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On the nonlinear correlation of ML performance between data subpopulations


May 04, 2023
Weixin Liang, Yining Mao, Yongchan Kwon, Xinyu Yang, James Zou

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* Accepted to the main conference of ICML 2023 

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GPT detectors are biased against non-native English writers


Apr 18, 2023
Weixin Liang, Mert Yuksekgonul, Yining Mao, Eric Wu, James Zou

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SEAL : Interactive Tool for Systematic Error Analysis and Labeling


Oct 11, 2022
Nazneen Rajani, Weixin Liang, Lingjiao Chen, Meg Mitchell, James Zou

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* Accepted at EMNLP 2022 demo track 

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Data Budgeting for Machine Learning


Oct 03, 2022
Xinyi Zhao, Weixin Liang, James Zou

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GSCLIP : A Framework for Explaining Distribution Shifts in Natural Language


Jun 30, 2022
Zhiying Zhu, Weixin Liang, James Zou

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* Accepted by ICML 2022 DataPerf 

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Disparities in Dermatology AI Performance on a Diverse, Curated Clinical Image Set


Mar 15, 2022
Roxana Daneshjou, Kailas Vodrahalli, Roberto A Novoa, Melissa Jenkins, Weixin Liang, Veronica Rotemberg, Justin Ko, Susan M Swetter, Elizabeth E Bailey, Olivier Gevaert, Pritam Mukherjee, Michelle Phung, Kiana Yekrang, Bradley Fong, Rachna Sahasrabudhe, Johan A. C. Allerup, Utako Okata-Karigane, James Zou, Albert Chiou

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Mind the Gap: Understanding the Modality Gap in Multi-modal Contrastive Representation Learning


Mar 03, 2022
Weixin Liang, Yuhui Zhang, Yongchan Kwon, Serena Yeung, James Zou

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* Our code and data are available at https://modalitygap.readthedocs.io/ 

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MetaShift: A Dataset of Datasets for Evaluating Contextual Distribution Shifts and Training Conflicts


Feb 14, 2022
Weixin Liang, James Zou

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* ICLR 2022. Code & data available at https://github.com/Weixin-Liang/MetaShift 

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Improving Out-of-Distribution Robustness via Selective Augmentation


Jan 02, 2022
Huaxiu Yao, Yu Wang, Sai Li, Linjun Zhang, Weixin Liang, James Zou, Chelsea Finn

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