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Submix: Practical Private Prediction for Large-Scale Language Models


Jan 04, 2022
Antonio Ginart, Laurens van der Maaten, James Zou, Chuan Guo


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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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How to Learn when Data Gradually Reacts to Your Model


Dec 13, 2021
Zachary Izzo, James Zou, Lexing Ying

* 40 pages, 8 figures 

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Beyond Importance Scores: Interpreting Tabular ML by Visualizing Feature Semantics


Nov 30, 2021
Amirata Ghorbani, Dina Berenbaum, Maor Ivgi, Yuval Dafna, James Zou


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Disparities in Dermatology AI: Assessments Using Diverse Clinical Images


Nov 15, 2021
Roxana Daneshjou, Kailas Vodrahalli, Weixin Liang, Roberto A Novoa, Melissa Jenkins, Veronica Rotemberg, Justin Ko, Susan M Swetter, Elizabeth E Bailey, Olivier Gevaert, Pritam Mukherjee, Michelle Phung, Kiana Yekrang, Bradley Fong, Rachna Sahasrabudhe, James Zou, Albert Chiou

* Machine Learning for Health (ML4H) - Extended Abstract 

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Explaining medical AI performance disparities across sites with confounder Shapley value analysis


Nov 12, 2021
Eric Wu, Kevin Wu, James Zou

* Machine Learning for Health (ML4H) - Extended Abstract 

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Beta Shapley: a Unified and Noise-reduced Data Valuation Framework for Machine Learning


Oct 26, 2021
Yongchan Kwon, James Zou

* 24 pages, 13 figures 

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CloudPred: Predicting Patient Phenotypes From Single-cell RNA-seq


Oct 13, 2021
Bryan He, Matthew Thomson, Meena Subramaniam, Richard Perez, Chun Jimmie Ye, James Zou

* Preprint of an article published in Pacific Symposium on Biocomputing \copyright\ 2021 World Scientific Publishing Co., Singapore, http://psb.stanford.edu/ 

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Clustering Plotted Data by Image Segmentation


Oct 06, 2021
Tarek Naous, Srinjay Sarkar, Abubakar Abid, James Zou


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The Power of Contrast for Feature Learning: A Theoretical Analysis


Oct 06, 2021
Wenlong Ji, Zhun Deng, Ryumei Nakada, James Zou, Linjun Zhang

* 44 pages 

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Did the Model Change? Efficiently Assessing Machine Learning API Shifts


Jul 29, 2021
Lingjiao Chen, Tracy Cai, Matei Zaharia, James Zou


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Do Humans Trust Advice More if it Comes from AI? An Analysis of Human-AI Interactions


Jul 14, 2021
Kailas Vodrahalli, Tobias Gerstenberg, James Zou

* 34 pages, 6 figures + 18 full page figures 

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Meaningfully Explaining a Model's Mistakes


Jun 24, 2021
Abubakar Abid, James Zou

* ICML workshop on Theoretic Foundation, Criticism, and Application Trend of Explainable AI 

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Group-Structured Adversarial Training


Jun 18, 2021
Farzan Farnia, Amirali Aghazadeh, James Zou, David Tse


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Adversarial Training Helps Transfer Learning via Better Representations


Jun 18, 2021
Zhun Deng, Linjun Zhang, Kailas Vodrahalli, Kenji Kawaguchi, James Zou


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MLDemon: Deployment Monitoring for Machine Learning Systems


May 05, 2021
Antonio Ginart, Martin Zhang, James Zou


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Data Shapley Valuation for Efficient Batch Active Learning


Apr 16, 2021
Amirata Ghorbani, James Zou, Andre Esteva


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FrugalMCT: Efficient Online ML API Selection for Multi-Label Classification Tasks


Feb 18, 2021
Lingjiao Chen, Matei Zaharia, James Zou


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How to Learn when Data Reacts to Your Model: Performative Gradient Descent


Feb 16, 2021
Zachary Izzo, Lexing Ying, James Zou

* 21 pages, 5 figures 

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When and How Mixup Improves Calibration


Feb 11, 2021
Linjun Zhang, Zhun Deng, Kenji Kawaguchi, James Zou


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Persistent Anti-Muslim Bias in Large Language Models


Jan 18, 2021
Abubakar Abid, Maheen Farooqi, James Zou


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Neural Group Testing to Accelerate Deep Learning


Nov 21, 2020
Weixin Liang, James Zou


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Data Valuation for Medical Imaging Using Shapley Value: Application on A Large-scale Chest X-ray Dataset


Oct 15, 2020
Siyi Tang, Amirata Ghorbani, Rikiya Yamashita, Sameer Rehman, Jared A. Dunnmon, James Zou, Daniel L. Rubin


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How Does Mixup Help With Robustness and Generalization?


Oct 09, 2020
Linjun Zhang, Zhun Deng, Kenji Kawaguchi, Amirata Ghorbani, James Zou


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Competing AI: How competition feedback affects machine learning


Oct 02, 2020
Antonio Ginart, Eva Zhang, Yongchan Kwon, James Zou

* Manuscript 

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TrueImage: A Machine Learning Algorithm to Improve the Quality of Telehealth Photos


Oct 01, 2020
Kailas Vodrahalli, Roxana Daneshjou, Roberto A Novoa, Albert Chiou, Justin M Ko, James Zou

* 12 pages, 5 figures, Preprint of an article published in Pacific Symposium on Biocomputing \c{opyright} 2020 World Scientific Publishing Co., Singapore, http://psb.stanford.edu/ 

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ALICE: Active Learning with Contrastive Natural Language Explanations


Sep 22, 2020
Weixin Liang, James Zou, Zhou Yu

* EMNLP 2020 

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