng Huang, Yang Zhao, Tao Jin, Siqi Zheng, Zhou Zhao
Main Conference Track
Improved Analysis for Bandit Learning in Matching Markets Fang Kong, Zilong Wang, Shuai Li
Main Conference Track
FEEL-SNN: Robust Spiking Neural Networks with Frequency Encoding and Evolutionary Leak Factor Mengting Xu, De Ma, HuaJin Tang, Qian Zheng, Gang Pan
Main Conference Track
COSMIC: Compress Satellite Image Efficiently via Diffusion Compensation Ziyuan Zhang, Han Qiu, Maosen Zhang, Jun Liu, Bin Chen, Tianwei Zhang, Hewu Li
Main Conference Track
Variance estimation in compound decision theory under boundedness Subhodh Kotekal
Main Conference Track
Mitigating Object Hallucination via Concentric Causal Attention Yun Xing, Yiheng Li, Ivan Laptev, Shijian Lu
Main Conference Track
Physics-Constrained Comprehensive Optical Neural Networks Yanbing Liu, Jianwei Qin, Yan Liu, Xi Yue, Xun Liu, Guoqing Wang, Tianyu Li, Fangwei Ye, Wei Li
Main Conference Track
Recovering Complete Actions for Cross-dataset Skeleton Action Recognition Hanchao Liu, Yujiang Li, Tai-Jiang Mu, Shi-Min Hu
Main Conference Track
Speculative Decoding with CTC-based Draft Model for LLM Inference Acceleration Zhuofan Wen, Shangtong Gui, Yang Feng
Main Conference Track
Second-order forward-mode optimization of recurrent neural networks for neuroscience Youjing Yu, Rui Xia, Qingxi Ma, Máté Lengyel, Guillaume Hennequin
Main Conference Track
On the Effects of Data Scale on UI Control Agents Wei Li, William Bishop, Alice Li, Chris Rawles, Folawiyo Campbell-Ajala, Divya Tyamagundlu, Oriana Riva
Datasets and Benchmarks Track
Personalized Federated Learning with Mixture of Models for Adaptive Prediction and Model Fine-Tuning Pouya M. Ghari, Yanning Shen
Main Conference Track
OccFusion: Rendering Occluded Humans with Generative Diffusion Priors Adam Sun, Tiange Xiang, Scott Delp, Li Fei-Fei, Ehsan Adeli
Main Conference Track
QuanTA: Efficient High-Rank Fine-Tuning of LLMs with Quantum-Informed Tensor Adaptation Zhuo Chen, Rumen Dangovski, Charlotte Loh, Owen Dugan, Di Luo, Marin Soljačić
Main Conference Track
Abstracted Shapes as Tokens - A Generalizable and Interpretable Model for Time-series Classification Yunshi Wen, Tengfei Ma, Tsui-Wei Weng, Lam M. Nguyen, Anak Agung Julius
Main Conference Track
Intrinsic Self-Supervision for Data Quality Audits Fabian Gröger, Simone Lionetti, Philippe Gottfrois, Alvaro Gonzalez-Jimenez, Ludovic Amruthalingam, Labelling Consortium, Matthew Groh, Alexander A. Navarini, Marc Pouly
Datasets and Benchmarks Track
Unraveling the Gradient Descent Dynamics of Transformers Bingqing Song, Boran Han, Shuai Zhang, Jie Ding, Mingyi Hong
Main Conference Track
Optimized Feature Generation for Tabular Data via LLMs with Decision Tree Reasoning Jaehyun Nam, Kyuyoung Kim, Seunghyuk Oh, Jihoon Tack, Jaehyung Kim, Jinwoo Shin
Main Conference Track
Infinite-Dimensional Feature Interaction Chenhui Xu, Fuxun Yu, Maoliang Li, Zihao Zheng, Zirui Xu, Jinjun Xiong, Xiang Chen
Main Conference Track
QGym: Scalable Simulation and Benchmarking of Queuing Network Controllers Haozhe Chen, Ang Li, Ethan Che, Tianyi Peng, Jing Dong, Hongseok Namkoong
Datasets and Benchmarks Track
ConStat: Performance-Based Contamination Detection in Large Language Models Jasper Dekoninck, Mark Niklas Müller, Martin Vechev
Main Conference Track
Spectral-Risk Safe Reinforcement Learning with Convergence Guarantees Dohyeong Kim, Taehyun Cho, Seungyub Han, Hojun Chung, Kyungjae Lee, Songhwai Oh
Main Conference Track
GeSS: Benchmarking Geometric Deep Learning under Scientific Applications with Distribution Shifts Deyu Zou, Shikun Liu, Siqi Miao, Victor Fung, Shiyu Chang, Pan Li
Datasets and Benchmarks Track
One-Step Effective Diffusion Network for Real-World Image Super-Resolution Rongyuan Wu, Lingchen Sun, Zhiyuan Ma, Lei Zhang
Main Conference Track
MECD: Unlocking Multi-Event Causal Discovery in Video Reasoning Tieyuan Chen, Huabin Liu, Tianyao He, Yihang Chen, Chaofan Gan, Xiao Ma, Cheng Zhong, Yang Zhang, Yingxue Wang, Hui Lin, Weiyao Lin
Main Conference Track
DiP-GO: A Diffusion Pruner via Few-step Gradient Optimization Haowei Zhu, Dehua Tang, Ji Liu, Mingjie Lu, Jintu Zheng, Jinzhang Peng, Dong Li, Yu Wang, Fan Jiang, Lu Tian, Spandan Tiwari, Ashish Sirasao, Junhai Yong, Bin Wang, Emad Barsoum
Main Conference Track
Reasoning Multi-Agent Behavioral Topology for Interactive Autonomous Driving Haochen Liu, Li Chen, Yu Qiao, Chen Lv, Hongyang Li
Main Conference Track
In-Context Learning with Transformers: Softmax Attention Adapts to Function Lipschitzness Liam Collins, Advait Parulekar, Aryan Mokhtari, Sujay Sanghavi, Sanjay Shakkottai
Main Conference Track
Rethinking the Membrane Dynamics and Optimization Objectives of Spiking Neural Networks Hangchi Shen, Qian Zheng, Huamin Wang, Gang Pan
Main Conference Track
When Is Inductive Inference Possible? Zhou Lu
Main Conference Track
Collaborative Refining for Learning from Inaccurate Labels Bin Han, Yi-Xuan Sun, Ya-Lin Zhang, Libang Zhang, Haoran Hu, Longfei Li, Jun Zhou, Guo Ye, Huimei He
Main Conference Track
CausalChaos! Dataset for Comprehensive Causal Action Question Answering Over Longer Causal Chains Grounded in Dynamic Visual Scenes Paritosh Parmar, Eric Peh, Ruirui Chen, Ting En Lam, Yuhan Chen, Elston Tan, Basura Fernando
Datasets and Benchmarks Track
Improved Regret of Linear Ensemble Sampling Harin Lee, Min-hwan Oh
Main Conference Track
Learning Equilibria in Adversarial Team Markov Games: A Nonconvex-Hidden-Concave Min-Max Optimization Problem Fivos Kalogiannis, Jingming Yan, Ioannis Panageas
Main Conference Track
BEACON: Benchmark for Comprehensive RNA Tasks and Language Models Yuchen Ren, Zhiyuan Chen, Lifeng Qiao, Hongtai Jing, Yuchen Cai, Sheng Xu, Peng Ye, Xinzhu Ma, Siqi Sun, Hongliang Yan, Dong Yuan, Wanli Ouyang, Xihui Liu
Datasets and Benchmarks Track
InterpBench: Semi-Synthetic Transformers for Evaluating Mechanistic Interpretability Techniques Rohan Gupta, Iván Arcuschin, Thomas Kwa, Adrià Garriga-Alonso
Datasets and Benchmarks Track
Understanding Model Selection for Learning in Strategic Environments Tinashe Handina, Eric Mazumdar
Main Conference Track
CALVIN: Improved Contextual Video Captioning via Instruction Tuning Gowthami Somepalli, Arkabandhu Chowdhury, Ronen Basri, Jonas Geiping, Tom Goldstein, David Jacobs
Main Conference Track
Homology Consistency Constrained Efficient Tuning for Vision-Language Models Huatian Zhang, Lei Zhang, Yongdong Zhang, Zhendong Mao
Main Conference Track
Designing Cell-Type-Specific Promoter Sequences Using Conservative Model-Based Optimization Aniketh Janardhan Reddy, Xinyang Geng, Michael H. Herschl, Sathvik Kolli, Aviral Kumar, Patrick D. Hsu, Sergey Levine, Nilah M. Ioannidis
Main Conference Track
Matrix Denoising with Doubly Heteroscedastic Noise: Fundamental Limits and Optimal Spectral Methods Yihan Zhang, Marco Mondelli
Main Conference Track
Batched Energy-Entropy acquisition for Bayesian Optimization Felix Teufel, Carsten Stahlhut, Jesper Ferkinghoff-Borg
Main Conference Track
SLowcalSGD : Slow Query Points Improve Local-SGD for Stochastic Convex Optimization Tehila Dahan, Kfir Y. Levy
Main Conference Track
Boosting Weakly Supervised Referring Image Segmentation via Progressive Comprehension Zaiquan Yang, Yuhao Liu, Jiaying Lin, Gerhard Hancke, Rynson W.H. Lau
Main Conference Track
When Your AIs Deceive You: Challenges of Partial Observability in Reinforcement Learning from Human Feedback Leon Lang, Davis Foote, Stuart Russell, Anca Dragan, Erik Jenner, Scott Emmons
Main Conference Track
Identifiable Object-Centric Representation Learning via Probabilistic Slot Attention Avinash Kori, Francesco Locatello, Ainkaran Santhirasekaram, Francesca Toni, Ben Glocker, Fabio De Sousa Ribeiro
Main Conference Track
Piecewise deterministic generative models Andrea Bertazzi, Dario Shariatian, Umut Simsekli, Eric Moulines, Alain Durmus
Main Conference Track
Contrastive losses as generalized models of global epistasis David H. Brookes, Jakub Otwinowski, Sam Sinai
Main Conference Track
What Makes and Breaks Safety Fine-tuning? A Mechanistic Study Samyak Jain, Ekdeep Singh Lubana, Kemal Oksuz, Tom Joy, Philip H.S. Torr, Amartya Sanyal, Puneet K. Dokania
Main Conference Track
Learning to Handle Complex Constraints for Vehicle Routing Problems Jieyi Bi, Yining Ma, Jianan Zhou, Wen Song, Zhiguang Cao, Yaoxin Wu, Jie Zhang
Main Conference Track
Normalization Layer Per-Example Gradients are Sufficient to Predict Gradient Noise Scale in Transformers Gavia Gray, Aman Tiwari, Shane Bergsma, Joel Hestness
Main Conference Track
Unifying Homophily and Heterophily for Spectral Graph Neural Networks via Triple Filter Ensembles Rui Duan, Mingjian Guang, Junli Wang, Chungang Yan, Hongda Qi, Wenkang Su, Can Tian, Haoran Yang
Main Conference Track
Offline Reinforcement Learning with OOD State Correction and OOD Action Suppression Yixiu Mao, Qi Wang, Chen Chen, Yun Qu, Xiangyang Ji
Main Conference Track
Dynamic Conditional Optimal Transport through Simulation-Free Flows Gavin Kerrigan, Giosue Migliorini, Padhraic Smyth
Main Conference Track
Global Lyapunov functions: a long-standing open problem in mathematics, with symbolic transformers Alberto Alfarano, François Charton, Amaury Hayat
Main Conference Track
Neural Collapse Inspired Feature Alignment for Out-of-Distribution Generalization Zhikang Chen, Min Zhang, Sen Cui, Haoxuan Li, Gang Niu, Mingming Gong, Changshui Zhang, Kun Zhang
Main Conference Track
SSA-Seg: Semantic and Spatial Adaptive Pixel-level Classifier for Semantic Segmentation Xiaowen Ma, Zhenliang Ni, Xinghao Chen
Main Conference Track
Identifying Spatio-Temporal Drivers of Extreme Events Mohamad Hakam Shams Eddin, Juergen Gall
Main Conference Track
LiT: Unifying LiDAR "Languages" with LiDAR Translator Yixing Lao, Tao Tang, Xiaoyang Wu, Peng Chen, Kaicheng Yu, Hengshuang Zhao
Main Conference Track
Accelerating Matroid Optimization through Fast Imprecise Oracles Franziska Eberle, Felix Hommelsheim, Alexander Lindermayr, Zhenwei Liu, Nicole Megow, Jens Schlöter
Main Conference Track
MonkeySee: Space-time-resolved reconstructions of natural images from macaque multi-unit activity Lynn Le, Paolo Papale, Katja Seeliger, Antonio Lozano, Thirza Dado, Feng Wang, Pieter Roelfsema, Marcel van Gerven, Yağmur Güçlütürk, Umut Güçlü
Main Conference Track
Constrained Diffusion with Trust Sampling William Huang, Yifeng Jiang, Tom Van Wouwe, C. Karen Liu
Main Conference Track
Parameter Symmetry and Noise Equilibrium of Stochastic Gradient Descent Liu Ziyin, Mingze Wang, Hongchao Li, Lei Wu
Main Conference Track
Light Unbalanced Optimal Transport Milena Gazdieva, Arip Asadulaev, Evgeny Burnaev, Alexander Korotin
Main Conference Track
NeuroGauss4D-PCI: 4D Neural Fields and Gaussian Deformation Fields for Point Cloud Interpolation Chaokang Jiang, Dalong Du, Jiuming Liu, Siting Zhu, Zhenqiang Liu, Zhuang Ma, Zhujin Liang, Jie Zhou
Main Conference Track
Unsupervised Modality Adaptation with Text-to-Image Diffusion Models for Semantic Segmentation Ruihao Xia, Yu Liang, Peng-Tao Jiang, Hao Zhang, Bo Li, Yang Tang, Pan Zhou
Main Conference Track
Sequential Signal Mixing Aggregation for Message Passing Graph Neural Networks Mitchell Keren Taraday, Almog David, Chaim Baskin
Main Conference Track
Learning from Highly Sparse Spatio-temporal Data Leyan Deng, Defu Lian, Chenwang Wu, Enhong Chen
Main Conference Track
Learning Frequency-Adapted Vision Foundation Model for Domain Generalized Semantic Segmentation Qi Bi, Jingjun Yi, Hao Zheng, Haolan Zhan, Yawen Huang, Wei Ji, Yuexiang Li, Yefeng Zheng
Main Conference Track
Multi-Head Mixture-of-Experts Xun Wu, Shaohan Huang, Wenhui Wang, Shuming Ma, Li Dong, Furu Wei
Main Conference Track
Perceiving Longer Sequences With Bi-Directional Cross-Attention Transformers Markus Hiller, Krista A. Ehinger, Tom Drummond
Main Conference Track
Adaptive and Optimal Second-order Optimistic Methods for Minimax Optimization Ruichen Jiang, Ali Kavis, Qiujiang Jin, Sujay Sanghavi, Aryan Mokhtari
Main Conference Track
Stable Minima Cannot Overfit in Univariate ReLU Networks: Generalization by Large Step Sizes Dan Qiao, Kaiqi Zhang, Esha Singh, Daniel Soudry, Yu-Xiang Wang
Main Conference Track
OxonFair: A Flexible Toolkit for Algorithmic Fairness Eoin Delaney, Zihao Fu, Sandra Wachter, Brent Mittelstadt, Chris Russell
Main Conference Track
Derandomizing Multi-Distribution Learning Kasper Green Larsen, Omar Montasser, Nikita Zhivotovskiy
Main Conference Track
Optimal and Approximate Adaptive Stochastic Quantization Ran Ben Basat, Yaniv Ben-Itzhak, Michael Mitzenmacher, Shay Vargaftik
Main Conference Track
Towards Next-Level Post-Training Quantization of Hyper-Scale Transformers Junhan Kim, Chungman Lee, Eulrang Cho, Kyungphil Park, Ho-young Kim, Joonyoung Kim, Yongkweon Jeon
Main Conference Track
GMAI-MMBench: A Comprehensive Multimodal Evaluation Benchmark Towards General Medical AI Pengcheng Chen, Jin Ye, Guoan Wang, Yanjun Li, Zhongying Deng, Wei Li, Tianbin Li, Haodong Duan, Ziyan Huang, Yanzhou Su, Benyou Wang, Shaoting Zhang, Bin Fu, Jianfei Cai, Bohan Zhuang, Eric J Seibel, Yu Qiao, Junjun He
Datasets and Benchmarks Track
AuctionNet: A Novel Benchmark for Decision-Making in Large-Scale Games Kefan Su, Yusen Huo, Zhilin Zhang, Shuai Dou, Chuan Yu, Jian Xu, Zongqing Lu, Bo Zheng
Datasets and Benchmarks Track
Deterministic Policies for Constrained Reinforcement Learning in Polynomial Time Jeremy McMahan
Main Conference Track
Improving Subgroup Robustness via Data Selection Saachi Jain, Kimia Hamidieh, Kristian Georgiev, Andrew Ilyas, Marzyeh Ghassemi, Aleksander Mądry
Main Conference Track
Time-FFM: Towards LM-Empowered Federated Foundation Model for Time Series Forecasting Qingxiang Liu, Xu Liu, Chenghao Liu, Qingsong Wen, Yuxuan Liang
Main Conference Track
Hypothesis Testing the Circuit Hypothesis in LLMs Claudia Shi, Nicolas Beltran-Velez, Achille Nazaret, Carolina Zheng, Adrià Garriga-Alonso, Andrew Jesson, Maggie Makar, David M. Blei
Main Conference Track
Temporal Graph Neural Tangent Kernel with Graphon-Guaranteed Katherine Tieu, Dongqi Fu, Yada Zhu, Hendrik Hamann, Jingrui He
Main Conference Track
Test-time Adaptation in Non-stationary Environments via Adaptive Representation Alignment Zhen-Yu Zhang, Zhiyu Xie, Huaxiu Yao, Masashi Sugiyama
Main Conference Track
Accelerating Augmentation Invariance Pretraining Jinhong Lin, Cheng-En Wu, Yibing Wei, Pedro Morgado
Main Conference Track
Pre-training Differentially Private Models with Limited Public Data Zhiqi Bu, Xinwei Zhang, Sheng Zha, Mingyi Hong, George Karypis
Main Conference Track
A Nearly Optimal and Low-Switching Algorithm for Reinforcement Learning with General Function Approximation Heyang Zhao, Jiafan He, Quanquan Gu
Main Conference Track
Is Cross-validation the Gold Standard to Estimate Out-of-sample Model Performance? Garud Iyengar, Henry Lam, Tianyu Wang
Main Conference Track
Soft-Label Integration for Robust Toxicity Classification Zelei Cheng, Xian Wu, Jiahao Yu, Shuo Han, Xin-Qiang Cai, Xinyu Xing
Main Conference Track
Online Composite Optimization Between Stochastic and Adversarial Environments Yibo Wang, Sijia Chen, Wei Jiang, Wenhao Yang, Yuanyu Wan, Lijun Zhang
Main Conference Track
Stepping Forward on the Last Mile Chen Feng, Shaojie Zhuo, Xiaopeng Zhang, Ramchalam Kinattinkara Ramakrishnan, Zhaocong Yuan, Andrew Zou Li
Main Conference Track
SpreadsheetBench: Towards Challenging Real World Spreadsheet Manipulation Zeyao Ma, Bohan Zhang, Jing Zhang, Jifan Yu, Xiaokang Zhang, Xiaohan Zhang, Sijia Luo, Xi Wang, Jie Tang
Datasets and Benchmarks Track
Adam with model exponential moving average is effective for nonconvex optimization Kwangjun Ahn, Ashok Cutkosky
Main Conference Track
Fundamental Limits of Prompt Compression: A Rate-Distortion Framework for Black-Box Language Models Alliot Nagle, Adway Girish, Marco Bondaschi, Michael Gastpar, Ashok Vardhan Makkuva, Hyeji Kim
Main Conference Track
From Chaos to Clarity: 3DGS in the Dark Zhihao Li, Yufei Wang, Alex Kot, Bihan Wen
Main Conference Track
RandNet-Parareal: a time-parallel PDE solver using Random Neural Networks Guglielmo Gattiglio, Lyudmila Grigoryeva, Massimiliano Tamborrino
Main Conference Track
A Primal-Dual-Assisted Penalty Approach to Bilevel Optimization with Coupled Constraints Liuyuan Jiang, Quan Xiao, Victor M. Tenorio, Fernando Real-Rojas, Antonio G. Marques, Tianyi Chen
Main Conference Track
Excluding the Irrelevant: Focusing Reinforcement Learning through Continuous Action Masking Roland Stolz, Hanna Krasowski, Jakob Thumm, Michael Eichelbeck, Philipp Gassert, Matthias Althoff
Main Conference Track
Measuring Multimodal Mathematical Reasoning with MATH-Vision Dataset Ke Wang, Junting Pan, Weikang Shi, Zimu Lu, Houxing Ren, Aojun Zhou, Mingjie Zhan, Hongsheng Li
Datasets and Benchmarks Track
AsyncDiff: Parallelizing Diffusion Models by Asynchronous Denoising Zigeng Chen, Xinyin Ma, Gongfan Fang, Zhenxiong Tan, Xinchao Wang
Main Conference Track
SyncTweedies: A General Generative Framework Based on Synchronized Diffusions Jaihoon Kim, Juil Koo, Kyeongmin Yeo, Minhyuk Sung
Main Conference Track
Grokking of Implicit Reasoning in Transformers: A Mechanistic Journey to the Edge of Generalization Boshi Wang, Xiang Yue, Yu Su, Huan Sun
Main Conference Track
MMLU-Pro: A More Robust and Challenging Multi-Task Language Understanding Benchmark Yubo Wang, Xueguang Ma, Ge Zhang, Yuansheng Ni, Abhranil Chandra, Shiguang Guo, Weiming Ren, Aaran Arulraj, Xuan He, Ziyan Jiang, Tianle Li, Max Ku, Kai Wang, Alex Zhuang, Rongqi Fan, Xiang Yue, Wenhu Chen
Datasets and Benchmarks Track
Effective Exploration Based on the Structural Information Principles Xianghua Zeng, Hao Peng, Angsheng Li
Main Conference Track
Safe Time-Varying Optimization based on Gaussian Processes with Spatio-Temporal Kernel Jialin Li, Marta Zagorowska, Giulia De Pasquale, Alisa Rupenyan, John Lygeros
Main Conference Track
Nonstationary Sparse Spectral Permanental Process Zicheng Sun, Yixuan Zhang, Zenan Ling, Xuhui Fan, Feng Zhou
Main Conference Track
Would I Lie To You? Inference Time Alignment of Language Models using Direct Preference Heads Avelina Asada Hadji-Kyriacou, Ognjen Arandjelović
Main Conference Track
ProG: A Graph Prompt Learning Benchmark Chenyi Zi, Haihong Zhao, Xiangguo Sun, Yiqing Lin, Hong Cheng, Jia Li
Datasets and Benchmarks Track
On the Use of Anchoring for Training Vision Models Vivek Narayanaswamy, Kowshik Thopalli, Rushil Anirudh, Yamen Mubarka, Wesam Sakla, Jayaraman J. Thiagarajan
Main Conference Track
Diffusion-Reward Adversarial Imitation Learning Chun-Mao Lai, Hsiang-Chun Wang, Ping-Chun Hsieh, Yu-Chiang Frank Wang, Min-Hung Chen, Shao-Hua Sun
Main Conference Track
Computerized Adaptive Testing via Collaborative Ranking Zirui Liu, Yan Zhuang, Qi Liu, Jiatong Li, Yuren Zhang, Zhenya Huang, Jinze Wu, Shijin Wang
Main Conference Track
Reverse Transition Kernel: A Flexible Framework to Accelerate Diffusion Inference Xunpeng Huang, Difan Zou, Hanze Dong, Yi Zhang, Yian Ma, Tong Zhang
Main Conference Track
Preventing Dimensional Collapse in Self-Supervised Learning via Orthogonality Regularization Junlin He, Jinxiao Du, Wei Ma
Main Conference Track
Shape analysis for time series Thibaut Germain, Samuel Gruffaz, Charles Truong, Laurent Oudre, Alain Durmus
Main Conference Track
Optimistic Verifiable Training by Controlling Hardware Nondeterminism Megha Srivastava, Simran Arora, Dan Boneh
Main Conference Track
Graph neural networks and non-commuting operators Mauricio Velasco, Kaiying O'Hare, Bernardo Rychtenberg, Soledad Villar
Main Conference Track
Navigating the Safety Landscape: Measuring Risks in Finetuning Large Language Models Sheng Yun Peng, Pin-Yu Chen, Matthew Hull, Duen Horng Chau
Main Conference Track
FinBen: A Holistic Financial Benchmark for Large Language Models Qianqian Xie, Weiguang Han, Zhengyu Chen, Ruoyu Xiang, Xiao Zhang, Yueru He, Mengxi Xiao, Dong Li, Yongfu Dai, Duanyu Feng, Yijing Xu, Haoqiang Kang, Ziyan Kuang, Chenhan Yuan, Kailai Yang, Zheheng Luo, Tianlin Zhang, Zhiwei Liu, Guojun Xiong, Zhiyang Deng, Yuechen Jiang, Zhiyuan Yao, Haohang Li, Yangyang Yu, Gang Hu, Jiajia Huang, Xiao-Yang Liu, Alejandro Lopez-Lira, Benyou Wang, Yanzhao Lai, Hao Wang, Min Peng, Sophia Ananiadou, Jimin Huang
Datasets and Benchmarks Track
Real-time Core-Periphery Guided ViT with Smart Data Layout Selection on Mobile Devices Zhihao Shu, Xiaowei Yu, Zihao Wu, Wenqi Jia, Yinchen Shi, Miao Yin, Tianming Liu, Dajiang Zhu, Wei Niu
Main Conference Track
ContextCite: Attributing Model Generation to Context Benjamin Cohen-Wang, Harshay Shah, Kristian Georgiev, Aleksander Mądry
Main Conference Track
MultiOrg: A Multi-rater Organoid-detection Dataset Christina Bukas, Harshavardhan Subramanian, Fenja See, Carina Steinchen, Ivan Ezhov, Gowtham Boosarpu, Sara Asgharpour, Gerald Burgstaller, Mareike Lehmann, Florian Kofler, Marie Piraud
Datasets and Benchmarks Track
Randomized algorithms and PAC bounds for inverse reinforcement learning in continuous spaces Angeliki Kamoutsi, Peter Schmitt-Förster, Tobias Sutter, Volkan Cevher, John Lygeros
Main Conference Track
Improving Neural ODE Training with Temporal Adaptive Batch Normalization Su Zheng, Zhengqi Gao, Fan-Keng Sun, Duane S. Boning, Bei Yu, Martin Wong
Main Conference Track
A Data-Centric Perspective on Evaluating Machine Learning Models for Tabular Data Andrej Tschalzev, Sascha Marton, Stefan Lüdtke, Christian Bartelt, Heiner Stuckenschmidt
Datasets and Benchmarks Track
Rethinking Reconstruction-based Graph-Level Anomaly Detection: Limitations and a Simple Remedy Sunwoo Kim, Soo Yong Lee, Fanchen Bu, Shinhwan Kang, Kyungho Kim, Jaemin Yoo, Kijung Shin
Main Conference Track
MMLONGBENCH-DOC: Benchmarking Long-context Document Understanding with Visualizations Yubo Ma, Yuhang Zang, Liangyu Chen, Meiqi Chen, Yizhu Jiao, Xinze Li, Xinyuan Lu, Ziyu Liu, Yan Ma, Xiaoyi Dong, Pan Zhang, Liangming Pan, Yu-Gang Jiang, Jiaqi Wang, Yixin Cao, Aixin Sun
Datasets and Benchmarks Track
Achieving Linear Convergence with Parameter-Free Algorithms in Decentralized Optimization Ilya Kuruzov, Gesualdo Scutari, Alexander Gasnikov
Main Conference Track
Contrastive-Equivariant Self-Supervised Learning Improves Alignment with Primate Visual Area IT Thomas Yerxa, Jenelle Feather, Eero P. Simoncelli, SueYeon Chung
Main Conference Track
Faster Algorithms for User-Level Private Stochastic Convex Optimization Andrew Lowy, Daogao Liu, Hilal Asi
Main Conference Track
Identify Then Recommend: Towards Unsupervised Group Recommendation Yue Liu, Shihao Zhu, Tianyuan Yang, Jian Ma, Wenliang Zhong
Main Conference Track
ImageNet3D: Towards General-Purpose Object-Level 3D Understanding Wufei Ma, Guofeng Zhang, Qihao Liu, Guanning Zeng, Adam Kortylewski, Yaoyao Liu, Alan Yuille
Datasets and Benchmarks Track
Fast Encoder-Based 3D from Casual Videos via Point Track Processing Yoni Kasten, Wuyue Lu, Haggai Maron
Main Conference Track
DreamScene4D: Dynamic Multi-Object Scene Generation from Monocular Videos Wen-Hsuan Chu, Lei Ke, Katerina Fragkiadaki
Main Conference Track
A distributional simplicity bias in the learning dynamics of transformers Riccardo Rende, Federica Gerace, Alessandro Laio, Sebastian Goldt
Main Conference Track
PCoTTA: Continual Test-Time Adaptation for Multi-Task Point Cloud Understanding Jincen Jiang, Qianyu Zhou, Yuhang Li, Xinkui Zhao, Meili Wang, Lizhuang Ma, Jian Chang, Jian Jun Zhang, Xuequan Lu
Main Conference Track
Nearly Minimax Optimal Submodular Maximization with Bandit Feedback Artin Tajdini, Lalit Jain, Kevin Jamieson
Main Conference Track
Latent Representation Matters: Human-like Sketches in One-shot Drawing Tasks Victor Boutin, Rishav Mukherji, Aditya Agrawal, Sabine Muzellec, Thomas Fel, Thomas Serre, Rufin VanRullen
Main Conference Track
Data-Driven Discovery of Dynamical Systems in Pharmacology using Large Language Models Samuel Holt, Zhaozhi Qian, Tennison Liu, James Weatherall, Mihaela van der Schaar
Main Conference Track
Improved Generation of Adversarial Examples Against Safety-aligned LLMs Qizhang Li, Yiwen Guo, Wangmeng Zuo, Hao Chen
Main Conference Track
UnlearnCanvas: Stylized Image Dataset for Enhanced Machine Unlearning Evaluation in Diffusion Models Yihua Zhang, Chongyu Fan, Yimeng Zhang, Yuguang Yao, Jinghan Jia, Jiancheng Liu, Gaoyuan Zhang, Gaowen Liu, Ramana Kompella, Xiaoming Liu, Sijia Liu
Datasets and Benchmarks Track
Text-Guided Attention is All You Need for Zero-Shot Robustness in Vision-Language Models Lu Yu, Haiyang Zhang, Changsheng Xu
Main Conference Track
Biomedical Visual Instruction Tuning with Clinician Preference Alignment Hejie Cui, Lingjun Mao, Xin Liang, Jieyu Zhang, Hui Ren, Quanzheng Li, Xiang Li, Carl Yang
Datasets and Benchmarks Track
LucidAction: A Hierarchical and Multi-model Dataset for Comprehensive Action Quality Assessment Linfeng Dong, Wei Wang, Yu Qiao, Xiao Sun
Datasets and Benchmarks Track
Classification Done Right for Vision-Language Pre-Training Zilong Huang, Qinghao Ye, Bingyi Kang, Jiashi Feng, Haoqi Fan
Main Conference Track
Brain Treebank: Large-scale intracranial recordings from naturalistic language stimuli Christopher Wang, Adam Yaari, Aaditya K Singh, Vighnesh Subramaniam, Dana Rosenfarb, Jan DeWitt, Pranav Misra, Joseph R Madsen, Scellig Stone, Gabriel Kreiman, Boris Katz, Ignacio Cases, Andrei Barbu
Datasets and Benchmarks Track
COVE: Unleashing the Diffusion Feature Correspondence for Consistent Video Editing Jiangshan Wang, Yue Ma, Jiayi Guo, Yicheng Xiao, Gao Huang, Xiu Li
Main Conference Track
Lower Bounds and Optimal Algorithms for Non-Smooth Convex Decentralized Optimization over Time-Varying Networks Dmitry Kovalev, Ekaterina Borodich, Alexander Gasnikov, Dmitrii Feoktistov
Main Conference Track
FactorizePhys: Matrix Factorization for Multidimensional Attention in Remote Physiological Sensing Jitesh Joshi, Sos S. Agaian, Youngjun Cho
Main Conference Track
Unveiling Causal Reasoning in Large Language Models: Reality or Mirage? Haoang Chi, He Li, Wenjing Yang, Feng Liu, Long Lan, Xiaoguang Ren, Tongliang Liu, Bo Han
Main Conference Track
Convolutions and More as Einsum: A Tensor Network Perspective with Advances for Second-Order Methods Felix Dangel
Main Conference Track
Lightweight Frequency Masker for Cross-Domain Few-Shot Semantic Segmentation Jintao Tong, Yixiong Zou, Yuhua Li, Ruixuan Li
Main Conference Track
The Power of Hard Attention Transformers on Data Sequences: A formal language theoretic perspective Pascal Bergsträßer, Chris Köcher, Anthony Widjaja Lin, Georg Zetzsche
Main Conference Track
Latent Intrinsics Emerge from Training to Relight Xiao Zhang, William Gao, Seemandhar Jain, Michael Maire, D.A. Forsyth, Anand Bhattad
Main Conference Track
StrategyLLM: Large Language Models as Strategy Generators, Executors, Optimizers, and Evaluators for Problem Solving Chang Gao, Haiyun Jiang, Deng Cai, Shuming Shi, Wai Lam
Main Conference Track
Inflationary Flows: Calibrated Bayesian Inference with Diffusion-Based Models Daniela de Albuquerque, John Pearson
Main Conference Track
Trading Place for Space: Increasing Location Resolution Reduces Contextual Capacity in Hippocampal Codes Spencer Rooke, Zhaoze Wang, Ronald W. Di Tullio, Vijay Balasubramanian
Main Conference Track
SHDocs: A dataset, benchmark, and method to efficiently generate high-quality, real-world specular highlight data with near-perfect alignment Jovin Leong, Ming Di Koa, Benjamin Cham, Shaun Heng
Datasets and Benchmarks Track
NeuralPlane: An Efficiently Parallelizable Platform for Fixed-wing Aircraft Control with Reinforcement Learning Chuanyi Xue, Qihan Liu, Xiaoteng Ma, Yang Qi, Xinyao Qin, Yuhua Jiang, Ning Gui, Jinsheng Ren, Bin Liang, Jun Yang
Datasets and Benchmarks Track
RealCompo: Balancing Realism and Compositionality Improves Text-to-Image Diffusion Models Xinchen Zhang, Ling Yang, Yaqi Cai, Zhaochen Yu, Kai-Ni Wang, Jiake Xie, Ye Tian, Minkai Xu, Yong Tang, Yujiu Yang, Bin Cui
Main Conference Track
RectifID: Personalizing Rectified Flow with Anchored Classifier Guidance Zhicheng Sun, Zhenhao Yang, Yang Jin, Haozhe Chi, Kun Xu, Kun Xu, Liwei Chen, Hao Jiang, Yang Song, Kun Gai, Yadong Mu
Main Conference Track
Rethinking Deep Thinking: Stable Learning of Algorithms using Lipschitz Constraints Jay Bear, Adam Prügel-Bennett, Jonathon Hare
Main Conference Track
Apathetic or Empathetic? Evaluating LLMs' Emotional Alignments with Humans Jen-tse Huang, Man Ho Lam, Eric John Li, Shujie Ren, Wenxuan Wang, Wenxiang Jiao, Zhaopeng Tu, Michael R. Lyu
Main Conference Track
Approximately Equivariant Neural Processes Matthew Ashman, Cristiana Diaconu, Adrian Weller, Wessel Bruinsma, Richard E. Turner
Main Conference Track
A Simple yet Scalable Granger Causal Structural Learning Approach for Topological Event Sequences Mingjia Li, Shuo Liu, Hong Qian, Aimin Zhou
Main Conference Track
MeshXL: Neural Coordinate Field for Generative 3D Foundation Models Sijin Chen, Xin Chen, Anqi Pang, Xianfang Zeng, Wei Cheng, Yijun Fu, Fukun Yin, Zhibin Wang, Jingyi Yu, Gang Yu, Bin Fu, Tao Chen
Main Conference Track
ID-to-3D: Expressive ID-guided 3D Heads via Score Distillation Sampling Francesca Babiloni, Alexandros Lattas, Jiankang Deng, Stefanos Zafeiriou
Main Conference Track
SfPUEL: Shape from Polarization under Unknown Environment Light Youwei Lyu, Heng Guo, Kailong Zhang, Si Li, Boxin Shi
Main Conference Track
Making Offline RL Online: Collaborative World Models for Offline Visual Reinforcement Learning Qi Wang, Junming Yang, Yunbo Wang, Xin Jin, Wenjun Zeng, Xiaokang Yang
Main Conference Track
Unravelling in Collaborative Learning Aymeric Capitaine, Etienne Boursier, Antoine Scheid, Eric Moulines, Michael I. Jordan, El-Mahdi El-Mhamdi, Alain Durmus
Main Conference Track
Noisy Label Learning with Instance-Dependent Outliers: Identifiability via Crowd Wisdom Tri Nguyen, Shahana Ibrahim, Xiao Fu
Main Conference Track
Mini-Sequence Transformers: Optimizing Intermediate Memory for Long Sequences Training Cheng Luo, Jiawei Zhao, Zhuoming Chen, Beidi Chen, Anima Anandkumar
Main Conference Track
Structure Consistent Gaussian Splatting with Matching Prior for Few-shot Novel View Synthesis Rui Peng, Wangze Xu, Luyang Tang, Liwei Liao, Jianbo Jiao, Ronggang Wang
Main Conference Track
MC-DiT: Contextual Enhancement via Clean-to-Clean Reconstruction for Masked Diffusion Models Guanghao Zheng, Yuchen Liu, Wenrui Dai, Chenglin Li, Junni Zou, Hongkai Xiong
Main Conference Track
Evaluating language models as risk scores André F. Cruz, Moritz Hardt, Celestine Mendler-Dünner
Datasets and Benchmarks Track
Divide-and-Conquer Posterior Sampling for Denoising Diffusion priors Yazid Janati, Badr Moufad, Alain Durmus, Eric Moulines, Jimmy Olsson
Main Conference Track
GaussianCube: A Structured and Explicit Radiance Representation for 3D Generative Modeling Bowen Zhang, Yiji Cheng, Jiaolong Yang, Chunyu Wang, Feng Zhao, Yansong Tang, Dong Chen, Baining Guo
Main Conference Track
Learn more, but bother less: parameter efficient continual learning Fuli Qiao, Mehrdad Mahdavi
Main Conference Track
Harmonizing Visual Text Comprehension and Generation Zhen Zhao, Jingqun Tang, Binghong Wu, Chunhui Lin, Shu Wei, Hao Liu, Xin Tan, Zhizhong Zhang, Can Huang, Yuan Xie
Main Conference Track
B-ary Tree Push-Pull Method is Provably Efficient for Distributed Learning on Heterogeneous Data Runze You, Shi Pu
Main Conference Track
Neural Characteristic Activation Analysis and Geometric Parameterization for ReLU Networks Wenlin Chen, Hong Ge
Main Conference Track
Diffusion-based Curriculum Reinforcement Learning Erdi Sayar, Giovanni Iacca, Ozgur S. Oguz, Alois Knoll
Main Conference Track
CoLoR-Filter: Conditional Loss Reduction Filtering for Targeted Language Model Pre-training David Brandfonbrener, Hanlin Zhang, Andreas Kirsch, Jonathan Richard Schwarz, Sham Kakade
Main Conference Track
Classic GNNs are Strong Baselines: Reassessing GNNs for Node Classification Yuankai Luo, Lei Shi, Xiao-Ming Wu
Datasets and Benchmarks Track
SCube: Instant Large-Scale Scene Reconstruction using VoxSplats Xuanchi Ren, Yifan Lu, Hanxue Liang, Zhangjie Wu, Huan Ling, Mike Chen, Sanja Fidler, Francis Williams, Jiahui Huang
Main Conference Track
Dueling over Dessert, Mastering the Art of Repeated Cake Cutting Simina Brânzei, MohammadTaghi Hajiaghayi, Reed Phillips, Suho Shin, Kun Wang
Main Conference Track
AID: Attention Interpolation of Text-to-Image Diffusion Qiyuan He, Jinghao Wang, Ziwei Liu, Angela Yao
Main Conference Track
SelectIT: Selective Instruction Tuning for LLMs via Uncertainty-Aware Self-Reflection Liangxin Liu, Xuebo Liu, Derek F. Wong, Dongfang Li, Ziyi Wang, Baotian Hu, Min Zhang
Main Conference Track
A Taxonomy of Challenges to Curating Fair Datasets Dora Zhao, Morgan Klaus Scheuerman, Pooja Chitre, Jerone T. A. Andrews, Georgia Panagiotidou, Shawn Walker, Kathleen H. Pine, Alice Xiang
Datasets and Benchmarks Track
Real-world Image Dehazing with Coherence-based Pseudo Labeling and Cooperative Unfolding Network Chengyu Fang, Chunming He, Fengyang Xiao, Yulun Zhang, Longxiang Tang, Yuelin Zhang, Kai Li, Xiu Li
Main Conference Track
Semi-supervised Multi-label Learning with Balanced Binary Angular Margin Loss Ximing Li, Silong Liang, Changchun Li, Pengfei Wang, Fangming Gu
Main Conference Track
Statistical-Computational Trade-offs for Density Estimation Anders Aamand, Alexandr Andoni, Justin Y. Chen, Piotr Indyk, Shyam Narayanan, Sandeep Silwal, Haike Xu
Main Conference Track
Benchmarking the Attribution Quality of Vision Models Robin Hesse, Simone Schaub-Meyer, Stefan Roth
Datasets and Benchmarks Track
Extracting Training Data from Molecular Pre-trained Models Renhong Huang, Jiarong Xu, Zhiming Yang, Xiang Si, Xin Jiang, Hanyang Yuan, Chunping Wang, Yang Yang
Main Conference Track
Learning-Augmented Algorithms with Explicit Predictors Marek Eliáš, Haim Kaplan, Yishay Mansour, Shay Moran
Main Conference Track
