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07/11/2023
Towards A Scalable Solution for Improving Multi-Group Fairness in Compositional Classification
Despite the rich literature on machine learning fairness, relatively lit...
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11/11/2022
Striving for data-model efficiency: Identifying data externalities on group performance
Building trustworthy, effective, and responsible machine learning system...
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06/28/2022
Flexible text generation for counterfactual fairness probing
A common approach for testing fairness issues in text-based classifiers ...
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05/13/2021
Causally-motivated Shortcut Removal Using Auxiliary Labels
Robustness to certain distribution shifts is a key requirement in many M...
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10/05/2020
CAT-Gen: Improving Robustness in NLP Models via Controlled Adversarial Text Generation
NLP models are shown to suffer from robustness issues, i.e., a model's p...
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06/18/2012
