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GitHub Repo for ICLR 2023 Paper "Temporal Domain Generalization with Drift-Aware Dynamic Neural Networks"

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DRAIN

GitHub Repo for ICLR 2023 (Oral) Paper "Temporal Domain Generalization with Drift-Aware Dynamic Neural Networks"

OpenReview link: https://openreview.net/forum?id=sWOsRj4nT1n

Our experiments include both classificaiton and regression datasets. For example, to run our experiments on 2-Moons dataset, go to the "classification" folder and do

  1. name model_moons.py as model.py

  2. python train.py --dataset Moons

Similar process for other datasets.

The code has been tested with PyTorch and Anaconda.

If you find this code useful in your research, please consider citing:

    @inproceedings{
    bai2023temporal,
    title={Temporal Domain Generalization with Drift-Aware Dynamic Neural Networks},
    author={Guangji Bai and Chen Ling and Liang Zhao},
    booktitle={The Eleventh International Conference on Learning Representations },
    year={2023},
    url={https://openreview.net/forum?id=sWOsRj4nT1n}
    }

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GitHub Repo for ICLR 2023 Paper "Temporal Domain Generalization with Drift-Aware Dynamic Neural Networks"

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