Do LLMs Build World Representations? Probing Through the Lens of State Abstraction Zichao Li, Yanshuai Cao, Jackie C.K. Cheung
Main Conference Track
Einsum Benchmark: Enabling the Development of Next-Generation Tensor Execution Engines Mark Blacher, Christoph Staudt, Julien Klaus, Maurice Wenig, Niklas Merk, Alexander Breuer, Max Engel, Sören Laue, Joachim Giesen
Datasets and Benchmarks Track
Understanding Transformers via N-Gram Statistics Timothy Nguyen
Main Conference Track
Neuro-Vision to Language: Enhancing Brain Recording-based Visual Reconstruction and Language Interaction Guobin Shen, Dongcheng Zhao, Xiang He, Linghao Feng, Yiting Dong, Jihang Wang, Qian Zhang, Yi Zeng
Main Conference Track
Transformers need glasses! Information over-squashing in language tasks Federico Barbero, Andrea Banino, Steven Kapturowski, Dharshan Kumaran, João G.M. Araújo, Alex Vitvitskyi, Razvan Pascanu, Petar Veličković
Main Conference Track
Statistical Multicriteria Benchmarking via the GSD-Front Christoph Jansen, Georg Schollmeyer, Julian Rodemann, Hannah Blocher, Thomas Augustin
Main Conference Track
MixEval: Deriving Wisdom of the Crowd from LLM Benchmark Mixtures Jinjie Ni, Fuzhao Xue, Xiang Yue, Yuntian Deng, Mahir Shah, Kabir Jain, Graham Neubig, Yang You
Main Conference Track
RWKU: Benchmarking Real-World Knowledge Unlearning for Large Language Models Zhuoran jin, Pengfei Cao, Chenhao Wang, Zhitao He, Hongbang Yuan, Jiachun Li, Yubo Chen, Kang Liu, Jun Zhao
Datasets and Benchmarks Track
Stopping Bayesian Optimization with Probabilistic Regret Bounds James T. Wilson
Main Conference Track
DDK: Distilling Domain Knowledge for Efficient Large Language Models Jiaheng Liu, Chenchen Zhang, Jinyang Guo, Yuanxing Zhang, Haoran Que, Ken Deng, Zhiqi Bai, Jie Liu, Ge Zhang, Jiakai Wang, Yanan Wu, Congnan Liu, Jiamang Wang, Lin Qu, Wenbo Su, Bo Zheng
Main Conference Track
AP-Adapter: Improving Generalization of Automatic Prompts on Unseen Text-to-Image Diffusion Models Yuchen Fu, Zhiwei Jiang, Yuliang Liu, Cong Wang, Zexuan Deng, Zhaoling Chen, Qing Gu
Main Conference Track
A Modular Conditional Diffusion Framework for Image Reconstruction Magauiya Zhussip, Iaroslav Koshelev, Stamatis Lefkimmiatis
Main Conference Track
Scale-invariant Optimal Sampling for Rare-events Data and Sparse Models Jing Wang, HaiYing Wang, Hao Helen Zhang
Main Conference Track
TransAgent: Transfer Vision-Language Foundation Models with Heterogeneous Agent Collaboration Yiwei Guo, Shaobin Zhuang, Kunchang Li, Yu Qiao, Yali Wang
Main Conference Track
Few-Shot Task Learning through Inverse Generative Modeling Aviv Netanyahu, Yilun Du, Antonia Bronars, Jyothish Pari, Joshua Tenenbaum, Tianmin Shu, Pulkit Agrawal
Main Conference Track
Scene Graph Disentanglement and Composition for Generalizable Complex Image Generation Yunnan Wang, Ziqiang Li, Wenyao Zhang, Zequn Zhang, Baao Xie, Xihui Liu, Wenjun Zeng, Xin Jin
Main Conference Track
Physics-Informed Variational State-Space Gaussian Processes Oliver Hamelijnck, Arno Solin, Theodoros Damoulas
Main Conference Track
SuperDeepFool: a new fast and accurate minimal adversarial attack Alireza Abdollahpoorrostam, Mahed Abroshan, Seyed-Mohsen Moosavi-Dezfooli
Main Conference Track
Dual Cone Gradient Descent for Training Physics-Informed Neural Networks Youngsik Hwang, Dong-Young Lim
Main Conference Track
On the Efficiency of ERM in Feature Learning Ayoub El Hanchi, Chris J. Maddison, Murat A. Erdogdu
Main Conference Track
Uncovering the Redundancy in Graph Self-supervised Learning Models Zhibiao Wang, Xiao Wang, Haoyue Deng, Nian Liu, Shirui Pan, Chunming Hu
Main Conference Track
Membership Inference Attacks against Large Vision-Language Models Zhan Li, Yongtao Wu, Yihang Chen, Francesco Tonin, Elias Abad Rocamora, Volkan Cevher
Main Conference Track
Transformers Learn to Achieve Second-Order Convergence Rates for In-Context Linear Regression Deqing Fu, Tian-Qi Chen, Robin Jia, Vatsal Sharan
Main Conference Track
$\text{Di}^2\text{Pose}$: Discrete Diffusion Model for Occluded 3D Human Pose Estimation Weiquan Wang, Jun Xiao, Chunping Wang, Wei Liu, Zhao Wang, Long Chen
Main Conference Track
Drift-Resilient TabPFN: In-Context Learning Temporal Distribution Shifts on Tabular Data Kai Helli, David Schnurr, Noah Hollmann, Samuel Müller, Frank Hutter
Main Conference Track
Flex-MoE: Modeling Arbitrary Modality Combination via the Flexible Mixture-of-Experts Sukwon Yun, Inyoung Choi, Jie Peng, Yangfan Wu, Jingxuan Bao, Qiyiwen Zhang, Jiayi Xin, Qi Long, Tianlong Chen
Main Conference Track
Diffusion-DICE: In-Sample Diffusion Guidance for Offline Reinforcement Learning Liyuan Mao, Haoran Xu, Xianyuan Zhan, Weinan Zhang, Amy Zhang
Main Conference Track
An Equivalence Between Static and Dynamic Regret Minimization Andrew Jacobsen, Francesco Orabona
Main Conference Track
Entropy-regularized Diffusion Policy with Q-Ensembles for Offline Reinforcement Learning Ruoqi Zhang, Ziwei Luo, Jens Sjölund, Thomas B. Schön, Per Mattsson
Main Conference Track
Hierarchy-Agnostic Unsupervised Segmentation: Parsing Semantic Image Structure Simone Rossetti, Fiora Pirri
Main Conference Track
Can neural operators always be continuously discretized? Takashi Furuya, Michael Puthawala, Maarten V. de Hoop, Matti Lassas
Main Conference Track
Sample-Efficient Private Learning of Mixtures of Gaussians Hassan Ashtiani, Mahbod Majid, Shyam Narayanan
Main Conference Track
ALI-Agent: Assessing LLMs' Alignment with Human Values via Agent-based Evaluation Jingnan Zheng, Han Wang, An Zhang, Tai D. Nguyen, Jun Sun, Tat-Seng Chua
Main Conference Track
Non-asymptotic Approximation Error Bounds of Parameterized Quantum Circuits Zhan Yu, Qiuhao Chen, Yuling Jiao, Yinan Li, Xiliang Lu, Xin Wang, Jerry Zhijian Yang
Main Conference Track
CURE4Rec: A Benchmark for Recommendation Unlearning with Deeper Influence Chaochao Chen, Jiaming Zhang, Yizhao Zhang, Li Zhang, Lingjuan Lyu, Yuyuan Li, Biao Gong, Chenggang Yan
Datasets and Benchmarks Track
ProvNeRF: Modeling per Point Provenance in NeRFs as a Stochastic Field Kiyohiro Nakayama, Mikaela Angelina Uy, Yang You, Ke Li, Leonida J. Guibas
Main Conference Track
Elucidating the Design Space of Dataset Condensation Shitong Shao, Zikai Zhou, Huanran Chen, Zhiqiang Shen
Main Conference Track
Towards Next-Generation Logic Synthesis: A Scalable Neural Circuit Generation Framework Zhihai Wang, Jie Wang, Qingyue Yang, Yinqi Bai, Xing Li, Lei Chen, Jianye Hao, Mingxuan Yuan, Bin Li, Yongdong Zhang, Feng Wu
Main Conference Track
ControlSynth Neural ODEs: Modeling Dynamical Systems with Guaranteed Convergence Wenjie Mei, Dongzhe Zheng, Shihua Li
Main Conference Track
Make-it-Real: Unleashing Large Multimodal Model for Painting 3D Objects with Realistic Materials Ye Fang, Zeyi Sun, Tong Wu, Jiaqi Wang, Ziwei Liu, Gordon Wetzstein, Dahua Lin
Main Conference Track
MVInpainter: Learning Multi-View Consistent Inpainting to Bridge 2D and 3D Editing Chenjie Cao, Chaohui Yu, Fan Wang, Xiangyang Xue, Yanwei Fu
Main Conference Track
PersonalSum: A User-Subjective Guided Personalized Summarization Dataset for Large Language Models Lemei Zhang, Peng Liu, Marcus Tiedemann Oekland Henriksboe, Even W. Lauvrak, Jon Atle Gulla, Heri Ramampiaro
Datasets and Benchmarks Track
PaCE: Parsimonious Concept Engineering for Large Language Models Jinqi Luo, Tianjiao Ding, Kwan Ho Ryan Chan, Darshan Thaker, Aditya Chattopadhyay, Chris Callison-Burch, René Vidal
Main Conference Track
SHED: Shapley-Based Automated Dataset Refinement for Instruction Fine-Tuning Yexiao He, Ziyao Wang, Zheyu Shen, Guoheng Sun, Yucong Dai, Yongkai Wu, Hongyi Wang, Ang Li
Main Conference Track
Unlearnable 3D Point Clouds: Class-wise Transformation Is All You Need Xianlong Wang, Minghui Li, Wei Liu, Hangtao Zhang, Shengshan Hu, Yechao Zhang, Ziqi Zhou, Hai Jin
Main Conference Track
How to Solve Contextual Goal-Oriented Problems with Offline Datasets? Ying Fan, Jingling Li, Adith Swaminathan, Aditya Modi, Ching-An Cheng
Main Conference Track
Scalable Kernel Inverse Optimization Youyuan Long, Tolga Ok, Pedro Zattoni Scroccaro, Peyman Mohajerin Esfahani
Main Conference Track
DeNetDM: Debiasing by Network Depth Modulation Silpa Vadakkeeveetil Sreelatha, Adarsh Kappiyath, Abhra Chaudhuri, Anjan Dutta
Main Conference Track
Length Optimization in Conformal Prediction Shayan Kiyani, George Pappas, Hamed Hassani
Main Conference Track
Stochastic Zeroth-Order Optimization under Strongly Convexity and Lipschitz Hessian: Minimax Sample Complexity Qian Yu, Yining Wang, Baihe Huang, Qi Lei, Jason D. Lee
Main Conference Track
Human-3Diffusion: Realistic Avatar Creation via Explicit 3D Consistent Diffusion Models Yuxuan Xue, Xianghui Xie, Riccardo Marin, Gerard Pons-Moll
Main Conference Track
Efficient Prompt Optimization Through the Lens of Best Arm Identification Chengshuai Shi, Kun Yang, Zihan Chen, Jundong Li, Jing Yang, Cong Shen
Main Conference Track
Fair Kernel K-Means: from Single Kernel to Multiple Kernel Peng Zhou, Rongwen Li, Liang Du
Main Conference Track
Learning Commonality, Divergence and Variety for Unsupervised Visible-Infrared Person Re-identification Jiangming Shi, Xiangbo Yin, Yachao Zhang, Zhizhong Zhang, Yuan Xie, Yanyun Qu
Main Conference Track
Stabilized Proximal-Point Methods for Federated Optimization Xiaowen Jiang, Anton Rodomanov, Sebastian U. Stich
Main Conference Track
Why Go Full? Elevating Federated Learning Through Partial Network Updates Haolin Wang, Xuefeng Liu, Jianwei Niu, Wenkai Guo, Shaojie Tang
Main Conference Track
Efficiently Learning Significant Fourier Feature Pairs for Statistical Independence Testing Yixin Ren, Yewei Xia, Hao Zhang, Jihong Guan, Shuigeng Zhou
Main Conference Track
OwMatch: Conditional Self-Labeling with Consistency for Open-World Semi-Supervised Learning Shengjie Niu, Lifan Lin, Jian Huang, Chao Wang
Main Conference Track
Can an AI Agent Safely Run a Government? Existence of Probably Approximately Aligned Policies Frédéric Berdoz, Roger Wattenhofer
Main Conference Track
DC-Gaussian: Improving 3D Gaussian Splatting for Reflective Dash Cam Videos Linhan Wang, Kai Cheng, Shuo Lei, Shengkun Wang, Wei Yin, Chenyang Lei, Xiaoxiao Long, Chang-Tien Lu
Main Conference Track
Relating Hopfield Networks to Episodic Control Hugo Chateau-Laurent, Frédéric Alexandre
Main Conference Track
Enhancing vision-language models for medical imaging: bridging the 3D gap with innovative slice selection Yuli Wang, Jian Peng, Yuwei Dai, Craig Jones, Haris Sair, Jinglai Shen, Nicolas Loizou, Jing Wu, Wen-Chi Hsu, Maliha Imami, Zhicheng Jiao, Paul Zhang, Harrison Bai
Datasets and Benchmarks Track
Explanations that reveal all through the deﬁnition of encoding Aahlad Puli, Nhi Nguyen, Rajesh Ranganath
Main Conference Track
Fourier Amplitude and Correlation Loss: Beyond Using L2 Loss for Skillful Precipitation Nowcasting Chiu-Wai Yan, Shi Quan Foo, Van Hoan Trinh, Dit-Yan Yeung, Ka-Hing Wong, Wai-Kin Wong
Main Conference Track
Robust Mixture Learning when Outliers Overwhelm Small Groups Daniil Dmitriev, Rares-Darius Buhai, Stefan Tiegel, Alexander Wolters, Gleb Novikov, Amartya Sanyal, David Steurer, Fanny Yang
Main Conference Track
Target-Guided Adversarial Point Cloud Transformer Towards Recognition Against Real-world Corruptions Jie Wang, Tingfa Xu, Lihe Ding, Jianan Li
Main Conference Track
On the Complexity of Identification in Linear Structural Causal Models Julian Dörfler, Benito van der Zander, Markus Bläser, Maciej Liśkiewicz
Main Conference Track
Dynamic Model Predictive Shielding for Provably Safe Reinforcement Learning Arko Banerjee, Kia Rahmani, Joydeep Biswas, Isil Dillig
Main Conference Track
A theoretical design of concept sets: improving the predictability of concept bottleneck models Max Ruiz Luyten, Mihaela van der Schaar
Main Conference Track
HARMONIC: Harnessing LLMs for Tabular Data Synthesis and Privacy Protection Yuxin Wang, Duanyu Feng, Yongfu Dai, Zhengyu Chen, Jimin Huang, Sophia Ananiadou, Qianqian Xie, Hao Wang
Datasets and Benchmarks Track
QuaRot: Outlier-Free 4-Bit Inference in Rotated LLMs Saleh Ashkboos, Amirkeivan Mohtashami, Maximilian L. Croci, Bo Li, Pashmina Cameron, Martin Jaggi, Dan Alistarh, Torsten Hoefler, James Hensman
Main Conference Track
Global Distortions from Local Rewards: Neural Coding Strategies in Path-Integrating Neural Systems Francisco Acosta, Fatih Dinc, William T. Redman, Manu Madhav, David Klindt, Nina Miolane
Main Conference Track
Is O(log N) practical? Near-Equivalence Between Delay Robustness and Bounded Regret in Bandits and RL Enoch H. Kang, P. R. Kumar
Main Conference Track
CoVoMix: Advancing Zero-Shot Speech Generation for Human-like Multi-talker Conversations Leying Zhang, Yao Qian, Long Zhou, Shujie Liu, Dongmei Wang, Xiaofei Wang, Midia Yousefi, Yanmin Qian, Jinyu Li, Lei He, Sheng Zhao, Michael Zeng
Main Conference Track
Aligner-Encoders: Self-Attention Transformers Can Be Self-Transducers Adam Stooke, Rohit Prabhavalkar, Khe Chai Sim, Pedro Moreno Mengibar
Main Conference Track
Lever LM: Configuring In-Context Sequence to Lever Large Vision Language Models Xu Yang, Yingzhe Peng, Haoxuan Ma, Shuo Xu, Chi Zhang, Yucheng Han, Hanwang Zhang
Main Conference Track
DetectRL: Benchmarking LLM-Generated Text Detection in Real-World Scenarios Junchao Wu, Runzhe Zhan, Derek F. Wong, Shu Yang, Xinyi Yang, Yulin Yuan, Lidia S. Chao
Datasets and Benchmarks Track
Boosting Transferability and Discriminability for Time Series Domain Adaptation Mingyang Liu, Xinyang Chen, Yang Shu, Xiucheng Li, Weili Guan, Liqiang Nie
Main Conference Track
Embodied Agent Interface: Benchmarking LLMs for Embodied Decision Making Manling Li, Shiyu Zhao, Qineng Wang, Kangrui Wang, Yu Zhou, Sanjana Srivastava, Cem Gokmen, Tony Lee, Li Erran Li, Ruohan Zhang, Weiyu Liu, Percy Liang, Li Fei-Fei, Jiayuan Mao, Jiajun Wu
Datasets and Benchmarks Track
Resolving Discrepancies in Compute-Optimal Scaling of Language Models Tomer Porian, Mitchell Wortsman, Jenia Jitsev, Ludwig Schmidt, Yair Carmon
Main Conference Track
Sample-Efficient Agnostic Boosting Udaya Ghai, Karan Singh
Main Conference Track
Geometry of naturalistic object representations in recurrent neural network models of working memory Xiaoxuan Lei, Takuya Ito, Pouya Bashivan
Main Conference Track
SustainDC: Benchmarking for Sustainable Data Center Control Avisek Naug, Antonio Guillen, Ricardo Luna, Vineet Gundecha, Cullen Bash, Sahand Ghorbanpour, Sajad Mousavi, Ashwin Ramesh Babu, Dejan Markovikj, Lekhapriya D Kashyap, Desik Rengarajan, Soumyendu Sarkar
Datasets and Benchmarks Track
Adaptive Proximal Gradient Method for Convex Optimization Yura Malitsky, Konstantin Mishchenko
Main Conference Track
Streaming Detection of Queried Event Start Cristóbal Eyzaguirre, Eric Tang, Shyamal Buch, Adrien Gaidon, Jiajun Wu, Juan Carlos Niebles
Datasets and Benchmarks Track
ConvBench: A Multi-Turn Conversation Evaluation Benchmark with Hierarchical Ablation Capability for Large Vision-Language Models Shuo Liu, Kaining Ying, Hao Zhang, Yue Yang, Yuqi Lin, Tianle Zhang, Chuanhao Li, Yu Qiao, Ping Luo, Wenqi Shao, Kaipeng Zhang
Datasets and Benchmarks Track
HYDRA: Model Factorization Framework for Black-Box LLM Personalization Yuchen Zhuang, Haotian Sun, Yue Yu, Rushi Qiang, Qifan Wang, Chao Zhang, Bo Dai
Main Conference Track
Fine-Tuning Personalization in Federated Learning to Mitigate Adversarial Clients Youssef Allouah, Abdellah El Mrini, Rachid Guerraoui, Nirupam Gupta, Rafael Pinot
Main Conference Track
MOTE-NAS: Multi-Objective Training-based Estimate for Efficient Neural Architecture Search Yu-Ming Zhang, Jun-Wei Hsieh, Xin Li, Ming-Ching Chang, Chun-Chieh Lee, Kuo-Chin Fan
Main Conference Track
Paths to Equilibrium in Games Bora Yongacoglu, Gürdal Arslan, Lacra Pavel, Serdar Yüksel
Main Conference Track
Identity Decoupling for Multi-Subject Personalization of Text-to-Image Models Sangwon Jang, Jaehyeong Jo, Kimin Lee, Sung Ju Hwang
Main Conference Track
Watch Out for Your Agents! Investigating Backdoor Threats to LLM-Based Agents Wenkai Yang, Xiaohan Bi, Yankai Lin, Sishuo Chen, Jie Zhou, Xu Sun
Main Conference Track
CodeRosetta: Pushing the Boundaries of Unsupervised Code Translation for Parallel Programming Ali TehraniJamsaz, Arijit Bhattacharjee, Le Chen, Nesreen K. Ahmed, Amir Yazdanbakhsh, Ali Jannesari
Main Conference Track
An Information Theoretic Perspective on Conformal Prediction Alvaro H.C. Correia, Fabio Valerio Massoli, Christos Louizos, Arash Behboodi
Main Conference Track
MUVERA: Multi-Vector Retrieval via Fixed Dimensional Encoding Laxman Dhulipala, Majid Hadian, Rajesh Jayaram, Jason Lee, Vahab Mirrokni
Main Conference Track
TAPTRv2: Attention-based Position Update Improves Tracking Any Point Hongyang Li, Hao Zhang, Shilong Liu, Zhaoyang Zeng, Feng Li, Tianhe Ren, Bohan Li, Lei Zhang
Main Conference Track
Voxel Proposal Network via Multi-Frame Knowledge Distillation for Semantic Scene Completion Lubo Wang, Di Lin, Kairui Yang, Ruonan Liu, Qing Guo, Wuyuan Xie, Miaohui Wang, Lingyu Liang, Yi Wang, Ping Li
Main Conference Track
Warped Diffusion: Solving Video Inverse Problems with Image Diffusion Models Giannis Daras, Weili Nie, Karsten Kreis, Alexandros G. Dimakis, Morteza Mardani, Nikola B. Kovachki, Arash Vahdat
Main Conference Track
OpenDlign: Open-World Point Cloud Understanding with Depth-Aligned Images Ye Mao, Junpeng Jing, Krystian Mikolajczyk
Main Conference Track
A Flexible, Equivariant Framework for Subgraph GNNs via Graph Products and Graph Coarsening Guy Bar-Shalom, Yam Eitan, Fabrizio Frasca, Haggai Maron
Main Conference Track
UniDSeg: Unified Cross-Domain 3D Semantic Segmentation via Visual Foundation Models Prior Yao Wu, Mingwei Xing, Yachao Zhang, Xiaotong Luo, Yuan Xie, Yanyun Qu
Main Conference Track
From Causal to Concept-Based Representation Learning Goutham Rajendran, Simon Buchholz, Bryon Aragam, Bernhard Schölkopf, Pradeep Ravikumar
Main Conference Track
Foundations of Multivariate Distributional Reinforcement Learning Harley Wiltzer, Jesse Farebrother, Arthur Gretton, Mark Rowland
Main Conference Track
Tell What You Hear From What You See - Video to Audio Generation Through Text Xiulong Liu, Kun Su, Eli Shlizerman
Main Conference Track
SEEV: Synthesis with Efficient Exact Verification for ReLU Neural Barrier Functions Hongchao Zhang, Zhizhen Qin, Sicun Gao, Andrew Clark
Main Conference Track
Unveiling the Hidden Structure of Self-Attention via Kernel Principal Component Analysis Rachel S.Y. Teo, Tan M. Nguyen
Main Conference Track
Prototypical Hash Encoding for On-the-Fly Fine-Grained Category Discovery Haiyang Zheng, Nan Pu, Wenjing Li, Nicu Sebe, Zhun Zhong
Main Conference Track
Multi-Scale Representation Learning for Protein Fitness Prediction Zuobai Zhang, Pascal Notin, Yining Huang, Aurélie Lozano, Vijil Chenthamarakshan, Debora Marks, Payel Das, Jian Tang
Main Conference Track
DiffusionFake: Enhancing Generalization in Deepfake Detection via Guided Stable Diffusion Ke Sun, Shen Chen, Taiping Yao, Hong Liu, Xiaoshuai Sun, Shouhong Ding, Rongrong Ji
Main Conference Track
Rethinking Transformer for Long Contextual Histopathology Whole Slide Image Analysis Honglin Li, Yunlong Zhang, Pingyi Chen, Zhongyi Shui, Chenglu Zhu, Lin Yang
Main Conference Track
Consensus Learning with Deep Sets for Essential Matrix Estimation Dror Moran, Yuval Margalit, Guy Trostianetsky, Fadi Khatib, Meirav Galun, Ronen Basri
Main Conference Track
Any2Graph: Deep End-To-End Supervised Graph Prediction With An Optimal Transport Loss Paul Krzakala, Junjie Yang, Rémi Flamary, Florence d'Alché-Buc, Charlotte Laclau, Matthieu Labeau
Main Conference Track
RadarOcc: Robust 3D Occupancy Prediction with 4D Imaging Radar Fangqiang Ding, Xiangyu Wen, Yunzhou Zhu, Yiming Li, Chris Xiaoxuan Lu
Main Conference Track
FIRE: A Dataset for Feedback Integration and Refinement Evaluation of Multimodal Models Pengxiang Li, Zhi Gao, Bofei Zhang, Tao Yuan, Yuwei Wu, Mehrtash Harandi, Yunde Jia, Song-Chun Zhu, Qing Li
Datasets and Benchmarks Track
Neural Experts: Mixture of Experts for Implicit Neural Representations Yizhak Ben-Shabat, Chamin Hewa Koneputugodage, Sameera Ramasinghe, Stephen Gould
Main Conference Track
Fast Rates in Stochastic Online Convex Optimization by Exploiting the Curvature of Feasible Sets Taira Tsuchiya, Shinji Ito
Main Conference Track
Strategic Littlestone Dimension: Improved Bounds on Online Strategic Classification Saba Ahmadi, Kunhe Yang, Hanrui Zhang
Main Conference Track
Transfer Q-star : Principled Decoding for LLM Alignment Souradip Chakraborty, Soumya Suvra Ghosal, Ming Yin, Dinesh Manocha, Mengdi Wang, Amrit Singh Bedi, Furong Huang
Main Conference Track
Learning to Decouple the Lights for 3D Face Texture Modeling Tianxin Huang, Zhenyu Zhang, Ying Tai, Gim Hee Lee
Main Conference Track
MotionGS: Exploring Explicit Motion Guidance for Deformable 3D Gaussian Splatting Ruijie Zhu, Yanzhe Liang, Hanzhi Chang, Jiacheng Deng, Jiahao Lu, Wenfei Yang, Tianzhu Zhang, Yongdong Zhang
Main Conference Track
SSDM: Scalable Speech Dysfluency Modeling Jiachen Lian, Xuanru Zhou, Zoe Ezzes, Jet Vonk, Brittany Morin, David Baquirin, Zachary Miller, Maria Luisa Gorno Tempini, Gopala Anumanchipalli
Main Conference Track
Neural Signed Distance Function Inference through Splatting 3D Gaussians Pulled on Zero-Level Set Wenyuan Zhang, Yu-Shen Liu, Zhizhong Han
Main Conference Track
BiVLC: Extending Vision-Language Compositionality Evaluation with Text-to-Image Retrieval Imanol Miranda, Ander Salaberria, Eneko Agirre, Gorka Azkune
Datasets and Benchmarks Track
LM-HT SNN: Enhancing the Performance of SNN to ANN Counterpart through Learnable Multi-hierarchical Threshold Model Zecheng Hao, Xinyu Shi, Yujia Liu, Zhaofei Yu, Tiejun Huang
Main Conference Track
Preference Learning Algorithms Do Not Learn Preference Rankings Angelica Chen, Sadhika Malladi, Lily H. Zhang, Xinyi Chen, Qiuyi Zhang, Rajesh Ranganath, Kyunghyun Cho
Main Conference Track
Learn To be Efficient: Build Structured Sparsity in Large Language Models Haizhong Zheng, Xiaoyan Bai, Xueshen Liu, Z. Morley Mao, Beidi Chen, Fan Lai, Atul Prakash
Main Conference Track
MaVEn: An Effective Multi-granularity Hybrid Visual Encoding Framework for Multimodal Large Language Model Chaoya Jiang, Hongrui Jia, Haiyang Xu, Wei Ye, Mengfan Dong, Ming Yan, Ji Zhang, Fei Huang, Shikun Zhang
Main Conference Track
CigTime: Corrective Instruction Generation Through Inverse Motion Editing Qihang Fang, Chengcheng Tang, Bugra Tekin, Yanchao Yang
Main Conference Track
Continuous Heatmap Regression for Pose Estimation via Implicit Neural Representation Shengxiang Hu, Huaijiang Sun, Dong Wei, Xiaoning Sun, Jin Wang
Main Conference Track
Efficient Adaptation of Pre-trained Vision Transformer via Householder Transformation Wei Dong, Yuan Sun, Yiting Yang, Xing Zhang, Zhijun Lin, Qingsen Yan, Haokui Zhang, Peng Wang, Yang Yang, Hengtao Shen
Main Conference Track
A Simulation Benchmark for Autonomous Racing with Large-Scale Human Data Adrian Remonda, Nicklas Hansen, Ayoub Raji, Nicola Musiu, Marko Bertogna, Eduardo E. Veas, Xiaolong Wang
Datasets and Benchmarks Track
BioTrove: A Large Curated Image Dataset Enabling AI for Biodiversity Chih-Hsuan Yang, Ben Feuer, Zaki Jubery, Zi K. Deng, Andre Nakkab, Md Zahid Hasan, Shivani Chiranjeevi, Kelly Marshall, Nirmal Baishnab, Asheesh K Singh, Arti Singh, Soumik Sarkar, Nirav Merchant, Chinmay Hegde, Baskar Ganapathysubramanian
Datasets and Benchmarks Track
LoRANN: Low-Rank Matrix Factorization for Approximate Nearest Neighbor Search Elias Jääsaari, Ville Hyvönen, Teemu Roos
Main Conference Track
Random Cycle Coding: Lossless Compression of Cluster Assignments via Bits-Back Coding Daniel Severo, Ashish Khisti, Alireza Makhzani
Main Conference Track
UniBias: Unveiling and Mitigating LLM Bias through Internal Attention and FFN Manipulation Hanzhang Zhou, Zijian Feng, Zixiao Zhu, Junlang Qian, Kezhi Mao
Main Conference Track
Structured Multi-Track Accompaniment Arrangement via Style Prior Modelling Jingwei Zhao, Gus Xia, Ziyu Wang, Ye Wang
Main Conference Track
TPR: Topology-Preserving Reservoirs for Generalized Zero-Shot Learning Hui Chen, Yanbin Liu, Yongqiang Ma, Nanning Zheng, Xin Yu
Main Conference Track
On the Scalability of Certified Adversarial Robustness with Generated Data Thomas Altstidl, David Dobre, Arthur Kosmala, Björn Eskofier, Gauthier Gidel, Leo Schwinn
Main Conference Track
No Free Delivery Service: Epistemic limits of passive data collection in complex social systems Maximilian Nickel
Main Conference Track
Discovery of the Hidden World with Large Language Models Chenxi Liu, Yongqiang Chen, Tongliang Liu, Mingming Gong, James Cheng, Bo Han, Kun Zhang
Main Conference Track
Full-Distance Evasion of Pedestrian Detectors in the Physical World Zhi Cheng, Zhanhao Hu, Yuqiu Liu, Jianmin Li, Hang Su, Xiaolin Hu
Main Conference Track
Can Models Learn Skill Composition from Examples? Haoyu Zhao, Simran Kaur, Dingli Yu, Anirudh Goyal, Sanjeev Arora
Main Conference Track
A Bayesian Approach for Personalized Federated Learning in Heterogeneous Settings Disha Makhija, Joydeep Ghosh, Nhat Ho
Main Conference Track
A Fast Convoluted Story: Scaling Probabilistic Inference for Integer Arithmetics Lennert De Smet, Pedro Zuidberg Dos Martires
Main Conference Track
Unsupervised Object Detection with Theoretical Guarantees Marian Longa, João F. Henriques
Main Conference Track
Atlas3D: Physically Constrained Self-Supporting Text-to-3D for Simulation and Fabrication Yunuo Chen, Tianyi Xie, Zeshun Zong, Xuan Li, Feng Gao, Yin Yang, Ying Nian Wu, Chenfanfu Jiang
Main Conference Track
Self-Consuming Generative Models with Curated Data Provably Optimize Human Preferences Damien Ferbach, Quentin Bertrand, Avishek Joey Bose, Gauthier Gidel
Main Conference Track
SA3DIP: Segment Any 3D Instance with Potential 3D Priors Xi Yang, Xu Gu, Xingyilang Yin, Xinbo Gao
Main Conference Track
CODA: A Correlation-Oriented Disentanglement and Augmentation Modeling Scheme for Better Resisting Subpopulation Shifts Ziquan OU, Zijun ZHANG
Main Conference Track
One-shot Federated Learning via Synthetic Distiller-Distillate Communication Junyuan Zhang, Songhua Liu, Xinchao Wang
Main Conference Track
Conditional Outcome Equivalence: A Quantile Alternative to CATE Josh Givens, Henry W J Reeve, Song Liu, Katarzyna Reluga
Main Conference Track
Generate Universal Adversarial Perturbations for Few-Shot Learning Yiman Hu, Yixiong Zou, Ruixuan Li, Yuhua Li
Main Conference Track
Super Consistency of Neural Network Landscapes and Learning Rate Transfer Lorenzo Noci, Alexandru Meterez, Thomas Hofmann, Antonio Orvieto
Main Conference Track
Integrating Suboptimal Human Knowledge with Hierarchical Reinforcement Learning for Large-Scale Multiagent Systems Dingbang Liu, Shohei Kato, Wen Gu, Fenghui Ren, Jun Yan, Guoxin Su
Main Conference Track
Distribution-Aware Data Expansion with Diffusion Models Haowei Zhu, Ling Yang, Jun-Hai Yong, Hongzhi Yin, Jiawei Jiang, Meng Xiao, Wentao Zhang, Bin Wang
Main Conference Track
Identifiability Guarantees for Causal Disentanglement from Purely Observational Data Ryan Welch, Jiaqi Zhang, Caroline Uhler
Main Conference Track
Visual Decoding and Reconstruction via EEG Embeddings with Guided Diffusion Dongyang Li, Chen Wei, Shiying Li, Jiachen Zou, Quanying Liu
Main Conference Track
CIFD: Controlled Information Flow to Enhance Knowledge Distillation Yashas Malur Saidutta, Rakshith S Srinivasa, Jaejin Cho, Ching-Hua Lee, Chouchang Yang, Yilin Shen, Hongxia Jin
Main Conference Track
Seeing Beyond the Crop: Using Language Priors for Out-of-Bounding Box Keypoint Prediction Bavesh Balaji, Jerrin Bright, Yuhao Chen, Sirisha Rambhatla, John S. Zelek, David Anthony Clausi
Main Conference Track
LFME: A Simple Framework for Learning from Multiple Experts in Domain Generalization Liang Chen, Yong Zhang, Yibing Song, Zhiqiang Shen, Lingqiao Liu
Main Conference Track
HaloScope: Harnessing Unlabeled LLM Generations for Hallucination Detection Xuefeng Du, Chaowei Xiao, Yixuan Li
Main Conference Track
CRONOS: Enhancing Deep Learning with Scalable GPU Accelerated Convex Neural Networks Miria Feng, Zachary Frangella, Mert Pilanci
Main Conference Track
Trading off Consistency and Dimensionality of Convex Surrogates for Multiclass Classification Enrique Nueve, Bo Waggoner, Dhamma Kimpara, Jessie Finocchiaro
Main Conference Track
VMamba: Visual State Space Model Yue Liu, Yunjie Tian, Yuzhong Zhao, Hongtian Yu, Lingxi Xie, Yaowei Wang, Qixiang Ye, Jianbin Jiao, Yunfan Liu
Main Conference Track
APDDv2: Aesthetics of Paintings and Drawings Dataset with Artist Labeled Scores and Comments Xin Jin, Qianqian Qiao, Yi Lu, Huaye Wang, Heng Huang, Shan Gao, Jianfei Liu, Rui Li
Datasets and Benchmarks Track
CSPG: Crossing Sparse Proximity Graphs for Approximate Nearest Neighbor Search Ming Yang, Yuzheng Cai, Weiguo Zheng
Main Conference Track
Graph-based Unsupervised Disentangled Representation Learning via Multimodal Large Language Models Baao Xie, Qiuyu Chen, Yunnan Wang, Zequn Zhang, Xin Jin, Wenjun Zeng
Main Conference Track
Simplified and Generalized Masked Diffusion for Discrete Data Jiaxin Shi, Kehang Han, Zhe Wang, Arnaud Doucet, Michalis K. Titsias
Main Conference Track
NeuRodin: A Two-stage Framework for High-Fidelity Neural Surface Reconstruction Yifan Wang, Di Huang, Weicai Ye, Guofeng Zhang, Wanli Ouyang, Tong He
Main Conference Track
On the Complexity of Learning Sparse Functions with Statistical and Gradient Queries Nirmit Joshi, Theodor Misiakiewicz, Nathan Srebro
Main Conference Track
$\texttt{ConflictBank}$: A Benchmark for Evaluating the Influence of Knowledge Conflicts in LLMs Zhaochen Su, Jun Zhang, Xiaoye Qu, Tong Zhu, Yanshu Li, Jiashuo Sun, Juntao Li, Min Zhang, Yu Cheng
Datasets and Benchmarks Track
Direct Consistency Optimization for Robust Customization of Text-to-Image Diffusion models Kyungmin Lee, Sangkyung Kwak, Kihyuk Sohn, Jinwoo Shin
Main Conference Track
MoVA: Adapting Mixture of Vision Experts to Multimodal Context Zhuofan Zong, Bingqi Ma, Dazhong Shen, Guanglu Song, Hao Shao, Dongzhi Jiang, Hongsheng Li, Yu Liu
Main Conference Track
Wild-GS: Real-Time Novel View Synthesis from Unconstrained Photo Collections Jiacong Xu, Yiqun Mei, Vishal M. Patel
Main Conference Track
Saliency-driven Experience Replay for Continual Learning Giovanni Bellitto, Federica Proietto Salanitri, Matteo Pennisi, Matteo Boschini, Lorenzo Bonicelli, Angelo Porrello, Simone Calderara, Simone Palazzo, Concetto Spampinato
Main Conference Track
Schrodinger Bridge Flow for Unpaired Data Translation Valentin De Bortoli, Iryna Korshunova, Andriy Mnih, Arnaud Doucet
Main Conference Track
Distributed-Order Fractional Graph Operating Network Kai Zhao, Xuhao Li, Qiyu Kang, Feng Ji, Qinxu Ding, Yanan Zhao, Wenfei Liang, Wee Peng Tay
Main Conference Track
Convergence Analysis of Split Federated Learning on Heterogeneous Data Pengchao Han, Chao Huang, Geng Tian, Ming Tang, Xin Liu
Main Conference Track
From Dictionary to Tensor: A Scalable Multi-View Subspace Clustering Framework with Triple Information Enhancement Zhibin Gu, Songhe Feng
Main Conference Track
DA-Ada: Learning Domain-Aware Adapter for Domain Adaptive Object Detection Haochen Li, Rui Zhang, Hantao Yao, Xin Zhang, Yifan Hao, Xinkai Song, Xiaqing Li, Yongwei Zhao, Ling Li, Yunji Chen
Main Conference Track
SF-V: Single Forward Video Generation Model Zhixing Zhang, Yanyu Li, Yushu Wu, Yanwu Xu, Anil Kag, Ivan Skorokhodov, Willi Menapace, Aliaksandr Siarohin, Junli Cao, Dimitris Metaxas, Sergey Tulyakov, Jian Ren
Main Conference Track
Private Attribute Inference from Images with Vision-Language Models Batuhan Tömekçe, Mark Vero, Robin Staab, Martin Vechev
Main Conference Track
OPERA: Automatic Offline Policy Evaluation with Re-weighted Aggregates of Multiple Estimators Allen Nie, Yash Chandak, Christina J. Yuan, Anirudhan Badrinath, Yannis Flet-Berliac, Emma Brunskill
Main Conference Track
DiffuBox: Refining 3D Object Detection with Point Diffusion Xiangyu Chen, Zhenzhen Liu, Katie Z Luo, Siddhartha Datta, Adhitya Polavaram, Yan Wang, Yurong You, Boyi Li, Marco Pavone, Wei-Lun Chao, Mark Campbell, Bharath Hariharan, Kilian Q. Weinberger
Main Conference Track
Learning to Predict Structural Vibrations Jan van Delden, Julius Schultz, Christopher Blech, Sabine C. Langer, Timo Lüddecke
Main Conference Track
Infer Induced Sentiment of Comment Response to Video: A New Task, Dataset and Baseline Qi Jia, Baoyu Fan, Cong Xu, Lu Liu, Liang Jin, Guoguang Du, Zhenhua Guo, Yaqian Zhao, Xuanjing Huang, Rengang Li
Datasets and Benchmarks Track
Bootstrapping Top-down Information for Self-modulating Slot Attention Dongwon Kim, Seoyeon Kim, Suha Kwak
Main Conference Track
Reinforcing LLM Agents via Policy Optimization with Action Decomposition Muning Wen, Ziyu Wan, Jun Wang, Weinan Zhang, Ying Wen
Main Conference Track
Cooperative Hardware-Prompt Learning for Snapshot Compressive Imaging Jiamian Wang, Zongliang Wu, Yulun Zhang, Xin Yuan, Tao Lin, Zhiqiang Tao
Main Conference Track
A Framework for Bilevel Optimization on Riemannian Manifolds Andi Han, Bamdev Mishra, Pratik Jawanpuria, Akiko Takeda
Main Conference Track
Mixture of Tokens: Continuous MoE through Cross-Example Aggregation Szymon Antoniak, Michał Krutul, Maciej Pióro, Jakub Krajewski, Jan Ludziejewski, Kamil Ciebiera, Krystian Król, Tomasz Odrzygóźdź, Marek Cygan, Sebastian Jaszczur
Main Conference Track
GENOT: Entropic (Gromov) Wasserstein Flow Matching with Applications to Single-Cell Genomics Dominik Klein, Théo Uscidda, Fabian Theis, Marco Cuturi
Main Conference Track
On the Complexity of Teaching a Family of Linear Behavior Cloning Learners Shubham Bharti, Stephen Wright, Adish Singla, Xiaojin Zhu
Main Conference Track
TrAct: Making First-layer Pre-Activations Trainable Felix Petersen, Christian Borgelt, Stefano Ermon
Main Conference Track
Improving Visual Prompt Tuning by Gaussian Neighborhood Minimization for Long-Tailed Visual Recognition Mengke Li, Ye Liu, Yang Lu, Yiqun Zhang, Yiu-ming Cheung, Hui Huang
