Learning Concept Credible Models for Mitigating Shortcuts
Published in NeurIPS 2022, 2022
Models can exploit spurious correlations as shortcuts during training. We aim to learn robust and accurate models from biased training data using both known and unknown concepts.
Recommended citation: Jiaxuan Wang, Sarah Jabbour, Maggie Makar, Michael W. Sjoding, Jenna Wiens. Learning Concept Credible Models for Mitigating Shortcuts. *NeurIPS*, November 2022. https://openreview.net/pdf?id=yKYCwTvl8eU