Zou, James Y.

29 publications

ICML 2024 In-Context Vectors: Making in Context Learning More Effective and Controllable Through Latent Space Steering Sheng Liu, Haotian Ye, Lei Xing, James Y. Zou

ICML 2024 Monitoring AI-Modified Content at Scale: A Case Study on the Impact of ChatGPT on AI Conference Peer Reviews Weixin Liang, Zachary Izzo, Yaohui Zhang, Haley Lepp, Hancheng Cao, Xuandong Zhao, Lingjiao Chen, Haotian Ye, Sheng Liu, Zhi Huang, Daniel Mcfarland, James Y. Zou

NeurIPS 2023 Beyond Confidence: Reliable Models Should Also Consider Atypicality Mert Yuksekgonul, Linjun Zhang, James Y Zou, Carlos Guestrin

NeurIPS 2023 DataPerf: Benchmarks for Data-Centric AI Development Mark Mazumder, Colby Banbury, Xiaozhe Yao, Bojan Karlaš, William Gaviria Rojas, Sudnya Diamos, Greg Diamos, Lynn He, Alicia Parrish, Hannah Rose Kirk, Jessica Quaye, Charvi Rastogi, Douwe Kiela, David Jurado, David Kanter, Rafael Mosquera, Will Cukierski, Juan Ciro, Lora Aroyo, Bilge Acun, Lingjiao Chen, Mehul Raje, Max Bartolo, Evan Sabri Eyuboglu, Amirata Ghorbani, Emmett Goodman, Addison Howard, Oana Inel, Tariq Kane, Christine R. Kirkpatrick, D. Sculley, Tzu-Sheng Kuo, Jonas W Mueller, Tristan Thrush, Joaquin Vanschoren, Margaret Warren, Adina Williams, Serena Yeung, Newsha Ardalani, Praveen Paritosh, Ce Zhang, James Y Zou, Carole-Jean Wu, Cody Coleman, Andrew Y. Ng, Peter Mattson, Vijay Janapa Reddi

NeurIPS 2023 Factorized Contrastive Learning: Going Beyond Multi-View Redundancy Paul Pu Liang, Zihao Deng, Martin Q. Ma, James Y Zou, Louis-Philippe Morency, Ruslan Salakhutdinov

NeurIPS 2023 OpenDataVal: A Unified Benchmark for Data Valuation Kevin Jiang, Weixin Liang, James Y Zou, Yongchan Kwon

NeurIPS 2023 TWIGMA: A Dataset of AI-Generated Images with Metadata from Twitter Yiqun Chen, James Y Zou

NeurIPS 2022 C-Mixup: Improving Generalization in Regression Huaxiu Yao, Yiping Wang, Linjun Zhang, James Y Zou, Chelsea Finn

NeurIPS 2022 Estimating and Explaining Model Performance When Both Covariates and Labels Shift Lingjiao Chen, Matei Zaharia, James Y Zou

NeurIPS 2022 HAPI: A Large-Scale Longitudinal Dataset of Commercial ML API Predictions Lingjiao Chen, Zhihua Jin, Evan Sabri Eyuboglu, Christopher Ré, Matei Zaharia, James Y Zou

NeurIPSW 2022 Is Unsupervised Performance Estimation Impossible When Both Covariates and Labels Shift? Lingjiao Chen, Matei Zaharia, James Y. Zou

ICMLW 2022 MetaShift: A Dataset of Datasets for Evaluating Contextual Distribution Shifts Weixin Liang, Xinyu Yang, James Y. Zou

NeurIPS 2022 Mind the Gap: Understanding the Modality Gap in Multi-Modal Contrastive Representation Learning Victor Weixin Liang, Yuhui Zhang, Yongchan Kwon, Serena Yeung, James Y Zou

NeurIPS 2022 SkinCon: A Skin Disease Dataset Densely Annotated by Domain Experts for Fine-Grained Debugging and Analysis Roxana Daneshjou, Mert Yuksekgonul, Zhuo Ran Cai, Roberto Novoa, James Y Zou

NeurIPS 2022 Uncalibrated Models Can Improve Human-AI Collaboration Kailas Vodrahalli, Tobias Gerstenberg, James Y Zou

NeurIPS 2022 WeightedSHAP: Analyzing and Improving Shapley Based Feature Attributions Yongchan Kwon, James Y Zou

NeurIPS 2021 Adversarial Training Helps Transfer Learning via Better Representations Zhun Deng, Linjun Zhang, Kailas Vodrahalli, Kenji Kawaguchi, James Y Zou

NeurIPS 2020 FrugalML: How to Use ML Prediction APIs More Accurately and Cheaply Lingjiao Chen, Matei Zaharia, James Y Zou

NeurIPS 2020 MOPO: Model-Based Offline Policy Optimization Tianhe Yu, Garrett Thomas, Lantao Yu, Stefano Ermon, James Y Zou, Sergey Levine, Chelsea Finn, Tengyu Ma

NeurIPS 2020 Neuron Shapley: Discovering the Responsible Neurons Amirata Ghorbani, James Y Zou

AAAI 2019 Interpretation of Neural Networks Is Fragile Amirata Ghorbani, Abubakar Abid, James Y. Zou

NeurIPS 2019 Making AI Forget You: Data Deletion in Machine Learning Antonio Ginart, Melody Guan, Gregory Valiant, James Y Zou

NeurIPS 2019 Towards Automatic Concept-Based Explanations Amirata Ghorbani, James Wexler, James Y Zou, Been Kim

NeurIPS 2018 Learning a Warping Distance from Unlabeled Time Series Using Sequence Autoencoders Abubakar Abid, James Y Zou

NeurIPS 2017 NeuralFDR: Learning Discovery Thresholds from Hypothesis Features Fei Xia, Martin J Zhang, James Y Zou, David Tse

NeurIPS 2016 Man Is to Computer Programmer as Woman Is to Homemaker? Debiasing Word Embeddings Tolga Bolukbasi, Kai-Wei Chang, James Y Zou, Venkatesh Saligrama, Adam T Kalai

NeurIPS 2013 Contrastive Learning Using Spectral Methods James Y Zou, Daniel J. Hsu, David C. Parkes, Ryan P. Adams

AAAI 2012 Threats and Trade-Offs in Resource Critical Crowdsourcing Tasks over Networks Swaprava Nath, Pankaj Dayama, Dinesh Garg, Y. Narahari, James Y. Zou

AAAI 2010 Tolerable Manipulability in Dynamic Assignment Without Money James Y. Zou, Sujit Gujar, David C. Parkes