https://openreview.net/forum?id=avgclFZ221l
Asymmetry Learning for Counterfactually-invariant Classification in OOD Tasks | OpenReview
Generalizing from observed to new related environments (out-of-distribution) is central to the reliability of classifiers. However, most classifiers fail to...
learning forasymmetryinvariantclassificationood
https://aclanthology.org/2022.naacl-main.347/
Counterfactually Augmented Data and Unintended Bias: The Case of Sexism and Hate Speech Detection -...
Indira Sen, Mattia Samory, Claudia Wagner, Isabelle Augenstein. Proceedings of the 2022 Conference of the North American Chapter of the Association for...