James Zou

ORCID

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 157

Top Venues

Publications

Lingjiao Chen, Jared Quincy Davis, Boris Hanin, Peter Bailis, Ion Stoica, Matei Zaharia, James Zou
Are More LLM Calls All You Need? Towards Scaling Laws of Compound Inference Systems. CoRR (2024)
Zachary Izzo, Jinsung Yoon, Sercan Ö. Arik, James Zou
Provable Membership Inference Privacy. Trans. Mach. Learn. Res. 2024 (2024)
Simran Arora, Sabri Eyuboglu, Michael Zhang, Aman Timalsina, Silas Alberti, Dylan Zinsley, James Zou, Atri Rudra, Christopher Ré
Simple linear attention language models balance the recall-throughput tradeoff. CoRR (2024)
Kevin Wu, Eric Wu, Kit T. Rodolfa, Daniel E. Ho, James Zou
Regulating AI Adaptation: An Analysis of AI Medical Device Updates. CoRR (2024)
Kevin Wu, Eric Wu, Ally Cassasola, Angela Zhang, Kevin Wei, Teresa Nguyen, Sith Riantawan, Patricia Shi Riantawan, Daniel E. Ho, James Zou
How well do LLMs cite relevant medical references? An evaluation framework and analyses. CoRR (2024)
Xinyu Yang, Weixin Liang, James Zou
Navigating Dataset Documentations in AI: A Large-Scale Analysis of Dataset Cards on Hugging Face. CoRR (2024)
Jiachen T. Wang, Tianji Yang, James Zou, Yongchan Kwon, Ruoxi Jia
Rethinking Data Shapley for Data Selection Tasks: Misleads and Merits. CoRR (2024)
Federico Bianchi, Patrick John Chia, Mert Yüksekgönül, Jacopo Tagliabue, Dan Jurafsky, James Zou
How Well Can LLMs Negotiate? NegotiationArena Platform and Analysis. CoRR (2024)
Xinyu Yang, Weixin Liang, James Zou
Navigating Dataset Documentations in AI: A Large-Scale Analysis of Dataset Cards on HuggingFace. ICLR (2024)
Sabri Eyuboglu, Karan Goel, Arjun D. Desai, Lingjiao Chen, Mathew Monfort, Christopher Ré, James Zou
Model ChangeLists: Characterizing Updates to ML Models. FAccT (2024)
Mert Yüksekgönül, Federico Bianchi, Joseph Boen, Sheng Liu, Zhi Huang, Carlos Guestrin, James Zou
TextGrad: Automatic "Differentiation" via Text. CoRR (2024)
Federico Bianchi, James Zou
Large Language Models are Vulnerable to Bait-and-Switch Attacks for Generating Harmful Content. CoRR (2024)
Shirley Wu, Shiyu Zhao, Qian Huang, Kexin Huang, Michihiro Yasunaga, Kaidi Cao, Vassilis N. Ioannidis, Karthik Subbian, Jure Leskovec, James Zou
AvaTaR: Optimizing LLM Agents for Tool-Assisted Knowledge Retrieval. CoRR (2024)
Lichao Sun, Yue Huang, Haoran Wang, Siyuan Wu, Qihui Zhang, Chujie Gao, Yixin Huang, Wenhan Lyu, Yixuan Zhang, Xiner Li, Zhengliang Liu, Yixin Liu, Yijue Wang, Zhikun Zhang, Bhavya Kailkhura, Caiming Xiong, Chao Zhang, Chaowei Xiao, Chunyuan Li, Eric P. Xing, Furong Huang, Hao Liu, Heng Ji, Hongyi Wang, Huan Zhang, Huaxiu Yao, Manolis Kellis, Marinka Zitnik, Meng Jiang, Mohit Bansal, James Zou, Jian Pei, Jian Liu, Jianfeng Gao, Jiawei Han, Jieyu Zhao, Jiliang Tang, Jindong Wang, John Mitchell, Kai Shu, Kaidi Xu, Kai-Wei Chang, Lifang He, Lifu Huang, Michael Backes, Neil Zhenqiang Gong, Philip S. Yu, Pin-Yu Chen, Quanquan Gu, Ran Xu, Rex Ying, Shuiwang Ji, Suman Jana, Tianlong Chen, Tianming Liu, Tianyi Zhou, William Wang, Xiang Li, Xiangliang Zhang, Xiao Wang, Xing Xie, Xun Chen, Xuyu Wang, Yan Liu, Yanfang Ye, Yinzhi Cao, Yue Zhao