Main Conference Track
Fine-Grained Dynamic Framework for Bias-Variance Joint Optimization on Data Missing Not at Random Mingming Ha, Xuewen Tao, Wenfang Lin, Qiongxu Ma, Wujiang Xu, Linxun Chen
Main Conference Track
Pretraining Codomain Attention Neural Operators for Solving Multiphysics PDEs Md Ashiqur Rahman, Robert Joseph George, Mogab Elleithy, Daniel Leibovici, Zongyi Li, Boris Bonev, Colin White, Julius Berner, Raymond A. Yeh, Jean Kossaifi, Kamyar Azizzadenesheli, Anima Anandkumar
Main Conference Track
BiScope: AI-generated Text Detection by Checking Memorization of Preceding Tokens Hanxi Guo, Siyuan Cheng, Xiaolong Jin, Zhuo Zhang, Kaiyuan Zhang, Guanhong Tao, Guangyu Shen, Xiangyu Zhang
Main Conference Track
Principled Bayesian Optimization in Collaboration with Human Experts Wenjie Xu, Masaki Adachi, Colin N. Jones, Michael A. Osborne
Main Conference Track
SeeA*: Efficient Exploration-Enhanced A* Search by Selective Sampling Dengwei Zhao, Shikui Tu, Lei Xu
Main Conference Track
Optimal Flow Matching: Learning Straight Trajectories in Just One Step Nikita Kornilov, Petr Mokrov, Alexander Gasnikov, Alexander Korotin
Main Conference Track
Logical characterizations of recurrent graph neural networks with reals and floats Veeti Ahvonen, Damian Heiman, Antti Kuusisto, Carsten Lutz
Main Conference Track
In-Context Symmetries: Self-Supervised Learning through Contextual World Models Sharut Gupta, Chenyu Wang, Yifei Wang, Tommi Jaakkola, Stefanie Jegelka
Main Conference Track
Efficient Federated Learning against Heterogeneous and Non-stationary Client Unavailability Ming Xiang, Stratis Ioannidis, Edmund Yeh, Carlee Joe-Wong, Lili Su
Main Conference Track
RFLPA: A Robust Federated Learning Framework against Poisoning Attacks with Secure Aggregation Peihua Mai, Ran Yan, Yan Pang
Main Conference Track
Algorithmic Capabilities of Random Transformers Ziqian Zhong, Jacob Andreas
Main Conference Track
Markovian Flow Matching: Accelerating MCMC with Continuous Normalizing Flows Alberto Cabezas, Louis Sharrock, Christopher Nemeth
Main Conference Track
Distributional Preference Alignment of LLMs via Optimal Transport Igor Melnyk, Youssef Mroueh, Brian Belgodere, Mattia Rigotti, Apoorva Nitsure, Mikhail Yurochkin, Kristjan Greenewald, Jiri Navratil, Jarret Ross
Main Conference Track
Probabilistic Decomposed Linear Dynamical Systems for Robust Discovery of Latent Neural Dynamics Yenho Chen, Noga Mudrik, Kyle A. Johnsen, Sankaraleengam Alagapan, Adam S. Charles, Christopher J. Rozell
Main Conference Track
Stepwise Alignment for Constrained Language Model Policy Optimization Akifumi Wachi, Thien Q. Tran, Rei Sato, Takumi Tanabe, Youhei Akimoto
Main Conference Track
Lisa: Lazy Safety Alignment for Large Language Models against Harmful Fine-tuning Attack Tiansheng Huang, Sihao Hu, Fatih Ilhan, Selim Furkan Tekin, Ling Liu
Main Conference Track
Towards Estimating Bounds on the Effect of Policies under Unobserved Confounding Alexis Bellot, Silvia Chiappa
Main Conference Track
Carrot and Stick: Eliciting Comparison Data and Beyond Yiling Chen, Shi Feng, Fang-Yi Yu
Main Conference Track
Dimension-free deterministic equivalents and scaling laws for random feature regression Leonardo Defilippis, Bruno Loureiro, Theodor Misiakiewicz
Main Conference Track
M3LEO: A Multi-Modal, Multi-Label Earth Observation Dataset Integrating Interferometric SAR and Multispectral Data Matt Allen, Francisco Dorr, Joseph A. Gallego-Mejia, Laura Martínez-Ferrer, Anna Jungbluth, Freddie Kalaitzis, Raúl Ramos-Pollán
Datasets and Benchmarks Track
Metric from Human: Zero-shot Monocular Metric Depth Estimation via Test-time Adaptation Yizhou Zhao, Hengwei Bian, Kaihua Chen, Pengliang Ji, Liao Qu, Shao-yu Lin, Weichen Yu, Haoran Li, Hao Chen, Jun Shen, Bhiksha Raj, Min Xu
Main Conference Track
Universal Neural Functionals Allan Zhou, Chelsea Finn, James Harrison
Main Conference Track
NovoBench: Benchmarking Deep Learning-based \emph{De Novo} Sequencing Methods in Proteomics Jingbo Zhou, Shaorong Chen, Jun Xia, Sizhe Liu, Tianze Ling, Wenjie Du, Yue Liu, Jianwei Yin, Stan Z. Li
Datasets and Benchmarks Track
GVKF: Gaussian Voxel Kernel Functions for Highly Efficient Surface Reconstruction in Open Scenes Gaochao Song, Chong Cheng, Hao Wang
Main Conference Track
LCM: Locally Constrained Compact Point Cloud Model for Masked Point Modeling Yaohua Zha, Naiqi Li, Yanzi Wang, Tao Dai, Hang Guo, Bin Chen, Zhi Wang, Zhihao Ouyang, Shu-Tao Xia
Main Conference Track
Disentangled Representation Learning in Non-Markovian Causal Systems Adam Li, Yushu Pan, Elias Bareinboim
Main Conference Track
Generalization Analysis for Label-Specific Representation Learning Yi-Fan Zhang, Min-Ling Zhang
Main Conference Track
GOMAA-Geo: GOal Modality Agnostic Active Geo-localization Anindya Sarkar, Srikumar Sastry, Aleksis Pirinen, Chongjie Zhang, Nathan Jacobs, Yevgeniy Vorobeychik
Main Conference Track
PURE: Prompt Evolution with Graph ODE for Out-of-distribution Fluid Dynamics Modeling Hao Wu, Changhu Wang, Fan Xu, Jinbao Xue, Chong Chen, Xian-Sheng Hua, Xiao Luo
Main Conference Track
Reconstruction Attacks on Machine Unlearning: Simple Models are Vulnerable Martin Bertran, Shuai Tang, Michael Kearns, Jamie Morgenstern, Aaron Roth, Zhiwei Steven Wu
Main Conference Track
Consistency Purification: Effective and Efficient Diffusion Purification towards Certified Robustness Yiquan Li, Zhongzhu Chen, Kun Jin, Jiongxiao Wang, Jiachen Lei, Bo Li, Chaowei Xiao
Main Conference Track
Quantifying Aleatoric Uncertainty of the Treatment Effect: A Novel Orthogonal Learner Valentyn Melnychuk, Stefan Feuerriegel, Mihaela van der Schaar
Main Conference Track
FAST: A Dual-tier Few-Shot Learning Paradigm for Whole Slide Image Classification Kexue Fu, Xiaoyuan Luo, Linhao Qu, Shuo Wang, Ying Xiong, Ilias Maglogiannis, Longxiang Gao, Manning Wang
Main Conference Track
Mutual Information Estimation via $f$-Divergence and Data Derangements Nunzio A. Letizia, Nicola Novello, Andrea M. Tonello
Main Conference Track
Synthetic Programming Elicitation for Text-to-Code in Very Low-Resource Programming and Formal Languages Federico Mora, Justin Wong, Haley Lepe, Sahil Bhatia, Karim Elmaaroufi, George Varghese, Joseph E. González, Elizabeth Polgreen, Sanjit A. Seshia
Main Conference Track
Coarse-to-Fine Concept Bottleneck Models Konstantinos P. Panousis, Dino Ienco, Diego Marcos
Main Conference Track
TAIA: Large Language Models are Out-of-Distribution Data Learners Shuyang Jiang, Yusheng Liao, Ya Zhang, Yanfeng Wang, Yu Wang
Main Conference Track
The PRISM Alignment Dataset: What Participatory, Representative and Individualised Human Feedback Reveals About the Subjective and Multicultural Alignment of Large Language Models Hannah Rose Kirk, Alexander Whitefield, Paul Röttger, Andrew Bean, Katerina Margatina, Juan Ciro, Rafael Mosquera, Max Bartolo, Adina Williams, He He, Bertie Vidgen, Scott A. Hale
Datasets and Benchmarks Track
Diffusion of Thought: Chain-of-Thought Reasoning in Diffusion Language Models Jiacheng Ye, Shansan Gong, Liheng Chen, Lin Zheng, Jiahui Gao, Han Shi, Chuan Wu, Xin Jiang, Zhenguo Li, Wei Bi, Lingpeng Kong
Main Conference Track
A Polar coordinate system represents syntax in large language models Pablo Diego-Simón, Stéphane D'Ascoli, Emmanuel Chemla, Yair Lakretz, Jean-Rémi King
Main Conference Track
InterControl: Zero-shot Human Interaction Generation by Controlling Every Joint Zhenzhi Wang, Jingbo Wang, Yixuan Li, Dahua Lin, Bo Dai
Main Conference Track
Large Language Model Unlearning Yuanshun Yao, Xiaojun Xu, YangLiu
Main Conference Track
Toward Approaches to Scalability in 3D Human Pose Estimation Jun-Hee Kim, Seong-Whan Lee
Main Conference Track
Boosting Semi-Supervised Scene Text Recognition via Viewing and Summarizing Yadong Qu, Yuxin Wang, Bangbang Zhou, Zixiao Wang, Hongtao Xie, Yongdong Zhang
Main Conference Track
Self-Labeling the Job Shop Scheduling Problem Andrea Corsini, Angelo Porrello, Simone Calderara, Mauro Dell'Amico
Main Conference Track
E-Motion: Future Motion Simulation via Event Sequence Diffusion Song Wu, Zhiyu Zhu, Junhui Hou, Guangming Shi, Jinjian Wu
Main Conference Track
Multi-Reward Best Policy Identification Alessio Russo, Filippo Vannella
Main Conference Track
SkipPredict: When to Invest in Predictions for Scheduling Rana Shahout, Michael Mitzenmacher
Main Conference Track
SCOREQ: Speech Quality Assessment with Contrastive Regression Alessandro Ragano, Jan Skoglund, Andrew Hines
Main Conference Track
Diffusion Models With Learned Adaptive Noise Subham Sekhar Sahoo, Aaron Gokaslan, Chris De Sa, Volodymyr Kuleshov
Main Conference Track
Fair Bilevel Neural Network (FairBiNN): On Balancing fairness and accuracy via Stackelberg Equilibrium Mehdi Yazdani-Jahromi, Ali Khodabandeh Yalabadi, AmirArsalan Rajabi, Aida Tayebi, Ivan Garibay, Ozlem Ozmen Garibay
Main Conference Track
Ask, Attend, Attack: An Effective Decision-Based Black-Box Targeted Attack for Image-to-Text Models Qingyuan Zeng, Zhenzhong Wang, Yiu-ming Cheung, Min Jiang
Main Conference Track
Lean Workbook: A large-scale Lean problem set formalized from natural language math problems Huaiyuan Ying, Zijian Wu, Yihan Geng, Jiayu Wang, Dahua Lin, Kai Chen
Datasets and Benchmarks Track
Tight Bounds for Learning RUMs from Small Slates Flavio Chierichetti, Mirko Giacchini, Ravi Kumar, Alessandro Panconesi, Andrew Tomkins
Main Conference Track
On the Computational Landscape of Replicable Learning Alkis Kalavasis, Amin Karbasi, Grigoris Velegkas, Felix Zhou
Main Conference Track
SILENCE: Protecting privacy in offloaded speech understanding on resource-constrained devices Dongqi Cai, Shangguang Wang, Zeling Zhang, Felix Xiaozhu Lin, Mengwei Xu
Main Conference Track
Frozen-DETR: Enhancing DETR with Image Understanding from Frozen Foundation Models Shenghao Fu, Junkai Yan, Qize Yang, Xihan Wei, Xiaohua Xie, Wei-Shi Zheng
Main Conference Track
Hierarchical Visual Feature Aggregation for OCR-Free Document Understanding Jaeyoo Park, Jin Young Choi, Jeonghyung Park, Bohyung Han
Main Conference Track
RealMAN: A Real-Recorded and Annotated Microphone Array Dataset for Dynamic Speech Enhancement and Localization Bing Yang, Changsheng Quan, Yabo Wang, Pengyu Wang, Yujie Yang, Ying Fang, Nian Shao, Hui Bu, Xin Xu, Xiaofei Li
Datasets and Benchmarks Track
Asynchronous Perception Machine for Efficient Test Time Training Rajat Modi, Yogesh Singh Rawat
Main Conference Track
Mixed Dynamics In Linear Networks: Unifying the Lazy and Active Regimes Zhenfeng Tu, Santiago Aranguri, Arthur Jacot
Main Conference Track
Strategic Multi-Armed Bandit Problems Under Debt-Free Reporting Ahmed Ben Yahmed, Clément Calauzènes, Vianney Perchet
Main Conference Track
Elo Uncovered: Robustness and Best Practices in Language Model Evaluation Meriem Boubdir, Edward Kim, Beyza Ermis, Sara Hooker, Marzieh Fadaee
Main Conference Track
Task-Agnostic Machine-Learning-Assisted Inference Jiacheng Miao, Qiongshi Lu
Main Conference Track
RedCode: Risky Code Execution and Generation Benchmark for Code Agents Chengquan Guo, Xun Liu, Chulin Xie, Andy Zhou, Yi Zeng, Zinan Lin, Dawn Song, Bo Li
Datasets and Benchmarks Track
Asymptotics of Alpha-Divergence Variational Inference Algorithms with Exponential Families François Bertholom, Randal Douc, François Roueff
Main Conference Track
Rough Transformers: Lightweight and Continuous Time Series Modelling through Signature Patching Fernando Moreno-Pino, Álvaro Arroyo, Harrison Waldon, Xiaowen Dong, Álvaro Cartea
Main Conference Track
Neuronal Competition Groups with Supervised STDP for Spike-Based Classification Gaspard Goupy, Pierre Tirilly, Ioan Marius Bilasco
Main Conference Track
CycleNet: Enhancing Time Series Forecasting through Modeling Periodic Patterns Shengsheng Lin, Weiwei Lin, Xinyi Hu, Wentai Wu, Ruichao Mo, Haocheng Zhong
Main Conference Track
UniAR: A Unified model for predicting human Attention and Responses on visual content Peizhao Li, Junfeng He, Gang Li, Rachit Bhargava, Shaolei Shen, Nachiappan Valliappan, Youwei Liang, Hongxiang Gu, Venky Ramachandran, Golnaz Farhadi, Yang Li, Kai J Kohlhoff, Vidhya Navalpakkam
Main Conference Track
Vocal Call Locator Benchmark (VCL) for localizing rodent vocalizations from multi-channel audio Ralph E Peterson, Aramis Tanelus, Christopher Ick, Bartul Mimica, Niegil Francis, Violet J Ivan, Aman Choudhri, Annegret L Falkner, Mala Murthy, David M Schneider, Dan H Sanes, Alex H Williams
Datasets and Benchmarks Track
Visual Data Diagnosis and Debiasing with Concept Graphs Rwiddhi Chakraborty, Yinong (Oliver) Wang, Jialu Gao, Runkai Zheng, Cheng Zhang, Fernando De la Torre
Main Conference Track
Mitigating Biases in Blackbox Feature Extractors for Image Classification Tasks Abhipsa Basu, Saswat Subhajyoti Mallick, R. Venkatesh Babu
Main Conference Track
Normalization and effective learning rates in reinforcement learning Clare Lyle, Zeyu Zheng, Khimya Khetarpal, James Martens, Hado van Hasselt, Razvan Pascanu, Will Dabney
Main Conference Track
No Filter: Cultural and Socioeconomic Diversity in Contrastive Vision-Language Models Angéline Pouget, Lucas Beyer, Emanuele Bugliarello, Xiao Wang, Andreas Peter Steiner, Xiaohua Zhai, Ibrahim Alabdulmohsin
Main Conference Track
Learning Optimal Lattice Vector Quantizers for End-to-end Neural Image Compression Xi Zhang, Xiaolin Wu
Main Conference Track
BABILong: Testing the Limits of LLMs with Long Context Reasoning-in-a-Haystack Yuri Kuratov, Aydar Bulatov, Petr Anokhin, Ivan Rodkin, Dmitry Sorokin, Artyom Sorokin, Mikhail Burtsev
Datasets and Benchmarks Track
Advancing Tool-Augmented Large Language Models: Integrating Insights from Errors in Inference Trees Sijia Chen, Yibo Wang, Yi-Feng Wu, Qing-Guo Chen, Zhao Xu, Weihua Luo, Kaifu Zhang, Lijun Zhang
Main Conference Track
DeMo: Decoupling Motion Forecasting into Directional Intentions and Dynamic States Bozhou Zhang, Nan Song, Li Zhang
Main Conference Track
EgoSim: An Egocentric Multi-view Simulator and Real Dataset for Body-worn Cameras during Motion and Activity Dominik Hollidt, Paul Streli, Jiaxi Jiang, Yasaman Haghighi, Changlin Qian, Xintong Liu, Christian Holz
Datasets and Benchmarks Track
NetworkGym: Reinforcement Learning Environments for Multi-Access Traffic Management in Network Simulation Momin Haider, Ming Yin, Menglei Zhang, Arpit Gupta, Jing Zhu, Yu-Xiang Wang
Datasets and Benchmarks Track
SS3DM: Benchmarking Street-View Surface Reconstruction with a Synthetic 3D Mesh Dataset Yubin Hu, Kairui Wen, Heng Zhou, Xiaoyang Guo, Yong-Jin Liu
Datasets and Benchmarks Track
Transformers are Minimax Optimal Nonparametric In-Context Learners Juno Kim, Tai Nakamaki, Taiji Suzuki
Main Conference Track
Robustly overfitting latents for flexible neural image compression Yura Perugachi-Diaz, Arwin Gansekoele, Sandjai Bhulai
Main Conference Track
CoSW: Conditional Sample Weighting for Smoke Segmentation with Label Noise Lujian Yao, Haitao Zhao, Zhongze Wang, Kaijie Zhao, Jingchao Peng
Main Conference Track
SPEAR: Exact Gradient Inversion of Batches in Federated Learning Dimitar I. Dimitrov, Maximilian Baader, Mark Niklas Müller, Martin Vechev
Main Conference Track
Scale Equivariant Graph Metanetworks Ioannis Kalogeropoulos, Giorgos Bouritsas, Yannis Panagakis
Main Conference Track
GFlowNet Assisted Biological Sequence Editing Pouya M. Ghari, Alex M. Tseng, Gökcen Eraslan, Romain Lopez, Tommaso Biancalani, Gabriele Scalia, Ehsan Hajiramezanali
Main Conference Track
Fast Sampling via Discrete Non-Markov Diffusion Models with Predetermined Transition Time Zixiang Chen, Huizhuo Yuan, Yongqian Li, Yiwen Kou, Junkai Zhang, Quanquan Gu
Main Conference Track
DEPrune: Depth-wise Separable Convolution Pruning for Maximizing GPU Parallelism Cheonjun Park, Mincheol Park, Hyunchan Moon, Myung Kuk Yoon, Seokjin Go, Suhyun Kim, Won Woo Ro
Main Conference Track
Online Feature Updates Improve Online (Generalized) Label Shift Adaptation Ruihan Wu, Siddhartha Datta, Yi Su, Dheeraj Baby, Yu-Xiang Wang, Kilian Q. Weinberger
Main Conference Track
Learning from Uncertain Data: From Possible Worlds to Possible Models Jiongli Zhu, Su Feng, Boris Glavic, Babak Salimi
Main Conference Track
Risk-Averse Fine-tuning of Large Language Models Sapana Chaudhary, Ujwal Dinesha, Dileep Kalathil, Srinivas Shakkottai
Main Conference Track
StreamBench: Towards Benchmarking Continuous Improvement of Language Agents Cheng-Kuang Wu, Zhi Rui Tam, Chieh-Yen Lin, Yun-Nung Chen, Hung-yi Lee
Datasets and Benchmarks Track
MVSplat360: Feed-Forward 360 Scene Synthesis from Sparse Views Yuedong Chen, Chuanxia Zheng, Haofei Xu, Bohan Zhuang, Andrea Vedaldi, Tat-Jen Cham, Jianfei Cai
Main Conference Track
Pessimistic Backward Policy for GFlowNets Hyosoon Jang, Yunhui Jang, Minsu Kim, Jinkyoo Park, Sungsoo Ahn
Main Conference Track
SlimGPT: Layer-wise Structured Pruning for Large Language Models Gui Ling, Ziyang Wang, Yuliang Yan, Qingwen Liu
Main Conference Track
Self-Calibrating Conformal Prediction Lars van der Laan, Ahmed M. Alaa
Main Conference Track
Leveraging Hallucinations to Reduce Manual Prompt Dependency in Promptable Segmentation Jian Hu, Jiayi Lin, Junchi Yan, Shaogang Gong
Main Conference Track
Trajectory Flow Matching with Applications to Clinical Time Series Modelling Xi Zhang, Yuan Pu, Yuki Kawamura, Andrew Loza, Yoshua Bengio, Dennis L. Shung, Alexander Tong
Main Conference Track
VFIMamba: Video Frame Interpolation with State Space Models Guozhen Zhang, Chunxu Liu, Yutao Cui, Xiaotong Zhao, Kai Ma, Limin Wang
Main Conference Track
Adaptive Preference Scaling for Reinforcement Learning with Human Feedback Ilgee Hong, Zichong Li, Alexander Bukharin, Yixiao Li, Haoming Jiang, Tianbao Yang, Tuo Zhao
Main Conference Track
Harmony4D: A Video Dataset for In-The-Wild Close Human Interactions Rawal Khirodkar, Jyun-Ting Song, Jinkun Cao, Zhengyi Luo, Kris Kitani
Datasets and Benchmarks Track
Identifying Functionally Important Features with End-to-End Sparse Dictionary Learning Dan Braun, Jordan Taylor, Nicholas Goldowsky-Dill, Lee Sharkey
Main Conference Track
FreeSplat: Generalizable 3D Gaussian Splatting Towards Free View Synthesis of Indoor Scenes Yunsong Wang, Tianxin Huang, Hanlin Chen, Gim Hee Lee
Main Conference Track
ManiPose: Manifold-Constrained Multi-Hypothesis 3D Human Pose Estimation Cédric Rommel, Victor Letzelter, Nermin Samet, Renaud Marlet, Matthieu Cord, Patrick Pérez, Eduardo Valle
Main Conference Track
Improving Gloss-free Sign Language Translation by Reducing Representation Density Jinhui Ye, Xing Wang, Wenxiang Jiao, Junwei Liang, Hui Xiong
Main Conference Track
GFT: Graph Foundation Model with Transferable Tree Vocabulary Zehong Wang, Zheyuan Zhang, Nitesh V Chawla, Chuxu Zhang, Yanfang Ye
Main Conference Track
RankUp: Boosting Semi-Supervised Regression with an Auxiliary Ranking Classifier Pin-Yen Huang, Szu-Wei Fu, Yu Tsao
Main Conference Track
UniMTS: Unified Pre-training for Motion Time Series Xiyuan Zhang, Diyan Teng, Ranak Roy Chowdhury, Shuheng Li, Dezhi Hong, Rajesh K. Gupta, Jingbo Shang
Main Conference Track
Remix-DiT: Mixing Diffusion Transformers for Multi-Expert Denoising Gongfan Fang, Xinyin Ma, Xinchao Wang
Main Conference Track
Energy-Guided Continuous Entropic Barycenter Estimation for General Costs Alexander Kolesov, Petr Mokrov, Igor Udovichenko, Milena Gazdieva, Gudmund Pammer, Anastasis Kratsios, Evgeny Burnaev, Alexander Korotin
Main Conference Track
xLSTM: Extended Long Short-Term Memory Maximilian Beck, Korbinian Pöppel, Markus Spanring, Andreas Auer, Oleksandra Prudnikova, Michael Kopp, Günter Klambauer, Johannes Brandstetter, Sepp Hochreiter
Main Conference Track
Causal Deciphering and Inpainting in Spatio-Temporal Dynamics via Diffusion Model Yifan Duan, Jian Zhao, pengcheng, Junyuan Mao, Hao Wu, Jingyu Xu, Shilong Wang, Caoyuan Ma, Kai Wang, Kun Wang, Xuelong Li
Main Conference Track
Towards Flexible Visual Relationship Segmentation Fangrui Zhu, Jianwei Yang, Huaizu Jiang
Main Conference Track
Leveraging Drift to Improve Sample Complexity of Variance Exploding Diffusion Models Ruofeng Yang, Zhijie Wang, Bo Jiang, Shuai Li
Main Conference Track
Spider2-V: How Far Are Multimodal Agents From Automating Data Science and Engineering Workflows? Ruisheng Cao, Fangyu Lei, Haoyuan Wu, Jixuan Chen, Yeqiao Fu, Hongcheng Gao, Xinzhuang Xiong, Hanchong Zhang, Yuchen Mao, Wenjing Hu, Tianbao Xie, Hongshen Xu, Danyang Zhang, Sida Wang, Ruoxi Sun, Pengcheng Yin, Caiming Xiong, Ansong Ni, Qian Liu, Victor Zhong, Lu Chen, Kai Yu, Tao Yu
Datasets and Benchmarks Track
How Does Black-Box Impact the Learning Guarantee of Stochastic Compositional Optimization? Jun Chen, Hong Chen, Bin Gu
Main Conference Track
VisMin: Visual Minimal-Change Understanding Rabiul Awal, Saba Ahmadi, Le Zhang, Aishwarya Agrawal
Main Conference Track
Are Uncertainty Quantification Capabilities of Evidential Deep Learning a Mirage? Maohao Shen, J. Jon Ryu, Soumya Ghosh, Yuheng Bu, Prasanna Sattigeri, Subhro Das, Gregory W. Wornell
Main Conference Track
D-MiSo: Editing Dynamic 3D Scenes using Multi-Gaussians Soup Joanna Waczyńska, Piotr Borycki, Joanna Kaleta, Sławomir Tadeja, Przemysław Spurek
Main Conference Track
Compositional PAC-Bayes: Generalization of GNNs with persistence and beyond Kirill Brilliantov, Amauri H. Souza, Vikas Garg
Main Conference Track
Fast Channel Simulation via Error-Correcting Codes Sharang M. Sriramu, Rochelle Barsz, Elizabeth Polito, Aaron B. Wagner
Main Conference Track
Score-Optimal Diffusion Schedules Christopher Williams, Andrew Campbell, Arnaud Doucet, Saifuddin Syed
Main Conference Track
YOLOv10: Real-Time End-to-End Object Detection Ao Wang, Hui Chen, Lihao Liu, Kai Chen, Zijia Lin, Jungong Han, Guiguang Ding
Main Conference Track
Transformers Can Do Arithmetic with the Right Embeddings Sean McLeish, Arpit Bansal, Alex Stein, Neel Jain, John Kirchenbauer, Brian R. Bartoldson, Bhavya Kailkhura, Abhinav Bhatele, Jonas Geiping, Avi Schwarzschild, Tom Goldstein
Main Conference Track
Consent in Crisis: The Rapid Decline of the AI Data Commons Shayne Longpre, Robert Mahari, Ariel Lee, Campbell Lund, Hamidah Oderinwale, William Brannon, Nayan Saxena, Naana Obeng-Marnu, Tobin South, Cole Hunter, Kevin Klyman, Christopher Klamm, Hailey Schoelkopf, Nikhil Singh, Manuel Cherep, Ahmad Mustafa Anis, An Dinh, Caroline Chitongo, Da Yin, Damien Sileo, Deividas Mataciunas, Diganta Misra, Emad Alghamdi, Enrico Shippole, Jianguo Zhang, Joanna Materzynska, Kun Qian, Kush Tiwary, Lester Miranda, Manan Dey, Minnie Liang, Mohammed Hamdy, Niklas Muennighoff, Seonghyeon Ye, Seungone Kim, Shrestha Mohanty, Vipul Gupta, Vivek Sharma, Vu Minh Chien, Xuhui Zhou, Yizhi Li, Caiming Xiong, Luis Villa, Stella Biderman, Hanlin Li, Daphne Ippolito, Sara Hooker, Jad Kabbara, Sandy Pentland
Datasets and Benchmarks Track
Accelerating Nash Equilibrium Convergence in Monte Carlo Settings Through Counterfactual Value Based Fictitious Play Ju Qi, Hei Falin, Feng Ting, Yi Dengbing, Fang Zhemei, Luo Yunfeng
Main Conference Track
Image Textualization: An Automatic Framework for Generating Rich and Detailed Image Descriptions Renjie Pi, Jianshu Zhang, Jipeng Zhang, Rui Pan, Zhekai Chen, Tong Zhang
Datasets and Benchmarks Track
Hierarchical Hybrid Sliced Wasserstein: A Scalable Metric for Heterogeneous Joint Distributions Khai Nguyen, Nhat Ho
Main Conference Track
Optimistic Critic Reconstruction and Constrained Fine-Tuning for General Offline-to-Online RL Qin-Wen Luo, Ming-Kun Xie, Ye-Wen Wang, Sheng-Jun Huang
Main Conference Track
Vision-Language Navigation with Energy-Based Policy Rui Liu, Wenguan Wang, Yi Yang
Main Conference Track
The Elephant in the Room: Towards A Reliable Time-Series Anomaly Detection Benchmark Qinghua Liu, John Paparrizos
Datasets and Benchmarks Track
The Limits of Transfer Reinforcement Learning with Latent Low-rank Structure Tyler Sam, Yudong Chen, Christina Lee Yu
Main Conference Track
Deep Learning in Medical Image Registration: Magic or Mirage? Rohit Jena, Deeksha Sethi, Pratik Chaudhari, James C. Gee
Main Conference Track
In-and-Out: Algorithmic Diffusion for Sampling Convex Bodies Yunbum Kook, Santosh S. Vempala, Matthew S. Zhang
Main Conference Track
Memorize What Matters: Emergent Scene Decomposition from Multitraverse Yiming Li, Zehong Wang, Yue Wang, Zhiding Yu, Zan Gojcic, Marco Pavone, Chen Feng, Jose M. Alvarez
Main Conference Track
Retrieval & Fine-Tuning for In-Context Tabular Models Valentin Thomas, Junwei Ma, Rasa Hosseinzadeh, Keyvan Golestan, Guangwei Yu, Maksims Volkovs, Anthony Caterini
Main Conference Track
The Minimax Rate of HSIC Estimation for Translation-Invariant Kernels Florian Kalinke, Zoltán Szabó
Main Conference Track
DDN: Dual-domain Dynamic Normalization for Non-stationary Time Series Forecasting Tao Dai, Beiliang Wu, Peiyuan Liu, Naiqi Li, Xue Yuerong, Shu-Tao Xia, Zexuan Zhu
Main Conference Track
Active Set Ordering Quoc Phong Nguyen, Sunil Gupta, Svetha Venkatesh, Bryan Kian Hsiang Low, Patrick Jaillet
Main Conference Track
Learning Elastic Costs to Shape Monge Displacements Michal Klein, Aram-Alexandre Pooladian, Pierre Ablin, Eugène Ndiaye, Jonathan Niles-Weed, Marco Cuturi
Main Conference Track
Learning General Parameterized Policies for Infinite Horizon Average Reward Constrained MDPs via Primal-Dual Policy Gradient Algorithm Qinbo Bai, Washim Uddin Mondal, Vaneet Aggarwal
Main Conference Track
Neural decoding from stereotactic EEG: accounting for electrode variability across subjects Georgios Mentzelopoulos, Evangelos Chatzipantazis, Ashwin G. Ramayya, Michelle J. Hedlund, Vivek P. Buch, Kostas Daniilidis, Konrad P. Kording, Flavia Vitale
Main Conference Track
CRT-Fusion: Camera, Radar, Temporal Fusion Using Motion Information for 3D Object Detection Jisong Kim, Minjae Seong, Jun Won Choi
Main Conference Track
Transformation-Invariant Learning and Theoretical Guarantees for OOD Generalization Omar Montasser, Han Shao, Emmanuel Abbe
Main Conference Track
BetterDepth: Plug-and-Play Diffusion Refiner for Zero-Shot Monocular Depth Estimation Xiang Zhang, Bingxin Ke, Hayko Riemenschneider, Nando Metzger, Anton Obukhov, Markus Gross, Konrad Schindler, Christopher Schroers
Main Conference Track
Temporal-Difference Learning Using Distributed Error Signals Jonas Guan, Shon Eduard Verch, Claas Voelcker, Ethan C. Jackson, Nicolas Papernot, William A. Cunningham
Main Conference Track
MATES: Model-Aware Data Selection for Efficient Pretraining with Data Influence Models Zichun Yu, Spandan Das, Chenyan Xiong
Main Conference Track
Conformal Classification with Equalized Coverage for Adaptively Selected Groups Yanfei Zhou, Matteo Sesia
Main Conference Track
MARPLE: A Benchmark for Long-Horizon Inference Emily Jin, Zhuoyi Huang, Jan-Philipp Fränken, Weiyu Liu, Hannah Cha, Erik Brockbank, Sarah Wu, Ruohan Zhang, Jiajun Wu, Tobias Gerstenberg
Datasets and Benchmarks Track
GenRec: Unifying Video Generation and Recognition with Diffusion Models Zejia Weng, Xitong Yang, Zhen Xing, Zuxuan Wu, Yu-Gang Jiang
Main Conference Track
Rule Based Rewards for Language Model Safety Tong Mu, Alec Helyar, Johannes Heidecke, Joshua Achiam, Andrea Vallone, Ian Kivlichan, Molly Lin, Alex Beutel, John Schulman, Lilian Weng
Main Conference Track
Learning Superconductivity from Ordered and Disordered Material Structures Pin Chen, Luoxuan Peng, Rui Jiao, Qing Mo, Zhen Wang, Wenbing Huang, Yang Liu, Yutong Lu
Datasets and Benchmarks Track
Discretely beyond $1/e$: Guided Combinatorial Algortihms for Submodular Maximization Yixin Chen, Ankur Nath, Chunli Peng, Alan Kuhnle
Main Conference Track
Understanding and Improving Training-free Loss-based Diffusion Guidance Yifei Shen, Xinyang Jiang, Yifan Yang, Yezhen Wang, Dongqi Han, Dongsheng Li
Main Conference Track
Nearly Minimax Optimal Regret for Multinomial Logistic Bandit Joongkyu Lee, Min-hwan Oh
Main Conference Track
Partial Structure Discovery is Sufficient for No-regret Learning in Causal Bandits Muhammad Qasim Elahi, Mahsa Ghasemi, Murat Kocaoglu
Main Conference Track
Iteration Head: A Mechanistic Study of Chain-of-Thought Vivien Cabannes, Charles Arnal, Wassim Bouaziz, Alice Yang, Francois Charton, Julia Kempe
Main Conference Track
Causal Inference in the Closed-Loop: Marginal Structural Models for Sequential Excursion Effects Alexander W. Levis, Gabriel Loewinger, Francisco Pereira
Main Conference Track
Rethinking Out-of-Distribution Detection on Imbalanced Data Distribution Kai Liu, Zhihang Fu, Sheng Jin, Chao Chen, Ze Chen, Rongxin Jiang, Fan Zhou, Yaowu Chen, Jieping Ye
Main Conference Track
Mitigating Covariate Shift in Behavioral Cloning via Robust Stationary Distribution Correction Seokin Seo, Byung-Jun Lee, Jongmin Lee, HyeongJoo Hwang, Hongseok Yang, Kee-Eung Kim
Main Conference Track
DeBaRA: Denoising-Based 3D Room Arrangement Generation Léopold Maillard, Nicolas Sereyjol-Garros, Tom Durand, Maks Ovsjanikov
Main Conference Track
Optimal ablation for interpretability Maximilian Li, Lucas Janson
Main Conference Track
Bridging Geometric States via Geometric Diffusion Bridge Shengjie Luo, Yixian Xu, Di He, Shuxin Zheng, Tie-Yan Liu, Liwei Wang
Main Conference Track
Visual Pinwheel Centers Act as Geometric Saliency Detectors Haixin Zhong, Mingyi Huang, Wei P. Dai, Haoyu Wang, Anna Wang Roe, Yuguo Yu
Main Conference Track
Adaptive Layer Sparsity for Large Language Models via Activation Correlation Assessment Wei Li, Lujun Li, Mark Lee, Shengjie Sun
Main Conference Track
Virtual Scanning: Unsupervised Non-line-of-sight Imaging from Irregularly Undersampled Transients Xingyu Cui, Huanjing Yue, Song Li, Xiangjun Yin, Yusen Hou, Yun Meng, Kai Zou, Xiaolong Hu, Jingyu Yang
Main Conference Track
Learning to Edit Visual Programs with Self-Supervision R. Kenny Jones, Renhao Zhang, Aditya Ganeshan, Daniel Ritchie
Main Conference Track
DiffTORI: Differentiable Trajectory Optimization for Deep Reinforcement and Imitation Learning Weikang Wan, Ziyu Wang, Yufei Wang, Zackory Erickson, David Held
Main Conference Track
Amortized Bayesian Experimental Design for Decision-Making Daolang Huang, Yujia Guo, Luigi Acerbi, Samuel Kaski
Main Conference Track
xRAG: Extreme Context Compression for Retrieval-augmented Generation with One Token Xin Cheng, Xun Wang, Xingxing Zhang, Tao Ge, Si-Qing Chen, Furu Wei, Huishuai Zhang, Dongyan Zhao
Main Conference Track
Approximately Pareto-optimal Solutions for Bi-Objective k-Clustering Anna Arutyunova, Jan Eube, Heiko Röglin, Melanie Schmidt, Sarah Sturm, Julian Wargalla
Main Conference Track
Customized Subgraph Selection and Encoding for Drug-drug Interaction Prediction Haotong Du, Quanming Yao, Juzheng Zhang, Yang Liu, Zhen Wang
Main Conference Track
LLM Processes: Numerical Predictive Distributions Conditioned on Natural Language James Requeima, John Bronskill, Dami Choi, Richard E. Turner, David Duvenaud
Main Conference Track
Generalizing Consistency Policy to Visual RL with Prioritized Proximal Experience Regularization Haoran Li, Zhennan Jiang, Yuhui Chen, Dongbin Zhao
Main Conference Track
WikiContradict: A Benchmark for Evaluating LLMs on Real-World Knowledge Conflicts from Wikipedia Yufang Hou, Alessandra Pascale, Javier Carnerero-Cano, Tigran Tchrakian, Radu Marinescu, Elizabeth Daly, Inkit Padhi, Prasanna Sattigeri
Datasets and Benchmarks Track
Elliptical Attention Stefan K. Nielsen, Laziz U. Abdullaev, Rachel S.Y. Teo, Tan M. Nguyen
Main Conference Track
Evaluation of Text-to-Video Generation Models: A Dynamics Perspective Mingxiang Liao, Hannan Lu, Xinyu Zhang, Fang Wan, Tianyu Wang, Yuzhong Zhao, Wangmeng Zuo, Qixiang Ye, Jingdong Wang
Main Conference Track
Nonconvex Federated Learning on Compact Smooth Submanifolds With Heterogeneous Data Jiaojiao Zhang, Jiang Hu, Anthony Man-Cho So, Mikael Johansson
Main Conference Track
Estimating Epistemic and Aleatoric Uncertainty with a Single Model Matthew A. Chan, Maria J. Molina, Christopher A. Metzler
Main Conference Track
LuSh-NeRF: Lighting up and Sharpening NeRFs for Low-light Scenes Zefan Qu, Ke Xu, Gerhard Petrus Hancke, Rynson W.H. Lau
Main Conference Track
IQA-EVAL: Automatic Evaluation of Human-Model Interactive Question Answering Ruosen Li, Ruochen Li, Barry Wang, Xinya Du
Main Conference Track
VideoLLM-MoD: Efficient Video-Language Streaming with Mixture-of-Depths Vision Computation Shiwei Wu, Joya Chen, Kevin Qinghong Lin, Qimeng Wang, Yan Gao, Qianli Xu, Tong Xu, Yao Hu, Enhong Chen, Mike Zheng Shou
Main Conference Track
Finding good policies in average-reward Markov Decision Processes without prior knowledge Adrienne Tuynman, Rémy Degenne, Emilie Kaufmann
Main Conference Track
Con4m: Context-aware Consistency Learning Framework for Segmented Time Series Classification Junru Chen, Tianyu Cao, Jing Xu, Jiahe Li, Zhilong Chen, Tao Xiao, Yang Yang
Main Conference Track
MassSpecGym: A benchmark for the discovery and identification of molecules Roman Bushuiev, Anton Bushuiev, Niek F. de Jonge, Adamo Young, Fleming Kretschmer, Raman Samusevich, Janne Heirman, Fei Wang, Luke Zhang, Kai Dührkop, Marcus Ludwig, Nils A. Haupt, Apurva Kalia, Corinna Brungs, Robin Schmid, Russell Greiner, Bo Wang, David S. Wishart, Li-Ping Liu, Juho Rousu, Wout Bittremieux, Hannes Rost, Tytus D. Mak, Soha Hassoun, Florian Huber, Justin J.J. van der Hooft, Michael A. Stravs, Sebastian Böcker, Josef Sivic, Tomáš Pluskal
Datasets and Benchmarks Track
Diffusion Spectral Representation for Reinforcement Learning Dmitry Shribak, Chen-Xiao Gao, Yitong Li, Chenjun Xiao, Bo Dai
Main Conference Track
Plant-and-Steal: Truthful Fair Allocations via Predictions Ilan Reuven Cohen, Alon Eden, Talya Eden, Arsen Vasilyan
Main Conference Track
Robust Graph Neural Networks via Unbiased Aggregation Zhichao Hou, Ruiqi Feng, Tyler Derr, Xiaorui Liu
Main Conference Track
Bias and Volatility: A Statistical Framework for Evaluating Large Language Model's Stereotypes and the Associated Generation Inconsistency Yiran Liu, Ke Yang, Zehan Qi, Xiao Liu, Yang Yu, ChengXiang Zhai
Datasets and Benchmarks Track
