| Theoretical analysis of self-training with deep networks on unlabeled data C Wei, K Shen, Y Chen, T Ma arXiv preprint arXiv:2010.03622, 2020 | 256 | 2020 |
| Extending the wilds benchmark for unsupervised adaptation S Sagawa, PW Koh, T Lee, I Gao, SM Xie, K Shen, A Kumar, W Hu, ... arXiv preprint arXiv:2112.05090, 2021 | 133 | 2021 |
| Connect, not collapse: Explaining contrastive learning for unsupervised domain adaptation K Shen, RM Jones, A Kumar, SM Xie, JZ HaoChen, T Ma, P Liang International conference on machine learning, 19847-19878, 2022 | 106 | 2022 |
| Theoretical analysis of self-training with deep networks on unlabeled data, 2020 C Wei, K Shen, Y Chen, T Ma URL https://openreview. net/forum, 2010 | 6 | 2010 |
| Extending the WILDS Benchmark for Unsupervised Adaptation T Lee, I Gao, SM Xie, K Shen, A Kumar, W Hu, M Yasunaga, H Marklund, ... arXiv preprint arXiv:2112.05090, 2021 | | 2021 |
