Can We Improve Model Robustness through Secondary Attribute Counterfactuals?

Ananth Balashankar, Xuezhi Wang 0002, Ben Packer, Nithum Thain, Ed H. Chi, Alex Beutel. Can We Improve Model Robustness through Secondary Attribute Counterfactuals?. In Marie-Francine Moens, Xuanjing Huang, Lucia Specia, Scott Wen-tau Yih, editors, Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, EMNLP 2021, Virtual Event / Punta Cana, Dominican Republic, 7-11 November, 2021. pages 4701-4712, Association for Computational Linguistics, 2021. [doi]

@inproceedings{Balashankar0PTC21,
  title = {Can We Improve Model Robustness through Secondary Attribute Counterfactuals?},
  author = {Ananth Balashankar and Xuezhi Wang 0002 and Ben Packer and Nithum Thain and Ed H. Chi and Alex Beutel},
  year = {2021},
  url = {https://aclanthology.org/2021.emnlp-main.386},
  researchr = {https://researchr.org/publication/Balashankar0PTC21},
  cites = {0},
  citedby = {0},
  pages = {4701-4712},
  booktitle = {Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, EMNLP 2021, Virtual Event / Punta Cana, Dominican Republic, 7-11 November, 2021},
  editor = {Marie-Francine Moens and Xuanjing Huang and Lucia Specia and Scott Wen-tau Yih},
  publisher = {Association for Computational Linguistics},
}