Semantics and Spatiality of Emergent Communication Rotem Ben Zion, Boaz Carmeli, Orr Paradise, Yonatan Belinkov
Main Conference Track
3D Structure Prediction of Atomic Systems with Flow-based Direct Preference Optimization Rui Jiao, Xiangzhe Kong, Wenbing Huang, Yang Liu
Main Conference Track
Knowledge Graph Completion by Intermediate Variables Regularization Changyi Xiao, Yixin Cao
Main Conference Track
Scaling laws for learning with real and surrogate data Ayush Jain, Andrea Montanari, Eren Sasoglu
Main Conference Track
Towards Unified Multimodal Editing with Enhanced Knowledge Collaboration Kaihang Pan, Zhaoyu Fan, Juncheng Li, Qifan Yu, Hao Fei, Siliang Tang, Richang Hong, Hanwang Zhang, Qianru Sun
Main Conference Track
StoryDiffusion: Consistent Self-Attention for Long-Range Image and Video Generation Yupeng Zhou, Daquan Zhou, Ming-Ming Cheng, Jiashi Feng, Qibin Hou
Main Conference Track
Reward Machines for Deep RL in Noisy and Uncertain Environments Andrew C. Li, Zizhao Chen, Toryn Q. Klassen, Pashootan Vaezipoor, Rodrigo Toro Icarte, Sheila A. McIlraith
Main Conference Track
The motion planning neural circuit in goal-directed navigation as Lie group operator search Junfeng Zuo, Ying Nian Wu, Si Wu, Wen-Hao Zhang
Main Conference Track
Trajectory Diffusion for ObjectGoal Navigation Xinyao Yu, Sixian Zhang, Xinhang Song, Xiaorong Qin, Shuqiang Jiang
Main Conference Track
Effective Rank Analysis and Regularization for Enhanced 3D Gaussian Splatting Junha Hyung, Susung Hong, Sungwon Hwang, Jaeseong Lee, Jaegul Choo, Jin-Hwa Kim
Main Conference Track
Generating Origin-Destination Matrices in Neural Spatial Interaction Models Ioannis Zachos, Mark Girolami, Theodoros Damoulas
Main Conference Track
Hamiltonian Score Matching and Generative Flows Peter Holderrieth, Yilun Xu, Tommi Jaakkola
Main Conference Track
RoPINN: Region Optimized Physics-Informed Neural Networks Haixu Wu, Huakun Luo, Yuezhou Ma, Jianmin Wang, Mingsheng Long
Main Conference Track
NeuralClothSim: Neural Deformation Fields Meet the Thin Shell Theory Navami Kairanda, Marc Habermann, Christian Theobalt, Vladislav Golyanik
Main Conference Track
Skill-aware Mutual Information Optimisation for Zero-shot Generalisation in Reinforcement Learning Xuehui Yu, Mhairi Dunion, Xin Li, Stefano V. Albrecht
Main Conference Track
Tri-Level Navigator: LLM-Empowered Tri-Level Learning for Time Series OOD Generalization Chengtao Jian, Kai Yang, Yang Jiao
Main Conference Track
RestoreAgent: Autonomous Image Restoration Agent via Multimodal Large Language Models Haoyu Chen, Wenbo Li, Jinjin Gu, Jingjing Ren, Sixiang Chen, Tian Ye, Renjing Pei, Kaiwen Zhou, Fenglong Song, Lei Zhu
Main Conference Track
How Molecules Impact Cells: Unlocking Contrastive PhenoMolecular Retrieval Philip Fradkin, Puria Azadi, Karush Suri, Frederik Wenkel, Ali Bashashati, Maciej Sypetkowski, Dominique Beaini
Main Conference Track
Aligning Model Properties via Conformal Risk Control William Overman, Jacqueline Jil Vallon, Mohsen Bayati
Main Conference Track
GAVEL: Generating Games via Evolution and Language Models Graham Todd, Alexander G. Padula, Matthew Stephenson, Éric Piette, Dennis J.N.J. Soemers, Julian Togelius
Main Conference Track
SegVol: Universal and Interactive Volumetric Medical Image Segmentation Yuxin Du, Fan Bai, Tiejun Huang, Bo Zhao
Main Conference Track
PowerGraph: A power grid benchmark dataset for graph neural networks Anna Varbella, Kenza Amara, Blazhe Gjorgiev, Mennatallah El-Assady, Giovanni Sansavini
Datasets and Benchmarks Track
Emotion-LLaMA: Multimodal Emotion Recognition and Reasoning with Instruction Tuning Zebang Cheng, Zhi-Qi Cheng, Jun-Yan He, Jingdong Sun, Kai Wang, Yuxiang Lin, Zheng Lian, Xiaojiang Peng, Alexander G. Hauptmann
Main Conference Track
Diffusion4D: Fast Spatial-temporal Consistent 4D generation via Video Diffusion Models Hanwen Liang, Yuyang Yin, Dejia Xu, Hanxue Liang, Zhangyang Wang, Konstantinos N. Plataniotis, Yao Zhao, Yunchao Wei
Main Conference Track
Hydra: Bidirectional State Space Models Through Generalized Matrix Mixers Sukjun Hwang, Aakash Lahoti, Ratish Puduppully, Tri Dao, Albert Gu
Main Conference Track
e-COP : Episodic Constrained Optimization of Policies Akhil Agnihotri, Rahul Jain, Deepak Ramachandran, Sahil Singla
Main Conference Track
Fine-Tuning Large Vision-Language Models as Decision-Making Agents via Reinforcement Learning Yuexiang Zhai, Hao Bai, Zipeng Lin, Jiayi Pan, Shengbang Tong, Yifei Zhou, Alane Suhr, Saining Xie, Yann LeCun, Yi Ma, Sergey Levine
Main Conference Track
RG-SAN: Rule-Guided Spatial Awareness Network for End-to-End 3D Referring Expression Segmentation Changli Wu, Qi Chen, Jiayi Ji, Haowei Wang, Yiwei Ma, You Huang, Gen Luo, Hao Fei, Xiaoshuai Sun, Rongrong Ji
Main Conference Track
Motion Consistency Model: Accelerating Video Diffusion with Disentangled Motion-Appearance Distillation Yuanhao Zhai, Kevin Lin, Zhengyuan Yang, Linjie Li, Jianfeng Wang, Chung-Ching Lin, David Doermann, Junsong Yuan, Lijuan Wang
Main Conference Track
Motion Graph Unleashed: A Novel Approach to Video Prediction Yiqi Zhong, Luming Liang, Bohan Tang, Ilya Zharkov, Ulrich Neumann
Main Conference Track
Hierarchical Selective Classification Shani Goren, Ido Galil, Ran El-Yaniv
Main Conference Track
Reranking Laws for Language Generation: A Communication-Theoretic Perspective António Farinhas, Haau-Sing Li, André F. T. Martins
Main Conference Track
FedLLM-Bench: Realistic Benchmarks for Federated Learning of Large Language Models Rui Ye, Rui Ge, Xinyu Zhu, Jingyi Chai, Yaxin Du, Yang Liu, Yanfeng Wang, Siheng Chen
Datasets and Benchmarks Track
UltraPixel: Advancing Ultra High-Resolution Image Synthesis to New Peaks Jingjing Ren, Wenbo Li, Haoyu Chen, Renjing Pei, Bin Shao, Yong Guo, Long Peng, Fenglong Song, Lei Zhu
Main Conference Track
FlexCap: Describe Anything in Images in Controllable Detail Debidatta Dwibedi, Vidhi Jain, Jonathan Tompson, Andrew Zisserman, Yusuf Aytar
Main Conference Track
Enhancing Semi-Supervised Learning via Representative and Diverse Sample Selection Qian Shao, Jiangrui Kang, Qiyuan Chen, Zepeng Li, Hongxia Xu, Yiwen Cao, Jiajuan Liang, Jian Wu
Main Conference Track
DiffSF: Diffusion Models for Scene Flow Estimation Yushan Zhang, Bastian Wandt, Maria Magnusson, Michael Felsberg
Main Conference Track
Random Function Descent Felix Benning, Leif Döring
Main Conference Track
Proportional Fairness in Clustering: A Social Choice Perspective Leon Kellerhals, Jannik Peters
Main Conference Track
FairMedFM: Fairness Benchmarking for Medical Imaging Foundation Models Ruinan Jin, Zikang Xu, Yuan Zhong, Qingsong Yao, Qi Dou, S. Kevin Zhou, Xiaoxiao Li
Datasets and Benchmarks Track
Unveiling the Hidden: Online Vectorized HD Map Construction with Clip-Level Token Interaction and Propagation Nayeon Kim, Hongje Seong, Daehyun Ji, Sujin Jang
Main Conference Track
GO4Align: Group Optimization for Multi-Task Alignment Jiayi Shen, Qi (Cheems) Wang, Zehao Xiao, Nanne Van Noord, Marcel Worring
Main Conference Track
Toward a Stable, Fair, and Comprehensive Evaluation of Object Hallucination in Large Vision-Language Models Hongliang Wei, Xingtao Wang, Xianqi Zhang, Xiaopeng Fan, Debin Zhao
Main Conference Track
Operator World Models for Reinforcement Learning Pietro Novelli, Marco Pratticò, Massimiliano Pontil, Carlo Ciliberto
Main Conference Track
Non-Euclidean Mixture Model for Social Network Embedding Roshni G. Iyer, Yewen Wang, Wei Wang, Yizhou Sun
Main Conference Track
Stratified Prediction-Powered Inference for Effective Hybrid Evaluation of Language Models Adam Fisch, Joshua Maynez, R. Alex Hofer, Bhuwan Dhingra, Amir Globerson, William W. Cohen
Main Conference Track
Team-Fictitious Play for Reaching Team-Nash Equilibrium in Multi-team Games Ahmed Said Donmez, Yuksel Arslantas, Muhammed O. Sayin
Main Conference Track
WizardArena: Post-training Large Language Models via Simulated Offline Chatbot Arena Haipeng Luo, Qingfeng Sun, Can Xu, Pu Zhao, Qingwei Lin, Jianguang Lou, Shifeng Chen, Yansong Tang, Weizhu Chen
Main Conference Track
Online Control in Population Dynamics Noah Golowich, Elad Hazan, Zhou Lu, Dhruv Rohatgi, Y. Jennifer Sun
Main Conference Track
Linear Causal Representation Learning from Unknown Multi-node Interventions Burak Varıcı, Emre Acartürk, Karthikeyan Shanmugam, Ali Tajer
Main Conference Track
Bayesian Strategic Classification Lee Cohen, Saeed Sharifi-Malvajerdi, Kevin Stang1, Ali Vakilian, Juba Ziani
Main Conference Track
SCaR: Refining Skill Chaining for Long-Horizon Robotic Manipulation via Dual Regularization Zixuan Chen, Ze Ji, Jing Huo, Yang Gao
Main Conference Track
Cooperate or Collapse: Emergence of Sustainable Cooperation in a Society of LLM Agents Giorgio Piatti, Zhijing Jin, Max Kleiman-Weiner, Bernhard Schölkopf, Mrinmaya Sachan, Rada Mihalcea
Main Conference Track
Why Warmup the Learning Rate? Underlying Mechanisms and Improvements Dayal Singh Kalra, Maissam Barkeshli
Main Conference Track
PrivCirNet: Efficient Private Inference via Block Circulant Transformation Tianshi Xu, Lemeng Wu, Runsheng Wang, Meng Li
Main Conference Track
N-agent Ad Hoc Teamwork Caroline Wang, Arrasy Rahman, Ishan Durugkar, Elad Liebman, Peter Stone
Main Conference Track
Prism: A Framework for Decoupling and Assessing the Capabilities of VLMs Yuxuan Qiao, Haodong Duan, Xinyu Fang, Junming Yang, Lin Chen, Songyang Zhang, Jiaqi Wang, Dahua Lin, Kai Chen
Main Conference Track
Sparse-view Pose Estimation and Reconstruction via Analysis by Generative Synthesis Qitao Zhao, Shubham Tulsiani
Main Conference Track
Coded Computing for Resilient Distributed Computing: A Learning-Theoretic Framework Parsa Moradi, Behrooz Tahmasebi, Mohammad Ali Maddah-Ali
Main Conference Track
Meta-Learning Universal Priors Using Non-Injective Change of Variables Yilang Zhang, Alireza Sadeghi, Georgios B. Giannakis
Main Conference Track
SleeperNets: Universal Backdoor Poisoning Attacks Against Reinforcement Learning Agents Ethan Rathbun, Christopher Amato, Alina Oprea
Main Conference Track
Robust Sleep Staging over Incomplete Multimodal Physiological Signals via Contrastive Imagination Qi Shen, Junchang Xin, Bing Tian Dai, Shudi Zhang, Zhiqiong Wang
Main Conference Track
Rethinking the Diffusion Models for Missing Data Imputation: A Gradient Flow Perspective Zhichao Chen, Haoxuan Li, Fangyikang Wang, Odin Zhang, Hu Xu, Xiaoyu Jiang, Zhihuan Song, Hao Wang
Main Conference Track
Efficient Combinatorial Optimization via Heat Diffusion Hengyuan Ma, Wenlian Lu, Jianfeng Feng
Main Conference Track
Web2Code: A Large-scale Webpage-to-Code Dataset and Evaluation Framework for Multimodal LLMs Sukmin Yun, Haokun Lin, Rusiru Thushara, Mohammad Qazim Bhat, Yongxin Wang, Zutao Jiang, Mingkai Deng, Jinhong Wang, Tianhua Tao, Junbo Li, Haonan Li, Preslav Nakov, Timothy Baldwin, Zhengzhong Liu, Eric P. Xing, Xiaodan Liang, Zhiqiang Shen
Datasets and Benchmarks Track
Private Online Learning via Lazy Algorithms Hilal Asi, Tomer Koren, Daogao Liu, Kunal Talwar
Main Conference Track
Adversarial Moment-Matching Distillation of Large Language Models Chen Jia
Main Conference Track
Evidential Mixture Machines: Deciphering Multi-Label Correlations for Active Learning Sensitivity Dayou Yu, Minghao Li, Weishi Shi, Qi Yu
Main Conference Track
FreqMark: Invisible Image Watermarking via Frequency Based Optimization in Latent Space Yiyang Guo, Ruizhe Li, Mude Hui, Hanzhong Guo, Chen Zhang, Chuangjian Cai, Le Wan, Shangfei Wang
Main Conference Track
DECO-Bench: Unified Benchmark for Decoupled Task-Agnostic Synthetic Data Release Farzaneh Askari, Lingjuan Lyu, Vivek Sharma
Datasets and Benchmarks Track
DisC-GS: Discontinuity-aware Gaussian Splatting Haoxuan Qu, Zhuoling Li, Hossein Rahmani, Yujun Cai, Jun Liu
Main Conference Track
ComBack: A Versatile Dataset for Enhancing Compiler Backend Development Efficiency Ming Zhong, Fang Lyu, Lulin Wang, Hongna Geng, Lei Qiu, Huimin Cui, Xiaobing Feng
Datasets and Benchmarks Track
The Factorization Curse: Which Tokens You Predict Underlie the Reversal Curse and More Ouail Kitouni, Niklas Nolte, Diane Bouchacourt, Adina Williams, Mike Rabbat, Mark Ibrahim
Main Conference Track
Functional Gradient Flows for Constrained Sampling Shiyue Zhang, Longlin Yu, Ziheng Cheng, Cheng Zhang
Main Conference Track
Prediction with Action: Visual Policy Learning via Joint Denoising Process Yanjiang Guo, Yucheng Hu, Jianke Zhang, Yen-Jen Wang, Xiaoyu Chen, Chaochao Lu, Jianyu Chen
Main Conference Track
SRFUND: A Multi-Granularity Hierarchical Structure Reconstruction Benchmark in Form Understanding Jiefeng Ma, Yan Wang, Chenyu Liu, Jun Du, Yu Hu, Zhenrong Zhang, Pengfei Hu, Qing Wang, Jianshu Zhang
Datasets and Benchmarks Track
When LLMs Meet Cunning Texts: A Fallacy Understanding Benchmark for Large Language Models Yinghui Li, Qingyu Zhou, Yuanzhen Luo, Shirong Ma, Yangning Li, Hai-Tao Zheng, Xuming Hu, Philip S. Yu
Datasets and Benchmarks Track
Stochastic Optimal Control Matching Carles Domingo-Enrich, Jiequn Han, Brandon Amos, Joan Bruna, Ricky T. Q. Chen
Main Conference Track
Context-Aware Testing: A New Paradigm for Model Testing with Large Language Models Paulius Rauba, Nabeel Seedat, Max Ruiz Luyten, Mihaela van der Schaar
Main Conference Track
3D Focusing-and-Matching Network for Multi-Instance Point Cloud Registration Liyuan Zhang, Le Hui, Qi Liu, Bo Li, Yuchao Dai
Main Conference Track
Learning Segmentation from Point Trajectories Laurynas Karazija, Iro Laina, Christian Rupprecht, Andrea Vedaldi
Main Conference Track
AdaptiveISP: Learning an Adaptive Image Signal Processor for Object Detection Yujin Wang, Tianyi Xu, Fan Zhang, Tianfan Xue, Jinwei Gu
Main Conference Track
Source Code Foundation Models are Transferable Binary Analysis Knowledge Bases Zian Su, Xiangzhe Xu, Ziyang Huang, Kaiyuan Zhang, Xiangyu Zhang
Main Conference Track
Causal Dependence Plots Joshua R. Loftus, Lucius E. J. Bynum, Sakina Hansen
Main Conference Track
RSA: Resolving Scale Ambiguities in Monocular Depth Estimators through Language Descriptions Ziyao Zeng, Yangchao Wu, Hyoungseob Park, Daniel Wang, Fengyu Yang, Stefano Soatto, Dong Lao, Byung-Woo Hong, Alex Wong
Main Conference Track
NoMAD-Attention: Efficient LLM Inference on CPUs Through Multiply-add-free Attention Tianyi Zhang, Jonah Yi, Bowen Yao, Zhaozhuo Xu, Anshumali Shrivastava
Main Conference Track
On the Robustness of Spectral Algorithms for Semirandom Stochastic Block Models Aditya Bhaskara, Agastya Vibhuti Jha, Michael Kapralov, Naren Sarayu Manoj, Davide Mazzali, Weronika Wrzos-Kaminska
Main Conference Track
Federated Behavioural Planes: Explaining the Evolution of Client Behaviour in Federated Learning Dario Fenoglio, Gabriele Dominici, Pietro Barbiero, Alberto Tonda, Martin Gjoreski, Marc Langheinrich
Main Conference Track
Federated Black-Box Adaptation for Semantic Segmentation Jay N. Paranjape, Shameema Sikder, S. Swaroop Vedula, Vishal M. Patel
Main Conference Track
Compositional Generalization Across Distributional Shifts with Sparse Tree Operations Paul Soulos, Henry Conklin, Mattia Opper, Paul Smolensky, Jianfeng Gao, Roland Fernandez
Main Conference Track
Fractal Patterns May Illuminate the Success of Next-Token Prediction Ibrahim Alabdulmohsin, Vinh Q. Tran, Mostafa Dehghani
Main Conference Track
Symmetry Discovery Beyond Affine Transformations Ben Shaw, Abram Magner, Kevin R. Moon
Main Conference Track
Double-Ended Synthesis Planning with Goal-Constrained Bidirectional Search Kevin Yu, Jihye Roh, Ziang Li, Wenhao Gao, Runzhong Wang, Connor W. Coley
Main Conference Track
T2Vs Meet VLMs: A Scalable Multimodal Dataset for Visual Harmfulness Recognition Chen Yeh, You-Ming Chang, Wei-Chen Chiu, Ning Yu
Datasets and Benchmarks Track
Efficient and Sharp Off-Policy Evaluation in Robust Markov Decision Processes Andrew Bennett, Nathan Kallus, Miruna Oprescu, Wen Sun, Kaiwen Wang
Main Conference Track
Matching the Statistical Query Lower Bound for $k$-Sparse Parity Problems with Sign Stochastic Gradient Descent Yiwen Kou, Zixiang Chen, Quanquan Gu, Sham M. Kakade
Main Conference Track
Bigger, Regularized, Optimistic: scaling for compute and sample efficient continuous control Michal Nauman, Mateusz Ostaszewski, Krzysztof Jankowski, Piotr Miłoś, Marek Cygan
Main Conference Track
Customizing Language Models with Instance-wise LoRA for Sequential Recommendation Xiaoyu Kong, Jiancan Wu, An Zhang, Leheng Sheng, Hui Lin, Xiang Wang, Xiangnan He
Main Conference Track
Prediction-Powered Ranking of Large Language Models Ivi Chatzi, Eleni Straitouri, Suhas Thejaswi, Manuel Gomez Rodriguez
Main Conference Track
ArkVale: Efficient Generative LLM Inference with Recallable Key-Value Eviction Renze Chen, Zhuofeng Wang, Beiquan Cao, Tong Wu, Size Zheng, Xiuhong Li, Xuechao Wei, Shengen Yan, Meng Li, Yun Liang
Main Conference Track
Unsupervised Discovery of Formulas for Mathematical Constants Michael Shalyt, Uri Seligmann, Itay Beit Halachmi, Ofir David, Rotem Elimelech, Ido Kaminer
Main Conference Track
Oracle-Efficient Differentially Private Learning with Public Data Adam Block, Mark Bun, Rathin Desai, Abhishek Shetty, Zhiwei Steven Wu
Main Conference Track
Learning-Augmented Algorithms for the Bahncard Problem Hailiang Zhao, Xueyan Tang, Peng Chen, Shuiguang Deng
Main Conference Track
DeltaDock: A Unified Framework for Accurate, Efficient, and Physically Reliable Molecular Docking Jiaxian Yan, Zaixi Zhang, Jintao Zhu, Kai Zhang, Jianfeng Pei, Qi Liu
Main Conference Track
Generalizablity of Memorization Neural Network Lijia Yu, Xiao-Shan Gao, Lijun Zhang, Yibo Miao
Main Conference Track
Decision-Making Behavior Evaluation Framework for LLMs under Uncertain Context Jingru Jia, Zehua Yuan, Junhao Pan, Paul E. McNamara, Deming Chen
Main Conference Track
Copycats: the many lives of a publicly available medical imaging dataset Amelia Jiménez-Sánchez, Natalia-Rozalia Avlona, Dovile Juodelyte, Théo Sourget, Caroline Vang-Larsen, Anna Rogers, Hubert Dariusz Zając, Veronika Cheplygina
Datasets and Benchmarks Track
Exclusively Penalized Q-learning for Offline Reinforcement Learning Junghyuk Yeom, Yonghyeon Jo, Jungmo Kim, Sanghyeon Lee, Seungyul Han
Main Conference Track
Understanding the Limits of Vision Language Models Through the Lens of the Binding Problem Declan Campbell, Sunayana Rane, Tyler Giallanza, Nicolò De Sabbata, Kia Ghods, Amogh Joshi, Alexander Ku, Steven M. Frankland, Thomas L. Griffiths, Jonathan D. Cohen, Taylor Webb
Main Conference Track
Approximating the Top Eigenvector in Random Order Streams Praneeth Kacham, David P. Woodruff
Main Conference Track
Bridging The Gap between Low-rank and Orthogonal Adaptation via Householder Reflection Adaptation Shen Yuan, Haotian Liu, Hongteng Xu
Main Conference Track
Buffer of Thoughts: Thought-Augmented Reasoning with Large Language Models Ling Yang, Zhaochen Yu, Tianjun Zhang, Shiyi Cao, Minkai Xu, Wentao Zhang, Joseph E. Gonzalez, Bin Cui
Main Conference Track
Enhancing Large Language Models through Adaptive Tokenizers Mengyu Zheng, Hanting Chen, Tianyu Guo, Chong Zhu, Binfan Zheng, Chang Xu, Yunhe Wang
Main Conference Track
CharXiv: Charting Gaps in Realistic Chart Understanding in Multimodal LLMs Zirui Wang, Mengzhou Xia, Luxi He, Howard Chen, Yitao Liu, Richard Zhu, Kaiqu Liang, Xindi Wu, Haotian Liu, Sadhika Malladi, Alexis Chevalier, Sanjeev Arora, Danqi Chen
Datasets and Benchmarks Track
Achieving Optimal Clustering in Gaussian Mixture Models with Anisotropic Covariance Structures Xin Chen, Anderson Ye Zhang
Main Conference Track
Rad-NeRF: Ray-decoupled Training of Neural Radiance Field Lidong Guo, Xuefei Ning, Yonggan Fu, Tianchen Zhao, Zhuoliang Kang, Jincheng Yu, Yingyan (Celine) Lin, Yu Wang
Main Conference Track
SAFE: Slow and Fast Parameter-Efficient Tuning for Continual Learning with Pre-Trained Models Linglan Zhao, Xuerui Zhang, Ke Yan, Shouhong Ding, Weiran Huang
Main Conference Track
Nonlocal Attention Operator: Materializing Hidden Knowledge Towards Interpretable Physics Discovery Yue Yu, Ning Liu, Fei Lu, Tian Gao, Siavash Jafarzadeh, Stewart Silling
Main Conference Track
Improved Particle Approximation Error for Mean Field Neural Networks Atsushi Nitanda
Main Conference Track
Provable Editing of Deep Neural Networks using Parametric Linear Relaxation Zhe Tao, Aditya V. Thakur
Main Conference Track
A Study of Plasticity Loss in On-Policy Deep Reinforcement Learning Arthur Juliani, Jordan T. Ash
Main Conference Track
Spike-based Neuromorphic Model for Sound Source Localization Dehao Zhang, Shuai Wang, Ammar Belatreche, Wenjie Wei, Yichen Xiao, Haorui Zheng, Zijian Zhou, Malu Zhang, Yang Yang
Main Conference Track
Information-theoretic Limits of Online Classification with Noisy Labels Changlong Wu, Ananth Grama, Wojciech Szpankowski
Main Conference Track
On the Surprising Effectiveness of Attention Transfer for Vision Transformers Alexander C. Li, Yuandong Tian, Beidi Chen, Deepak Pathak, Xinlei Chen
Main Conference Track
Chat-Scene: Bridging 3D Scene and Large Language Models with Object Identifiers Haifeng Huang, Yilun Chen, Zehan Wang, Rongjie Huang, Runsen Xu, Tai Wang, Luping Liu, Xize Cheng, Yang Zhao, Jiangmiao Pang, Zhou Zhao
Main Conference Track
Scaling Sign Language Translation Biao Zhang, Garrett Tanzer, Orhan Firat
Main Conference Track
SMART: Scalable Multi-agent Real-time Motion Generation via Next-token Prediction Wei Wu, Xiaoxin Feng, Ziyan Gao, Yuheng Kan
Main Conference Track
UMFC: Unsupervised Multi-Domain Feature Calibration for Vision-Language Models Jiachen Liang, Ruibing Hou, Minyang Hu, Hong Chang, Shiguang Shan, Xilin Chen
Main Conference Track
Implicit Bias of Mirror Flow on Separable Data Scott Pesme, Radu-Alexandru Dragomir, Nicolas Flammarion
Main Conference Track
Addressing Spectral Bias of Deep Neural Networks by Multi-Grade Deep Learning Ronglong Fang, Yuesheng Xu
Main Conference Track
Scaling Laws with Vocabulary: Larger Models Deserve Larger Vocabularies Chaofan Tao, Qian Liu, Longxu Dou, Niklas Muennighoff, Zhongwei Wan, Ping Luo, Min Lin, Ngai Wong
Main Conference Track
Are Self-Attentions Effective for Time Series Forecasting? Dongbin Kim, Jinseong Park, Jaewook Lee, Hoki Kim
Main Conference Track
Value Imprint: A Technique for Auditing the Human Values Embedded in RLHF Datasets Ike Obi, Rohan Pant, Srishti Shekhar Agrawal, Maham Ghazanfar, Aaron Basiletti
Datasets and Benchmarks Track
User-item fairness tradeoffs in recommendations Sophie Greenwood, Sudalakshmee Chiniah, Nikhil Garg
Main Conference Track
Cal-DPO: Calibrated Direct Preference Optimization for Language Model Alignment Teng Xiao, Yige Yuan, Huaisheng Zhu, Mingxiao Li, Vasant G Honavar
Main Conference Track
Artemis: Towards Referential Understanding in Complex Videos Jihao Qiu, Yuan Zhang, Xi Tang, Lingxi Xie, Tianren Ma, Pengyu Yan, David Doermann, Qixiang Ye, Yunjie Tian
Main Conference Track
BAN: Detecting Backdoors Activated by Adversarial Neuron Noise Xiaoyun Xu, Zhuoran Liu, Stefanos Koffas, Shujian Yu, Stjepan Picek
Main Conference Track
Low-Rank Optimal Transport through Factor Relaxation with Latent Coupling Peter Halmos, Xinhao Liu, Julian Gold, Benjamin J. Raphael
Main Conference Track
FIDE: Frequency-Inflated Conditional Diffusion Model for Extreme-Aware Time Series Generation Asadullah Hill Galib, Pang-Ning Tan, Lifeng Luo
Main Conference Track
TFS-NeRF: Template-Free NeRF for Semantic 3D Reconstruction of Dynamic Scene Sandika Biswas, Qianyi Wu, Biplab Banerjee, Hamid Rezatofighi
Main Conference Track
Learning to Solve Quadratic Unconstrained Binary Optimization in a Classification Way Ming Chen, Jie Chun, Shang Xiang, Luona Wei, Yonghao Du, Qian Wan, Yuning Chen, Yingwu Chen
Main Conference Track
BECAUSE: Bilinear Causal Representation for Generalizable Offline Model-based Reinforcement Learning Haohong Lin, Wenhao Ding, Jian Chen, Laixi Shi, Jiacheng Zhu, Bo Li, Ding Zhao
Main Conference Track
Q-VLM: Post-training Quantization for Large Vision-Language Models Changyuan Wang, Ziwei Wang, Xiuwei Xu, Yansong Tang, Jie Zhou, Jiwen Lu
Main Conference Track
Diffusion Tuning: Transferring Diffusion Models via Chain of Forgetting Jincheng Zhong, Xingzhuo Guo, Jiaxiang Dong, Mingsheng Long
Main Conference Track
Multi-Group Proportional Representation in Retrieval Alex Oesterling, Claudio Mayrink Verdun, Carol Xuan Long, Alexander Glynn, Lucas Monteiro Paes, Sajani Vithana, Martina Cardone, Flavio P. Calmon
Main Conference Track
Provable Benefit of Cutout and CutMix for Feature Learning Junsoo Oh, Chulhee Yun
Main Conference Track
A PID Controller Approach for Adaptive Probability-dependent Gradient Decay in Model Calibration Siyuan Zhang, Linbo Xie
Main Conference Track
Dynamic Tuning Towards Parameter and Inference Efficiency for ViT Adaptation Wangbo Zhao, Jiasheng Tang, Yizeng Han, Yibing Song, Kai Wang, Gao Huang, Fan Wang, Yang You
Main Conference Track
Off to new Shores: A Dataset & Benchmark for (near-)coastal Flood Inundation Forecasting Brandon Victor, Mathilde Letard, Peter Naylor, Karim Douch, Nicolas Longépé, Zhen He, Patrick Ebel
Datasets and Benchmarks Track
Large language model validity via enhanced conformal prediction methods John J. Cherian, Isaac Gibbs, Emmanuel J. Candès
Main Conference Track
Agent Planning with World Knowledge Model Shuofei Qiao, Runnan Fang, Ningyu Zhang, Yuqi Zhu, Xiang Chen, Shumin Deng, Yong Jiang, Pengjun Xie, Fei Huang, Huajun Chen
Main Conference Track
Calibrating Reasoning in Language Models with Internal Consistency Zhihui Xie, Jizhou Guo, Tong Yu, Shuai Li
Main Conference Track
Graph Coarsening with Message-Passing Guarantees Antonin Joly, Nicolas Keriven
Main Conference Track
Breaking the False Sense of Security in Backdoor Defense through Re-Activation Attack Mingli Zhu, Siyuan Liang, Baoyuan Wu
Main Conference Track
Theoretical Characterisation of the Gauss Newton Conditioning in Neural Networks Jim Zhao, Sidak Pal Singh, Aurelien Lucchi
Main Conference Track
Amortized Fourier Neural Operators Zipeng Xiao, Siqi Kou, Zhongkai Hao, Bokai Lin, Zhijie Deng
Main Conference Track
Analysing Multi-Task Regression via Random Matrix Theory with Application to Time Series Forecasting Romain Ilbert, Malik Tiomoko, Cosme Louart, Ambroise Odonnat, Vasilii Feofanov, Themis Palpanas, Ievgen Redko
Main Conference Track
Image2Struct: Benchmarking Structure Extraction for Vision-Language Models Josselin Somerville Roberts, Tony Lee, Chi Heem Wong, Michihiro Yasunaga, Yifan Mai, Percy Liang
Datasets and Benchmarks Track
Offline Behavior Distillation Shiye Lei, Sen Zhang, Dacheng Tao
Main Conference Track
AutoSurvey: Large Language Models Can Automatically Write Surveys Yidong Wang, Qi Guo, Wenjin Yao, Hongbo Zhang, Xin Zhang, Zhen Wu, Meishan Zhang, Xinyu Dai, Min Zhang, Qingsong Wen, Wei Ye, Shikun Zhang, Yue Zhang
Main Conference Track
LOVA3: Learning to Visual Question Answering, Asking and Assessment Henry Hengyuan Zhao, Pan Zhou, Difei Gao, Zechen Bai, Mike Zheng Shou
Main Conference Track
Mixture of Adversarial LoRAs: Boosting Robust Generalization in Meta-Tuning Xu Yang, Chen Liu, Ying Wei
Main Conference Track
Leveraging Catastrophic Forgetting to Develop Safe Diffusion Models against Malicious Finetuning Jiadong Pan, Hongcheng Gao, Zongyu Wu, Taihang Hu, Li Su, Qingming Huang, Liang Li
Main Conference Track
PowerPM: Foundation Model for Power Systems Shihao Tu, Yupeng Zhang, Jing Zhang, Zhendong Fu, Yin Zhang, Yang Yang
Main Conference Track
Cost-efficient Knowledge-based Question Answering with Large Language Models Junnan Dong, Qinggang Zhang, Chuang Zhou, Hao Chen, Daochen Zha, Xiao Huang
Main Conference Track
LoQT: Low-Rank Adapters for Quantized Pretraining Sebastian Loeschcke, Mads Toftrup, Michael J. Kastoryano, Serge Belongie, Vésteinn Snæbjarnarson
Main Conference Track
High Rank Path Development: an approach to learning the filtration of stochastic processes Jiajie Tao, Hao Ni, Chong Liu
Main Conference Track
Exploitation of a Latent Mechanism in Graph Contrastive Learning: Representation Scattering Dongxiao He, Lianze Shan, Jitao Zhao, Hengrui Zhang, Zhen Wang, Weixiong Zhang
Main Conference Track
One-Step Diffusion Distillation through Score Implicit Matching Weijian Luo, Zemin Huang, Zhengyang Geng, J. Zico Kolter, Guo-jun Qi
Main Conference Track
Structured Learning of Compositional Sequential Interventions Jialin Yu, Andreas Koukorinis, Nicolò Colombo, Yuchen Zhu, Ricardo Silva
Main Conference Track
Last-Iterate Convergence for Generalized Frank-Wolfe in Monotone Variational Inequalities Zaiwei Chen, Eric Mazumdar
Main Conference Track
Real-time Stereo-based 3D Object Detection for Streaming Perception Changcai Li, Zonghua Gu, Gang Chen, Libo Huang, Wei Zhang, Huihui Zhou
Main Conference Track
Parallelizing Linear Transformers with the Delta Rule over Sequence Length Songlin Yang, Bailin Wang, Yu Zhang, Yikang Shen, Yoon Kim
Main Conference Track
Cost-aware Bayesian Optimization via the Pandora's Box Gittins Index Qian Xie, Raul Astudillo, Peter I. Frazier, Ziv Scully, Alexander Terenin
Main Conference Track
Adaptable Logical Control for Large Language Models Honghua Zhang, Po-Nien Kung, Masahiro Yoshida, Guy Van den Broeck, Nanyun Peng
Main Conference Track
FLAME : Factuality-Aware Alignment for Large Language Models Sheng-Chieh Lin, Luyu Gao, Barlas Oguz, Wenhan Xiong, Jimmy Lin, Wen-tau Yih, Xilun Chen
Main Conference Track
FIARSE: Model-Heterogeneous Federated Learning via Importance-Aware Submodel Extraction Feijie Wu, Xingchen Wang, Yaqing Wang, Tianci Liu, Lu Su, Jing Gao
Main Conference Track
Clustering in Causal Attention Masking Nikita Karagodin, Yury Polyanskiy, Philippe Rigollet
Main Conference Track
The Selective $G$-Bispectrum and its Inversion: Applications to $G$-Invariant Networks Simon Mataigne, Johan Mathe, Sophia Sanborn, Christopher Hillar, Nina Miolane
Main Conference Track
Schedule Your Edit: A Simple yet Effective Diffusion Noise Schedule for Image Editing Haonan Lin, Yan Chen, Jiahao Wang, Wenbin An, Mengmeng Wang, Feng Tian, Yong Liu, Guang Dai, Jingdong Wang, Qianying Wang
Main Conference Track
Geometry Awakening: Cross-Geometry Learning Exhibits Superiority over Individual Structures Yadong Sun, Xiaofeng Cao, Yu Wang, Wei Ye, Jingcai Guo, Qing Guo
Main Conference Track
Advancing Training Efficiency of Deep Spiking Neural Networks through Rate-based Backpropagation Chengting Yu, Lei Liu, Gaoang Wang, Erping Li, Aili Wang
Main Conference Track
Exploring Jacobian Inexactness in Second-Order Methods for Variational Inequalities: Lower Bounds, Optimal Algorithms and Quasi-Newton Approximations Artem Agafonov, Petr Ostroukhov, Roman Mozhaev, Konstantin Yakovlev, Eduard Gorbunov, Martin Takáč, Alexander Gasnikov, Dmitry Kamzolov
Main Conference Track
A Neuro-Symbolic Benchmark Suite for Concept Quality and Reasoning Shortcuts Samuele Bortolotti, Emanuele Marconato, Tommaso Carraro, Paolo Morettin, Emile van Krieken, Antonio Vergari, Stefano Teso, Andrea Passerini
Datasets and Benchmarks Track
Provable Benefits of Complex Parameterizations for Structured State Space Models Yuval Ran-Milo, Eden Lumbroso, Edo Cohen-Karlik, Raja Giryes, Amir Globerson, Nadav Cohen
Main Conference Track
A teacher-teacher framework for clinical language representation learning Feiqing Huang, Shenghan Zhang, Sara Morini Sweet, Tianxi Cai
Main Conference Track
WONDERBREAD: A Benchmark for Evaluating Multimodal Foundation Models on Business Process Management Tasks Michael Wornow, Avanika Narayan, Ben Viggiano, Ishan S. Khare, Tathagat Verma, Tibor Thompson, Miguel Angel Fuentes Hernandez, Sudharsan Sundar, Chloe Trujillo, Krrish Chawla, Rongfei Lu, Justin Shen, Divya Nagaraj, Joshua Martinez, Vardhan Agrawal, Althea Hudson, Nigam H. Shah, Christopher Ré
Datasets and Benchmarks Track
Testing Calibration in Nearly-Linear Time Lunjia Hu, Arun Jambulapati, Kevin Tian, Chutong Yang
Main Conference Track
Towards Flexible 3D Perception: Object-Centric Occupancy Completion Augments 3D Object Detection Chaoda Zheng, Feng Wang, Naiyan Wang, Shuguang Cui, Zhen Li
Main Conference Track
Jointly Modeling Inter- & Intra-Modality Dependencies for Multi-modal Learning Divyam Madaan, Taro Makino, Sumit Chopra, Kyunghyun Cho
Main Conference Track
You Don’t Need Domain-Specific Data Augmentations When Scaling Self-Supervised Learning Théo Moutakanni, Maxime Oquab, Marc Szafraniec, Maria Vakalopoulou, Piotr Bojanowski
Main Conference Track
$\textit{Read-ME}$: Refactorizing LLMs as Router-Decoupled Mixture of Experts with System Co-Design Ruisi Cai, Yeonju Ro, Geon-Woo Kim, Peihao Wang, Babak Ehteshami Bejnordi, Aditya Akella, Zhangyang Wang
Main Conference Track
A SARS-CoV-2 Interaction Dataset and VHH Sequence Corpus for Antibody Language Models Hirofumi Tsuruta, Hiroyuki Yamazaki, Ryota Maeda, Ryotaro Tamura, Akihiro Imura
Datasets and Benchmarks Track
Exploring and Exploiting the Asymmetric Valley of Deep Neural Networks Xin-Chun Li, Jin-Lin Tang, Bo Zhang, Lan Li, De-Chuan Zhan
Main Conference Track
Instructor-inspired Machine Learning for Robust Molecular Property Prediction Fang Wu, Shuting Jin, Siyuan Li, Stan Z. Li
Main Conference Track
Nuclear Norm Regularization for Deep Learning Christopher Scarvelis, Justin Solomon
Main Conference Track
SE(3)-bi-equivariant Transformers for Point Cloud Assembly Ziming Wang, Rebecka Jörnsten
Main Conference Track
Universal Rates of Empirical Risk Minimization Steve Hanneke, Mingyue Xu
Main Conference Track
Attention Temperature Matters in ViT-Based Cross-Domain Few-Shot Learning Yixiong Zou, Ran Ma, Yuhua Li, Ruixuan Li
Main Conference Track
LocCa: Visual Pretraining with Location-aware Captioners Bo Wan, Michael Tschannen, Yongqin Xian, Filip Pavetic, Ibrahim Alabdulmohsin, Xiao Wang, André Susano Pinto, Andreas Steiner, Lucas Beyer, Xiaohua Zhai
Main Conference Track
Efficient Graph Matching for Correlated Stochastic Block Models Shuwen Chai, Miklós Z. Rácz
Main Conference Track