TrustLLM: Trustworthiness in Large Language Models. CoRR (2024)
Ian Covert, Chanwoo Kim, Su-In Lee, James Zou, Tatsunori Hashimoto
Stochastic Amortization: A Unified Approach to Accelerate Feature and Data Attribution. CoRR (2024)
Shuran Zheng, Yongchan Kwon, Xuan Qi, James Zou
Truthful Dataset Valuation by Pointwise Mutual Information. CoRR (2024)
Shirley Wu, Shiyu Zhao, Michihiro Yasunaga, Kexin Huang, Kaidi Cao, Qian Huang, Vassilis N. Ioannidis, Karthik Subbian, James Zou, Jure Leskovec
STaRK: Benchmarking LLM Retrieval on Textual and Relational Knowledge Bases. CoRR (2024)
Simran Arora, Sabri Eyuboglu, Aman Timalsina, Isys Johnson, Michael Poli, James Zou, Atri Rudra, Christopher Ré
Zoology: Measuring and Improving Recall in Efficient Language Models. ICLR (2024)
Yuan Li, Yue Huang, Hongyi Wang, Xiangliang Zhang, James Zou, Lichao Sun
Quantifying AI Psychology: A Psychometrics Benchmark for Large Language Models. CoRR (2024)
Kyle Swanson, Gary Liu, Denise B. Catacutan, Autumn Arnold, James Zou, Jonathan M. Stokes
Generative AI for designing and validating easily synthesizable and structurally novel antibiotics. Nat. Mac. Intell. 6 (3) (2024)
Federico Bianchi, Mirac Suzgun, Giuseppe Attanasio, Paul Röttger, Dan Jurafsky, Tatsunori Hashimoto, James Zou
Safety-Tuned LLaMAs: Lessons From Improving the Safety of Large Language Models that Follow Instructions. ICLR (2024)
Yongchan Kwon, Eric Wu, Kevin Wu, James Zou
DataInf: Efficiently Estimating Data Influence in LoRA-tuned LLMs and Diffusion Models. ICLR (2024)
Ian Covert, Wenlong Ji, Tatsunori Hashimoto, James Zou
Scaling Laws for the Value of Individual Data Points in Machine Learning. CoRR (2024)
Kevin Wu, Eric Wu, James Zou
How faithful are RAG models? Quantifying the tug-of-war between RAG and LLMs' internal prior. CoRR (2024)
Peng Xia, Ze Chen, Juanxi Tian, Yangrui Gong, Ruibo Hou, Yue Xu, Zhenbang Wu, Zhiyuan Fan, Yiyang Zhou, Kangyu Zhu, Wenhao Zheng, Zhaoyang Wang, Xiao Wang, Xuchao Zhang, Chetan Bansal, Marc Niethammer, Junzhou Huang, Hongtu Zhu, Yun Li, Jimeng Sun, Zongyuan Ge, Gang Li, James Zou, Huaxiu Yao
CARES: A Comprehensive Benchmark of Trustworthiness in Medical Vision Language Models. CoRR (2024)
Weixin Liang, Nazneen Rajani, Xinyu Yang, Ezinwanne Ozoani, Eric Wu, Yiqun Chen, Daniel Scott Smith, James Zou
What's documented in AI? Systematic Analysis of 32K AI Model Cards. CoRR (2024)
Lingjiao Chen, Bilge Acun, Newsha Ardalani, Yifan Sun, Feiyang Kang, Hanrui Lyu, Yongchan Kwon, Ruoxi Jia, Carole-Jean Wu, Matei Zaharia, James Zou
Data Acquisition: A New Frontier in Data-centric AI. CoRR (2023)
Weixin Liang, Yining Mao, Yongchan Kwon, Xinyu Yang, James Zou
