Toward learning human-aligned cross-domain robust models by countering misaligned features

Haohan Wang, Zeyi Huang, Hanlin Zhang, Yong Jae Lee, Eric P. Xing. Toward learning human-aligned cross-domain robust models by countering misaligned features. In James Cussens, Kun Zhang 0001, editors, Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, UAI 2022, 1-5 August 2022, Eindhoven, The Netherlands. Volume 180 of Proceedings of Machine Learning Research, pages 2075-2084, PMLR, 2022. [doi]

@inproceedings{WangHZLX22,
  title = {Toward learning human-aligned cross-domain robust models by countering misaligned features},
  author = {Haohan Wang and Zeyi Huang and Hanlin Zhang and Yong Jae Lee and Eric P. Xing},
  year = {2022},
  url = {https://proceedings.mlr.press/v180/wang22d.html},
  researchr = {https://researchr.org/publication/WangHZLX22},
  cites = {0},
  citedby = {0},
  pages = {2075-2084},
  booktitle = {Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, UAI 2022, 1-5 August 2022, Eindhoven, The Netherlands},
  editor = {James Cussens and Kun Zhang 0001},
  volume = {180},
  series = {Proceedings of Machine Learning Research},
  publisher = {PMLR},
}