RedPajama: an Open Dataset for Training Large Language Models Maurice Weber, Daniel Y. Fu, Quentin Anthony, Yonatan Oren, Shane Adams, Anton Alexandrov, Xiaozhong Lyu, Huu Nguyen, Xiaozhe Yao, Virginia Adams, Ben Athiwaratkun, Rahul Chalamala, Kezhen Chen, Max Ryabinin, Tri Dao, Percy Liang, Christopher Ré, Irina Rish, Ce Zhang
Datasets and Benchmarks Track
KFNN: K-Free Nearest Neighbor For Crowdsourcing Wenjun Zhang, Liangxiao Jiang, Chaoqun Li
Main Conference Track
Understanding the Transferability of Representations via Task-Relatedness Akshay Mehra, Yunbei Zhang, Jihun Hamm
Main Conference Track
S2HPruner: Soft-to-Hard Distillation Bridges the Discretization Gap in Pruning Weihao Lin, Shengji Tang, Chong Yu, Peng Ye, Tao Chen
Main Conference Track
Label Noise: Ignorance Is Bliss Yilun Zhu, Jianxin Zhang, Aditya Gangrade, Clayton Scott
Main Conference Track
Iterative Reasoning Preference Optimization Richard Yuanzhe Pang, Weizhe Yuan, Kyunghyun Cho, He He, Sainbayar Sukhbaatar, Jason Weston
Main Conference Track
Strategic Linear Contextual Bandits Thomas Kleine Buening, Aadirupa Saha, Christos Dimitrakakis, Haifeng Xu
Main Conference Track
Dual Critic Reinforcement Learning under Partial Observability Jinqiu Li, Enmin Zhao, Tong Wei, Junliang Xing, Shiming Xiang
Main Conference Track
What type of inference is planning? Miguel Lázaro-Gredilla, Li Yang Ku, Kevin P. Murphy, Dileep George
Main Conference Track
Uncovering Safety Risks of Large Language Models through Concept Activation Vector Zhihao Xu, Ruixuan Huang, Changyu Chen, Xiting Wang
Main Conference Track
Meta-Exploiting Frequency Prior for Cross-Domain Few-Shot Learning Fei Zhou, Peng Wang, Lei Zhang, Zhenghua Chen, Wei Wei, Chen Ding, Guosheng Lin, Yanning Zhang
Main Conference Track
An In-depth Investigation of Sparse Rate Reduction in Transformer-like Models Yunzhe Hu, Difan Zou, Dong Xu
Main Conference Track
OT4P: Unlocking Effective Orthogonal Group Path for Permutation Relaxation Yaming Guo, Chen Zhu, Hengshu Zhu, Tieru Wu
Main Conference Track
Gated Slot Attention for Efficient Linear-Time Sequence Modeling Yu Zhang, Songlin Yang, Ruijie Zhu, Yue Zhang, Leyang Cui, Yiqiao Wang, Bolun Wang, Freda Shi, Bailin Wang, Wei Bi, Peng Zhou, Guohong Fu
Main Conference Track
Tracing Hyperparameter Dependencies for Model Parsing via Learnable Graph Pooling Network Xiao Guo, Vishal Asnani, Sijia Liu, Xiaoming Liu
Main Conference Track
Soft Superpixel Neighborhood Attention Kent Gauen, Stanley Chan
Main Conference Track
Focus On What Matters: Separated Models For Visual-Based RL Generalization Di Zhang, Bowen Lv, Hai Zhang, Feifan Yang, Junqiao Zhao, Hang Yu, Chang Huang, Hongtu Zhou, Chen Ye, Changjun Jiang
Main Conference Track
Conformalized Credal Set Predictors Alireza Javanmardi, David Stutz, Eyke Hüllermeier
Main Conference Track
The Impact of Initialization on LoRA Finetuning Dynamics Soufiane Hayou, Nikhil Ghosh, Bin Yu
Main Conference Track
DropEdge not Foolproof: Effective Augmentation Method for Signed Graph Neural Networks Zeyu Zhang, Lu Li, Shuyan Wan, Sijie Wang, Zhiyi Wang, Zhiyuan Lu, Dong Hao, Wanli Li
Main Conference Track
Learning Goal-Conditioned Representations for Language Reward Models Vaskar Nath, Dylan Slack, Jeff Da, Yuntao Ma, Hugh Zhang, Spencer Whitehead, Sean Hendryx
Main Conference Track
Reinforcement Learning with LTL and $\omega$-Regular Objectives via Optimality-Preserving Translation to Average Rewards Xuan-Bach Le, Dominik Wagner, Leon Witzman, Alexander Rabinovich, Luke Ong
Main Conference Track
Learning Low-Rank Feature for Thorax Disease Classification Yancheng Wang, Rajeev Goel, Utkarsh Nath, Alvin C. Silva, Teresa Wu, Yingzhen Yang
Main Conference Track
In-Trajectory Inverse Reinforcement Learning: Learn Incrementally Before an Ongoing Trajectory Terminates Shicheng Liu, Minghui Zhu
Main Conference Track
Navigating Extremes: Dynamic Sparsity in Large Output Spaces Nasib Ullah, Erik Schultheis, Mike Lasby, Yani Ioannou, Rohit Babbar
Main Conference Track
Truthfulness of Calibration Measures Nika Haghtalab, Mingda Qiao, Kunhe Yang, Eric Zhao
Main Conference Track
IODA: Instance-Guided One-shot Domain Adaptation for Super-Resolution Zai-Zuo Tang, Yu-Bin Yang
Main Conference Track
Conditional Density Estimation with Histogram Trees Lincen Yang, Matthijs van Leeuwen
Main Conference Track
Hyper-SD: Trajectory Segmented Consistency Model for Efficient Image Synthesis Yuxi Ren, Xin Xia, Yanzuo Lu, Jiacheng Zhang, Jie Wu, Pan Xie, Xing Wang, Xuefeng Xiao
Main Conference Track
Empowering Visible-Infrared Person Re-Identification with Large Foundation Models Zhangyi Hu, Bin Yang, Mang Ye
Main Conference Track
SynRS3D: A Synthetic Dataset for Global 3D Semantic Understanding from Monocular Remote Sensing Imagery Jian Song, Hongruixuan Chen, Weihao Xuan, Junshi Xia, Naoto Yokoya
Datasets and Benchmarks Track
Differentiable Structure Learning with Partial Orders Taiyu Ban, Lyuzhou Chen, Xiangyu Wang, Xin Wang, Derui Lyu, Huanhuan Chen
Main Conference Track
Neural Residual Diffusion Models for Deep Scalable Vision Generation Zhiyuan Ma, Liangliang Zhao, Biqing Qi, Bowen Zhou
Main Conference Track
Truncated Variance Reduced Value Iteration Yujia Jin, Ishani Karmarkar, Aaron Sidford, Jiayi Wang
Main Conference Track
The Fairness-Quality Tradeoff in Clustering Rashida Hakim, Ana-Andreea Stoica, Christos H. Papadimitriou, Mihalis Yannakakis
Main Conference Track
Pruning neural network models for gene regulatory dynamics using data and domain knowledge Intekhab Hossain, Jonas Fischer, Rebekka Burkholz, John Quackenbush
Main Conference Track
Adaptive Sampling for Efficient Softmax Approximation Tavor Z. Baharav, Ryan Kang, Colin Sullivan, Mo Tiwari, Eric Luxenberg, David Tse, Mert Pilanci
Main Conference Track
InstructG2I: Synthesizing Images from Multimodal Attributed Graphs Bowen Jin, Ziqi Pang, Bingjun Guo, Yu-Xiong Wang, Jiaxuan You, Jiawei Han
Main Conference Track
Is the MMI Criterion Necessary for Interpretability? Degenerating Non-causal Features to Plain Noise for Self-Rationalization Wei Liu, Zhiying Deng, Zhongyu Niu, Jun Wang, Haozhao Wang, YuanKai Zhang, Ruixuan Li
Main Conference Track
Oracle-Efficient Reinforcement Learning for Max Value Ensembles Marcel Hussing, Michael Kearns, Aaron Roth, Sikata Bela Sengupta, Jessica Sorrell
Main Conference Track
QuadMamba: Learning Quadtree-based Selective Scan for Visual State Space Model Fei Xie, Weijia Zhang, Zhongdao Wang, Chao Ma
Main Conference Track
State-free Reinforcement Learning Mingyu Chen, Aldo Pacchiano, Xuezhou Zhang
Main Conference Track
Does Reasoning Emerge? Examining the Probabilities of Causation in Large Language Models Javier González, Aditya V. Nori
Main Conference Track
Verified Safe Reinforcement Learning for Neural Network Dynamic Models Junlin Wu, Huan Zhang, Yevgeniy Vorobeychik
Main Conference Track
Noise Contrastive Alignment of Language Models with Explicit Rewards Huayu Chen, Guande He, Lifan Yuan, Ganqu Cui, Hang Su, Jun Zhu
Main Conference Track
Robust Conformal Prediction Using Privileged Information Shai Feldman, Yaniv Romano
Main Conference Track
PaDeLLM-NER: Parallel Decoding in Large Language Models for Named Entity Recognition Jinghui Lu, Ziwei Yang, Yanjie Wang, Xuejing Liu, Brian Mac Namee, Can Huang
Main Conference Track
DMPlug: A Plug-in Method for Solving Inverse Problems with Diffusion Models Hengkang Wang, Xu Zhang, Taihui Li, Yuxiang Wan, Tiancong Chen, Ju Sun
Main Conference Track
Regression under demographic parity constraints via unlabeled post-processing Gayane Taturyan, Evgenii Chzhen, Mohamed Hebiri
Main Conference Track
Code Repair with LLMs gives an Exploration-Exploitation Tradeoff Hao Tang, Keya Hu, Jin Peng Zhou, Sicheng Zhong, Wei-Long Zheng, Xujie Si, Kevin Ellis
Main Conference Track
Efficient Multi-task Reinforcement Learning with Cross-Task Policy Guidance Jinmin He, Kai Li, Yifan Zang, Haobo Fu, Qiang Fu, Junliang Xing, Jian Cheng
Main Conference Track
Semi-Truths: A Large-Scale Dataset of AI-Augmented Images for Evaluating Robustness of AI-Generated Image detectors Anisha Pal, Julia Kruk, Mansi Phute, Manognya Bhattaram, Diyi Yang, Duen Horng Chau, Judy Hoffman
Datasets and Benchmarks Track
Deep Bayesian Active Learning for Preference Modeling in Large Language Models Luckeciano C. Melo, Panagiotis Tigas, Alessandro Abate, Yarin Gal
Main Conference Track
Data Acquisition via Experimental Design for Data Markets Charles Lu, Baihe Huang, Sai Praneeth Karimireddy, Praneeth Vepakomma, Michael I. Jordan, Ramesh Raskar
Main Conference Track
Latent Diffusion for Neural Spiking Data Jaivardhan Kapoor, Auguste Schulz, Julius Vetter, Felix Pei, Richard Gao, Jakob H. Macke
Main Conference Track
Deep Support Vectors Junhoo Lee, Hyunho Lee, Kyomin Hwang, Nojun Kwak
Main Conference Track
$E^3$: Exploring Embodied Emotion Through A Large-Scale Egocentric Video Dataset Wang Lin, Yueying Feng, Wenkang Han, Tao Jin, Zhou Zhao, Fei Wu, Chang Yao, Jingyuan Chen
Datasets and Benchmarks Track
Large Language Model Unlearning via Embedding-Corrupted Prompts Chris Yuhao Liu, Yaxuan Wang, Jeffrey Flanigan, Yang Liu
Main Conference Track
SLTrain: a sparse plus low rank approach for parameter and memory efficient pretraining Andi Han, Jiaxiang Li, Wei Huang, Mingyi Hong, Akiko Takeda, Pratik Jawanpuria, Bamdev Mishra
Main Conference Track
Treeffuser: probabilistic prediction via conditional diffusions with gradient-boosted trees Nicolas Beltran-Velez, Alessandro Antonio Grande, Achille Nazaret, Alp Kucukelbir, David Blei
Main Conference Track
FedGMKD: An Efficient Prototype Federated Learning Framework through Knowledge Distillation and Discrepancy-Aware Aggregation Jianqiao Zhang, Caifeng Shan, Jungong Han
Main Conference Track
Sigmoid Gating is More Sample Efficient than Softmax Gating in Mixture of Experts Huy Nguyen, Nhat Ho, Alessandro Rinaldo
Main Conference Track
Principled Probabilistic Imaging using Diffusion Models as Plug-and-Play Priors Zihui Wu, Yu Sun, Yifan Chen, Bingliang Zhang, Yisong Yue, Katherine L. Bouman
Main Conference Track
Exploring the Role of Large Language Models in Prompt Encoding for Diffusion Models Bingqi Ma, Zhuofan Zong, Guanglu Song, Hongsheng Li, Yu Liu
Main Conference Track
Point-PRC: A Prompt Learning Based Regulation Framework for Generalizable Point Cloud Analysis Hongyu Sun, Qiuhong Ke, Yongcai Wang, Wang Chen, Kang Yang, Deying Li, Jianfei Cai
Main Conference Track
E2ENet: Dynamic Sparse Feature Fusion for Accurate and Efficient 3D Medical Image Segmentation Boqian Wu, Qiao Xiao, Shiwei Liu, Lu Yin, Mykola Pechenizkiy, Decebal Constantin Mocanu, Maurice van Keulen, Elena Mocanu
Main Conference Track
Multi-Agent Coordination via Multi-Level Communication Ziluo Ding, Zeyuan Liu, Zhirui Fang, Kefan Su, Liwen Zhu, Zongqing Lu
Main Conference Track
MambaLRP: Explaining Selective State Space Sequence Models Farnoush Rezaei Jafari, Grégoire Montavon, Klaus-Robert Müller, Oliver Eberle
Main Conference Track
Knowledge Circuits in Pretrained Transformers Yunzhi Yao, Ningyu Zhang, Zekun Xi, Mengru Wang, Ziwen Xu, Shumin Deng, Huajun Chen
Main Conference Track
Keeping LLMs Aligned After Fine-tuning: The Crucial Role of Prompt Templates Kaifeng Lyu, Haoyu Zhao, Xinran Gu, Dingli Yu, Anirudh Goyal, Sanjeev Arora
Main Conference Track
Unveiling the Tapestry of Consistency in Large Vision-Language Models Yuan Zhang, Fei Xiao, Tao Huang, Chun-Kai Fan, Hongyuan Dong, Jiawen Li, Jiacong Wang, Kuan Cheng, Shanghang Zhang, Haoyuan Guo
Main Conference Track
TPC: Test-time Procrustes Calibration for Diffusion-based Human Image Animation Sunjae Yoon, Gwanhyeong Koo, Younghwan Lee, Chang D. Yoo
Main Conference Track
Multi-model Ensemble Conformal Prediction in Dynamic Environments Erfan Hajihashemi, Yanning Shen
Main Conference Track
Improving Generalization and Convergence by Enhancing Implicit Regularization Mingze Wang, Jinbo Wang, Haotian He, Zilin Wang, Guanhua Huang, Feiyu Xiong, Zhiyu Li, Weinan E, Lei Wu
Main Conference Track
Inductive biases of multi-task learning and finetuning: multiple regimes of feature reuse Samuel Lippl, Jack Lindsey
Main Conference Track
Estimating Heterogeneous Treatment Effects by Combining Weak Instruments and Observational Data Miruna Oprescu, Nathan Kallus
Main Conference Track
SPIQA: A Dataset for Multimodal Question Answering on Scientific Papers Shraman Pramanick, Rama Chellappa, Subhashini Venugopalan
Datasets and Benchmarks Track
Superposed Decoding: Multiple Generations from a Single Autoregressive Inference Pass Ethan Shen, Alan Fan, Sarah Pratt, Jae Sung Park, Matthew Wallingford, Sham Kakade, Ari Holtzman, Ranjay Krishna, Ali Farhadi, Aditya Kusupati
Main Conference Track
Derivatives of Stochastic Gradient Descent in parametric optimization Franck Iutzeler, Edouard Pauwels, Samuel Vaiter
Main Conference Track
Hallo3D: Multi-Modal Hallucination Detection and Mitigation for Consistent 3D Content Generation Hongbo Wang, Jie Cao, Jin Liu, Xiaoqiang Zhou, Huaibo Huang, Ran He
Main Conference Track
Retrospective for the Dynamic Sensorium Competition for predicting large-scale mouse primary visual cortex activity from videos Polina Turishcheva, Paul G. Fahey, Michaela Vystrčilová, Laura Hansel, Rachel Froebe, Kayla Ponder, Yongrong Qiu, Konstantin F. Willeke, Mohammad Bashiri, Ruslan Baikulov, Yu Zhu, Lei Ma, Shan Yu, Tiejun Huang, Bryan M. Li, Wolf De Wulf, Nina Kudryashova, Matthias H. Hennig, Nathalie L. Rochefort, Arno Onken, Eric Wang, Zhiwei Ding, Andreas S. Tolias, Fabian H. Sinz, Alexander S. Ecker
Datasets and Benchmarks Track
Revisiting K-mer Profile for Effective and Scalable Genome Representation Learning Abdulkadir Çelikkanat, Andres R. Masegosa, Thomas D. Nielsen
Main Conference Track
Multi-turn Reinforcement Learning with Preference Human Feedback Lior Shani, Aviv Rosenberg, Asaf Cassel, Oran Lang, Daniele Calandriello, Avital Zipori, Hila Noga, Orgad Keller, Bilal Piot, Idan Szpektor, Avinatan Hassidim, Yossi Matias, Rémi Munos
Main Conference Track
Wasserstein Gradient Boosting: A Framework for Distribution-Valued Supervised Learning Takuo Matsubara
Main Conference Track
Mixture of Experts Meets Prompt-Based Continual Learning Minh Le, An Nguyen, Huy Nguyen, Trang Nguyen, Trang Pham, Linh Van Ngo, Nhat Ho
Main Conference Track
LoD-Loc: Aerial Visual Localization using LoD 3D Map with Neural Wireframe Alignment Juelin Zhu, Shen Yan, Long Wang, Shengyue Zhang, Yu Liu, Maojun Zhang
Main Conference Track
STL: Still Tricky Logic (for System Validation, Even When Showing Your Work) Isabelle Hurley, Rohan Paleja, Ashley Suh, Jaime D. Peña, Ho Chit Siu
Main Conference Track
Algorithmic Collective Action in Recommender Systems: Promoting Songs by Reordering Playlists Joachim Baumann, Celestine Mendler-Dünner
Main Conference Track
Autoregressive Policy Optimization for Constrained Allocation Tasks David Winkel, Niklas Strauß, Maximilian Bernhard, Zongyue Li, Thomas Seidl, Matthias Schubert
Main Conference Track
ElasTST: Towards Robust Varied-Horizon Forecasting with Elastic Time-Series Transformer Jiawen Zhang, Shun Zheng, Xumeng Wen, Xiaofang Zhou, Jiang Bian, Jia Li
Main Conference Track
Optimal Transport-based Labor-free Text Prompt Modeling for Sketch Re-identification Rui Li, Tingting Ren, Jie Wen, Jinxing Li
Main Conference Track
Unlocking the Potential of Global Human Expertise Elliot Meyerson, Olivier Francon, Darren Sargent, Babak Hodjat, Risto Miikkulainen
Main Conference Track
Physically Compatible 3D Object Modeling from a Single Image Minghao Guo, Bohan Wang, Pingchuan Ma, Tianyuan Zhang, Crystal Elaine Owens, Chuang Gan, Joshua B. Tenenbaum, Kaiming He, Wojciech Matusik
Main Conference Track
Fetch and Forge: Efficient Dataset Condensation for Object Detection Ding Qi, Jian Li, Jinlong Peng, Bo Zhao, Shuguang Dou, Jialin Li, Jiangning Zhang, Yabiao Wang, Chengjie Wang, Cairong Zhao
Main Conference Track
Multiple Physics Pretraining for Spatiotemporal Surrogate Models Michael McCabe, Bruno Régaldo-Saint Blancard, Liam Parker, Ruben Ohana, Miles Cranmer, Alberto Bietti, Michael Eickenberg, Siavash Golkar, Geraud Krawezik, Francois Lanusse, Mariel Pettee, Tiberiu Tesileanu, Kyunghyun Cho, Shirley Ho
Main Conference Track
Streaming Long Video Understanding with Large Language Models Rui Qian, Xiaoyi Dong, Pan Zhang, Yuhang Zang, Shuangrui Ding, Dahua Lin, Jiaqi Wang
Main Conference Track
Geometry Cloak: Preventing TGS-based 3D Reconstruction from Copyrighted Images Qi Song, Ziyuan Luo, Ka Chun Cheung, Simon See, Renjie Wan
Main Conference Track
Tackling Uncertain Correspondences for Multi-Modal Entity Alignment Liyi Chen, Ying Sun, Shengzhe Zhang, Yuyang Ye, Wei Wu, Hui Xiong
Main Conference Track
Human-Aware Vision-and-Language Navigation: Bridging Simulation to Reality with Dynamic Human Interactions Heng Li, Minghan Li, Zhi-Qi Cheng, Yifei Dong, Yuxuan Zhou, Jun-Yan He, Qi Dai, Teruko Mitamura, Alexander G. Hauptmann
Datasets and Benchmarks Track
Diversity-Driven Synthesis: Enhancing Dataset Distillation through Directed Weight Adjustment Jiawei Du, Xin Zhang, Juncheng Hu, Wenxing Huang, Joey Tianyi Zhou
Main Conference Track
MR-Ben: A Meta-Reasoning Benchmark for Evaluating System-2 Thinking in LLMs Zhongshen Zeng, Yinhong Liu, Yingjia Wan, Jingyao Li, Pengguang Chen, Jianbo Dai, Yuxuan Yao, Rongwu Xu, Zehan Qi, Wanru Zhao, Linling Shen, Jianqiao Lu, Haochen Tan, Yukang Chen, Hao Zhang, Zhan Shi, Bailin Wang, Zhijiang Guo, Jiaya Jia
Main Conference Track
Learning diverse causally emergent representations from time series data David McSharry, Christos Kaplanis, Fernando E. Rosas, Pedro A.M. Mediano
Main Conference Track
How Transformers Utilize Multi-Head Attention in In-Context Learning? A Case Study on Sparse Linear Regression Xingwu Chen, Lei Zhao, Difan Zou
Main Conference Track
Diffusion Policy Attacker: Crafting Adversarial Attacks for Diffusion-based Policies Yipu Chen, Haotian Xue, Yongxin Chen
Main Conference Track
InfLLM: Training-Free Long-Context Extrapolation for LLMs with an Efficient Context Memory Chaojun Xiao, Pengle Zhang, Xu Han, Guangxuan Xiao, Yankai Lin, Zhengyan Zhang, Zhiyuan Liu, Maosong Sun
Main Conference Track
ALPINE: Unveiling The Planning Capability of Autoregressive Learning in Language Models Siwei Wang, Yifei Shen, Shi Feng, Haoran Sun, Shang-Hua Teng, Wei Chen
Main Conference Track
Latent Paraphrasing: Perturbation on Layers Improves Knowledge Injection in Language Models Minki Kang, Sung Ju Hwang, Gibbeum Lee, Jaewoong Cho
Main Conference Track
Articulate your NeRF: Unsupervised articulated object modeling via conditional view synthesis Jianning Deng, Kartic Subr, Hakan Bilen
Main Conference Track
Fearless Stochasticity in Expectation Propagation Jonathan So, Richard E. Turner
Main Conference Track
Most Influential Subset Selection: Challenges, Promises, and Beyond Yuzheng Hu, Pingbang Hu, Han Zhao, Jiaqi W. Ma
Main Conference Track
Expectile Regularization for Fast and Accurate Training of Neural Optimal Transport Nazar Buzun, Maksim Bobrin, Dmitry V. Dylov
Main Conference Track
Ensemble Learning for Heterogeneous Large Language Models with Deep Parallel Collaboration Yichong Huang, Xiaocheng Feng, Baohang Li, Yang Xiang, Hui Wang, Ting Liu, Bing Qin
Main Conference Track
OPUS: Occupancy Prediction Using a Sparse Set Jiabao Wang, Zhaojiang Liu, Qiang Meng, Liujiang Yan, Ke Wang, Jie Yang, Wei Liu, Qibin Hou, Ming-Ming Cheng
Main Conference Track
Chimera: Effectively Modeling Multivariate Time Series with 2-Dimensional State Space Models Ali Behrouz, Michele Santacatterina, Ramin Zabih
Main Conference Track
AutoGuide: Automated Generation and Selection of Context-Aware Guidelines for Large Language Model Agents Yao Fu, Dong-Ki Kim, Jaekyeom Kim, Sungryull Sohn, Lajanugen Logeswaran, Kyunghoon Bae, Honglak Lee
Main Conference Track
Aligning Diffusion Behaviors with Q-functions for Efficient Continuous Control Huayu Chen, Kaiwen Zheng, Hang Su, Jun Zhu
Main Conference Track
Label Delay in Online Continual Learning Botos Csaba, Wenxuan Zhang, Matthias Müller, Ser-Nam Lim, Mohamed Elhoseiny, Philip H.S. Torr, Adel Bibi
Main Conference Track
Conjugate Bayesian Two-step Change Point Detection for Hawkes Process Zeyue Zhang, Xiaoling Lu, Feng Zhou
Main Conference Track
Hybrid Reinforcement Learning Breaks Sample Size Barriers In Linear MDPs Kevin Tan, Wei Fan, Yuting Wei
Main Conference Track
Tangent Space Causal Inference: Leveraging Vector Fields for Causal Discovery in Dynamical Systems Kurt Butler, Daniel Waxman, Petar M. Djurić
Main Conference Track
Learning from Offline Foundation Features with Tensor Augmentations Emir Konuk, Christos Matsoukas, Moein Sorkhei, Phitchapha Lertsiravaramet, Kevin Smith
Main Conference Track
Can large language models explore in-context? Akshay Krishnamurthy, Keegan Harris, Dylan J. Foster, Cyril Zhang, Aleksandrs Slivkins
Main Conference Track
NoiseGPT: Label Noise Detection and Rectification through Probability Curvature Haoyu Wang, Zhuo Huang, Zhiwei Lin, Tongliang Liu
Main Conference Track
Test-Time Adaptation Induces Stronger Accuracy and Agreement-on-the-Line Eungyeup Kim, Mingjie Sun, Christina Baek, Aditi Raghunathan, J. Zico Kolter
Main Conference Track
On the Expressivity and Sample Complexity of Node-Individualized Graph Neural Networks Paolo Pellizzoni, Till Hendrik Schulz, Dexiong Chen, Karsten Borgwardt
Main Conference Track
APEBench: A Benchmark for Autoregressive Neural Emulators of PDEs Felix Koehler, Simon Niedermayr, Rüdiger Westermann, Nils Thuerey
Datasets and Benchmarks Track
Conditional Controllable Image Fusion Bing Cao, Xingxin Xu, Pengfei Zhu, Qilong Wang, Qinghua Hu
Main Conference Track
Neural P$^3$M: A Long-Range Interaction Modeling Enhancer for Geometric GNNs Yusong Wang, Chaoran Cheng, Shaoning Li, Yuxuan Ren, Bin Shao, Ge Liu, Pheng-Ann Heng, Nanning Zheng
Main Conference Track
EyeGraph: Modularity-aware Spatio Temporal Graph Clustering for Continuous Event-based Eye Tracking Nuwan Bandara, Thivya Kandappu, Argha Sen, Ila Gokarn, Archan Misra
Datasets and Benchmarks Track
Understanding and Improving Adversarial Collaborative Filtering for Robust Recommendation Kaike Zhang, Qi Cao, Yunfan Wu, Fei Sun, Huawei Shen, Xueqi Cheng
Main Conference Track
GL-NeRF: Gauss-Laguerre Quadrature Enables Training-Free NeRF Acceleration Silong Yong, Yaqi Xie, Simon Stepputtis, Katia Sycara
Main Conference Track
Scalable Bayesian Optimization via Focalized Sparse Gaussian Processes Yunyue Wei, Vincent Zhuang, Saraswati Soedarmadji, Yanan Sui
Main Conference Track
ZeroMark: Towards Dataset Ownership Verification without Disclosing Watermark Junfeng Guo, Yiming Li, Ruibo Chen, Yihan Wu, Chenxi Liu, Heng Huang
Main Conference Track
Meaningful Learning: Enhancing Abstract Reasoning in Large Language Models via Generic Fact Guidance Kai Xiong, Xiao Ding, Ting Liu, Bing Qin, Dongliang Xu, Qing Yang, Hongtao Liu, Yixin Cao
Main Conference Track
EGSST: Event-based Graph Spatiotemporal Sensitive Transformer for Object Detection Sheng Wu, Hang Sheng, Hui Feng, Bo Hu
Main Conference Track
Learning the Latent Causal Structure for Modeling Label Noise Yexiong Lin, Yu Yao, Tongliang Liu
Main Conference Track
Unleashing Region Understanding in Intermediate Layers for MLLM-based Referring Expression Generation Yaoyuan Liang, Zhuojun Cai, Jian Xu, Guanbo Huang, Yiran Wang, Xiao Liang, Jiahao Liu, Ziran Li, Jingang Wang, Shao-Lun Huang
Main Conference Track
Is Behavior Cloning All You Need? Understanding Horizon in Imitation Learning Dylan J. Foster, Adam Block, Dipendra Misra
Main Conference Track
Dimension-free Private Mean Estimation for Anisotropic Distributions Yuval Dagan, Michael I. Jordan, Xuelin Yang, Lydia Zakynthinou, Nikita Zhivotovskiy
Main Conference Track
DreamSteerer: Enhancing Source Image Conditioned Editability using Personalized Diffusion Models Zhengyang Yu, Zhaoyuan Yang, Jing Zhang
Main Conference Track
A Synthetic Dataset for Personal Attribute Inference Hanna Yukhymenko, Robin Staab, Mark Vero, Martin Vechev
Datasets and Benchmarks Track
Weisfeiler and Leman Go Loopy: A New Hierarchy for Graph Representational Learning Raffaele Paolino, Sohir Maskey, Pascal Welke, Gitta Kutyniok
Main Conference Track
Newton Informed Neural Operator for Solving Nonlinear Partial Differential Equations Wenrui Hao, Xinliang Liu, Yahong Yang
Main Conference Track
Antigen-Specific Antibody Design via Direct Energy-based Preference Optimization Xiangxin Zhou, Dongyu Xue, Ruizhe Chen, Zaixiang Zheng, Liang Wang, Quanquan Gu
Main Conference Track
Towards a Scalable Reference-Free Evaluation of Generative Models Azim Ospanov, Jingwei Zhang, Mohammad Jalali, Xuenan Cao, Andrej Bogdanov, Farzan Farnia
Main Conference Track
EMVP: Embracing Visual Foundation Model for Visual Place Recognition with Centroid-Free Probing Qibo Qiu, Shun Zhang, Haiming Gao, Honghui Yang, Haochao Ying, Wenxiao Wang, Xiaofei He
Main Conference Track
Parameter Disparities Dissection for Backdoor Defense in Heterogeneous Federated Learning Wenke Huang, Mang Ye, Zekun Shi, Guancheng Wan, He Li, Bo Du
Main Conference Track
PSL: Rethinking and Improving Softmax Loss from Pairwise Perspective for Recommendation Weiqin Yang, Jiawei Chen, Xin Xin, Sheng Zhou, Binbin Hu, Yan Feng, Chun Chen, Can Wang
Main Conference Track
An Autoencoder-Like Nonnegative Matrix Co-Factorization for Improved Student Cognitive Modeling Shenbao Yu, Yinghui Pan, Yifeng Zeng, Prashant Doshi, Guoquan Liu, Kim-Leng Poh, Mingwei Lin
Main Conference Track
PiSSA: Principal Singular Values and Singular Vectors Adaptation of Large Language Models Fanxu Meng, Zhaohui Wang, Muhan Zhang
Main Conference Track
Provably Efficient Interactive-Grounded Learning with Personalized Reward Mengxiao Zhang, Yuheng Zhang, Haipeng Luo, Paul Mineiro
Main Conference Track
ANT: Adaptive Noise Schedule for Time Series Diffusion Models Seunghan Lee, Kibok Lee, Taeyoung Park
Main Conference Track
Suitable is the Best: Task-Oriented Knowledge Fusion in Vulnerability Detection Jingjing Wang, Minhuan Huang, Yuanpin Nie, Xiang Li, Qianjin Du, Wei Kong, Huan Deng, Xiaohui Kuang
Main Conference Track
RankRAG: Unifying Context Ranking with Retrieval-Augmented Generation in LLMs Yue Yu, Wei Ping, Zihan Liu, Boxin Wang, Jiaxuan You, Chao Zhang, Mohammad Shoeybi, Bryan Catanzaro
Main Conference Track
Convolutional Differentiable Logic Gate Networks Felix Petersen, Hilde Kuehne, Christian Borgelt, Julian Welzel, Stefano Ermon
Main Conference Track
Discrete Modeling via Boundary Conditional Diffusion Processes Yuxuan Gu, Xiaocheng Feng, Lei Huang, Yingsheng Wu, Zekun Zhou, Weihong Zhong, Kun Zhu, Bing Qin
Main Conference Track
SampDetox: Black-box Backdoor Defense via Perturbation-based Sample Detoxification Yanxin Yang, Chentao Jia, DengKe Yan, Ming Hu, Tianlin Li, Xiaofei Xie, Xian Wei, Mingsong Chen
Main Conference Track
RashomonGB: Analyzing the Rashomon Effect and Mitigating Predictive Multiplicity in Gradient Boosting Hsiang Hsu, Ivan Brugere, Shubham Sharma, Freddy Lecue, Chun-Fu Chen
Main Conference Track
Federated Natural Policy Gradient and Actor Critic Methods for Multi-task Reinforcement Learning Tong Yang, Shicong Cen, Yuting Wei, Yuxin Chen, Yuejie Chi
Main Conference Track
Extending Video Masked Autoencoders to 128 frames Nitesh B. Gundavarapu, Luke Friedman, Raghav Goyal, Chaitra Hegde, Eirikur Agustsson, Sagar Waghmare, Mikhail Sirotenko, Ming-Hsuan Yang, Tobias Weyand, Boqing Gong, Leonid Sigal
Main Conference Track
Robust Contrastive Multi-view Clustering against Dual Noisy Correspondence Ruiming Guo, Mouxing Yang, Yijie Lin, Xi Peng, Peng Hu
Main Conference Track
Toward Semantic Gaze Target Detection Samy Tafasca, Anshul Gupta, Victor Bros, Jean-Marc Odobez
Main Conference Track
Conformalized Time Series with Semantic Features Baiting Chen, Zhimei Ren, Lu Cheng
Main Conference Track
CogVLM: Visual Expert for Pretrained Language Models Weihan Wang, Qingsong Lv, Wenmeng Yu, Wenyi Hong, Ji Qi, Yan Wang, Junhui Ji, Zhuoyi Yang, Lei Zhao, Xixuan Song, Jiazheng Xu, Keqin Chen, Bin Xu, Juanzi Li, Yuxiao Dong, Ming Ding, Jie Tang
Main Conference Track
MeLLoC: Lossless Compression with High-order Mechanism Learning Xinyue Luo, Jin Cheng, Yu Chen
Main Conference Track
Unlock the Intermittent Control Ability of Model Free Reinforcement Learning Jiashun Liu, Jianye Hao, Xiaotian Hao, Yi Ma, YAN ZHENG, Yujing Hu, Tangji Lv
Main Conference Track
Neuc-MDS: Non-Euclidean Multidimensional Scaling Through Bilinear Forms Chengyuan Deng, Jie Gao, Kevin Lu, Feng Luo, Hongbin Sun, Cheng Xin
Main Conference Track
No Free Lunch Theorem and Black-Box Complexity Analysis for Adversarial Optimisation Per Kristian Lehre, Shishen Lin
Main Conference Track
The Group Robustness is in the Details: Revisiting Finetuning under Spurious Correlations Tyler LaBonte, John C. Hill, Xinchen Zhang, Vidya Muthukumar, Abhishek Kumar
Main Conference Track
Learning Identifiable Factorized Causal Representations of Cellular Responses Haiyi Mad, Romain Lopez, Kai Liu, Jan-Christian Huetter, David Richmond, Panayiotis V. Benos, Lin Qiu
Main Conference Track
SimVG: A Simple Framework for Visual Grounding with Decoupled Multi-modal Fusion Ming Dai, Lingfeng Yang, Yihao Xu, Zhenhua Feng, Wankou Yang
Main Conference Track
Utilizing Image Transforms and Diffusion Models for Generative Modeling of Short and Long Time Series Ilan Naiman, Nimrod Berman, Itai Pemper, Idan Arbiv, Gal Fadlon, Omri Azencot
Main Conference Track
Collaboration! Towards Robust Neural Methods for Routing Problems Jianan Zhou, Yaoxin Wu, Zhiguang Cao, Wen Song, Jie Zhang, Zhiqi Shen
Main Conference Track
Subsurface Scattering for Gaussian Splatting Jan-Niklas Dihlmann, Arjun Majumdar, Andreas Engelhardt, Raphael Braun, Hendrik P.A. Lensch
Main Conference Track
A Simple Framework for Generalization in Visual RL under Dynamic Scene Perturbations Wonil Song, Hyesong Choi, Kwanghoon Sohn, Dongbo Min
Main Conference Track
Spherical Frustum Sparse Convolution Network for LiDAR Point Cloud Semantic Segmentation Yu Zheng, Guangming Wang, Jiuming Liu, Marc Pollefeys, Hesheng Wang
Main Conference Track
Direct3D: Scalable Image-to-3D Generation via 3D Latent Diffusion Transformer Shuang Wu, Youtian Lin, Feihu Zhang, Yifei Zeng, Jingxi Xu, Philip Torr, Xun Cao, Yao Yao
Main Conference Track
Optimal Multi-Fidelity Best-Arm Identification Riccardo Poiani, Rémy Degenne, Emilie Kaufmann, Alberto Maria Metelli, Marcello Restelli
Main Conference Track
Adaptive Experimentation When You Can't Experiment Yao Zhao, Kwang-Sung Jun, Tanner Fiez, Lalit Jain
Main Conference Track
Accelerating Non-Maximum Suppression: A Graph Theory Perspective King-Siong Si, Lu Sun, Weizhan Zhang, Tieliang Gong, Jiahao Wang, Jiang Liu, Hao Sun
Main Conference Track
Targeted Sequential Indirect Experiment Design Elisabeth Ailer, Niclas Dern, Jason Hartford, Niki Kilbertus
Main Conference Track
On Learning Multi-Modal Forgery Representation for Diffusion Generated Video Detection Xiufeng Song, Xiao Guo, Jiache Zhang, Qirui Li, Lei Bai, Xiaoming Liu, Guangtao Zhai, Xiaohong Liu
Main Conference Track
Robot Policy Learning with Temporal Optimal Transport Reward Yuwei Fu, Haichao Zhang, Di Wu, Wei Xu, Benoit Boulet
Main Conference Track
EvolveDirector: Approaching Advanced Text-to-Image Generation with Large Vision-Language Models Rui Zhao, Hangjie Yuan, Yujie Wei, Shiwei Zhang, Yuchao Gu, Lingmin Ran, Xiang Wang, Zhangjie Wu, Junhao Zhang, Yingya Zhang, Mike Zheng Shou
Main Conference Track
A Non-parametric Direct Learning Approach to Heterogeneous Treatment Effect Estimation under Unmeasured Confounding Xinhai Zhang, Xingye Qiao
Main Conference Track
AutoTimes: Autoregressive Time Series Forecasters via Large Language Models Yong Liu, Guo Qin, Xiangdong Huang, Jianmin Wang, Mingsheng Long
Main Conference Track
UNIT: Unifying Image and Text Recognition in One Vision Encoder Yi Zhu, Yanpeng Zhou, Chunwei Wang, Yang Cao, Jianhua Han, Lu Hou, Hang Xu
Main Conference Track
Direct Preference-Based Evolutionary Multi-Objective Optimization with Dueling Bandits Tian Huang, Shengbo Wang, Ke Li
Main Conference Track
Zipfian Whitening Sho Yokoi, Han Bao, Hiroto Kurita, Hidetoshi Shimodaira
Main Conference Track
Stronger Than You Think: Benchmarking Weak Supervision on Realistic Tasks Tianyi Zhang, Linrong Cai, Jeffrey Li, Nicholas Roberts, Neel Guha, Frederic Sala
Datasets and Benchmarks Track
Stochastic Taylor Derivative Estimator: Efficient amortization for arbitrary differential operators Zekun Shi, Zheyuan Hu, Min Lin, Kenji Kawaguchi
Main Conference Track
Synergistic Dual Spatial-aware Generation of Image-to-text and Text-to-image Yu Zhao, Hao Fei, Xiangtai Li, Libo Qin, Jiayi Ji, Hongyuan Zhu, Meishan Zhang, Min Zhang, Jianguo Wei
Main Conference Track
Improving Neural Network Surface Processing with Principal Curvatures Josquin Harrison, James Benn, Maxime Sermesant
Main Conference Track
Evaluating alignment between humans and neural network representations in image-based learning tasks Can Demircan, Tankred Saanum, Leonardo Pettini, Marcel Binz, Blazej M Baczkowski, Christian F Doeller, Mona M Garvert, Eric Schulz
Main Conference Track
LP-3DGS: Learning to Prune 3D Gaussian Splatting Zhaoliang Zhang, Tianchen Song, Yongjae Lee, Li Yang, Cheng Peng, Rama Chellappa, Deliang Fan
Main Conference Track
Applying Guidance in a Limited Interval Improves Sample and Distribution Quality in Diffusion Models Tuomas Kynkäänniemi, Miika Aittala, Tero Karras, Samuli Laine, Timo Aila, Jaakko Lehtinen
Main Conference Track
A Sober Look at the Robustness of CLIPs to Spurious Features Qizhou Wang, Yong Lin, Yongqiang Chen, Ludwig Schmidt, Bo Han, Tong Zhang
Main Conference Track
Non-Asymptotic Uncertainty Quantification in High-Dimensional Learning Frederik Hoppe, Claudio Mayrink Verdun, Hannah Laus, Felix Krahmer, Holger Rauhut
Main Conference Track
DiffuserLite: Towards Real-time Diffusion Planning Zibin Dong, Jianye Hao, Yifu Yuan, Fei Ni, Yitian Wang, Pengyi Li, Yan Zheng
Main Conference Track