On the nonlinear correlation of ML performance between data subpopulations. CoRR (2023)
Mert Yüksekgönül, Maggie Wang, James Zou
Post-hoc Concept Bottleneck Models. ICLR (2023)
Jiachen Zhao, Zhun Deng, David Madras, James Zou, Mengye Ren
Learning and Forgetting Unsafe Examples in Large Language Models. CoRR (2023)
Puheng Li, James Zou, Linjun Zhang
FaiREE: fair classification with finite-sample and distribution-free guarantee. ICLR (2023)
Shirley Wu, Mert Yüksekgönül, Linjun Zhang, James Zou
Discover and Cure: Concept-aware Mitigation of Spurious Correlation. CoRR (2023)
Eric D. Sun, Rong Ma, James Zou
Dynamic visualization of high-dimensional data. Nat. Comput. Sci. 3 (1) (2023)
Girmaw Abebe Tadesse, Celia Cintas, Kush R. Varshney, Peter W. J. Staar, Chinyere Agunwa, Skyler Speakman, Justin Jia, Elizabeth E. Bailey, Ademide Adelekun, Jules Lipoff, Ginikanwa Onyekaba, Jenna C. Lester, Veronica Rotemberg, James Zou, Roxana Daneshjou
Skin Tone Analysis for Representation in Educational Materials (STAR-ED) using machine learning. npj Digit. Medicine 6 (2023)
Yuzhen Mao, Zhun Deng, Huaxiu Yao, Ting Ye, Kenji Kawaguchi, James Zou
Last-Layer Fairness Fine-tuning is Simple and Effective for Neural Networks. CoRR (2023)
Mert Yüksekgönül, Federico Bianchi, Pratyusha Kalluri, Dan Jurafsky, James Zou
When and Why Vision-Language Models Behave like Bags-Of-Words, and What to Do About It? ICLR (2023)
Haotian Ye, James Zou, Linjun Zhang
Freeze then Train: Towards Provable Representation Learning under Spurious Correlations and Feature Noise. AISTATS (2023)
Kailas Vodrahalli, James Zou
ArtWhisperer: A Dataset for Characterizing Human-AI Interactions in Artistic Creations. CoRR (2023)
Ryumei Nakada, Halil Ibrahim Gulluk, Zhun Deng, Wenlong Ji, James Zou, Linjun Zhang
Understanding Multimodal Contrastive Learning and Incorporating Unpaired Data. AISTATS (2023)
Yongchan Kwon, Eric Wu, Kevin Wu, James Zou
DataInf: Efficiently Estimating Data Influence in LoRA-tuned LLMs and Diffusion Models. CoRR (2023)
Kevin Fu Jiang, Weixin Liang, James Zou, Yongchan Kwon
OpenDataVal: a Unified Benchmark for Data Valuation. CoRR (2023)
Xinming Tu, James Zou, Weijie J. Su, Linjun Zhang
What Should Data Science Education Do with Large Language Models? CoRR (2023)
Angela Zhang, Mert Yüksekgönül, Joshua Guild, James Zou, Joseph C. Wu
ChatGPT Exhibits Gender and Racial Biases in Acute Coronary Syndrome Management. CoRR (2023)
Yuhui Zhang, Michihiro Yasunaga, Zhengping Zhou, Jeff Z. HaoChen, James Zou, Percy Liang, Serena Yeung
Beyond Positive Scaling: How Negation Impacts Scaling Trends of Language Models. CoRR (2023)
Jesutofunmi A. Omiye, Haiwen Gui, Shawheen J. Rezaei, James Zou, Roxana Daneshjou
Large language models in medicine: the potentials and pitfalls. CoRR (2023)
Kevin E. Wu, Kathryn Yost, Bence Daniel, Julia A. Belk, Yu Xia, Takeshi Egawa, Ansuman Satpathy, Howard Chang, James Zou
