This repo contains the code for submission 1876 - Diffusion-Based Probabilistic Uncertainty Estimation for Active Domain Adaptation.

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## How to Run the Code
To run the code, you should generate a dataset list file which contains paths of all samples on your machine, and put them to data_list/{dataset_name}.

We provide a script for running ADA experiments on Office-31 dataset in "run_office_31.sh". For instance, to run an instance for task A->D:

python main.py --config ./configs/office-31.yml --source_domain amazon --target_domain dslr

## Acknowledgments
This project builds upon the invaluable contributions of following open-source projects:

1. EADA (https://github.com/BIT-DA/EADA)
2. CARD (https://github.com/XzwHan/CARD)

We express our sincere gratitude to the talented authors who have generously shared their source code with the public, enabling us to leverage their work in our own endeavor.