GLinSAT: The General Linear Satisfiability Neural Network Layer By Accelerated Gradient Descent Hongtai Zeng, Chao Yang, Yanzhen Zhou, Cheng Yang, Qinglai Guo
Main Conference Track
Randomized Sparse Matrix Compression for Large-Scale Constrained Optimization in Cancer Radiotherapy Shima Adeli, Mojtaba Tefagh, Gourav Jhanwar, Masoud Zarepisheh
Main Conference Track
On the Optimal Time Complexities in Decentralized Stochastic Asynchronous Optimization Alexander Tyurin, Peter Richtárik
Main Conference Track
Prompt Optimization with EASE? Efficient Ordering-aware Automated Selection of Exemplars Zhaoxuan Wu, Xiaoqiang Lin, Zhongxiang Dai, Wenyang Hu, Yao Shu, See-Kiong Ng, Patrick Jaillet, Bryan Kian Hsiang Low
Main Conference Track
EMR-Merging: Tuning-Free High-Performance Model Merging Chenyu Huang, Peng Ye, Tao Chen, Tong He, Xiangyu Yue, Wanli Ouyang
Main Conference Track
On the Convergence of Loss and Uncertainty-based Active Learning Algorithms Daniel Haimovich, Dima Karamshuk, Fridolin Linder, Niek Tax, Milan Vojnović
Main Conference Track
Alleviating Hallucinations in Large Vision-Language Models through Hallucination-Induced Optimization Xinyu Lyu, Beitao Chen, Lianli Gao, Jingkuan Song, Heng Tao Shen
Main Conference Track
DeepLag: Discovering Deep Lagrangian Dynamics for Intuitive Fluid Prediction Qilong Ma, Haixu Wu, Lanxiang Xing, Shangchen Miao, Mingsheng Long
Main Conference Track
Towards Neuron Attributions in Multi-Modal Large Language Models Junfeng Fang, Zongze Bi, Ruipeng Wang, Houcheng Jiang, Yuan Gao, Kun Wang, An Zhang, Jie Shi, Xiang Wang, Tat-Seng Chua
Main Conference Track
IPM-LSTM: A Learning-Based Interior Point Method for Solving Nonlinear Programs Xi Gao, Jinxin Xiong, Akang Wang, Qihong Duan, Jiang Xue, Qingjiang Shi
Main Conference Track
Cross-Device Collaborative Test-Time Adaptation Guohao Chen, Shuaicheng Niu, Deyu Chen, Shuhai Zhang, Changsheng Li, Yuanqing Li, Mingkui Tan
Main Conference Track
Procedure-Aware Surgical Video-language Pretraining with Hierarchical Knowledge Augmentation Kun Yuan, Vinkle Srivastav, Nassir Navab, Nicolas Padoy
Main Conference Track
Decomposed Prompt Decision Transformer for Efficient Unseen Task Generalization Hongling Zheng, Li Shen, Yong Luo, Tongliang Liu, Jialie Shen, Dacheng Tao
Main Conference Track
DiffuLT: Diffusion for Long-tail Recognition Without External Knowledge Jie Shao, Ke Zhu, Hanxiao Zhang, Jianxin Wu
Main Conference Track
SG-Bench: Evaluating LLM Safety Generalization Across Diverse Tasks and Prompt Types Yutao Mou, Shikun Zhang, Wei Ye
Datasets and Benchmarks Track
Prospective Learning: Learning for a Dynamic Future Ashwin De Silva, Rahul Ramesh, Rubing Yang, Siyu Yu, Joshua T. Vogelstein, Pratik Chaudhari
Main Conference Track
MetaCURL: Non-stationary Concave Utility Reinforcement Learning Bianca Marin Moreno, Margaux Brégère, Pierre Gaillard, Nadia Oudjane
Main Conference Track
UrbanKGent: A Unified Large Language Model Agent Framework for Urban Knowledge Graph Construction Yansong Ning, Hao Liu
Main Conference Track
MotionCraft: Physics-Based Zero-Shot Video Generation Antonio Montanaro, Luca Savant Aira, Emanuele Aiello, Diego Valsesia, Enrico Magli
Main Conference Track
Not Just Object, But State: Compositional Incremental Learning without Forgetting Yanyi Zhang, Binglin Qiu, Qi Jia, Yu Liu, Ran He
Main Conference Track
What Factors Affect Multi-Modal In-Context Learning? An In-Depth Exploration Libo Qin, Qiguang Chen, Hao Fei, Zhi Chen, Min Li, Wanxiang Che
Main Conference Track
Multi-Object 3D Grounding with Dynamic Modules and Language-Informed Spatial Attention Haomeng Zhang, Chiao-An Yang, Raymond A. Yeh
Main Conference Track
Continuously Learning, Adapting, and Improving: A Dual-Process Approach to Autonomous Driving Jianbiao Mei, Yukai Ma, Xuemeng Yang, Licheng Wen, Xinyu Cai, Xin Li, Daocheng Fu, Bo Zhang, Pinlong Cai, Min Dou, Botian Shi, Liang He, Yong Liu, Yu Qiao
Main Conference Track
Stochastic Optimal Control and Estimation with Multiplicative and Internal Noise Francesco Damiani, Akiyuki Anzai, Jan Drugowitsch, Gregory C. DeAngelis, Rubén Moreno-Bote
Main Conference Track
Relational Verification Leaps Forward with RABBit Tarun Suresh, Debangshu Banerjee, Gagandeep Singh
Main Conference Track
DiffLight: A Partial Rewards Conditioned Diffusion Model for Traffic Signal Control with Missing Data Hanyang Chen, Yang Jiang, Shengnan Guo, Xiaowei Mao, Youfang Lin, Huaiyu Wan
Main Conference Track
Latent Plan Transformer for Trajectory Abstraction: Planning as Latent Space Inference Deqian Kong, Dehong Xu, Minglu Zhao, Bo Pang, Jianwen Xie, Andrew Lizarraga, Yuhao Huang, Sirui Xie, Ying Nian Wu
Main Conference Track
Persistent Test-time Adaptation in Recurring Testing Scenarios Trung-Hieu Hoang, Duc Minh Vo, Minh N. Do
Main Conference Track
GraphTrail: Translating GNN Predictions into Human-Interpretable Logical Rules Burouj Armgaan, Manthan Dalmia, Sourav Medya, Sayan Ranu
Main Conference Track
Richelieu: Self-Evolving LLM-Based Agents for AI Diplomacy Zhenyu Guan, Xiangyu Kong, Fangwei Zhong, Yizhou Wang
Main Conference Track
Deep Learning Through A Telescoping Lens: A Simple Model Provides Empirical Insights On Grokking, Gradient Boosting & Beyond Alan Jeffares, Alicia Curth, Mihaela van der Schaar
Main Conference Track
Towards Understanding Extrapolation: a Causal Lens Lingjing Kong, Guangyi Chen, Petar Stojanov, Haoxuan Li, Eric P. Xing, Kun Zhang
Main Conference Track
Subject-driven Text-to-Image Generation via Preference-based Reinforcement Learning Yanting Miao, William Loh, Suraj Kothawade, Pascal Poupart, Abdullah Rashwan, Yeqing Li
Main Conference Track
Rethinking Optimal Transport in Offline Reinforcement Learning Arip Asadulaev, Rostislav Korst, Alexander Korotin, Vage Egiazarian, Andrey Filchenkov, Evgeny Burnaev
Main Conference Track
Preference Learning of Latent Decision Utilities with a Human-like Model of Preferential Choice Sebastiaan De Peuter, Shibei Zhu, Yujia Guo, Andrew Howes, Samuel Kaski
Main Conference Track
No-regret Learning in Harmonic Games: Extrapolation in the Face of Conflicting Interests Davide Legacci, Panayotis Mertikopoulos, Christos Papadimitriou, Georgios Piliouras, Bary Pradelski
Main Conference Track
Stochastic Extragradient with Flip-Flop Shuffling & Anchoring: Provable Improvements Jiseok Chae, Chulhee Yun, Donghwan Kim
Main Conference Track
Precise asymptotics of reweighted least-squares algorithms for linear diagonal networks Chiraag Kaushik, Justin Romberg, Vidya Muthukumar
Main Conference Track
Grid4D: 4D Decomposed Hash Encoding for High-Fidelity Dynamic Gaussian Splatting Jiawei Xu, Zexin Fan, Jian Yang, Jin Xie
Main Conference Track
Reconstructing the Image Stitching Pipeline: Integrating Fusion and Rectangling into a Unified Inpainting Model Ziqi Xie, Weidong Zhao, Xianhui Liu, Jian Zhao, Ning Jia
Main Conference Track
Can Language Models Perform Robust Reasoning in Chain-of-thought Prompting with Noisy Rationales? Zhanke Zhou, Rong Tao, Jianing Zhu, Yiwen Luo, Zengmao Wang, Bo Han
Main Conference Track
Metric Space Magnitude for Evaluating the Diversity of Latent Representations Katharina Limbeck, Rayna Andreeva, Rik Sarkar, Bastian Rieck
Main Conference Track
Particle Semi-Implicit Variational Inference Jen Ning Lim, Adam M. Johansen
Main Conference Track
Rethinking the Capacity of Graph Neural Networks for Branching Strategy Ziang Chen, Jialin Liu, Xiaohan Chen, Xinshang Wang, Wotao Yin
Main Conference Track
Higher-Rank Irreducible Cartesian Tensors for Equivariant Message Passing Viktor Zaverkin, Francesco Alesiani, Takashi Maruyama, Federico Errica, Henrik Christiansen, Makoto Takamoto, Nicolas Weber, Mathias Niepert
Main Conference Track
LLM Dataset Inference: Did you train on my dataset? Pratyush Maini, Hengrui Jia, Nicolas Papernot, Adam Dziedzic
Main Conference Track
Robust Reinforcement Learning from Corrupted Human Feedback Alexander Bukharin, Ilgee Hong, Haoming Jiang, Zichong Li, Qingru Zhang, Zixuan Zhang, Tuo Zhao
Main Conference Track
RobIR: Robust Inverse Rendering for High-Illumination Scenes Ziyi Yang, Yanzhen Chen, Xinyu Gao, Yazhen Yuan, Yu Wu, Xiaowei Zhou, Xiaogang Jin
Main Conference Track
Crafting Interpretable Embeddings for Language Neuroscience by Asking LLMs Questions Vinamra Benara, Chandan Singh, John X. Morris, Richard J. Antonello, Ion Stoica, Alexander G. Huth, Jianfeng Gao
Main Conference Track
Learning-Augmented Priority Queues Ziyad Benomar, Christian Coester
Main Conference Track
SimPO: Simple Preference Optimization with a Reference-Free Reward Yu Meng, Mengzhou Xia, Danqi Chen
Main Conference Track
The Power of Extrapolation in Federated Learning Hanmin Li, Kirill Acharya, Peter Richtárik
Main Conference Track
Getting More Juice Out of the SFT Data: Reward Learning from Human Demonstration Improves SFT for LLM Alignment Jiaxiang Li, Siliang Zeng, Hoi-To Wai, Chenliang Li, Alfredo Garcia, Mingyi Hong
Main Conference Track
Moving Off-the-Grid: Scene-Grounded Video Representations Sjoerd van Steenkiste, Daniel Zoran, Yi Yang, Yulia Rubanova, Rishabh Kabra, Carl Doersch, Dilara Gokay, Joseph Heyward, Etienne Pot, Klaus Greff, Drew A. Hudson, Thomas Albert Keck, Joao Carreira, Alexey Dosovitskiy, Mehdi S. M. Sajjadi, Thomas Kipf
Main Conference Track
Accuracy is Not All You Need Abhinav Dutta, Sanjeev Krishnan, Nipun Kwatra, Ramachandran Ramjee
Main Conference Track
LoCo: Learning 3D Location-Consistent Image Features with a Memory-Efficient Ranking Loss Dominik A. Kloepfer, João Henriques, Dylan Campbell
Main Conference Track
Scaling Proprioceptive-Visual Learning with Heterogeneous Pre-trained Transformers Lirui Wang, Xinlei Chen, Jialiang Zhao, Kaiming He
Main Conference Track
FairWire: Fair Graph Generation O. Deniz Kose, Yanning Shen
Main Conference Track
ACFun: Abstract-Concrete Fusion Facial Stylization Jiapeng Ji, Kun Wei, Ziqi Zhang, Cheng Deng
Main Conference Track
Learning Optimal Tax Design in Nonatomic Congestion Games Qiwen Cui, Maryam Fazel, Simon S. Du
Main Conference Track
Pedestrian Trajectory Prediction with Missing Data: Datasets, Imputation, and Benchmarking Pranav Singh Chib, Pravendra Singh
Datasets and Benchmarks Track
Large Language Models as Urban Residents: An LLM Agent Framework for Personal Mobility Generation Jiawei Wang, Renhe Jiang, Chuang Yang, Zengqing Wu, Makoto Onizuka, Ryosuke Shibasaki, Noboru Koshizuka, Chuan Xiao
Main Conference Track
EHRNoteQA: An LLM Benchmark for Real-World Clinical Practice Using Discharge Summaries Sunjun Kweon, Jiyoun Kim, Heeyoung Kwak, Dongchul Cha, Hangyul Yoon, Kwanghyun Kim, Jeewon Yang, Seunghyun Won, Edward Choi
Datasets and Benchmarks Track
Distributional Successor Features Enable Zero-Shot Policy Optimization Chuning Zhu, Xinqi Wang, Tyler Han, Simon Shaolei Du, Abhishek Gupta
Main Conference Track
A Unified Confidence Sequence for Generalized Linear Models, with Applications to Bandits Jungyhun Lee, Se-Young Yun, Kwang-Sung Jun
Main Conference Track
Transductive Active Learning: Theory and Applications Jonas Hübotter, Bhavya Sukhija, Lenart Treven, Yarden As, Andreas Krause
Main Conference Track
On the Curses of Future and History in Future-dependent Value Functions for Off-policy Evaluation Yuheng Zhang, Nan Jiang
Main Conference Track
CausalDiff: Causality-Inspired Disentanglement via Diffusion Model for Adversarial Defense Mingkun Zhang, Keping Bi, Wei Chen, Quanrun Chen, Jiafeng Guo, Xueqi Cheng
Main Conference Track
A Method for Evaluating Hyperparameter Sensitivity in Reinforcement Learning Jacob Adkins, Michael Bowling, Adam White
Main Conference Track
Almost Surely Asymptotically Constant Graph Neural Networks Sam Adam-Day, Michael Benedikt, İsmail İlkan Ceylan, Ben Finkelshtein
Main Conference Track
Identifying Latent State-Transition Processes for Individualized Reinforcement Learning Yuewen Sun, Biwei Huang, Yu Yao, Donghuo Zeng, Xinshuai Dong, Songyao Jin, Boyang Sun, Roberto Legaspi, Kazushi Ikeda, Peter Spirtes, Kun Zhang
Main Conference Track
SpaceByte: Towards Deleting Tokenization from Large Language Modeling Kevin Slagle
Main Conference Track
Open-Vocabulary Object Detection via Language Hierarchy Jiaxing Huang, Jingyi Zhang, Kai Jiang, Shijian Lu
Main Conference Track
Tolerant Algorithms for Learning with Arbitrary Covariate Shift Surbhi Goel, Abhishek Shetty, Konstantinos Stavropoulos, Arsen Vasilyan
Main Conference Track
Confidence Regulation Neurons in Language Models Alessandro Stolfo, Ben Wu, Wes Gurnee, Yonatan Belinkov, Xingyi Song, Mrinmaya Sachan, Neel Nanda
Main Conference Track
Invariant Tokenization of Crystalline Materials for Language Model Enabled Generation Keqiang Yan, Xiner Li, Hongyi Ling, Kenna Ashen, Carl Edwards, Raymundo Arróyave, Marinka Zitnik, Heng Ji, Xiaofeng Qian, Xiaoning Qian, Shuiwang Ji
Main Conference Track
Adaptive Passive-Aggressive Framework for Online Regression with Side Information Runhao Shi, Jiaxi Ying, Daniel P. Palomar
Main Conference Track
Assembly Fuzzy Representation on Hypergraph for Open-Set 3D Object Retrieval Yang Xu, Yifan Feng, Jun Zhang, Jun-Hai Yong, Yue Gao
Main Conference Track
Unique3D: High-Quality and Efficient 3D Mesh Generation from a Single Image Kailu Wu, Fangfu Liu, Zhihan Cai, Runjie Yan, Hanyang Wang, Yating Hu, Yueqi Duan, Kaisheng Ma
Main Conference Track
Hierarchical Uncertainty Exploration via Feedforward Posterior Trees Elias Nehme, Rotem Mulayoff, Tomer Michaeli
Main Conference Track
Efficient $\Phi$-Regret Minimization with Low-Degree Swap Deviations in Extensive-Form Games Brian Hu Zhang, Ioannis Anagnostides, Gabriele Farina, Tuomas Sandholm
Main Conference Track
fMRI predictors based on language models of increasing complexity recover brain left lateralization Laurent Bonnasse-Gahot, Christophe Pallier
Main Conference Track
Humor in AI: Massive Scale Crowd-Sourced Preferences and Benchmarks for Cartoon Captioning Jifan Zhang, Lalit Jain, Yang Guo, Jiayi Chen, Kuan Lok Zhou, Siddharth Suresh, Andrew Wagenmaker, Scott Sievert, Timothy Rogers, Kevin Jamieson, Robert Mankoff, Robert Nowak
Datasets and Benchmarks Track
ResAD: A Simple Framework for Class Generalizable Anomaly Detection Xincheng Yao, Zixin Chen, Chao Gao, Guangtao Zhai, Chongyang Zhang
Main Conference Track
Textual Training for the Hassle-Free Removal of Unwanted Visual Data: Case Studies on OOD and Hateful Image Detection Saehyung Lee, Jisoo Mok, Sangha Park, Yongho Shin, Dahuin Jung, Sungroh Yoon
Main Conference Track
Neural Pfaffians: Solving Many Many-Electron Schrödinger Equations Nicholas Gao, Stephan Günnemann
Main Conference Track
Dynamic Rescaling for Training GNNs Nimrah Mustafa, Rebekka Burkholz
Main Conference Track
GS-Blur: A 3D Scene-Based Dataset for Realistic Image Deblurring Dongwoo Lee, Joonkyu Park, Kyoung Mu Lee
Datasets and Benchmarks Track
A StrongREJECT for Empty Jailbreaks Alexandra Souly, Qingyuan Lu, Dillon Bowen, Tu Trinh, Elvis Hsieh, Sana Pandey, Pieter Abbeel, Justin Svegliato, Scott Emmons, Olivia Watkins, Sam Toyer
Datasets and Benchmarks Track
Return of Unconditional Generation: A Self-supervised Representation Generation Method Tianhong Li, Dina Katabi, Kaiming He
Main Conference Track
Instance-adaptive Zero-shot Chain-of-Thought Prompting Xiaosong Yuan, Chen Shen, Shaotian Yan, Xiaofeng Zhang, Liang Xie, Wenxiao Wang, Renchu Guan, Ying Wang, Jieping Ye
Main Conference Track
ReNO: Enhancing One-step Text-to-Image Models through Reward-based Noise Optimization Luca Eyring, Shyamgopal Karthik, Karsten Roth, Alexey Dosovitskiy, Zeynep Akata
Main Conference Track
IMPACT: A Large-scale Integrated Multimodal Patent Analysis and Creation Dataset for Design Patents Homaira Huda Shomee, Zhu Wang, Sourav Medya, Sathya N. Ravi
Datasets and Benchmarks Track
Federated Online Prediction from Experts with Differential Privacy: Separations and Regret Speed-ups Fengyu Gao, Ruiquan Huang, Jing Yang
Main Conference Track
Reconstruct and Match: Out-of-Distribution Robustness via Topological Homogeneity Chaoqi Chen, Luyao Tang, Hui Huang
Main Conference Track
VeXKD: The Versatile Integration of Cross-Modal Fusion and Knowledge Distillation for 3D Perception Yuzhe JI, Yijie Chen, Liuqing Yang, Rui Ding, Meng Yang, Xinhu Zheng
Main Conference Track
From Text to Trajectory: Exploring Complex Constraint Representation and Decomposition in Safe Reinforcement Learning Pusen Dong, Tianchen Zhu, Yue Qiu, Haoyi Zhou, Jianxin Li
Main Conference Track
User-Creator Feature Polarization in Recommender Systems with Dual Influence Tao Lin, Kun Jin, Andrew Estornell, Xiaoying Zhang, Yiling Chen, Yang Liu
Main Conference Track
Privacy without Noisy Gradients: Slicing Mechanism for Generative Model Training Kristjan Greenewald, Yuancheng Yu, Hao Wang, Kai Xu
Main Conference Track
Universality in Transfer Learning for Linear Models Reza Ghane, Danil Akhtiamov, Babak Hassibi
Main Conference Track
Unraveling Molecular Structure: A Multimodal Spectroscopic Dataset for Chemistry Marvin Alberts, Oliver Schilter, Federico Zipoli, Nina Hartrampf, Teodoro Laino
Datasets and Benchmarks Track
Learning rigid-body simulators over implicit shapes for large-scale scenes and vision Yulia Rubanova, Tatiana Lopez-Guevara, Kelsey R. Allen, William F. Whitney, Kimberly Stachenfeld, Tobias Pfaff
Main Conference Track
Convergence of $\text{log}(1/\epsilon)$ for Gradient-Based Algorithms in Zero-Sum Games without the Condition Number: A Smoothed Analysis Ioannis Anagnostides, Tuomas Sandholm
Main Conference Track
Animate3D: Animating Any 3D Model with Multi-view Video Diffusion Yanqin Jiang, Chaohui Yu, Chenjie Cao, Fan Wang, Weiming Hu, Jin Gao
Main Conference Track
Skinned Motion Retargeting with Dense Geometric Interaction Perception Zijie Ye, Jia-Wei Liu, Jia Jia, Shikun Sun, Mike Zheng Shou
Main Conference Track
Fair Allocation in Dynamic Mechanism Design Alireza Fallah, Michael I. Jordan, Annie Ulichney
Main Conference Track
Who's asking? User personas and the mechanics of latent misalignment Asma Ghandeharioun, Ann Yuan, Marius Guerard, Emily Reif, Michael A. Lepori, Lucas Dixon
Main Conference Track
Instruction-Guided Visual Masking Jinliang Zheng, Jianxiong Li, Sijie Cheng, Yinan Zheng, Jiaming Li, Jihao Liu, Yu Liu, Jingjing Liu, Xianyuan Zhan
Main Conference Track
SELF-DISCOVER: Large Language Models Self-Compose Reasoning Structures Pei Zhou, Jay Pujara, Xiang Ren, Xinyun Chen, Heng-Tze Cheng, Quoc V. Le, Ed H. Chi, Denny Zhou, Swaroop Mishra, Huaixiu Steven Zheng
Main Conference Track
Bandits with Abstention under Expert Advice Stephen Pasteris, Alberto Rumi, Maximilian Thiessen, Shota Saito, Atsushi Miyauchi, Fabio Vitale, Mark Herbster
Main Conference Track
Improved Algorithms for Contextual Dynamic Pricing Matilde Tullii, Solenne Gaucher, Nadav Merlis, Vianney Perchet
Main Conference Track
AMOR: A Recipe for Building Adaptable Modular Knowledge Agents Through Process Feedback Jian Guan, Wei Wu, Zujie Wen, Peng Xu, Hongning Wang, Minlie Huang
Main Conference Track
Slight Corruption in Pre-training Data Makes Better Diffusion Models Hao Chen, Yujin Han, Diganta Misra, Xiang Li, Kai Hu, Difan Zou, Masashi Sugiyama, Jindong Wang, Bhiksha Raj
Main Conference Track
Scaling Laws for Reward Model Overoptimization in Direct Alignment Algorithms Rafael Rafailov, Yaswanth Chittepu, Ryan Park, Harshit Sikchi, Joey Hejna, W. Bradley Knox, Chelsea Finn, Scott Niekum
Main Conference Track
Adversarial Representation Engineering: A General Model Editing Framework for Large Language Models Yihao Zhang, Zeming Wei, Jun Sun, Meng Sun
Main Conference Track
Gradient Cuff: Detecting Jailbreak Attacks on Large Language Models by Exploring Refusal Loss Landscapes Xiaomeng Hu, Pin-Yu Chen, Tsung-Yi Ho
Main Conference Track
Adapting to Unknown Low-Dimensional Structures in Score-Based Diffusion Models Gen Li, Yuling Yan
Main Conference Track
HuRef: HUman-REadable Fingerprint for Large Language Models Boyi Zeng, Lizheng Wang, Yuncong Hu, Yi Xu, Chenghu Zhou, Xinbing Wang, Yu Yu, Zhouhan Lin
Main Conference Track
Last-Iterate Global Convergence of Policy Gradients for Constrained Reinforcement Learning Alessandro Montenegro, Marco Mussi, Matteo Papini, Alberto Maria Metelli
Main Conference Track
The Prevalence of Neural Collapse in Neural Multivariate Regression George Andriopoulos, Zixuan Dong, Li Guo, Zifan Zhao, Keith Ross
Main Conference Track
Toward Dynamic Non-Line-of-Sight Imaging with Mamba Enforced Temporal Consistency Yue Li, Yi Sun, Shida Sun, Juntian Ye, Yueyi Zhang, Feihu Xu, Zhiwei Xiong
Main Conference Track
Quantifying the Gain in Weak-to-Strong Generalization Moses Charikar, Chirag Pabbaraju, Kirankumar Shiragur
Main Conference Track
INQUIRE: A Natural World Text-to-Image Retrieval Benchmark Edward Vendrow, Omiros Pantazis, Alexander Shepard, Gabriel Brostow, Kate E. Jones, Oisin Mac Aodha, Sara Beery, Grant Van Horn
Datasets and Benchmarks Track
Self-playing Adversarial Language Game Enhances LLM Reasoning Pengyu Cheng, Yong Dai, Tianhao Hu, Han Xu, Zhisong Zhang, Lei Han, Nan Du, Xiaolong Li
Main Conference Track
Gorilla: Large Language Model Connected with Massive APIs Shishir G. Patil, Tianjun Zhang, Xin Wang, Joseph E. Gonzalez
Main Conference Track
Coherence-free Entrywise Estimation of Eigenvectors in Low-rank Signal-plus-noise Matrix Models Hao Yan, Keith Levin
Main Conference Track
KALM: Knowledgeable Agents by Offline Reinforcement Learning from Large Language Model Rollouts Jing-Cheng Pang, Si-Hang Yang, Kaiyuan Li, Xiong-Hui Chen, Nan Tang, Yang Yu
Main Conference Track
GeoPlant: Spatial Plant Species Prediction Dataset Lukas Picek, Christophe Botella, Maximilien Servajean, César Leblanc, Rémi Palard, Théo Larcher, Benjamin Deneu, Diego Marcos, Pierre Bonnet, Alexis Joly
Datasets and Benchmarks Track
Hierarchical Programmatic Option Framework Yu-An Lin, Chen-Tao Lee, Chih-Han Yang, Guan-Ting Liu, Shao-Hua Sun
Main Conference Track
IPO: Interpretable Prompt Optimization for Vision-Language Models Yingjun Du, Wenfang Sun, Cees G. M. Snoek
Main Conference Track
Towards Principled Graph Transformers Luis Müller, Daniel Kusuma, Blai Bonet, Christopher Morris
Main Conference Track
Entrywise error bounds for low-rank approximations of kernel matrices Alexander Modell
Main Conference Track
MEQA: A Benchmark for Multi-hop Event-centric Question Answering with Explanations Ruosen Li, Zimu Wang, Son Quoc Tran, Lei Xia, Xinya Du
Datasets and Benchmarks Track
AUCSeg: AUC-oriented Pixel-level Long-tail Semantic Segmentation Boyu Han, Qianqian Xu, Zhiyong Yang, Shilong Bao, Peisong Wen, Yangbangyan Jiang, Qingming Huang
Main Conference Track
Consistency Models for Scalable and Fast Simulation-Based Inference Marvin Schmitt, Valentin Pratz, Ullrich Köthe, Paul-Christian Bürkner, Stefan T. Radev
Main Conference Track
General bounds on the quality of Bayesian coresets Trevor Campbell
Main Conference Track
RLE: A Unified Perspective of Data Augmentation for Cross-Spectral Re-Identification Lei, Tan, Yukang Zhang, Keke Han, Pingyang Dai, Yan Zhang, Yongjian Wu, Rongrong Ji
Main Conference Track
4-bit Shampoo for Memory-Efficient Network Training Sike Wang, Pan Zhou, Jia Li, Hua Huang
Main Conference Track
State Space Models on Temporal Graphs: A First-Principles Study Jintang Li, Ruofan Wu, Xinzhou Jin, Boqun Ma, Liang Chen, Zibin Zheng
Main Conference Track
PUZZLES: A Benchmark for Neural Algorithmic Reasoning Benjamin Estermann, Luca A. Lanzendörfer, Yannick Niedermayr, Roger Wattenhofer
Datasets and Benchmarks Track
DAT: Improving Adversarial Robustness via Generative Amplitude Mix-up in Frequency Domain Fengpeng Li, Kemou Li, Haiwei Wu, Jinyu Tian, Jiantao Zhou
Main Conference Track
STaRK: Benchmarking LLM Retrieval on Textual and Relational Knowledge Bases Shirley Wu, Shiyu Zhao, Michihiro Yasunaga, Kexin Huang, Kaidi Cao, Qian Huang, Vassilis N. Ioannidis, Karthik Subbian, James Zou, Jure Leskovec
Datasets and Benchmarks Track
Protein-Nucleic Acid Complex Modeling with Frame Averaging Transformer Tinglin Huang, Zhenqiao Song, Rex Ying, Wengong Jin
Main Conference Track
Demystify Mamba in Vision: A Linear Attention Perspective Dongchen Han, Ziyi Wang, Zhuofan Xia, Yizeng Han, Yifan Pu, Chunjiang Ge, Jun Song, Shiji Song, Bo Zheng, Gao Huang
Main Conference Track
FewViewGS: Gaussian Splatting with Few View Matching and Multi-stage Training Ruihong Yin, Vladimir Yugay, Yue Li, Sezer Karaoglu, Theo Gevers
Main Conference Track
Theoretical Foundations of Deep Selective State-Space Models Nicola Muca Cirone, Antonio Orvieto, Benjamin Walker, Cristopher Salvi, Terry Lyons
Main Conference Track
Learning Group Actions on Latent Representations Yinzhu Jin, Aman Shrivastava, P. Thomas Fletcher
Main Conference Track
AverNet: All-in-one Video Restoration for Time-varying Unknown Degradations Haiyu Zhao, Lei Tian, Xinyan Xiao, Peng Hu, Yuanbiao Gou, Xi Peng
Main Conference Track
Do Finetti: On Causal Effects for Exchangeable Data Siyuan Guo, Chi Zhang, Karthika Mohan, Ferenc Huszár, Bernhard Schölkopf
Main Conference Track
NeuralSteiner: Learning Steiner Tree for Overflow-avoiding Global Routing in Chip Design Ruizhi Liu, Zhisheng Zeng, Shizhe Ding, Jingyan Sui, Xingquan Li, Dongbo Bu
Main Conference Track
Contextual Bilevel Reinforcement Learning for Incentive Alignment Vinzenz Thoma, Barna Pasztor, Andreas Krause, Giorgia Ramponi, Yifan Hu
Main Conference Track
Automating Data Annotation under Strategic Human Agents: Risks and Potential Solutions Tian Xie, Xueru Zhang
Main Conference Track
Understanding the Role of Equivariance in Self-supervised Learning Yifei Wang, Kaiwen Hu, Sharut Gupta, Ziyu Ye, Yisen Wang, Stefanie Jegelka
Main Conference Track
Bridging Model-Based Optimization and Generative Modeling via Conservative Fine-Tuning of Diffusion Models Masatoshi Uehara, Yulai Zhao, Ehsan Hajiramezanali, Gabriele Scalia, Gokcen Eraslan, Avantika Lal, Sergey Levine, Tommaso Biancalani
Main Conference Track
DeSparsify: Adversarial Attack Against Token Sparsification Mechanisms Oryan Yehezkel, Alon Zolfi, Amit Baras, Yuval Elovici, Asaf Shabtai
Main Conference Track
Sample Selection via Contrastive Fragmentation for Noisy Label Regression Chris Dongjoo Kim, Sangwoo Moon, Jihwan Moon, Dongyeon Woo, Gunhee Kim
Main Conference Track
Probablistic Emulation of a Global Climate Model with Spherical DYffusion Salva Rühling Cachay, Brian Henn, Oliver Watt-Meyer, Christopher S. Bretherton, Rose Yu
Main Conference Track
Smoothie: Label Free Language Model Routing Neel Guha, Mayee F. Chen, Trevor Chow, Ishan S. Khare, Christopher Ré
Main Conference Track
RClicks: Realistic Click Simulation for Benchmarking Interactive Segmentation Anton Antonov, Andrey Moskalenko, Denis Shepelev, Alexander Krapukhin, Konstantin Soshin, Anton Konushin, Vlad Shakhuro
Datasets and Benchmarks Track
Model LEGO: Creating Models Like Disassembling and Assembling Building Blocks Jiacong Hu, Jing Gao, Jingwen Ye, Yang Gao, Xingen Wang, Zunlei Feng, Mingli Song
Main Conference Track
Depth Anywhere: Enhancing 360 Monocular Depth Estimation via Perspective Distillation and Unlabeled Data Augmentation Ning-Hsu Wang, Yu-Lun Liu
Main Conference Track
3D Equivariant Pose Regression via Direct Wigner-D Harmonics Prediction Jongmin Lee, Minsu Cho
Main Conference Track
Identifiable Shared Component Analysis of Unpaired Multimodal Mixtures Subash Timilsina, Sagar Shrestha, Xiao Fu
Main Conference Track
Towards Diverse Device Heterogeneous Federated Learning via Task Arithmetic Knowledge Integration Mahdi Morafah, Vyacheslav Kungurtsev, Hojin Chang, Chen Chen, Bill Lin
Main Conference Track
MoMu-Diffusion: On Learning Long-Term Motion-Music Synchronization and Correspondence Fuming You, Minghui Fang, Li Tang, Rongjie Huang, Yongqi Wang, Zhou Zhao
Main Conference Track
Active Sequential Posterior Estimation for Sample-Efficient Simulation-Based Inference Sam Griesemer, Defu Cao, Zijun Cui, Carolina Osorio, Yan Liu
Main Conference Track
Parseval Regularization for Continual Reinforcement Learning Wesley Chung, Lynn Cherif, David Meger, Doina Precup
Main Conference Track
HC-GAE: The Hierarchical Cluster-based Graph Auto-Encoder for Graph Representation Learning Lu Bai, Zhuo Xu, Lixin Cui, Ming Li, Yue Wang, Edwin R. Hancock
Main Conference Track
Continuous Temporal Domain Generalization Zekun Cai, Guangji Bai, Renhe Jiang, Xuan Song, Liang Zhao
Main Conference Track
Analysis of Corrected Graph Convolutions Robert Wang, Aseem Baranwal, Kimon Fontoulakis
Main Conference Track
UV-free Texture Generation with Denoising and Geodesic Heat Diffusion Simone Foti, Stefanos Zafeiriou, Tolga Birdal
Main Conference Track
A Theoretical Perspective for Speculative Decoding Algorithm Ming Yin, Minshuo Chen, Kaixuan Huang, Mengdi Wang
Main Conference Track
Frieren: Efficient Video-to-Audio Generation Network with Rectified Flow Matching Yongqi Wang, Wenxiang Guo, Rongjie Huang, Jiawei Huang, Zehan Wang, Fuming You, Ruiqi Li, Zhou Zhao
Main Conference Track
Event-3DGS: Event-based 3D Reconstruction Using 3D Gaussian Splatting Haiqian Han, Jianing Li, Henglu Wei, Xiangyang Ji
Main Conference Track
Where's Waldo: Diffusion Features For Personalized Segmentation and Retrieval Dvir Samuel, Rami Ben-Ari, Matan Levy, Nir Darshan, Gal Chechik
Main Conference Track
Equivariant Machine Learning on Graphs with Nonlinear Spectral Filters Ya-Wei Eileen Lin, Ronen Talmon, Ron Levie
Main Conference Track
CondTSF: One-line Plugin of Dataset Condensation for Time Series Forecasting Jianrong Ding, Zhanyu Liu, Guanjie Zheng, Haiming Jin, Linghe Kong
Main Conference Track
Query-Based Adversarial Prompt Generation Jonathan Hayase, Ema Borevkovic, Nicholas Carlini, Florian Tramèr, Milad Nasr
Main Conference Track
RoME: A Robust Mixed-Effects Bandit Algorithm for Optimizing Mobile Health Interventions Easton Huch, Jieru Shi, Madeline R. Abbott, Jessica R. Golbus, Alexander Moreno, Walter H. Dempsey
Main Conference Track
Shared Autonomy with IDA: Interventional Diffusion Assistance Brandon J. McMahan, Zhenghao Peng, Bolei Zhou, Jonathan C. Kao
Main Conference Track
Multi-times Monte Carlo Rendering for Inter-reflection Reconstruction Tengjie Zhu, Zhuo Chen, Jingnan Gao, Yichao Yan, Xiaokang Yang
Main Conference Track
GenArtist: Multimodal LLM as an Agent for Unified Image Generation and Editing Zhenyu Wang, Aoxue Li, Zhenguo Li, Xihui Liu
Main Conference Track
Fine-grained Image-to-LiDAR Contrastive Distillation with Visual Foundation Models Yifan Zhang, Junhui Hou
Main Conference Track
SARDet-100K: Towards Open-Source Benchmark and ToolKit for Large-Scale SAR Object Detection Yuxuan Li, Xiang Li, Weijie Li, Qibin Hou, Li Liu, Ming-Ming Cheng, Jian Yang
Main Conference Track
Stabilizing Zero-Shot Prediction: A Novel Antidote to Forgetting in Continual Vision-Language Tasks Zijian Gao, Xingxing Zhang, Kele Xu, Xinjun Mao, Huaimin Wang
Main Conference Track
Regularized Adaptive Momentum Dual Averaging with an Efficient Inexact Subproblem Solver for Training Structured Neural Network Zih-Syuan Huang, Ching-pei Lee
Main Conference Track
A hierarchical decomposition for explaining ML performance discrepancies Harvineet Singh, Fan Xia, Adarsh Subbaswamy, Alexej Gossmann, Jean Feng
Main Conference Track
Slice-100K: A Multimodal Dataset for Extrusion-based 3D Printing Anushrut Jignasu, Kelly O. Marshall, Ankush Kumar Mishra, Lucas Nerone Rillo, Baskar Ganapathysubramanian, Aditya Balu, Chinmay Hegde, Adarsh Krishnamurthy
Datasets and Benchmarks Track
DistrictNet: Decision-aware learning for geographical districting Cheikh Ahmed, Alexandre Forel, Axel Parmentier, Thibaut Vidal
Main Conference Track
Private Algorithms for Stochastic Saddle Points and Variational Inequalities: Beyond Euclidean Geometry Raef Bassily, Cristóbal Guzmán, Michael Menart
Main Conference Track
Neural Krylov Iteration for Accelerating Linear System Solving Jian Luo, Jie Wang, Hong Wang, Huanshuo Dong, Zijie Geng, Hanzhu Chen, Yufei Kuang
Main Conference Track
InfiBench: Evaluating the Question-Answering Capabilities of Code Large Language Models Linyi Li, Shijie Geng, Zhenwen Li, Yibo He, Hao Yu, Ziyue Hua, Guanghan Ning, Siwei Wang, Tao Xie, Hongxia Yang
Datasets and Benchmarks Track
Symmetric Linear Bandits with Hidden Symmetry Nam Phuong Tran, The Anh Ta, Debmalya Mandal, Long Tran-Thanh
Main Conference Track
SafeWorld: Geo-Diverse Safety Alignment Da Yin, Haoyi Qiu, Kung-Hsiang Huang, Kai-Wei Chang, Nanyun Peng
Main Conference Track
Geometric Analysis of Nonlinear Manifold Clustering Nimita Shinde, Tianjiao Ding, Daniel P. Robinson, René Vidal
Main Conference Track
ET-Flow: Equivariant Flow-Matching for Molecular Conformer Generation Majdi Hassan, Nikhil Shenoy, Jungyoon Lee, Hannes Stärk, Stephan Thaler, Dominique Beaini
Main Conference Track
Spiking Token Mixer: An event-driven friendly Former structure for spiking neural networks Shikuang Deng, Yuhang Wu, Kangrui Du, Shi Gu
Main Conference Track
Graph Structure Inference with BAM: Neural Dependency Processing via Bilinear Attention Philipp Froehlich, Heinz Koeppl
Main Conference Track
HiCo: Hierarchical Controllable Diffusion Model for Layout-to-image Generation Bo Cheng, Yuhang Ma, Liebucha Wu, Shanyuan Liu, Ao Ma, Xiaoyu Wu, Dawei Leng, Yuhui Yin
Main Conference Track
Ctrl-X: Controlling Structure and Appearance for Text-To-Image Generation Without Guidance Kuan Heng Lin, Sicheng Mo, Ben Klingher, Fangzhou Mu, Bolei Zhou
Main Conference Track
An Image is Worth 32 Tokens for Reconstruction and Generation Qihang Yu, Mark Weber, Xueqing Deng, Xiaohui Shen, Daniel Cremers, Liang-Chieh Chen
Main Conference Track
Almost Minimax Optimal Best Arm Identification in Piecewise Stationary Linear Bandits Yunlong Hou, Vincent Y. F. Tan, Zixin Zhong
Main Conference Track
TSGM: A Flexible Framework for Generative Modeling of Synthetic Time Series Alexander Nikitin, Letizia Iannucci, Samuel Kaski
Datasets and Benchmarks Track
Frustratingly Easy Test-Time Adaptation of Vision-Language Models Matteo Farina, Gianni Franchi, Giovanni Iacca, Massimiliano Mancini, Elisa Ricci