TCR-BERT: learning the grammar of T-cell receptors for flexible antigen-binding analyses. MLCB (2023)
Yongchan Kwon, James Zou
Data-OOB: Out-of-bag Estimate as a Simple and Efficient Data Value. ICML (2023)
Federico Bianchi, Pratyusha Kalluri, Esin Durmus, Faisal Ladhak, Myra Cheng, Debora Nozza, Tatsunori Hashimoto, Dan Jurafsky, James Zou, Aylin Caliskan
Easily Accessible Text-to-Image Generation Amplifies Demographic Stereotypes at Large Scale. FAccT (2023)
Lingjiao Chen, Matei Zaharia, James Zou
How is ChatGPT's behavior changing over time? CoRR (2023)
Lingjiao Chen, Matei Zaharia, James Zou
FrugalGPT: How to Use Large Language Models While Reducing Cost and Improving Performance. CoRR (2023)
Andre Esteva, Jean Feng, Douwe van der Wal, Shih-Cheng Huang, Jeffry P. Simko, Sandy Devries, Emmalyn Chen, Edward M. Schaeffer, Todd M. Morgan, Yilun Sun, Amirata Ghorbani, Nikhil Naik, Dhruv Nathawani, Richard Socher, Jeff M. Michalski, Mack Roach, Thomas M. Pisansky, Jedidiah M. Monson, Farah Naz, James Wallace, Michelle J. Ferguson, Jean-Paul Bahary, James Zou, Matthew P. Lungren, Serena Yeung, Ashley E. Ross, Michael J. Kucharczyk, Luis Souhami, Leslie Ballas, Christopher A. Peters, Sandy Liu, Alexander G. Balogh, Pamela D. Randolph-Jackson, David L. Schwartz, Michael R. Girvigian, Naoyuki G. Saito, Adam Raben, Rachel A. Rabinovitch, Khalil Katato, Howard M. Sandler, Phuoc T. Tran, Daniel E. Spratt, Stephanie Pugh, Felix Y. Feng, Osama Mohamad
Author Correction: Prostate cancer therapy personalization via multi-modal deep learning on randomized phase III clinical trials. npj Digit. Medicine 6 (2023)
Zhun Deng, Jiayao Zhang, Linjun Zhang, Ting Ye, Yates Coley, Weijie J. Su, James Zou
FIFA: Making Fairness More Generalizable in Classifiers Trained on Imbalanced Data. ICLR (2023)
Yuhui Zhang, Jeff Z. HaoChen, Shih-Cheng Huang, Kuan-Chieh Wang, James Zou, Serena Yeung
Diagnosing and Rectifying Vision Models using Language. CoRR (2023)
Ryumei Nakada, Halil Ibrahim Gulluk, Zhun Deng, Wenlong Ji, James Zou, Linjun Zhang
Understanding Multimodal Contrastive Learning and Incorporating Unpaired Data. CoRR (2023)
Shirley Wu, Mert Yüksekgönül, Linjun Zhang, James Zou
Discover and Cure: Concept-aware Mitigation of Spurious Correlation. ICML (2023)
Weixin Liang, Mert Yüksekgönül, Yining Mao, Eric Wu, James Zou
GPT detectors are biased against non-native English writers. CoRR (2023)
Kevin Wu, Dominik Dahlem, Christopher Hane, Eran Halperin, James Zou
Collecting data when missingness is unknown: a method for improving model performance given under-reporting in patient populations. CHIL (2023)
Yuhui Zhang, Michihiro Yasunaga, Zhengping Zhou, Jeff Z. HaoChen, James Zou, Percy Liang, Serena Yeung
Beyond Positive Scaling: How Negation Impacts Scaling Trends of Language Models. ACL (Findings) (2023)
Mert Yüksekgönül, Linjun Zhang, James Zou, Carlos Guestrin
Beyond Confidence: Reliable Models Should Also Consider Atypicality. CoRR (2023)
