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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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Efficient computation and analysis of distributional Shapley values


Jul 02, 2020
Yongchan Kwon, Manuel A. Rivas, James Zou

* 23 pages 

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Improving Adversarial Robustness via Unlabeled Out-of-Domain Data


Jun 15, 2020
Zhun Deng, Linjun Zhang, Amirata Ghorbani, James Zou


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FrugalML: How to Use ML Prediction APIs More Accurately and Cheaply


Jun 12, 2020
Lingjiao Chen, Matei Zaharia, James Zou


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Beyond User Self-Reported Likert Scale Ratings: A Comparison Model for Automatic Dialog Evaluation


Jun 12, 2020
Weixin Liang, James Zou, Zhou Yu

* ACL 2020 

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MOPO: Model-based Offline Policy Optimization


May 27, 2020
Tianhe Yu, Garrett Thomas, Lantao Yu, Stefano Ermon, James Zou, Sergey Levine, Chelsea Finn, Tengyu Ma

* First two authors contributed equally. Last two authors advised equally 

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Improving Training on Noisy Stuctured Labels


Mar 08, 2020
Abubakar Abid, James Zou

* 8 pages main text, 13 pages total 

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A Distributional Framework for Data Valuation


Feb 27, 2020
Amirata Ghorbani, Michael P. Kim, James Zou


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Neuron Shapley: Discovering the Responsible Neurons


Feb 25, 2020
Amirata Ghorbani, James Zou


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Approximate Data Deletion from Machine Learning Models: Algorithms and Evaluations


Feb 24, 2020
Zachary Izzo, Mary Anne Smart, Kamalika Chaudhuri, James Zou

* 20 pages, 2 figures, under review by ICML 

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