James Zou
Orcid: 0000-0001-8880-4764Affiliations:
- Stanford University, Department of Electrical Engineering, CA, USA
- Harvard University, School of Engineering and Applied Sciences, Cambridge, MA, USA
According to our database1,
James Zou
authored at least 191 papers
between 2010 and 2024.
Collaborative distances:
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Bibliography
2024
Monitoring AI-Modified Content at Scale: A Case Study on the Impact of ChatGPT on AI Conference Peer Reviews.
CoRR, 2024
CoRR, 2024
Large Language Models are Vulnerable to Bait-and-Switch Attacks for Generating Harmful Content.
CoRR, 2024
How well do LLMs cite relevant medical references? An evaluation framework and analyses.
CoRR, 2024
Stochastic Amortization: A Unified Approach to Accelerate Feature and Data Attribution.
CoRR, 2024
Navigating Dataset Documentations in AI: A Large-Scale Analysis of Dataset Cards on Hugging Face.
CoRR, 2024
2023
A clinically applicable AI system for diagnosis of congenital heart diseases based on computed tomography images.
Medical Image Anal., December, 2023
Machine learning modeling of RNA structures: methods, challenges and future perspectives.
Briefings Bioinform., July, 2023
Skin Tone Analysis for Representation in Educational Materials (STAR-ED) using machine learning.
npj Digit. Medicine, 2023
A deep learning-based electrocardiogram risk score for long term cardiovascular death and disease.
npj Digit. Medicine, 2023
Author Correction: Prostate cancer therapy personalization via multi-modal deep learning on randomized phase III clinical trials.
npj Digit. Medicine, 2023
GraphMETRO: Mitigating Complex Distribution Shifts in GNNs via Mixture of Aligned Experts.
CoRR, 2023
CoRR, 2023
Holistic Analysis of Hallucination in GPT-4V(ision): Bias and Interference Challenges.
CoRR, 2023
Can large language models provide useful feedback on research papers? A large-scale empirical analysis.
CoRR, 2023
DataInf: Efficiently Estimating Data Influence in LoRA-tuned LLMs and Diffusion Models.
CoRR, 2023
Safety-Tuned LLaMAs: Lessons From Improving the Safety of Large Language Models that Follow Instructions.
CoRR, 2023
Is your data alignable? Principled and interpretable alignability testing and integration of single-cell data.
CoRR, 2023
ArtWhisperer: A Dataset for Characterizing Human-AI Interactions in Artistic Creations.
CoRR, 2023
FrugalGPT: How to Use Large Language Models While Reducing Cost and Improving Performance.
CoRR, 2023
CoRR, 2023
SkinCon: A skin disease dataset densely annotated by domain experts for fine-grained model debugging and analysis.
CoRR, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the International Conference on Machine Learning, 2023
Accuracy on the Curve: On the Nonlinear Correlation of ML Performance Between Data Subpopulations.
Proceedings of the International Conference on Machine Learning, 2023
Proceedings of the International Conference on Machine Learning, 2023
Proceedings of the International Conference on Machine Learning, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
When and Why Vision-Language Models Behave like Bags-Of-Words, and What to Do About It?
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Easily Accessible Text-to-Image Generation Amplifies Demographic Stereotypes at Large Scale.
Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency, 2023
Collecting data when missingness is unknown: a method for improving model performance given under-reporting in patient populations.
Proceedings of the Conference on Health, Inference, and Learning, 2023
Freeze then Train: Towards Provable Representation Learning under Spurious Correlations and Feature Noise.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
Author Correction: Advances, challenges and opportunities in creating data for trustworthy AI.
Nat. Mac. Intell., October, 2022
Trans. Mach. Learn. Res., 2022
Systematic analysis of 50 years of Stanford University technology transfer and commercialization.
Patterns, 2022
Prostate cancer therapy personalization via multi-modal deep learning on randomized phase III clinical trials.
npj Digit. Medicine, 2022
Nat. Mach. Intell., 2022
Inf., 2022
CoRR, 2022
Development and Clinical Evaluation of an AI Support Tool for Improving Telemedicine Photo Quality.
CoRR, 2022
CoRR, 2022
CoRR, 2022
CoRR, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Mind the Gap: Understanding the Modality Gap in Multi-modal Contrastive Representation Learning.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
SkinCon: A skin disease dataset densely annotated by domain experts for fine-grained debugging and analysis.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the Machine Learning in Computational Biology, 21-22 November 2022, Online, 2022
Proceedings of the International Conference on Machine Learning, 2022
Proceedings of the International Conference on Machine Learning, 2022
Proceedings of the International Conference on Machine Learning, 2022
Proceedings of the International Conference on Machine Learning, 2022
MetaShift: A Dataset of Datasets for Evaluating Contextual Distribution Shifts and Training Conflicts.
Proceedings of the Tenth International Conference on Learning Representations, 2022
Proceedings of the Tenth International Conference on Learning Representations, 2022
Proceedings of the Tenth International Conference on Learning Representations, 2022
Proceedings of the The 2022 Conference on Empirical Methods in Natural Language Processing, 2022
Proceedings of the DEEM '22: Proceedings of the Sixth Workshop on Data Management for End-To-End Machine Learning Philadelphia, 2022
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022
Beta Shapley: a Unified and Noise-reduced Data Valuation Framework for Machine Learning.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022
Do Humans Trust Advice More if it Comes from AI?: An Analysis of Human-AI Interactions.