Chenhang Cui, Yiyang Zhou, Xinyu Yang, Shirley Wu, Linjun Zhang, James Zou, Huaxiu Yao
Holistic Analysis of Hallucination in GPT-4V(ision): Bias and Interference Challenges. CoRR (2023)
Yuhui Zhang, Jeff Z. HaoChen, Shih-Cheng Huang, Kuan-Chieh Wang, James Zou, Serena Yeung
Diagnosing and Rectifying Vision Models using Language. ICLR (2023)
Weixin Liang, Yining Mao, Yongchan Kwon, Xinyu Yang, James Zou
Accuracy on the Curve: On the Nonlinear Correlation of ML Performance Between Data Subpopulations. ICML (2023)
Weixin Liang, Mert Yüksekgönül, Yining Mao, Eric Wu, James Zou
GPT detectors are biased against non-native English writers. Patterns 4 (7) (2023)
Weixin Liang, Yuhui Zhang, Hancheng Cao, Binglu Wang, Daisy Ding, Xinyu Yang, Kailas Vodrahalli, Siyu He, Daniel Smith, Yian Yin, Daniel A. McFarland, James Zou
Can large language models provide useful feedback on research papers? A large-scale empirical analysis. CoRR (2023)
Roxana Daneshjou, Mert Yüksekgönül, Zhuo Ran Cai, Roberto A. Novoa, James Zou
SkinCon: A skin disease dataset densely annotated by domain experts for fine-grained model debugging and analysis. CoRR (2023)
Jennifer Yu, Zhenqin Wu, Aaron T. Mayer, Alexandro Trevino, James Zou
A Multi-Granularity Approach to Similarity Search in Multiplexed Immunofluorescence Images. MLCB (2023)
Luis Oala, Manil Maskey, Lilith Bat-Leah, Alicia Parrish, Nezihe Merve Gürel, Tzu-Sheng Kuo, Yang Liu, Rotem Dror, Danilo Brajovic, Xiaozhe Yao, Max Bartolo, William Gaviria Rojas, Ryan Hileman, Rainier Aliment, Michael W. Mahoney, Meg Risdal, Matthew Lease, Wojciech Samek, Debojyoti Dutta, Curtis G. Northcutt, Cody Coleman, Braden Hancock, Bernard Koch, Girmaw Abebe Tadesse, Bojan Karlas, Ahmed Alaa, Adji Bousso Dieng, Natasha F. Noy, Vijay Janapa Reddi, James Zou, Praveen K. Paritosh, Mihaela van der Schaar, Kurt D. Bollacker, Lora Aroyo, Ce Zhang, Joaquin Vanschoren, Isabelle Guyon, Peter Mattson
DMLR: Data-centric Machine Learning Research - Past, Present and Future. CoRR (2023)
Federico Bianchi, Mirac Suzgun, Giuseppe Attanasio, Paul Röttger, Dan Jurafsky, Tatsunori Hashimoto, James Zou
Safety-Tuned LLaMAs: Lessons From Improving the Safety of Large Language Models that Follow Instructions. CoRR (2023)
Lingjiao Chen, Zhihua Jin, Sabri Eyuboglu, Huamin Qu, Christopher Ré, Matei Zaharia, James Zou
HAPI Explorer: Comprehension, Discovery, and Explanation on History of ML APIs. AAAI (2023)
Zachary Izzo, Ruishan Liu, James Zou
Data-Driven Subgroup Identification for Linear Regression. ICML (2023)
Zachary Izzo, Ruishan Liu, James Zou
Data-Driven Subgroup Identification for Linear Regression. CoRR (2023)
Yongchan Kwon, James Zou
Data-OOB: Out-of-bag Estimate as a Simple and Efficient Data Value. CoRR (2023)
Shirley Wu, Kaidi Cao, Bruno Ribeiro, James Zou, Jure Leskovec
GraphMETRO: Mitigating Complex Distribution Shifts in GNNs via Mixture of Aligned Experts. CoRR (2023)
