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Causally motivated shortcut removal using auxiliary labels.

, , , , , and . AISTATS, volume 151 of Proceedings of Machine Learning Research, page 739-766. PMLR, (2022)

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Causally-motivated Shortcut Removal Using Auxiliary Labels., , , , , and . CoRR, (2021)Towards A Scalable Solution for Improving Multi-Group Fairness in Compositional Classification., , , , , , , and . CoRR, (2023)Can We Improve Model Robustness through Secondary Attribute Counterfactuals?, , , , , and . EMNLP (1), page 4701-4712. Association for Computational Linguistics, (2021)CAT-Gen: Improving Robustness in NLP Models via Controlled Adversarial Text Generation., , , , , , , and . EMNLP (1), page 5141-5146. Association for Computational Linguistics, (2020)Improving Classifier Robustness through Active Generation of Pairwise Counterfactuals., , , , , , , and . CoRR, (2023)Striving for data-model efficiency: Identifying data externalities on group performance., , , and . CoRR, (2022)Flexible text generation for counterfactual fairness probing., , , , , and . CoRR, (2022)Causally motivated shortcut removal using auxiliary labels., , , , , and . AISTATS, volume 151 of Proceedings of Machine Learning Research, page 739-766. PMLR, (2022)Improving Classifier Robustness through Active Generative Counterfactual Data Augmentation., , , , , , , and . EMNLP (Findings), page 127-139. Association for Computational Linguistics, (2023)Improving Diversity of Demographic Representation in Large Language Models via Collective-Critiques and Self-Voting., , , , , , , , , and 1 other author(s). EMNLP, page 10383-10405. Association for Computational Linguistics, (2023)