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Causally-motivated Shortcut Removal Using Auxiliary Labels.

, , , , , и . CoRR, (2021)

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August Packer

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