J. Weston Hughes, James E. Tooley, Jessica Torres Soto, Anna Ostropolets, Tim Poterucha, Matthew Christensen, Neal Yuan, Ben Ehlert, Dhamanpreet Kaur, Guson Kang, Albert J. Rogers, Sanjiv M. Narayan, Pierre Elias, David Ouyang, Euan A. Ashley, James Zou, Marco V. Perez
A deep learning-based electrocardiogram risk score for long term cardiovascular death and disease. npj Digit. Medicine 6 (2023)
Lingjiao Chen, Matei Zaharia, James Zou
Estimating and Explaining Model Performance When Both Covariates and Labels Shift. CoRR (2022)
Zhenbang Wu, Huaxiu Yao, Zhe Su, David M. Liebovitz, Lucas M. Glass, James Zou, Chelsea Finn, Jimeng Sun
Knowledge-Driven New Drug Recommendation. CoRR (2022)
Zhiying Zhu, Weixin Liang, James Zou
GSCLIP : A Framework for Explaining Distribution Shifts in Natural Language. CoRR (2022)
Kailas Vodrahalli, Justin Ko, Albert S. Chiou, Roberto A. Novoa, Abubakar Abid, Michelle Phung, Kiana Yekrang, Paige Petrone, James Zou, Roxana Daneshjou
Development and Clinical Evaluation of an AI Support Tool for Improving Telemedicine Photo Quality. CoRR (2022)
Kailas Vodrahalli, Roxana Daneshjou, Tobias Gerstenberg, James Zou
Do Humans Trust Advice More if it Comes from AI?: An Analysis of Human-AI Interactions. AIES (2022)
Yongchan Kwon, James Zou
Beta Shapley: a Unified and Noise-reduced Data Valuation Framework for Machine Learning. AISTATS (2022)
Haotian Ye, James Zou, Linjun Zhang
Freeze then Train: Towards Provable Representation Learning under Spurious Correlations and Feature Noise. CoRR (2022)
Mert Yüksekgönül, Federico Bianchi, Pratyusha Kalluri, Dan Jurafsky, James Zou
When and why vision-language models behave like bags-of-words, and what to do about it? CoRR (2022)
Huaxiu Yao, Yu Wang, Sai Li, Linjun Zhang, Weixin Liang, James Zou, Chelsea Finn
Improving Out-of-Distribution Robustness via Selective Augmentation. CoRR (2022)
Huaxiu Yao, Yu Wang, Sai Li, Linjun Zhang, Weixin Liang, James Zou, Chelsea Finn
Improving Out-of-Distribution Robustness via Selective Augmentation. ICML (2022)
Tony Ginart, Martin Jinye Zhang, James Zou
MLDemon: Deployment Monitoring for Machine Learning Systems. AISTATS (2022)
Zhun Deng, Jiayao Zhang, Linjun Zhang, Ting Ye, Yates Coley, Weijie J. Su, James Zou
FIFA: Making Fairness More Generalizable in Classifiers Trained on Imbalanced Data. CoRR (2022)
Ruishan Liu, James Zou
Data Sculpting: Interpretable Algorithm for End-to-End Cohort Selection. IEEECONF (2022)
Federico Bianchi, Pratyusha Kalluri, Esin Durmus, Faisal Ladhak, Myra Cheng, Debora Nozza, Tatsunori Hashimoto, Dan Jurafsky, James Zou, Aylin Caliskan
Easily Accessible Text-to-Image Generation Amplifies Demographic Stereotypes at Large Scale. CoRR (2022)
Weixin Liang, Scott Elrod, Daniel A. McFarland, James Zou
Systematic analysis of 50 years of Stanford University technology transfer and commercialization. Patterns 3 (9) (2022)
Weixin Liang, Girmaw Abebe Tadesse, Daniel Ho, Li Fei-Fei, Matei Zaharia, Ce Zhang, James Zou
