Correct-N-Contrast: a Contrastive Approach for Improving Robustness to Spurious Correlations

Michael Zhang, Nimit Sharad Sohoni, Hongyang R. Zhang, Chelsea Finn, Christopher Ré. Correct-N-Contrast: a Contrastive Approach for Improving Robustness to Spurious Correlations. In Kamalika Chaudhuri, Stefanie Jegelka, Le Song, Csaba Szepesvári, Gang Niu 0001, Sivan Sabato, editors, International Conference on Machine Learning, ICML 2022, 17-23 July 2022, Baltimore, Maryland, USA. Volume 162 of Proceedings of Machine Learning Research, pages 26484-26516, PMLR, 2022. [doi]

Abstract

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