Fighting Bias With Bias: Promoting Model Robustness by Amplifying Dataset Biases

Yuval Reif, Roy Schwartz 0001. Fighting Bias With Bias: Promoting Model Robustness by Amplifying Dataset Biases. In Anna Rogers, Jordan L. Boyd-Graber, Naoaki Okazaki, editors, Findings of the Association for Computational Linguistics: ACL 2023, Toronto, Canada, July 9-14, 2023. pages 13169-13189, Association for Computational Linguistics, 2023. [doi]

@inproceedings{Reif023,
  title = {Fighting Bias With Bias: Promoting Model Robustness by Amplifying Dataset Biases},
  author = {Yuval Reif and Roy Schwartz 0001},
  year = {2023},
  url = {https://aclanthology.org/2023.findings-acl.833},
  researchr = {https://researchr.org/publication/Reif023},
  cites = {0},
  citedby = {0},
  pages = {13169-13189},
  booktitle = {Findings of the Association for Computational Linguistics: ACL 2023, Toronto, Canada, July 9-14, 2023},
  editor = {Anna Rogers and Jordan L. Boyd-Graber and Naoaki Okazaki},
  publisher = {Association for Computational Linguistics},
  isbn = {978-1-959429-62-3},
}