Advances, challenges and opportunities in creating data for trustworthy AI. Nat. Mach. Intell. 4 (8) (2022)
Andre Esteva, Jean Feng, Douwe van der Wal, Shih-Cheng Huang, Jeffry P. Simko, Sandy Devries, Emmalyn Chen, Edward M. Schaeffer, Todd M. Morgan, Yilun Sun, Amirata Ghorbani, Nikhil Naik, Dhruv Nathawani, Richard Socher, Jeff M. Michalski, Mack Roach, Thomas M. Pisansky, Jedidiah M. Monson, Farah Naz, James Wallace, Michelle J. Ferguson, Jean-Paul Bahary, James Zou, Matthew P. Lungren, Serena Yeung, Ashley E. Ross, Michael J. Kucharczyk, Luis Souhami, Leslie Ballas, Christopher A. Peters, Sandy Liu, Alexander G. Balogh, Pamela D. Randolph-Jackson, David L. Schwartz, Michael R. Girvigian, Naoyuki G. Saito, Adam Raben, Rachel A. Rabinovitch, Khalil Katato, Howard M. Sandler, Phuoc T. Tran, Daniel E. Spratt, Stephanie Pugh, Felix Y. Feng, Osama Mohamad
Prostate cancer therapy personalization via multi-modal deep learning on randomized phase III clinical trials. npj Digit. Medicine 5 (2022)
Yongchan Kwon, James Zou
WeightedSHAP: analyzing and improving Shapley based feature attributions. CoRR (2022)
Kyle Swanson, Howard Chang, James Zou
Predicting Immune Escape with Pretrained Protein Language Model Embeddings. MLCB (2022)
Kailas Vodrahalli, Tobias Gerstenberg, James Zou
Uncalibrated Models Can Improve Human-AI Collaboration. CoRR (2022)
Linjun Zhang, Zhun Deng, Kenji Kawaguchi, James Zou
When and How Mixup Improves Calibration. ICML (2022)
Puheng Li, James Zou, Linjun Zhang
FaiREE: Fair Classification with Finite-Sample and Distribution-Free Guarantee. CoRR (2022)
Sabri Eyuboglu, Maya Varma, Khaled Saab, Jean-Benoit Delbrouck, Christopher Lee-Messer, Jared Dunnmon, James Zou, Christopher Ré
Domino: Discovering Systematic Errors with Cross-Modal Embeddings. CoRR (2022)
Weixin Liang, Girmaw Abebe Tadesse, Daniel E. Ho, Li Fei-Fei, Matei Zaharia, Ce Zhang, James Zou
Author Correction: Advances, challenges and opportunities in creating data for trustworthy AI. Nat. Mac. Intell. 4 (10) (2022)
Mark Mazumder, Colby R. Banbury, Xiaozhe Yao, Bojan Karlas, William Gaviria Rojas, Sudnya Frederick Diamos, Greg Diamos, Lynn He, Douwe Kiela, David Jurado, David Kanter, Rafael Mosquera, Juan Ciro, Lora Aroyo, Bilge Acun, Sabri Eyuboglu, Amirata Ghorbani, Emmett D. Goodman, Tariq Kane, Christine R. Kirkpatrick, Tzu-Sheng Kuo, Jonas Mueller, Tristan Thrush, Joaquin Vanschoren, Margaret Warren, Adina Williams, Serena Yeung, Newsha Ardalani, Praveen K. Paritosh, Ce Zhang, James Zou, Carole-Jean Wu, Cody Coleman, Andrew Y. Ng, Peter Mattson, Vijay Janapa Reddi
DataPerf: Benchmarks for Data-Centric AI Development. CoRR (2022)
Lingjiao Chen, Zhihua Jin, Sabri Eyuboglu, Christopher Ré, Matei Zaharia, James Zou
HAPI: A Large-scale Longitudinal Dataset of Commercial ML API Predictions. CoRR (2022)

James Zou.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

James Zou