Main Conference Track
Autoregressive Image Diffusion: Generation of Image Sequence and Application in MRI Guanxiong Luo, Shoujin Huang, Martin Uecker
Main Conference Track
Towards General Loop Invariant Generation: A Benchmark of Programs with Memory Manipulation Chang Liu, Xiwei Wu, Yuan Feng, Qinxiang Cao, Junchi Yan
Datasets and Benchmarks Track
CLAP4CLIP: Continual Learning with Probabilistic Finetuning for Vision-Language Models Saurav Jha, Dong Gong, Lina Yao
Main Conference Track
Automated Multi-Task Learning for Joint Disease Prediction on Electronic Health Records Suhan Cui, Prasenjit Mitra
Main Conference Track
4D Gaussian Splatting in the Wild with Uncertainty-Aware Regularization Mijeong Kim, Jongwoo Lim, Bohyung Han
Main Conference Track
Toward Real Ultra Image Segmentation: Leveraging Surrounding Context to Cultivate General Segmentation Model Sai Wang, Yutian Lin, Yu Wu, Bo Du
Main Conference Track
MultiOOD: Scaling Out-of-Distribution Detection for Multiple Modalities Hao Dong, Yue Zhao, Eleni Chatzi, Olga Fink
Main Conference Track
Sequential Harmful Shift Detection Without Labels Salim I. Amoukou, Tom Bewley, Saumitra Mishra, Freddy Lecue, Daniele Magazzeni, Manuela Veloso
Main Conference Track
Learning Cortico-Muscular Dependence through Orthonormal Decomposition of Density Ratios Shihan Ma, Bo Hu, Tianyu Jia, Alexander Kenneth Clarke, Blanka Zicher, Arnault H. Caillet, Dario Farina, José C. Príncipe
Main Conference Track
Job-SDF: A Multi-Granularity Dataset for Job Skill Demand Forecasting and Benchmarking Xi Chen, Chuan Qin, Chuyu Fang, Chao Wang, Chen Zhu, Fuzhen Zhuang, Hengshu Zhu, Hui Xiong
Datasets and Benchmarks Track
REBORN: Reinforcement-Learned Boundary Segmentation with Iterative Training for Unsupervised ASR Liang-Hsuan Tseng, En-Pei Hu, Cheng-Han Chiang, Yuan Tseng, Hung-yi Lee, Lin-shan Lee, Shao-Hua Sun
Main Conference Track
Autobidder's Dilemma: Why More Sophisticated Autobidders Lead to Worse Auction Efficiency Yuan Deng, Jieming Mao, Vahab Mirrokni, Hanrui Zhang, Song Zuo
Main Conference Track
Foundation Inference Models for Markov Jump Processes David Berghaus, Kostadin Cvejoski, Patrick Seifner, César Ojeda, Ramsés J. Sánchez
Main Conference Track
Controlling Counterfactual Harm in Decision Support Systems Based on Prediction Sets Eleni Straitouri, Suhas Thejaswi, Manuel Gomez Rodriguez
Main Conference Track
$\textit{Bifr\"ost}$: 3D-Aware Image Compositing with Language Instructions Lingxiao Li, Kaixiong Gong, Weihong Li, Xili Dai, Tao Chen, Xiaojun Yuan, Xiangyu Yue
Main Conference Track
GSDF: 3DGS Meets SDF for Improved Neural Rendering and Reconstruction Mulin Yu, Tao Lu, Linning Xu, Lihan Jiang, Yuanbo Xiangli, Bo Dai
Main Conference Track
Sequoia: Scalable and Robust Speculative Decoding Zhuoming Chen, Avner May, Ruslan Svirschevski, Yuhsun Huang, Max Ryabinin, Zhihao Jia, Beidi Chen
Main Conference Track
MAC Advice for facility location mechanism design Zohar Barak, Anupam Gupta, Inbal Talgam-Cohen
Main Conference Track
Bandit-Feedback Online Multiclass Classification: Variants and Tradeoffs Yuval Filmus, Steve Hanneke, Idan Mehalel, Shay Moran
Main Conference Track
Towards Multi-dimensional Explanation Alignment for Medical Classification Lijie Hu, Songning Lai, Wenshuo Chen, Hongru Xiao, Hongbin Lin, Lu Yu, Jingfeng Zhang, Di Wang
Main Conference Track
SaulLM-54B & SaulLM-141B: Scaling Up Domain Adaptation for the Legal Domain Pierre Colombo, Telmo Pires, Malik Boudiaf, Rui Melo, Dominic Culver, Etienne Malaboeuf, Gabriel Hautreux, Johanne Charpentier, Michael Desa
Main Conference Track
Many-shot Jailbreaking Cem Anil, Esin Durmus, Nina Panickssery, Mrinank Sharma, Joe Benton, Sandipan Kundu, Joshua Batson, Meg Tong, Jesse Mu, Daniel Ford, Fracesco Mosconi, Rajashree Agrawal, Rylan Schaeffer, Naomi Bashkansky, Samuel Svenningsen, Mike Lambert, Ansh Radhakrishnan, Carson Denison, Evan J Hubinger, Yuntao Bai, Trenton Bricken, Timothy Maxwell, Nicholas Schiefer, James Sully, Alex Tamkin, Tamera Lanhan, Karina Nguyen, Tomasz Korbak, Jared Kaplan, Deep Ganguli, Samuel R. Bowman, Ethan Perez, Roger Baker Grosse, David Duvenaud
Main Conference Track
Geometry-aware training of factorized layers in tensor Tucker format Emanuele Zangrando, Steffen Schotthöfer, Gianluca Ceruti, Jonas Kusch, Francesco Tudisco
Main Conference Track
Semi-Random Matrix Completion via Flow-Based Adaptive Reweighting Jonathan A. Kelner, Jerry Li, Allen Liu, Aaron Sidford, Kevin Tian
Main Conference Track
Fast yet Safe: Early-Exiting with Risk Control Metod Jazbec, Alexander Timans, Tin Hadži Veljković, Kaspar Sakmann, Dan Zhang, Christian A. Naesseth, Eric Nalisnick
Main Conference Track
Regularized Q-Learning Han-Dong Lim, Donghwan Lee
Main Conference Track
A Functional Extension of Semi-Structured Networks David Rügamer, Bernard X.W. Liew, Zainab Altai, Almond Stöcker
Main Conference Track
Safe and Sparse Newton Method for Entropic-Regularized Optimal Transport Zihao Tang, Yixuan Qiu
Main Conference Track
$\beta$-DPO: Direct Preference Optimization with Dynamic $\beta$ Junkang Wu, Yuexiang Xie, Zhengyi Yang, Jiancan Wu, Jinyang Gao, Bolin Ding, Xiang Wang, Xiangnan He
Main Conference Track
On-Road Object Importance Estimation: A New Dataset and A Model with Multi-Fold Top-Down Guidance Zhixiong Nan, Yilong Chen, Tianfei Zhou, Tao Xiang
Main Conference Track
Block Sparse Bayesian Learning: A Diversified Scheme Yanhao Zhang, Zhihan Zhu, Yong Xia
Main Conference Track
A Huber Loss Minimization Approach to Mean Estimation under User-level Differential Privacy Puning Zhao, Lifeng Lai, Li Shen, Qingming Li, Jiafei Wu, Zhe Liu
Main Conference Track
How to Continually Adapt Text-to-Image Diffusion Models for Flexible Customization? Jiahua Dong, Wenqi Liang, Hongliu Li, Duzhen Zhang, Meng Cao, Henghui Ding, Salman Khan, Fahad Shahbaz Khan
Main Conference Track
An Efficient Memory Module for Graph Few-Shot Class-Incremental Learning Dong Li, Aijia Zhang, Junqi Gao, Biqing Qi
Main Conference Track
Online Adaptation of Language Models with a Memory of Amortized Contexts Jihoon Tack, Jaehyung Kim, Eric Mitchell, Jinwoo Shin, Yee Whye Teh, Jonathan Richard Schwarz
Main Conference Track
Simple and Effective Masked Diffusion Language Models Subham Sekhar Sahoo, Marianne Arriola, Yair Schiff, Aaron Gokaslan, Edgar Marroquin, Justin T Chiu, Alexander Rush, Volodymyr Kuleshov
Main Conference Track
AgentPoison: Red-teaming LLM Agents via Poisoning Memory or Knowledge Bases Zhaorun Chen, Zhen Xiang, Chaowei Xiao, Dawn Song, Bo Li
Main Conference Track
Information Re-Organization Improves Reasoning in Large Language Models Xiaoxia Cheng, Zeqi Tan, Wei Xue, Weiming Lu
Main Conference Track
Improved learning rates in multi-unit uniform price auctions Marius Potfer, Dorian Baudry, Hugo Richard, Vianney Perchet, Cheng Wan
Main Conference Track
Ultrafast classical phylogenetic method beats large protein language models on variant effect prediction Sebastian Prillo, Wilson Wu, Yun S. Song
Main Conference Track
DiffusionPDE: Generative PDE-Solving under Partial Observation Jiahe Huang, Guandao Yang, Zichen Wang, Jeong Joon Park
Main Conference Track
shapiq: Shapley Interactions for Machine Learning Maximilian Muschalik, Hubert Baniecki, Fabian Fumagalli, Patrick Kolpaczki, Barbara Hammer, Eyke Hüllermeier
Datasets and Benchmarks Track
Addressing Hidden Confounding with Heterogeneous Observational Datasets for Recommendation Yanghao Xiao, Haoxuan Li, Yongqiang Tang, Wensheng Zhang
Main Conference Track
Activation Map Compression through Tensor Decomposition for Deep Learning Le-Trung Nguyen, Aël Quélennec, Enzo Tartaglione, Samuel Tardieu, Van-Tam Nguyen
Main Conference Track
Probing the Decision Boundaries of In-context Learning in Large Language Models Siyan Zhao, Tung Nguyen, Aditya Grover
Main Conference Track
B'MOJO: Hybrid State Space Realizations of Foundation Models with Eidetic and Fading Memory Luca Zancato, Arjun Seshadri, Yonatan Dukler, Aditya Golatkar, Yantao Shen, Benjamin Bowman, Matthew Trager, Alessandro Achille, Stefano Soatto
Main Conference Track
Online Posterior Sampling with a Diffusion Prior Branislav Kveton, Boris N. Oreshkin, Youngsuk Park, Aniket Deshmukh, Rui Song
Main Conference Track
RTify: Aligning Deep Neural Networks with Human Behavioral Decisions Yu-Ang Cheng, Ivan Felipe Rodriguez, Sixuan Chen, Kohitij Kar, Takeo Watanabe, Thomas Serre
Main Conference Track
Transductive Learning is Compact Julian Asilis, Siddartha Devic, Shaddin Dughmi, Vatsal Sharan, Shang-Hua Teng
Main Conference Track
EpiCare: A Reinforcement Learning Benchmark for Dynamic Treatment Regimes Mason Hargrave, Alex Spaeth, Logan Grosenick
Datasets and Benchmarks Track
Self-Guiding Exploration for Combinatorial Problems Zangir Iklassov, Yali Du, Farkhad Akimov, Martin Takáč
Main Conference Track
Minimizing UCB: a Better Local Search Strategy in Local Bayesian Optimization Zheyi Fan, Wenyu Wang, Szu Hui Ng, Qingpei Hu
Main Conference Track
From Similarity to Superiority: Channel Clustering for Time Series Forecasting Jialin Chen, Jan Eric Lenssen, Aosong Feng, Weihua Hu, Matthias Fey, Leandros Tassiulas, Jure Leskovec, Rex Ying
Main Conference Track
Resfusion: Denoising Diffusion Probabilistic Models for Image Restoration Based on Prior Residual Noise Zhenning Shi, Haoshuai Zheng, Chen Xu, Changsheng Dong, Bin Pan, Xueshuo Xie, Along He, Tao Li, Huazhu Fu
Main Conference Track
Achieving Constant Regret in Linear Markov Decision Processes Weitong Zhang, Zhiyuan Fan, Jiafan He, Quanquan Gu
Main Conference Track
MoGenTS: Motion Generation based on Spatial-Temporal Joint Modeling Weihao Yuan, Yisheng He, Weichao Shen, Yuan Dong, Xiaodong Gu, Zilong Dong, Liefeng Bo, Qixing Huang
Main Conference Track
Average gradient outer product as a mechanism for deep neural collapse Daniel Beaglehole, Peter Súkeník, Marco Mondelli, Mikhail Belkin
Main Conference Track
VastTrack: Vast Category Visual Object Tracking Liang Peng, Junyuan Gao, Xinran Liu, Weihong Li, Shaohua Dong, Zhipeng Zhang, Heng Fan, Libo Zhang
Datasets and Benchmarks Track
Spectral Adapter: Fine-Tuning in Spectral Space Fangzhao Zhang, Mert Pilanci
Main Conference Track
Implicit Multimodal Alignment: On the Generalization of Frozen LLMs to Multimodal Inputs Mustafa Shukor, Matthieu Cord
Main Conference Track
CONTRAST: Continual Multi-source Adaptation to Dynamic Distributions Sk Miraj Ahmed, Fahim Faisal Niloy, Xiangyu Chang, Dripta S. Raychaudhuri, Samet Oymak, Amit K. Roy-Chowdhury
Main Conference Track
On Causal Discovery in the Presence of Deterministic Relations Loka Li, Haoyue Dai, Hanin Al Ghothani, Biwei Huang, Jiji Zhang, Shahar Harel, Isaac Bentwich, Guangyi Chen, Kun Zhang
Main Conference Track
Expecting The Unexpected: Towards Broad Out-Of-Distribution Detection Charles Guille-Escuret, Pierre-André Noël, Ioannis Mitliagkas, David Vazquez, Joao Monteiro
Datasets and Benchmarks Track
Unlocking the Capabilities of Masked Generative Models for Image Synthesis via Self-Guidance Jiwan Hur, Dong-Jae Lee, Gyojin Han, Jaehyun Choi, Yunho Jeon, Junmo Kim
Main Conference Track
AutoMix: Automatically Mixing Language Models Pranjal Aggarwal, Aman Madaan, Ankit Anand, Srividya Pranavi Potharaju, Swaroop Mishra, Pei Zhou, Aditya Gupta, Dheeraj Rajagopal, Karthik Kappaganthu, Yiming Yang, Shyam Upadhyay, Manaal Faruqui, Mausam
Main Conference Track
VLM4Bio: A Benchmark Dataset to Evaluate Pretrained Vision-Language Models for Trait Discovery from Biological Images M. Maruf, Arka Daw, Kazi Sajeed Mehrab, Harish Babu Manogaran, Abhilash Neog, Medha Sawhney, Mridul Khurana, James P. Balhoff, Yasin Bakış, Bahadir Altintas, Matthew J Thompson, Elizabeth G Campolongo, Josef C. Uyeda, Hilmar Lapp, Henry L. Bart Jr., Paula M. Mabee, Yu Su, Wei-Lun Chao, Charles Stewart, Tanya Berger-Wolf, Wasila Dahdul, Anuj Karpatne
Datasets and Benchmarks Track
Paralinguistics-Aware Speech-Empowered Large Language Models for Natural Conversation Heeseung Kim, Soonshin Seo, Kyeongseok Jeong, Ohsung Kwon, Soyoon Kim, Jungwhan Kim, Jaehong Lee, Eunwoo Song, Myungwoo Oh, Jung-Woo Ha, Sungroh Yoon, Kang Min Yoo
Main Conference Track
Bayesian Online Natural Gradient (BONG) Matt Jones, Peter Chang, Kevin Murphy
Main Conference Track
PROSPECT PTMs: Rich Labeled Tandem Mass Spectrometry Dataset of Modified Peptides for Machine Learning in Proteomics Wassim Gabriel, Omar Shouman, Ayla Schroeder, Florian Boessl, Mathias Wilhelm
Datasets and Benchmarks Track
GREATS: Online Selection of High-Quality Data for LLM Training in Every Iteration Jiachen T. Wang, Tong Wu, Dawn Song, Prateek Mittal, Ruoxi Jia
Main Conference Track
CuMo: Scaling Multimodal LLM with Co-Upcycled Mixture-of-Experts Jiachen Li, Xinyao Wang, Sijie Zhu, Chia-Wen Kuo, Lu Xu, Fan Chen, Jitesh Jain, Humphrey Shi, Longyin Wen
Main Conference Track
Wormhole Loss for Partial Shape Matching Amit Bracha, Thomas Dagès, Ron Kimmel
Main Conference Track
Lumina-Next : Making Lumina-T2X Stronger and Faster with Next-DiT Le Zhuo, Ruoyi Du, Han Xiao, Yangguang Li, Dongyang Liu, Rongjie Huang, Wenze Liu, Xiangyang Zhu, Fu-Yun Wang, Zhanyu Ma, Xu Luo, Zehan Wang, Kaipeng Zhang, Lirui Zhao, Si Liu, Xiangyu Yue, Wanli Ouyang, Yu Qiao, Hongsheng Li, Peng Gao
Main Conference Track
Vidu4D: Single Generated Video to High-Fidelity 4D Reconstruction with Dynamic Gaussian Surfels Yikai Wang, Xinzhou Wang, Zilong Chen, Zhengyi Wang, Fuchun Sun, Jun Zhu
Main Conference Track
BackTime: Backdoor Attacks on Multivariate Time Series Forecasting Xiao Lin, Zhining Liu, Dongqi Fu, Ruizhong Qiu, Hanghang Tong
Main Conference Track
Enhancing Large Vision Language Models with Self-Training on Image Comprehension Yihe Deng, Pan Lu, Fan Yin, Ziniu Hu, Sheng Shen, Quanquan Gu, James Zou, Kai-Wei Chang, Wei Wang
Main Conference Track
Parallelizing Model-based Reinforcement Learning Over the Sequence Length ZiRui Wang, Yue Deng, Junfeng Long, Yin Zhang
Main Conference Track
FreeLong: Training-Free Long Video Generation with SpectralBlend Temporal Attention Yu Lu, Yuanzhi Liang, Linchao Zhu, Yi Yang
Main Conference Track
Inference of Neural Dynamics Using Switching Recurrent Neural Networks Yongxu Zhang, Shreya Saxena
Main Conference Track
Nearly Tight Black-Box Auditing of Differentially Private Machine Learning Meenatchi Sundaram Muthu Selva Annamalai, Emiliano De Cristofaro
Main Conference Track
Beyond the Doors of Perception: Vision Transformers Represent Relations Between Objects Michael A. Lepori, Alexa R. Tartaglini, Wai Keen Vong, Thomas Serre, Brenden M. Lake, Ellie Pavlick
Main Conference Track
LLMDFA: Analyzing Dataflow in Code with Large Language Models Chengpeng Wang, Wuqi Zhang, Zian Su, Xiangzhe Xu, Xiaoheng Xie, Xiangyu Zhang
Main Conference Track
Unveiling LoRA Intrinsic Ranks via Salience Analysis Wenjun Ke, Jiahao Wang, Peng Wang, Jiajun Liu, Dong Nie, Guozheng Li, Yining Li
Main Conference Track
Rethinking No-reference Image Exposure Assessment from Holism to Pixel: Models, Datasets and Benchmarks Shuai He, Shuntian Zheng, Anlong Ming, Banyu Wu, Huadong Ma
Main Conference Track
Compositional 3D-aware Video Generation with LLM Director Hanxin Zhu, Tianyu He, Anni Tang, Junliang Guo, Zhibo Chen, Jiang Bian
Main Conference Track
Equivariant Blurring Diffusion for Hierarchical Molecular Conformer Generation Jiwoong Park, Yang Shen
Main Conference Track
PhyloGen: Language Model-Enhanced Phylogenetic Inference via Graph Structure Generation Chenrui Duan, Zelin Zang, Siyuan Li, Yongjie Xu, Stan Z. Li
Main Conference Track
Learning Bregman Divergences with Application to Robustness Mohamed-Hicham Leghettas, Markus Püschel
Main Conference Track
Sharpness-Aware Minimization Activates the Interactive Teaching's Understanding and Optimization Mingwei Xu, Xiaofeng Cao, Ivor W. Tsang
Main Conference Track
Nonparametric Instrumental Variable Regression through Stochastic Approximate Gradients Yuri R. Fonseca, Caio F. L. Peixoto, Yuri F. Saporito
Main Conference Track
Why Transformers Need Adam: A Hessian Perspective Yushun Zhang, Congliang Chen, Tian Ding, Ziniu Li, Ruoyu Sun, Zhi-Quan Luo
Main Conference Track
Using Noise to Infer Aspects of Simplicity Without Learning Zachery Boner, Harry Chen, Lesia Semenova, Ronald Parr, Cynthia Rudin
Main Conference Track
Energy-based Hopfield Boosting for Out-of-Distribution Detection Claus Hofmann, Simon Schmid, Bernhard Lehner, Daniel Klotz, Sepp Hochreiter
Main Conference Track
Neglected Hessian component explains mysteries in sharpness regularization Yann N. Dauphin, Atish Agarwala, Hossein Mobahi
Main Conference Track
A Label is Worth A Thousand Images in Dataset Distillation Tian Qin, Zhiwei Deng, David Alvarez-Melis
Main Conference Track
LLaMo: Large Language Model-based Molecular Graph Assistant Jinyoung Park, Minseong Bae, Dohwan Ko, Hyunwoo J. Kim
Main Conference Track
Transformers as Game Players: Provable In-context Game-playing Capabilities of Pre-trained Models Chengshuai Shi, Kun Yang, Jing Yang, Cong Shen
Main Conference Track
Hierarchical Object-Aware Dual-Level Contrastive Learning for Domain Generalized Stereo Matching Yikun Miao, Meiqing Wu, Siew-Kei Lam, Changsheng Li, Thambipillai Srikanthan
Main Conference Track
RAW: A Robust and Agile Plug-and-Play Watermark Framework for AI-Generated Images with Provable Guarantees Xun Xian, Ganghua Wang, Xuan Bi, Jayanth Srinivasa, Ashish Kundu, Mingyi Hong, Jie Ding
Main Conference Track
Long-Tailed Out-of-Distribution Detection via Normalized Outlier Distribution Adaptation Wenjun Miao, Guansong Pang, Jin Zheng, Xiao Bai
Main Conference Track
Conformal Prediction for Class-wise Coverage via Augmented Label Rank Calibration Yuanjie Shi, Subhankar Ghosh, Taha Belkhouja, Janardhan Rao Doppa, Yan Yan
Main Conference Track
SDformer: Similarity-driven Discrete Transformer For Time Series Generation Zhicheng Chen, Shibo Feng, Zhong Zhang, Xi Xiao, Xingyu Gao, Peilin Zhao
Main Conference Track
Chain of Agents: Large Language Models Collaborating on Long-Context Tasks Yusen Zhang, Ruoxi Sun, Yanfei Chen, Tomas Pfister, Rui Zhang, Sercan Ö. Arık
Main Conference Track
Scene Graph Generation with Role-Playing Large Language Models Guikun Chen, Jin Li, Wenguan Wang
Main Conference Track
Parameter-Inverted Image Pyramid Networks Xizhou Zhu, Xue Yang, Zhaokai Wang, Hao Li, Wenhan Dou, Junqi Ge, Lewei Lu, Yu Qiao, Jifeng Dai
Main Conference Track
Universal Sample Coding Szymon Kobus, Tze-Yang Tung, Deniz Gündüz
Main Conference Track
Exogenous Matching: Learning Good Proposals for Tractable Counterfactual Estimation Yikang Chen, Dehui Du, Lili Tian
Main Conference Track
Fast Graph Sharpness-Aware Minimization for Enhancing and Accelerating Few-Shot Node Classification Yihong Luo, Yuhan Chen, Siya Qiu, Yiwei Wang, Chen Zhang, Yan Zhou, Xiaochun Cao, Jing Tang
Main Conference Track
Attention boosted Individualized Regression Guang Yang, Yuan Cao, Long Feng
Main Conference Track
FUSU: A Multi-temporal-source Land Use Change Segmentation Dataset for Fine-grained Urban Semantic Understanding Shuai Yuan, Guancong Lin, Lixian Zhang, Runmin Dong, Jinxiao Zhang, Shuang Chen, Juepeng Zheng, Jie Wang, Haohuan Fu
Datasets and Benchmarks Track
NVRC: Neural Video Representation Compression Ho Man Kwan, Ge Gao, Fan Zhang, Andrew Gower, David Bull
Main Conference Track
Molecule Generation with Fragment Retrieval Augmentation Seul Lee, Karsten Kreis, Srimukh Prasad Veccham, Meng Liu, Danny Reidenbach, Saee Paliwal, Arash Vahdat, Weili Nie
Main Conference Track
A Topology-aware Graph Coarsening Framework for Continual Graph Learning Xiaoxue Han, Zhuo Feng, Yue Ning
Main Conference Track
The iNaturalist Sounds Dataset Mustafa Chasmai, Alexander Shepard, Subhransu Maji, Grant Van Horn
Datasets and Benchmarks Track
Scanning Trojaned Models Using Out-of-Distribution Samples Hossein Mirzaei, Ali Ansari, Bahar Dibaei Nia, Mojtaba Nafez, Moein Madadi, Sepehr Rezaee, Zeinab Sadat Taghavi, Arad Maleki, Kian Shamsaie, Mahdi Hajialilue, Jafar Habibi, Mohammad Sabokrou, Mohammad Hossein Rohban
Main Conference Track
Model Sensitivity Aware Continual Learning Zhenyi Wang, Heng Huang
Main Conference Track
DataStealing: Steal Data from Diffusion Models in Federated Learning with Multiple Trojans Yuan Gan, Jiaxu Miao, Yi Yang
Main Conference Track
Nonparametric Evaluation of Noisy ICA Solutions Syamantak Kumar, Purnamrita Sarkar, Peter Bickel, Derek Bean
Main Conference Track
EigenVI: score-based variational inference with orthogonal function expansions Diana Cai, Chirag Modi, Charles C. Margossian, Robert M. Gower, David M. Blei, Lawrence K. Saul
Main Conference Track
Surge Phenomenon in Optimal Learning Rate and Batch Size Scaling Shuaipeng Li, Penghao Zhao, Hailin Zhang, Xingwu Sun, Hao Wu, Dian Jiao, Weiyan Wang, Chengjun Liu, Zheng Fang, Jinbao Xue, Yangyu Tao, Bin Cui, Di Wang
Main Conference Track
Towards Understanding Evolving Patterns in Sequential Data Qiuhao Zeng, Long-Kai Huang, Qi Chen, Charles Ling, Boyu Wang
Main Conference Track
Near-Minimax-Optimal Distributional Reinforcement Learning with a Generative Model Mark Rowland, Li Kevin Wenliang, Rémi Munos, Clare Lyle, Yunhao Tang, Will Dabney
Main Conference Track
MVSDet: Multi-View Indoor 3D Object Detection via Efficient Plane Sweeps Yating Xu, Chen Li, Gim Hee Lee
Main Conference Track
Approximating mutual information of high-dimensional variables using learned representations Gokul Gowri, Xiao-Kang Lun, Allon M. Klein, Peng Yin
Main Conference Track
G-Retriever: Retrieval-Augmented Generation for Textual Graph Understanding and Question Answering Xiaoxin He, Yijun Tian, Yifei Sun, Nitesh V. Chawla, Thomas Laurent, Yann LeCun, Xavier Bresson, Bryan Hooi
Main Conference Track
FOOGD: Federated Collaboration for Both Out-of-distribution Generalization and Detection Xinting Liao, Weiming Liu, Pengyang Zhou, Fengyuan Yu, Jiahe Xu, Jun Wang, Wenjie Wang, Chaochao Chen, Xiaolin Zheng
Main Conference Track
Right this way: Can VLMs Guide Us to See More to Answer Questions? Li Liu, Diji Yang, Sijia Zhong, Kalyana Suma Sree Tholeti, Lei Ding, Yi Zhang, Leilani H. Gilpin
Main Conference Track
Entropy testing and its application to testing Bayesian networks Clément L. Canonne, Joy Qiping Yang
Main Conference Track
Reinforcement Learning Under Latent Dynamics: Toward Statistical and Algorithmic Modularity Philip Amortila, Dylan J. Foster, Nan Jiang, Akshay Krishnamurthy, Zakaria Mhammedi
Main Conference Track
CNCA: Toward Customizable and Natural Generation of Adversarial Camouflage for Vehicle Detectors Linye Lyu, Jiawei Zhou, Daojing He, Yu Li
Main Conference Track
Erasing Undesirable Concepts in Diffusion Models with Adversarial Preservation Anh Bui, Long Vuong, Khanh Doan, Trung Le, Paul Montague, Tamas Abraham, Dinh Phung
Main Conference Track
Hybrid Top-Down Global Causal Discovery with Local Search for Linear and Nonlinear Additive Noise Models Sujai Hiremath, Jacqueline Maasch, Mengxiao Gao, Promit Ghosal, Kyra Gan
Main Conference Track
Building Timeseries Dataset: Empowering Large-Scale Building Analytics Arian Prabowo, Xiachong Lin, Imran Razzak, Hao Xue, Emily W. Yap, Matthew Amos, Flora D. Salim
Datasets and Benchmarks Track
Benchmarking Counterfactual Image Generation Thomas Melistas, Nikos Spyrou, Nefeli Gkouti, Pedro Sanchez, Athanasios Vlontzos, Yannis Panagakis, Giorgos Papanastasiou, Sotirios A. Tsaftaris
Datasets and Benchmarks Track
Causal Context Adjustment Loss for Learned Image Compression Minghao Han, Shiyin Jiang, Shengxi Li, Xin Deng, Mai Xu, Ce Zhu, Shuhang Gu
Main Conference Track
WFCRL: A Multi-Agent Reinforcement Learning Benchmark for Wind Farm Control Claire Bizon Monroc, Ana Bušić, Donatien Dubuc, Jiamin Zhu
Datasets and Benchmarks Track
Learning-to-Cache: Accelerating Diffusion Transformer via Layer Caching Xinyin Ma, Gongfan Fang, Michael Bi Mi, Xinchao Wang
Main Conference Track
3DGS-Enhancer: Enhancing Unbounded 3D Gaussian Splatting with View-consistent 2D Diffusion Priors Xi Liu, Chaoyi Zhou, Siyu Huang
Main Conference Track
Classifier-guided Gradient Modulation for Enhanced Multimodal Learning Zirun Guo, Tao Jin, Jingyuan Chen, Zhou Zhao
Main Conference Track
Discrete Flow Matching Itai Gat, Tal Remez, Neta Shaul, Felix Kreuk, Ricky T. Q. Chen, Gabriel Synnaeve, Yossi Adi, Yaron Lipman
Main Conference Track
Large Language Models Play StarCraft II:Benchmarks and A Chain of Summarization Approach Weiyu Ma, Qirui Mi, Yongcheng Zeng, Xue Yan, Yuqiao Wu, Runji Lin, Haifeng Zhang, Jun Wang
Main Conference Track
Ex Uno Pluria: Insights on Ensembling in Low Precision Number Systems Giung Nam, Juho Lee
Main Conference Track
Treatment of Statistical Estimation Problems in Randomized Smoothing for Adversarial Robustness Václav Voráček
Main Conference Track
EnsIR: An Ensemble Algorithm for Image Restoration via Gaussian Mixture Models Shangquan Sun, Wenqi Ren, Zikun Liu, Hyunhee Park, Rui Wang, Xiaochun Cao
Main Conference Track
Any2Policy: Learning Visuomotor Policy with Any-Modality Yichen Zhu, Zhicai Ou, Feifei Feng, Jian Tang
Main Conference Track
Exact, Tractable Gauss-Newton Optimization in Deep Reversible Architectures Reveal Poor Generalization Davide Buffelli, Jamie McGowan, Wangkun Xu, Alexandru Cioba, Da-shan Shiu, Guillaume Hennequin, Alberto Bernacchia
Main Conference Track
CODE: Contrasting Self-generated Description to Combat Hallucination in Large Multi-modal Models Junho Kim, Hyun Jun Kim, Yeon Ju Kim, Yong Man Ro
Main Conference Track
Uniform Last-Iterate Guarantee for Bandits and Reinforcement Learning Junyan Liu, Yunfan Li, Ruosong Wang, Lin F. Yang
Main Conference Track
Accelerating Diffusion Models with Parallel Sampling: Inference at Sub-Linear Time Complexity Haoxuan Chen, Yinuo Ren, Lexing Ying, Grant M. Rotskoff
Main Conference Track
Enhancing LLM’s Cognition via Structurization Kai Liu, Zhihang Fu, Chao Chen, Wei Zhang, Rongxin Jiang, Fan Zhou, Yaowu Chen, Yue Wu, Jieping Ye
Main Conference Track
Offline Oracle-Efficient Learning for Contextual MDPs via Layerwise Exploration-Exploitation Tradeoff Jian Qian, Haichen Hu, David Simchi-Levi
Main Conference Track
Is Multiple Object Tracking a Matter of Specialization? Gianluca Mancusi, Mattia Bernardi, Aniello Panariello, Angelo Porrello, Rita Cucchiara, Simone Calderara
Main Conference Track
A Practitioner's Guide to Real-World Continual Multimodal Pretraining Vishaal Udandarao, Karsten Roth, Sebastian Dziadzio, Ameya Prabhu, Mehdi Cherti, Oriol Vinyals, Olivier Hénaff, Samuel Albanie, Zeynep Akata, Matthias Bethge
Datasets and Benchmarks Track
DiffuPac: Contextual Mimicry in Adversarial Packets Generation via Diffusion Model Abdullah Bin Jasni, Akiko Manada, Kohei Watabe
Main Conference Track
Alleviating Distortion in Image Generation via Multi-Resolution Diffusion Models and Time-Dependent Layer Normalization Qihao Liu, Zhanpeng Zeng, Ju He, Qihang Yu, Xiaohui Shen, Liang-Chieh Chen
Main Conference Track
Off-policy estimation with adaptively collected data: the power of online learning Jeonghwan Lee, Cong Ma
Main Conference Track
FedNE: Surrogate-Assisted Federated Neighbor Embedding for Dimensionality Reduction Ziwei Li, Xiaoqi Wang, Hong-You Chen, Han-Wei Shen, Wei-Lun Chao
Main Conference Track
Exploring the trade-off between deep-learning and explainable models for brain-machine interfaces Luis H. Cubillos, Guy Revach, Matthew J. Mender, Joseph T. Costello, Hisham Temmar, Aren Hite, Diksha Zutshi, Dylan M. Wallace, Xiaoyong Ni, Madison M. Kelberman, Matthew S. Willsey, Ruud J.G. van Sloun, Nir Shlezinger, Parag Patil, Anne Draelos, Cynthia A. Chestek
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Detecting Bugs with Substantial Monetary Consequences by LLM and Rule-based Reasoning Brian Zhang, Zhuo Zhang
Main Conference Track
SAND: Smooth imputation of sparse and noisy functional data with Transformer networks Ju-Sheng Hong, Junwen Yao, Jonas Mueller, Jane-Ling Wang
Main Conference Track
Adaptive Randomized Smoothing: Certified Adversarial Robustness for Multi-Step Defences Saiyue Lyu, Shadab Shaikh, Frederick Shpilevskiy, Evan Shelhamer, Mathias Lécuyer
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EDT: An Efficient Diffusion Transformer Framework Inspired by Human-like Sketching Xinwang Chen, Ning Liu, Yichen Zhu, Feifei Feng, Jian Tang
Main Conference Track
Hamiltonian Monte Carlo on ReLU Neural Networks is Inefficient Vu C. Dinh, Lam Si Tung Ho, Cuong V. Nguyen
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Certified Adversarial Robustness via Randomized $\alpha$-Smoothing for Regression Models Aref Miri Rekavandi, Farhad Farokhi, Olga Ohrimenko, Benjamin I.P. Rubinstein
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An Improved Empirical Fisher Approximation for Natural Gradient Descent Xiaodong Wu, Wenyi Yu, Chao Zhang, Philip Woodland
Main Conference Track
The Benefits of Balance: From Information Projections to Variance Reduction Lang Liu, Ronak Mehta, Soumik Pal, Zaid Harchaoui
Main Conference Track
Meta-Controller: Few-Shot Imitation of Unseen Embodiments and Tasks in Continuous Control Seongwoong Cho, Donggyun Kim, Jinwoo Lee, Seunghoon Hong
Main Conference Track
ChronoEpilogi: Scalable Time Series Selection with Multiple Solutions Etienne Vareille, Michele Linardi, Ioannis Tsamardinos, Vassilis Christophides
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Kernel PCA for Out-of-Distribution Detection Kun Fang, Qinghua Tao, Kexin Lv, Mingzhen He, Xiaolin Huang, Jie Yang
Main Conference Track
Bisimulation Metrics are Optimal Transport Distances, and Can be Computed Efficiently Sergio Calo, Anders Jonsson, Gergely Neu, Ludovic Schwartz, Javier Segovia-Aguas
Main Conference Track
InfoRM: Mitigating Reward Hacking in RLHF via Information-Theoretic Reward Modeling Yuchun Miao, Sen Zhang, Liang Ding, Rong Bao, Lefei Zhang, Dacheng Tao
Main Conference Track
Computational Aspects of Bayesian Persuasion under Approximate Best Response Kunhe Yang, Hanrui Zhang
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Learning Where to Edit Vision Transformers Yunqiao Yang, Long-Kai Huang, Shengzhuang Chen, Kede Ma, Ying Wei
Main Conference Track
IaC-Eval: A Code Generation Benchmark for Cloud Infrastructure-as-Code Programs Patrick Tser Jern Kon, Jiachen Liu, Yiming Qiu, Weijun Fan, Ting He, Lei Lin, Haoran Zhang, Owen M. Park, George S. Elengikal, Yuxin Kang, Ang Chen, Mosharaf Chowdhury, Myungjin Lee, Xinyu Wang
Datasets and Benchmarks Track
Semantic Density: Uncertainty Quantification for Large Language Models through Confidence Measurement in Semantic Space Xin Qiu, Risto Miikkulainen
Main Conference Track
Understanding the Differences in Foundation Models: Attention, State Space Models, and Recurrent Neural Networks Jerome Sieber, Carmen Amo Alonso, Alexandre Didier, Melanie N. Zeilinger, Antonio Orvieto
Main Conference Track
Adam on Local Time: Addressing Nonstationarity in RL with Relative Adam Timesteps Benjamin Ellis, Matthew T. Jackson, Andrei Lupu, Alexander D. Goldie, Mattie Fellows, Shimon Whiteson, Jakob N. Foerster
Main Conference Track
IMDL-BenCo: A Comprehensive Benchmark and Codebase for Image Manipulation Detection & Localization Xiaochen Ma, Xuekang Zhu, Lei Su, Bo Du, Zhuohang Jiang, Bingkui Tong, Zeyu Lei, Xinyu Yang, Chi-Man Pun, Jiancheng Lv, Jizhe Zhou
Datasets and Benchmarks Track
Understanding Hallucinations in Diffusion Models through Mode Interpolation Sumukh K Aithal, Pratyush Maini, Zachary C. Lipton, J. Zico Kolter
Main Conference Track
Beating Adversarial Low-Rank MDPs with Unknown Transition and Bandit Feedback Haolin Liu, Zakaria Mhammedi, Chen-Yu Wei, Julian Zimmert
Main Conference Track
GV-Rep: A Large-Scale Dataset for Genetic Variant Representation Learning Zehui Li, Vallijah Subasri, Guy-Bart Stan, Yiren Zhao, Bo Wang
Datasets and Benchmarks Track
Can LLMs Solve Molecule Puzzles? A Multimodal Benchmark for Molecular Structure Elucidation Kehan Guo, Bozhao Nan, Yujun Zhou, Taicheng Guo, Zhichun Guo, Mihir Surve, Zhenwen Liang, Nitesh V. Chawla, Olaf Wiest, Xiangliang Zhang
Datasets and Benchmarks Track
To Err Like Human: Affective Bias-Inspired Measures for Visual Emotion Recognition Evaluation Chenxi Zhao, Jinglei Shi, Liqiang Nie, Jufeng Yang
Main Conference Track
Drago: Primal-Dual Coupled Variance Reduction for Faster Distributionally Robust Optimization Ronak Mehta, Jelena Diakonikolas, Zaid Harchaoui
Main Conference Track
A Benchmark Dataset for Event-Guided Human Pose Estimation and Tracking in Extreme Conditions Hoonhee Cho, Taewoo Kim, Yuhwan Jeong, Kuk-Jin Yoon
Datasets and Benchmarks Track
Neural Combinatorial Optimization for Robust Routing Problem with Uncertain Travel Times Pei Xiao, Zizhen Zhang, Jinbiao Chen, Jiahai Wang, Zhenzhen Zhang
Main Conference Track
Attack-Aware Noise Calibration for Differential Privacy Bogdan Kulynych, Juan Felipe Gomez, Georgios Kaissis, Flavio du Pin Calmon, Carmela Troncoso
Main Conference Track
SeeClear: Semantic Distillation Enhances Pixel Condensation for Video Super-Resolution Qi Tang, Yao Zhao, Meiqin Liu, Chao Yao
Main Conference Track
CALE: Continuous Arcade Learning Environment Jesse Farebrother, Pablo Samuel Castro
Datasets and Benchmarks Track
Optimal Batched Best Arm Identification Tianyuan Jin, Yu Yang, Jing Tang, Xiaokui Xiao, Pan Xu
Main Conference Track
Membership Inference Attacks against Fine-tuned Large Language Models via Self-prompt Calibration Wenjie Fu, Huandong Wang, Chen Gao, Guanghua Liu, Yong Li, Tao Jiang
Main Conference Track
Metric Flow Matching for Smooth Interpolations on the Data Manifold Kacper Kapuśniak, Peter Potaptchik, Teodora Reu, Leo Zhang, Alexander Tong, Michael Bronstein, Avishek Joey Bose, Francesco Di Giovanni
Main Conference Track
Feature-Level Adversarial Attacks and Ranking Disruption for Visible-Infrared Person Re-identification Xi Yang, Huanling liu, De Cheng, Nannan Wang, Xinbo Gao
Main Conference Track
