Understanding and Improving Feature Learning for Out-of-Distribution Generalization

Yongqiang Chen, Wei Huang, Kaiwen Zhou, Yatao Bian, Bo Han, James Cheng. Understanding and Improving Feature Learning for Out-of-Distribution Generalization. In Alice Oh, Tristan Naumann, Amir Globerson, Kate Saenko, Moritz Hardt, Sergey Levine, editors, Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, NeurIPS 2023, New Orleans, LA, USA, December 10 - 16, 2023. 2023. [doi]

@inproceedings{ChenHZBHC23,
  title = {Understanding and Improving Feature Learning for Out-of-Distribution Generalization},
  author = {Yongqiang Chen and Wei Huang and Kaiwen Zhou and Yatao Bian and Bo Han and James Cheng},
  year = {2023},
  url = {http://papers.nips.cc/paper_files/paper/2023/hash/d73d5645ddbb9ada6c862116435574f6-Abstract-Conference.html},
  researchr = {https://researchr.org/publication/ChenHZBHC23},
  cites = {0},
  citedby = {0},
  booktitle = {Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, NeurIPS 2023, New Orleans, LA, USA, December 10 - 16, 2023},
  editor = {Alice Oh and Tristan Naumann and Amir Globerson and Kate Saenko and Moritz Hardt and Sergey Levine},
}