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Rectifying Group Irregularities in Explanations for Distribution Shift


May 25, 2023
Adam Stein, Yinjun Wu, Eric Wong, Mayur Naik

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* 19 pages, 5 figures 

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Do Machine Learning Models Learn Common Sense?


Mar 02, 2023
Aaditya Naik, Yinjun Wu, Mayur Naik, Eric Wong

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In-context Example Selection with Influences


Feb 21, 2023
Tai Nguyen, Eric Wong

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Adversarial Prompting for Black Box Foundation Models


Feb 08, 2023
Natalie Maus, Patrick Chao, Eric Wong, Jacob Gardner

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* 11 pages of main text, supplementary material after references 

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Faithful Chain-of-Thought Reasoning


Feb 01, 2023
Qing Lyu, Shreya Havaldar, Adam Stein, Li Zhang, Delip Rao, Eric Wong, Marianna Apidianaki, Chris Callison-Burch

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A Data-Based Perspective on Transfer Learning


Jul 12, 2022
Saachi Jain, Hadi Salman, Alaa Khaddaj, Eric Wong, Sung Min Park, Aleksander Madry

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When does Bias Transfer in Transfer Learning?


Jul 06, 2022
Hadi Salman, Saachi Jain, Andrew Ilyas, Logan Engstrom, Eric Wong, Aleksander Madry

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Missingness Bias in Model Debugging


Apr 19, 2022
Saachi Jain, Hadi Salman, Eric Wong, Pengchuan Zhang, Vibhav Vineet, Sai Vemprala, Aleksander Madry

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* Published at ICLR 2022 

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Certified Patch Robustness via Smoothed Vision Transformers


Oct 11, 2021
Hadi Salman, Saachi Jain, Eric Wong, Aleksander Mądry

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