Proceedings of the AIES '22: AAAI/ACM Conference on AI, Ethics, and Society, Oxford, United Kingdom, May 19, 2022
Proceedings of the 56th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2022, Pacific Grove, CA, USA, October 31, 2022
Proceedings of the 56th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2022, Pacific Grove, CA, USA, October 31, 2022
Proceedings of the 56th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2022, Pacific Grove, CA, USA, October 31, 2022
2021
Patient Experience Surveys Reveal Gender-Biased Descriptions of Their Care Providers.
J. Medical Syst., 2021
Explaining medical AI performance disparities across sites with confounder Shapley value analysis.
CoRR, 2021
Do Humans Trust Advice More if it Comes from AI? An Analysis of Human-AI Interactions.
CoRR, 2021
High-Throughput Precision Phenotyping of Left Ventricular Hypertrophy with Cardiovascular Deep Learning.
CoRR, 2021
CoRR, 2021
Proceedings of the Biocomputing 2021: Proceedings of the Pacific Symposium, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the IEEE International Symposium on Information Theory, 2021
Mixed Dimension Embeddings with Application to Memory-Efficient Recommendation Systems.
Proceedings of the IEEE International Symposium on Information Theory, 2021
Proceedings of the 38th International Conference on Machine Learning, 2021
Proceedings of the 38th International Conference on Machine Learning, 2021
Proceedings of the 9th International Conference on Learning Representations, 2021
Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021
Who's Responsible? Jointly Quantifying the Contribution of the Learning Algorithm and Data.
Proceedings of the AIES '21: AAAI/ACM Conference on AI, 2021
Proceedings of the AIES '21: AAAI/ACM Conference on AI, 2021
2020
IEEE Trans. Inf. Theory, 2020
Nat. Mach. Intell., 2020
Data Valuation for Medical Imaging Using Shapley Value: Application on A Large-scale Chest X-ray Dataset.
CoRR, 2020
CoRR, 2020
Proceedings of the Pacific Symposium on Biocomputing 2020, 2020
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Proceedings of the 37th International Conference on Machine Learning, 2020
Proceedings of the 8th International Conference on Learning Representations, 2020
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020
Beyond User Self-Reported Likert Scale Ratings: A Comparison Model for Automatic Dialog Evaluation.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020
2019
VetTag: improving automated veterinary diagnosis coding via large-scale language modeling.
npj Digit. Medicine, 2019
Who's responsible? Jointly quantifying the contribution of the learning algorithm and training data.
CoRR, 2019
AdaFDR: A Fast, Powerful and Covariate-Adaptive Approach to Multiple Hypothesis Testing.
Proceedings of the Research in Computational Molecular Biology, 2019
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
Analyzing Polarization in Social Media: Method and Application to Tweets on 21 Mass Shootings.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019
Proceedings of the 36th International Conference on Machine Learning, 2019
Proceedings of the 36th International Conference on Machine Learning, 2019
Proceedings of the 36th International Conference on Machine Learning, 2019
Proceedings of the 36th International Conference on Machine Learning, 2019
Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, 2019
Proceedings of the 57th Annual Allerton Conference on Communication, 2019
Improving the Stability of the Knockoff Procedure: Multiple Simultaneous Knockoffs and Entropy Maximization.
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019
Knockoffs for the Mass: New Feature Importance Statistics with False Discovery Guarantees.
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019
Proceedings of the 2019 AAAI/ACM Conference on AI, Ethics, and Society, 2019
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
2018
Proc. Natl. Acad. Sci. USA, 2018
npj Digit. Medicine, 2018
CoRR, 2018
Autowarp: Learning a Warping Distance from Unlabeled Time Series Using Sequence Autoencoders.
CoRR, 2018
DeepTag: inferring all-cause diagnoses from clinical notes in under-resourced medical domain.
CoRR, 2018
Feedback GAN (FBGAN) for DNA: a Novel Feedback-Loop Architecture for Optimizing Protein Functions.
CoRR, 2018
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018
Proceedings of the 56th Annual Allerton Conference on Communication, 2018
Proceedings of the 56th Annual Allerton Conference on Communication, 2018
Proceedings of the 56th Annual Allerton Conference on Communication, 2018
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018
2017
Proceedings of the 2nd Workshop on Representation Learning for NLP, 2017
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017
Proceedings of the 34th International Conference on Machine Learning, 2017
2016
Clustering with a Reject Option: Interactive Clustering as Bayesian Prior Elicitation.
CoRR, 2016
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016
2015
Bioinform., 2015
Proceedings of the Sixteenth ACM Conference on Economics and Computation, 2015
Proceedings of the Third AAAI Conference on Human Computation and Crowdsourcing, 2015
Proceedings of the 18th ACM Conference on Computer Supported Cooperative Work & Social Computing, 2015
2013
Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013
2012
Mechanism Design for Time Critical and Cost Critical Task Execution via Crowdsourcing.
Proceedings of the Internet and Network Economics - 8th International Workshop, 2012
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012
Proceedings of the How the World Computes, 2012
Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012
2010
Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence, 2010