SpatialRGPT: Grounded Spatial Reasoning in Vision-Language Models An-Chieh Cheng, Hongxu Yin, Yang Fu, Qiushan Guo, Ruihan Yang, Jan Kautz, Xiaolong Wang, Sifei Liu
Main Conference Track
Language Model as Visual Explainer Xingyi Yang, Xinchao Wang
Main Conference Track
Benchmarking Structural Inference Methods for Interacting Dynamical Systems with Synthetic Data Aoran Wang, Tsz Pan Tong, Andrzej Mizera, Jun Pang
Datasets and Benchmarks Track
Practical Bayesian Algorithm Execution via Posterior Sampling Chu Xin Cheng, Raul Astudillo, Thomas Desautels, Yisong Yue
Main Conference Track
Unveiling the Potential of Robustness in Selecting Conditional Average Treatment Effect Estimators Yiyan Huang, Cheuk Hang Leung, Siyi Wang, Yijun Li, Qi Wu
Main Conference Track
Intrinsic Robustness of Prophet Inequality to Strategic Reward Signaling Wei Tang, Haifeng Xu, Ruimin Zhang, Derek Zhu
Main Conference Track
Unrolled denoising networks provably learn to perform optimal Bayesian inference Aayush Karan, Kulin Shah, Sitan Chen, Yonina C. Eldar
Main Conference Track
Improving Environment Novelty Quantification for Effective Unsupervised Environment Design Jayden Teoh, Wenjun Li, Pradeep Varakantham
Main Conference Track
The Bayesian sampling in a canonical recurrent circuit with a diversity of inhibitory interneurons Eryn Sale, Wen-Hao Zhang
Main Conference Track
Evaluate then Cooperate: Shapley-based View Cooperation Enhancement for Multi-view Clustering Fangdi Wang, Jiaqi Jin, Jingtao Hu, Suyuan Liu, Xihong Yang, Siwei Wang, Xinwang Liu, En Zhu
Main Conference Track
PureGen: Universal Data Purification for Train-Time Poison Defense via Generative Model Dynamics Sunay Bhat, Jeffrey Jiang, Omead Pooladzandi, Alexander Branch, Gregory Pottie
Main Conference Track
A Local Method for Satisfying Interventional Fairness with Partially Known Causal Graphs Haoxuan Li, Yue Liu, Zhi Geng, Kun Zhang
Main Conference Track
Learning Generalized Linear Programming Value Functions Tu Anh-Nguyen, Joey Huchette, Christian Tjandraatmadja
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Unveil Benign Overfitting for Transformer in Vision: Training Dynamics, Convergence, and Generalization Jiarui Jiang, Wei Huang, Miao Zhang, Taiji Suzuki, Liqiang Nie
Main Conference Track
CaptainCook4D: A Dataset for Understanding Errors in Procedural Activities Rohith Peddi, Shivvrat Arya, Bharath Challa, Likhitha Pallapothula, Akshay Vyas, Bhavya Gouripeddi, Qifan Zhang, Jikai Wang, Vasundhara Komaragiri, Eric Ragan, Nicholas Ruozzi, Yu Xiang, Vibhav Gogate
Datasets and Benchmarks Track
AirSketch: Generative Motion to Sketch Hui Xian Grace Lim, Xuanming Cui, Yogesh S Rawat, Ser-Nam Lim
Main Conference Track
Weak Supervision Performance Evaluation via Partial Identification Felipe Maia Polo, Subha Maity, Mikhail Yurochkin, Moulinath Banerjee, Yuekai Sun
Main Conference Track
Avoiding Undesired Future with Minimal Cost in Non-Stationary Environments Wen-Bo Du, Tian Qin, Tian-Zuo Wang, Zhi-Hua Zhou
Main Conference Track
3DCoMPaT200: Language Grounded Large-Scale 3D Vision Dataset for Compositional Recognition Mahmoud Ahmed, Xiang Li, Arpit Prajapati, Mohamed Elhoseiny
Datasets and Benchmarks Track
A Concept-Based Explainability Framework for Large Multimodal Models Jayneel Parekh, Pegah Khayatan, Mustafa Shukor, Alasdair Newson, Matthieu Cord
Main Conference Track
Learning to Balance Altruism and Self-interest Based on Empathy in Mixed-Motive Games Fanqi Kong, Yizhe Huang, Song-Chun Zhu, Siyuan Qi, Xue Feng
Main Conference Track
UniIF: Unified Molecule Inverse Folding Zhangyang Gao, Jue Wang, Cheng Tan, Lirong Wu, Yufei Huang, Siyuan Li, Zhirui Ye, Stan Z. Li
Main Conference Track
Motif-oriented influence maximization for viral marketing in large-scale social networks Mingyang Zhou, Weiji Cao, Hao Liao, Rui Mao
Main Conference Track
Towards Reliable Model Selection for Unsupervised Domain Adaptation: An Empirical Study and A Certified Baseline Dapeng Hu, Mi Luo, Jian Liang, Chuan-Sheng Foo
Datasets and Benchmarks Track
DARG: Dynamic Evaluation of Large Language Models via Adaptive Reasoning Graph Zhehao Zhang, Jiaao Chen, Diyi Yang
Main Conference Track
Noether's Razor: Learning Conserved Quantities Tycho F. A. van der Ouderaa, Mark van der Wilk, Pim de Haan
Main Conference Track
Recurrent neural network dynamical systems for biological vision Wayne W.M. Soo, Aldo Battista, Puria Radmard, Xiao-Jing Wang
Main Conference Track
Proximal Causal Inference With Text Data Jacob M. Chen, Rohit Bhattacharya, Katherine A. Keith
Main Conference Track
Quality-Improved and Property-Preserved Polarimetric Imaging via Complementarily Fusing Chu Zhou, Yixing Liu, Chao Xu, Boxin Shi
Main Conference Track
Refusal in Language Models Is Mediated by a Single Direction Andy Arditi, Oscar Obeso, Aaquib Syed, Daniel Paleka, Nina Panickssery, Wes Gurnee, Neel Nanda
Main Conference Track
Fine-Tuning is Fine, if Calibrated Zheda Mai, Arpita Chowdhury, Ping Zhang, Cheng-Hao Tu, Hong-You Chen, Vardaan Pahuja, Tanya Berger-Wolf, Song Gao, Charles Stewart, Yu Su, Wei-Lun Chao
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UniGAD: Unifying Multi-level Graph Anomaly Detection Yiqing Lin, Jianheng Tang, Chenyi Zi, H.Vicky Zhao, Yuan Yao, Jia Li
Main Conference Track
Exocentric-to-Egocentric Video Generation Jia-Wei Liu, Weijia Mao, Zhongcong Xu, Jussi Keppo, Mike Zheng Shou
Main Conference Track
IncomeSCM: From tabular data set to time-series simulator and causal estimation benchmark Fredrik D. Johansson
Datasets and Benchmarks Track
X-Ray: A Sequential 3D Representation For Generation Tao Hu, Wenhang Ge, Yuyang Zhao, Gim Hee Lee
Main Conference Track
KG-FIT: Knowledge Graph Fine-Tuning Upon Open-World Knowledge Pengcheng Jiang, Lang Cao, Cao Xiao, Parminder Bhatia, Jimeng Sun, Jiawei Han
Main Conference Track
Constructing Semantics-Aware Adversarial Examples with a Probabilistic Perspective Andi Zhang, Mingtian Zhang, Damon Wischik
Main Conference Track
Data subsampling for Poisson regression with pth-root-link Han Cheng Lie, Alexander Munteanu
Main Conference Track
Off-Dynamics Reinforcement Learning via Domain Adaptation and Reward Augmented Imitation Yihong Guo, Yixuan Wang, Yuanyuan Shi, Pan Xu, Anqi Liu
Main Conference Track
Efficient Policy Evaluation Across Multiple Different Experimental Datasets Yonghan Jung, Alexis Bellot
Main Conference Track
Exploring Consistency in Graph Representations: from Graph Kernels to Graph Neural Networks Xuyuan Liu, Yinghao Cai, Qihui Yang, Yujun Yan
Main Conference Track
Dynamics of Supervised and Reinforcement Learning in the Non-Linear Perceptron Christian Schmid, James M. Murray
Main Conference Track
Adaptive Visual Scene Understanding: Incremental Scene Graph Generation Naitik Khandelwal, Xiao Liu, Mengmi Zhang
Main Conference Track
DenseFormer: Enhancing Information Flow in Transformers via Depth Weighted Averaging Matteo Pagliardini, Amirkeivan Mohtashami, Francois Fleuret, Martin Jaggi
Main Conference Track
Introducing Spectral Attention for Long-Range Dependency in Time Series Forecasting Bong Gyun Kang, Dongjun Lee, HyunGi Kim, DoHyun Chung, Sungroh Yoon
Main Conference Track
AdaPKC: PeakConv with Adaptive Peak Receptive Field for Radar Semantic Segmentation Teng Li, Liwen Zhang, Youcheng Zhang, Zijun Hu, Pengcheng Pi, Zongqing Lu, Qingmin Liao, Zhe Ma
Main Conference Track
Prompt-Agnostic Adversarial Perturbation for Customized Diffusion Models Cong Wan, Yuhang He, Xiang Song, Yihong Gong
Main Conference Track
SELECT: A Large-Scale Benchmark of Data Curation Strategies for Image Classification Benjamin Feuer, Jiawei Xu, Niv Cohen, Patrick Yubeaton, Govind Mittal, Chinmay Hegde
Datasets and Benchmarks Track
Improving Generalization in Federated Learning with Model-Data Mutual Information Regularization: A Posterior Inference Approach Hao Zhang, Chenglin Li, Nuowen Kan, Ziyang Zheng, Wenrui Dai, Junni Zou, Hongkai Xiong
Main Conference Track
Zero-shot Generalizable Incremental Learning for Vision-Language Object Detection Jieren Deng, Haojian Zhang, Kun Ding, Jianhua Hu, Xingxuan Zhang, Yunkuan Wang
Main Conference Track
Get Rid of Isolation: A Continuous Multi-task Spatio-Temporal Learning Framework Zhongchao Yi, Zhengyang Zhou, Qihe Huang, Yanjiang Chen, Liheng Yu, Xu Wang, Yang Wang
Main Conference Track
Sharpness-diversity tradeoff: improving flat ensembles with SharpBalance Haiquan Lu, Xiaotian Liu, Yefan Zhou, Qunli Li, Kurt Keutzer, Michael W. Mahoney, Yujun Yan, Huanrui Yang, Yaoqing Yang
Main Conference Track
$\texttt{dattri}$: A Library for Efficient Data Attribution Junwei Deng, Ting-Wei Li, Shiyuan Zhang, Shixuan Liu, Yijun Pan, Hao Huang, Xinhe Wang, Pingbang Hu, Xingjian Zhang, Jiaqi W. Ma
Datasets and Benchmarks Track
Autonomous Driving with Spiking Neural Networks Rui-Jie Zhu, Ziqing Wang, Leilani Gilpin, Jason K. Eshraghian
Main Conference Track
AED: Adaptable Error Detection for Few-shot Imitation Policy Jia-Fong Yeh, Kuo-Han Hung, Pang-Chi Lo, Chi-Ming Chung, Tsung-Han Wu, Hung-Ting Su, Yi-Ting Chen, Winston H. Hsu
Main Conference Track
SPRINQL: Sub-optimal Demonstrations driven Offline Imitation Learning Huy Hoang, Tien Mai, Pradeep Varakantham
Main Conference Track
Aligning LLM Agents by Learning Latent Preference from User Edits Ge Gao, Alexey Taymanov, Eduardo Salinas, Paul Mineiro, Dipendra Misra
Main Conference Track
Unchosen Experts Can Contribute Too: Unleashing MoE Models’ Power by Self-Contrast Chufan Shi, Cheng Yang, Xinyu Zhu, Jiahao Wang, Taiqiang Wu, Siheng Li, Deng Cai, Yujiu Yang, Yu Meng
Main Conference Track
Unitary Convolutions for Learning on Graphs and Groups Bobak T. Kiani, Lukas Fesser, Melanie Weber
Main Conference Track
Transfer Learning for Diffusion Models Yidong Ouyang, Liyan Xie, Hongyuan Zha, Guang Cheng
Main Conference Track
Reinforcement Learning Guided Semi-Supervised Learning Marzi Heidari, Hanping Zhang, Yuhong Guo
Main Conference Track
FinCon: A Synthesized LLM Multi-Agent System with Conceptual Verbal Reinforcement for Enhanced Financial Decision Making Yangyang Yu, Zhiyuan Yao, Haohang Li, Zhiyang Deng, Yuechen Jiang, Yupeng Cao, Zhi Chen, Jordan W. Suchow, Zhenyu Cui, Rong Liu, Zhaozhuo Xu, Denghui Zhang, Koduvayur Subbalakshmi, Guojun Xiong, Yueru He, Jimin Huang, Dong Li, Qianqian Xie
Main Conference Track
Towards Effective Planning Strategies for Dynamic Opinion Networks Bharath Muppasani, Protik Nag, Vignesh Narayanan, Biplav Srivastava, Michael N. Huhns
Main Conference Track
The Fragility of Fairness: Causal Sensitivity Analysis for Fair Machine Learning Jake Fawkes, Nic Fishman, Mel Andrews, Zachary C. Lipton
Datasets and Benchmarks Track
Object segmentation from common fate: Motion energy processing enables human-like zero-shot generalization to random dot stimuli Matthias Tangemann, Matthias Kümmerer, Matthias Bethge
Main Conference Track
Understanding Multi-Granularity for Open-Vocabulary Part Segmentation Jiho Choi, Seonho Lee, Seungho Lee, Minhyun Lee, Hyunjung Shim
Main Conference Track
Diffusion Imitation from Observation Bo-Ruei Huang, Chun-Kai Yang, Chun-Mao Lai, Dai-Jie Wu, Shao-Hua Sun
Main Conference Track
Generative Modelling of Structurally Constrained Graphs Manuel Madeira, Clément Vignac, Dorina Thanou, Pascal Frossard
Main Conference Track
Efficient Discrepancy Testing for Learning with Distribution Shift Gautam Chandrasekaran, Adam R. Klivans, Vasilis Kontonis, Konstantinos Stavropoulos, Arsen Vasilyan
Main Conference Track
EAGLE: Efficient Adaptive Geometry-based Learning in Cross-view Understanding Thanh-Dat Truong, Utsav Prabhu, Dongyi Wang, Bhiksha Raj, Susan Gauch, Jeyamkondan Subbiah, Khoa Luu
Main Conference Track
Interpreting the Weight Space of Customized Diffusion Models Amil Dravid, Yossi Gandelsman, Kuan-Chieh Wang, Rameen Abdal, Gordon Wetzstein, Alexei A. Efros, Kfir Aberman
Main Conference Track
ActionAtlas: A VideoQA Benchmark for Domain-specialized Action Recognition Mohammadreza Salehi, Jae Sung Park, Tanush Yadav, Aditya Kusupati, Ranjay Krishna, Yejin Choi, Hannaneh Hajishirzi, Ali Farhadi
Datasets and Benchmarks Track
Task-oriented Time Series Imputation Evaluation via Generalized Representers Zhixian Wang, Linxiao Yang, Liang Sun, Qingsong Wen, Yi Wang
Main Conference Track
Linguistic Collapse: Neural Collapse in (Large) Language Models Robert Wu, Vardan Papyan
Main Conference Track
Mixture of Scales: Memory-Efficient Token-Adaptive Binarization for Large Language Models Dongwon Jo, Taesu Kim, Yulhwa Kim, Jae-Joon Kim
Main Conference Track
Confusion-Resistant Federated Learning via Diffusion-Based Data Harmonization on Non-IID Data Xiaohong Chen, Canran Xiao, Yongmei Liu
Main Conference Track
Transformers on Markov data: Constant depth suffices Nived Rajaraman, Marco Bondaschi, Kannan Ramchandran, Michael Gastpar, Ashok Vardhan Makkuva
Main Conference Track
ProTransformer: Robustify Transformers via Plug-and-Play Paradigm Zhichao Hou, Weizhi Gao, Yuchen Shen, Feiyi Wang, Xiaorui Liu
Main Conference Track
Benchmarking Complex Instruction-Following with Multiple Constraints Composition Bosi Wen, Pei Ke, Xiaotao Gu, Lindong Wu, Hao Huang, Jinfeng Zhou, Wenchuang Li, Binxin Hu, Wendy Gao, Jiaxin Xu, Yiming Liu, Jie Tang, Hongning Wang, Minlie Huang
Datasets and Benchmarks Track
Token Merging for Training-Free Semantic Binding in Text-to-Image Synthesis Taihang Hu, Linxuan Li, Joost van de Weijer, Hongcheng Gao, Fahad Shahbaz Khan, Jian Yang, Ming-Ming Cheng, Kai Wang, Yaxing Wang
Main Conference Track
Learning Complete Protein Representation by Dynamically Coupling of Sequence and Structure Bozhen Hu, Cheng Tan, Jun Xia, Yue Liu, Lirong Wu, Jiangbin Zheng, Yongjie Xu, Yufei Huang, Stan Z. Li
Main Conference Track
Graph Classification via Reference Distribution Learning: Theory and Practice Zixiao Wang, Jicong Fan
Main Conference Track
Diffusion Twigs with Loop Guidance for Conditional Graph Generation Giangiacomo Mercatali, Yogesh Verma, Andre Freitas, Vikas Garg
Main Conference Track
Partial Transportability for Domain Generalization Kasra Jalaldoust, Alexis Bellot, Elias Bareinboim
Main Conference Track
Learning the Infinitesimal Generator of Stochastic Diffusion Processes Vladimir R. Kostic, Karim Lounici, Hélène Halconruy, Timothée Devergne, Massimiliano Pontil
Main Conference Track
FNP: Fourier Neural Processes for Arbitrary-Resolution Data Assimilation Kun Chen, Peng Ye, Hao Chen, Kang Chen, Tao Han, Wanli Ouyang, Tao Chen, Lei Bai
Main Conference Track
Computing the Bias of Constant-step Stochastic Approximation with Markovian Noise Sebastian Allmeier, Nicolas Gast
Main Conference Track
InversionView: A General-Purpose Method for Reading Information from Neural Activations Xinting Huang, Madhur Panwar, Navin Goyal, Michael Hahn
Main Conference Track
Learning to Reason Iteratively and Parallelly for Complex Visual Reasoning Scenarios Shantanu Jaiswal, Debaditya Roy, Basura Fernando, Cheston Tan
Main Conference Track
Divergences between Language Models and Human Brains Yuchen Zhou, Emmy Liu, Graham Neubig, Michael J. Tarr, Leila Wehbe
Main Conference Track
Going Beyond Heuristics by Imposing Policy Improvement as a Constraint Chi-Chang Lee, Zhang-Wei Hong, Pulkit Agrawal
Main Conference Track
Human Expertise in Algorithmic Prediction Rohan Alur, Manish Raghavan, Devavrat Shah
Main Conference Track
Unsupervised Anomaly Detection in The Presence of Missing Values Feng Xiao, Jicong Fan
Main Conference Track
Linear Time Approximation Algorithm for Column Subset Selection with Local Search Yuanbin Zou, Ziyun Huang, Jinhui Xu, Jianxin Wang, Qilong Feng
Main Conference Track
Bounds for the smallest eigenvalue of the NTK for arbitrary spherical data of arbitrary dimension Kedar Karhadkar, Michael Murray, Guido Montúfar
Main Conference Track
Neural collapse vs. low-rank bias: Is deep neural collapse really optimal? Peter Súkeník, Christoph Lampert, Marco Mondelli
Main Conference Track
An Analysis of Elo Rating Systems via Markov Chains Sam Olesker-Taylor, Luca Zanetti
Main Conference Track
Fine-grained Analysis of In-context Linear Estimation: Data, Architecture, and Beyond Yingcong Li, Ankit Singh Rawat, Samet Oymak
Main Conference Track
Enhancing Diversity in Bayesian Deep Learning via Hyperspherical Energy Minimization of CKA David Smerkous, Qinxun Bai, Li Fuxin
Main Conference Track
Truth is Universal: Robust Detection of Lies in LLMs Lennart Bürger, Fred A. Hamprecht, Boaz Nadler
Main Conference Track
Theoretical guarantees in KL for Diffusion Flow Matching Marta Gentiloni Silveri, Giovanni Conforti, Alain Durmus
Main Conference Track
Improving the Learning Capability of Small-size Image Restoration Network by Deep Fourier Shifting Man Zhou
Main Conference Track
Thought of Search: Planning with Language Models Through The Lens of Efficiency Michael Katz, Harsha Kokel, Kavitha Srinivas, Shirin Sohrabi
Main Conference Track
TextCtrl: Diffusion-based Scene Text Editing with Prior Guidance Control Weichao Zeng, Yan Shu, Zhenhang Li, Dongbao Yang, Yu Zhou
Main Conference Track
Reflective Multi-Agent Collaboration based on Large Language Models Xiaohe Bo, Zeyu Zhang, Quanyu Dai, Xueyang Feng, Lei Wang, Rui Li, Xu Chen, Ji-Rong Wen
Main Conference Track
PediatricsGPT: Large Language Models as Chinese Medical Assistants for Pediatric Applications Dingkang Yang, Jinjie Wei, Dongling Xiao, Shunli Wang, Tong Wu, Gang Li, Mingcheng Li, Shuaibing Wang, Jiawei Chen, Yue Jiang, Qingyao Xu, Ke Li, Peng Zhai, Lihua Zhang
Main Conference Track
Provably Mitigating Overoptimization in RLHF: Your SFT Loss is Implicitly an Adversarial Regularizer Zhihan Liu, Miao Lu, Shenao Zhang, Boyi Liu, Hongyi Guo, Yingxiang Yang, Jose Blanchet, Zhaoran Wang
Main Conference Track
Scalable Constrained Policy Optimization for Safe Multi-agent Reinforcement Learning Lijun Zhang, Lin Li, Wei Wei, Huizhong Song, Yaodong Yang, Jiye Liang
Main Conference Track
Segment Anything without Supervision XuDong Wang, Jingfeng Yang, Trevor Darrell
Main Conference Track
No Free Lunch in LLM Watermarking: Trade-offs in Watermarking Design Choices Qi Pang, Shengyuan Hu, Wenting Zheng, Virginia Smith
Main Conference Track
VISA: Variational Inference with Sequential Sample-Average Approximations Heiko Zimmermann, Christian A. Naesseth, Jan-Willem van de Meent
Main Conference Track
Amortized Eigendecomposition for Neural Networks Tianbo Li, Zekun Shi, Jiaxi Zhao, Min Lin
Main Conference Track
AdaFlow: Imitation Learning with Variance-Adaptive Flow-Based Policies Xixi Hu, Bo Liu, Xingchao Liu, Qiang Liu
Main Conference Track
pcaGAN: Improving Posterior-Sampling cGANs via Principal Component Regularization Matthew C. Bendel, Rizwan Ahmad, Philip Schniter
Main Conference Track
Unified Guidance for Geometry-Conditioned Molecular Generation Sirine Ayadi, Leon Hetzel, Johanna Sommer, Fabian Theis, Stephan Günnemann
Main Conference Track
Off-Policy Selection for Initiating Human-Centric Experimental Design Ge Gao, Xi Yang, Qitong Gao, Song Ju, Miroslav Pajic, Min Chi
Main Conference Track
GUIDE: Real-Time Human-Shaped Agents Lingyu Zhang, Zhengran Ji, Nicholas R Waytowich, Boyuan Chen
Main Conference Track
SemFlow: Binding Semantic Segmentation and Image Synthesis via Rectified Flow Chaoyang Wang, Xiangtai Li, Lu Qi, Henghui Ding, Yunhai Tong, Ming-Hsuan Yang
Main Conference Track
Closed-Loop Visuomotor Control with Generative Expectation for Robotic Manipulation Qingwen Bu, Jia Zeng, Li Chen, Yanchao Yang, Guyue Zhou, Junchi Yan, Ping Luo, Heming Cui, Yi Ma, Hongyang Li
Main Conference Track
The Importance of Being Scalable: Improving the Speed and Accuracy of Neural Network Interatomic Potentials Across Chemical Domains Eric Qu, Aditi S. Krishnapriyan
Main Conference Track
Fisher Flow Matching for Generative Modeling over Discrete Data Oscar Davis, Samuel Kessler, Mircea Petrache, İsmail İlkan Ceylan, Michael Bronstein, Avishek Joey Bose
Main Conference Track
Novel Object Synthesis via Adaptive Text-Image Harmony Zeren Xiong, Zedong Zhang, Zikun Chen, Shuo Chen, Xiang Li, Gan Sun, Jian Yang, Jun Li
Main Conference Track
Evaluating Copyright Takedown Methods for Language Models Boyi Wei, Weijia Shi, Yangsibo Huang, Noah A. Smith, Chiyuan Zhang, Luke Zettlemoyer, Kai Li, Peter Henderson
Datasets and Benchmarks Track
Scalable and Effective Arithmetic Tree Generation for Adder and Multiplier Designs Yao Lai, Jinxin Liu, David Z. Pan, Ping Luo
Main Conference Track
Analysing the Generalisation and Reliability of Steering Vectors Daniel Tan, David Chanin, Aengus Lynch, Brooks Paige, Dimitrios Kanoulas, Adrià Garriga-Alonso, Robert Kirk
Main Conference Track
Adversarially Robust Multi-task Representation Learning Austin Watkins, Thanh Nguyen-Tang, Enayat Ullah, Raman Arora
Main Conference Track
AlphaTablets: A Generic Plane Representation for 3D Planar Reconstruction from Monocular Videos Yuze He, Wang Zhao, Shaohui Liu, Yubin Hu, Yushi Bai, Yu-Hui Wen, Yong-Jin Liu
Main Conference Track
Efficiency of the First-Price Auction in the Autobidding World Yuan Deng, Jieming Mao, Vahab Mirrokni, Hanrui Zhang, Song Zuo
Main Conference Track
Search for Efficient Large Language Models Xuan Shen, Pu Zhao, Yifan Gong, Zhenglun Kong, Zheng Zhan, Yushu Wu, Ming Lin, Chao Wu, Xue Lin, Yanzhi Wang
Main Conference Track
Query-Efficient Correlation Clustering with Noisy Oracle Yuko Kuroki, Atsushi Miyauchi, Francesco Bonchi, Wei Chen
Main Conference Track
Visual Sketchpad: Sketching as a Visual Chain of Thought for Multimodal Language Models Yushi Hu, Weijia Shi, Xingyu Fu, Dan Roth, Mari Ostendorf, Luke Zettlemoyer, Noah A. Smith, Ranjay Krishna
Main Conference Track
Enhancing Robustness of Last Layer Two-Stage Fair Model Corrections Nathan Stromberg, Rohan Ayyagari, Sanmi Koyejo, Richard Nock, Lalitha Sankar
Main Conference Track
Recurrent neural networks: vanishing and exploding gradients are not the end of the story Nicolas Zucchet, Antonio Orvieto
Main Conference Track
Boosting Text-to-Video Generative Model with MLLMs Feedback Xun Wu, Shaohan Huang, Guolong Wang, Jing Xiong, Furu Wei
Main Conference Track
Fully Distributed, Flexible Compositional Visual Representations via Soft Tensor Products Bethia Sun, Maurice Pagnucco, Yang Song
Main Conference Track
Visual Riddles: a Commonsense and World Knowledge Challenge for Large Vision and Language Models Nitzan Bitton-Guetta, Aviv Slobodkin, Aviya Maimon, Eliya Habba, Royi Rassin, Yonatan Bitton, Idan Szpektor, Amir Globerson, Yuval Elovici
Datasets and Benchmarks Track
Fair GLASSO: Estimating Fair Graphical Models with Unbiased Statistical Behavior Madeline Navarro, Samuel Rey, Andrei Buciulea, Antonio G. Marques, Santiago Segarra
Main Conference Track
The Iterative Optimal Brain Surgeon: Faster Sparse Recovery by Leveraging Second-Order Information Diyuan Wu, Ionut-Vlad Modoranu, Mher Safaryan, Denis Kuznedelev, Dan Alistarh
Main Conference Track
Dispelling the Mirage of Progress in Offline MARL through Standardised Baselines and Evaluation Claude Formanek, Callum Rhys Tilbury, Louise Beyers, Jonathan Shock, Arnu Pretorius
Datasets and Benchmarks Track
Unified Speech Recognition: A Single Model for Auditory, Visual, and Audiovisual Inputs Alexandros Haliassos, Rodrigo Mira, Honglie Chen, Zoe Landgraf, Stavros Petridis, Maja Pantic
Main Conference Track
LG-VQ: Language-Guided Codebook Learning Guotao Liang, Baoquan Zhang, Yaowei Wang, Xutao Li, Yunming Ye, Huaibin Wang, Chuyao Luo, Kola Ye, Linfeng Luo
Main Conference Track
VCR-GauS: View Consistent Depth-Normal Regularizer for Gaussian Surface Reconstruction Hanlin Chen, Fangyin Wei, Chen Li, Tianxin Huang, Yunsong Wang, Gim Hee Lee
Main Conference Track
HAWK: Learning to Understand Open-World Video Anomalies Jiaqi Tang, Hao Lu, Ruizheng Wu, Xiaogang Xu, Ke Ma, Cheng Fang, Bin Guo, Jiangbo Lu, Qifeng Chen, Ying-Cong Chen
Main Conference Track
Understanding Linear Probing then Fine-tuning Language Models from NTK Perspective Akiyoshi Tomihari, Issei Sato
Main Conference Track
Nearly Optimal Approximation of Matrix Functions by the Lanczos Method Noah Amsel, Tyler Chen, Anne Greenbaum, Cameron Musco, Christopher Musco
Main Conference Track
OneRef: Unified One-tower Expression Grounding and Segmentation with Mask Referring Modeling Linhui Xiao, Xiaoshan Yang, Fang Peng, Yaowei Wang, Changsheng Xu
Main Conference Track
A Swiss Army Knife for Heterogeneous Federated Learning: Flexible Coupling via Trace Norm Tianchi Liao, Lele Fu, Jialong Chen, Zhen Wang, Zibin Zheng, Chuan Chen
Main Conference Track
Probing Social Bias in Labor Market Text Generation by ChatGPT: A Masked Language Model Approach Lei Ding, Yang Hu, Nicole Denier, Enze Shi, Junxi Zhang, Qirui Hu, Karen D. Hughes, Linglong Kong, Bei Jiang
Main Conference Track
Safety through feedback in Constrained RL Shashank Reddy Chirra, Pradeep Varakantham, Praveen Paruchuri
Main Conference Track
Regularized Conditional Diffusion Model for Multi-Task Preference Alignment Xudong Yu, Chenjia Bai, Haoran He, Changhong Wang, Xuelong Li
Main Conference Track
MiniCache: KV Cache Compression in Depth Dimension for Large Language Models Akide Liu, Jing Liu, Zizheng Pan, Yefei He, Gholamreza Haffari, Bohan Zhuang
Main Conference Track
Neural Localizer Fields for Continuous 3D Human Pose and Shape Estimation István Sárándi, Gerard Pons-Moll
Main Conference Track
Learning Partitions from Context Simon Buchholz
Main Conference Track
Speaking Your Language: Spatial Relationships in Interpretable Emergent Communication Olaf Lipinski, Adam J. Sobey, Federico Cerutti, Timothy J. Norman
Main Conference Track
LightGaussian: Unbounded 3D Gaussian Compression with 15x Reduction and 200+ FPS Zhiwen Fan, Kevin Wang, Kairun Wen, Zehao Zhu, Dejia Xu, Zhangyang Wang
Main Conference Track
Topic-Conversation Relevance (TCR) Dataset and Benchmarks Yaran Fan, Jamie Pool, Senja Filipi, Ross Cutler
Datasets and Benchmarks Track
Rapid Plug-in Defenders Kai Wu, Yujian Betterest Li, Jian Lou, Xiaoyu Zhang, Handing Wang, Jing Liu
Main Conference Track
TGB 2.0: A Benchmark for Learning on Temporal Knowledge Graphs and Heterogeneous Graphs Julia Gastinger, Shenyang Huang, Mikhail Galkin, Erfan Loghmani, Ali Parviz, Farimah Poursafaei, Jacob Danovitch, Emanuele Rossi, Ioannis Koutis, Heiner Stuckenschmidt, Reihaneh Rabbany, Guillaume Rabusseau
Datasets and Benchmarks Track
Quantitative Convergences of Lie Group Momentum Optimizers Lingkai Kong, Molei Tao
Main Conference Track
ZOPP: A Framework of Zero-shot Offboard Panoptic Perception for Autonomous Driving Tao Ma, Hongbin Zhou, Qiusheng Huang, Xuemeng Yang, Jianfei Guo, Bo Zhang, Min Dou, Yu Qiao, Botian Shi, Hongsheng Li
Main Conference Track
An Offline Adaptation Framework for Constrained Multi-Objective Reinforcement Learning Qian Lin, Zongkai Liu, Danying Mo, Chao Yu
Main Conference Track
MOTIVE: A Drug-Target Interaction Graph For Inductive Link Prediction John Arevalo, Ellen Su, Anne E. Carpenter, Shantanu Singh
Datasets and Benchmarks Track
CARES: A Comprehensive Benchmark of Trustworthiness in Medical Vision Language Models Peng Xia, Ze Chen, Juanxi Tian, Yangrui Gong, Ruibo Hou, Yue Xu, Zhenbang Wu, Zhiyuan Fan, Yiyang Zhou, Kangyu Zhu, Wenhao Zheng, Zhaoyang Wang, Xiao Wang, Xuchao Zhang, Chetan Bansal, Marc Niethammer, Junzhou Huang, Hongtu Zhu, Yun Li, Jimeng Sun, Zongyuan Ge, Gang Li, James Zou, Huaxiu Yao
Datasets and Benchmarks Track
On Tractable $\Phi$-Equilibria in Non-Concave Games Yang Cai, Constantinos Daskalakis, Haipeng Luo, Chen-Yu Wei, Weiqiang Zheng
Main Conference Track
Achievable Fairness on Your Data With Utility Guarantees Muhammad Faaiz Taufiq, Jean-François Ton, Yang Liu
Main Conference Track
A New Neural Kernel Regime: The Inductive Bias of Multi-Task Learning Julia Nakhleh, Joseph Shenouda, Robert D. Nowak
Main Conference Track
A survey and benchmark of high-dimensional Bayesian optimization of discrete sequences Miguel González-Duque, Richard Michael, Simon Bartels, Yevgen Zainchkovskyy, Søren Hauberg, Wouter Boomsma
Datasets and Benchmarks Track
MKGL: Mastery of a Three-Word Language Lingbing Guo, Zhongpu Bo, Zhuo Chen, Yichi Zhang, Jiaoyan Chen, Yarong Lan, Mengshu Sun, Zhiqiang Zhang, Yangyifei Luo, Qian Li, Qiang Zhang, Wen Zhang, Huajun Chen
Main Conference Track
MatFormer: Nested Transformer for Elastic Inference Devvrit, Sneha Kudugunta, Aditya Kusupati, Tim Dettmers, Kaifeng Chen, Inderjit Dhillon, Yulia Tsvetkov, Hannaneh Hajishirzi, Sham Kakade, Ali Farhadi, Prateek Jain
Main Conference Track
Reinforcement Learning Policy as Macro Regulator Rather than Macro Placer Ke Xue, Ruo-Tong Chen, Xi Lin, Yunqi Shi, Shixiong Kai, Siyuan Xu, Chao Qian
Main Conference Track
UniTS: A Unified Multi-Task Time Series Model Shanghua Gao, Teddy Koker, Owen Queen, Thomas Hartvigsen, Theodoros Tsiligkaridis, Marinka Zitnik
Main Conference Track
VHELM: A Holistic Evaluation of Vision Language Models Tony Lee, Haoqin Tu, Chi Heem Wong, Wenhao Zheng, Yiyang Zhou, Yifan Mai, Josselin Somerville Roberts, Michihiro Yasunaga, Huaxiu Yao, Cihang Xie, Percy Liang
Datasets and Benchmarks Track
Connecting the Dots: LLMs can Infer and Verbalize Latent Structure from Disparate Training Data Johannes Treutlein, Dami Choi, Jan Betley, Sam Marks, Cem Anil, Roger Grosse, Owain Evans
Main Conference Track
Penalty-based Methods for Simple Bilevel Optimization under Hölderian Error Bounds Pengyu Chen, Xu Shi, Rujun Jiang, Jiulin Wang
Main Conference Track
KptLLM: Unveiling the Power of Large Language Model for Keypoint Comprehension Jie Yang, Wang Zeng, Sheng Jin, Lumin Xu, Wentao Liu, Chen Qian, Ruimao Zhang
Main Conference Track
Recurrent Complex-Weighted Autoencoders for Unsupervised Object Discovery Anand Gopalakrishnan, Aleksandar Stanić, Jürgen Schmidhuber, Michael Curtis Mozer
Main Conference Track
WikiDO: A New Benchmark Evaluating Cross-Modal Retrieval for Vision-Language Models T Pavan Kalyan, Piyush Singh Pasi, Sahil Nilesh Dharod, Azeem Azaz Motiwala, Preethi Jyothi, Aditi Chaudhary, Krishna Srinivasan
Datasets and Benchmarks Track
CoMix: A Comprehensive Benchmark for Multi-Task Comic Understanding Emanuele Vivoli, Marco Bertini, Dimosthenis Karatzas
Datasets and Benchmarks Track
A Unifying Normative Framework of Decision Confidence Amelia M. Johnson, Micheal A. Buice, Koosha Khalvati
Main Conference Track
Hyperbolic Embeddings of Supervised Models Richard Nock, Ehsan Amid, Frank Nielsen, Alexander Soen, Manfred K. Warmuth
Main Conference Track
Multi-modal Situated Reasoning in 3D Scenes Xiongkun Linghu, Jiangyong Huang, Xuesong Niu, Xiaojian Ma, Baoxiong Jia, Siyuan Huang
Datasets and Benchmarks Track
High-probability complexity bounds for stochastic non-convex minimax optimization Yassine Laguel, Yasa Syed, Necdet Serhat Aybat, Mert Gürbüzbalaban
Main Conference Track
Instance-Specific Asymmetric Sensitivity in Differential Privacy David Durfee
Main Conference Track
End-to-End Video Semantic Segmentation in Adverse Weather using Fusion Blocks and Temporal-Spatial Teacher-Student Learning Xin Yang, Yan Wending, Michael Bi Mi, Yuan Yuan, Robby T. Tan
Main Conference Track
AV-Cloud: Spatial Audio Rendering Through Audio-Visual Cloud Splatting Mingfei Chen, Eli Shlizerman
Main Conference Track
Can Large Language Models Analyze Graphs like Professionals? A Benchmark, Datasets and Models Xin Li, Weize Chen, Qizhi Chu, Haopeng Li, Zhaojun Sun, Ran Li, Chen Qian, Yiwei Wei, Zhiyuan Liu, Chuan Shi, Maosong Sun, Cheng Yang
Datasets and Benchmarks Track
A Best-of-both-worlds Algorithm for Bandits with Delayed Feedback with Robustness to Excessive Delays Saeed Masoudian, Julian Zimmert, Yevgeny Seldin
Main Conference Track
Propensity Score Alignment of Unpaired Multimodal Data Johnny Xi, Jana Osea, Zuheng (David) Xu, Jason Hartford
Main Conference Track
Neural Gaffer: Relighting Any Object via Diffusion Haian Jin, Yuan Li, Fujun Luan, Yuanbo Xiangli, Sai Bi, Kai Zhang, Zexiang Xu, Jin Sun, Noah Snavely
Main Conference Track
Improving Temporal Link Prediction via Temporal Walk Matrix Projection Xiaodong Lu, Leilei Sun, Tongyu Zhu, Weifeng Lv
Main Conference Track
CLUES: Collaborative Private-domain High-quality Data Selection for LLMs via Training Dynamics Wanru Zhao, Hongxiang Fan, Shell Xu Hu, Bofan Chen, Nicholas D. Lane
Main Conference Track
BAKU: An Efficient Transformer for Multi-Task Policy Learning Siddhant Haldar, Zhuoran Peng, Lerrel Pinto
Main Conference Track
Data curation via joint example selection further accelerates multimodal learning Talfan Evans, Nikhil Parthasarathy, Hamza Merzić, Olivier J. Hénaff
Datasets and Benchmarks Track
ImOV3D: Learning Open Vocabulary Point Clouds 3D Object Detection from Only 2D Images Timing Yang, Yuanliang Ju, Li Yi
Main Conference Track
Discovering Sparsity Allocation for Layer-wise Pruning of Large Language Models Lujun Li, Peijie Dong, Zhenheng Tang, Xiang Liu, Qiang Wang, Wenhan Luo, Wei Xue, Qifeng Liu, Xiaowen Chu, Yike Guo
Main Conference Track
A Compositional Atlas for Algebraic Circuits Benjie Wang, Denis Deratani Mauá, Guy Van den Broeck, YooJung Choi
Main Conference Track
Efficient and Private Marginal Reconstruction with Local Non-Negativity Brett Mullins, Miguel Fuentes, Yingtai Xiao, Daniel Kifer, Cameron Musco, Daniel Sheldon
Main Conference Track
DynaMITE-RL: A Dynamic Model for Improved Temporal Meta-Reinforcement Learning Anthony Liang, Guy Tennenholtz, Chih-Wei Hsu, Yinlam Chow, Erdem Biyik, Craig Boutilier
Main Conference Track
First-Order Methods for Linearly Constrained Bilevel Optimization Guy Kornowski, Swati Padmanabhan, Kai Wang, Jimmy Zhang, Suvrit Sra
Main Conference Track
Neural Embeddings Rank: Aligning 3D latent dynamics with movements Chenggang Chen, Zhiyu Yang, Xiaoqin Wang
Main Conference Track
Optimal Hypothesis Selection in (Almost) Linear Time Maryam Aliakbarpour, Mark Bun, Adam Smith
Main Conference Track
Iterative Methods via Locally Evolving Set Process Baojian Zhou, Yifan Sun, Reza Babanezhad Harikandeh, Xingzhi Guo, Deqing Yang, Yanghua Xiao
Main Conference Track

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