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
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name model_moons.py as model.py
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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}
}