James Zou

This page is a disambiguation page, it actually contains mutiple papers from persons of the same or a similar name.

Known people with the same name:

Bibliography

2024

Author Correction: Bridging the literacy gap for surgical consents: an AI-human expert collaborative approach.

[BibT_eX]

[DOI]

npj Digit. Medicine, 2024

Bridging the literacy gap for surgical consents: an AI-human expert collaborative approach.

[BibT_eX]

[DOI]

npj Digit. Medicine, 2024

Simple linear attention language models balance the recall-throughput tradeoff.

[BibT_eX]

[DOI]

CoRR, 2024

Prospector Heads: Generalized Feature Attribution for Large Models & Data.

[BibT_eX]

[DOI]

CoRR, 2024

Selecting Large Language Model to Fine-tune via Rectified Scaling Law.

[BibT_eX]

[DOI]

CoRR, 2024

The complementary contributions of academia and industry to AI research.

[BibT_eX]

[DOI]

CoRR, 2024

2023

Zoology: Measuring and Improving Recall in Efficient Language Models.

[BibT_eX]

[DOI]

CoRR, 2023

New Evaluation Metrics Capture Quality Degradation due to LLM Watermarking.

[BibT_eX]

[DOI]

Karanpartap Singh

James Zou

CoRR, 2023

In-context Vectors: Making In Context Learning More Effective and Controllable Through Latent Space Steering.

[BibT_eX]

[DOI]

Sheng Liu

Lei Xing

James Zou

CoRR, 2023

TWIGMA: A dataset of AI-Generated Images with Metadata From Twitter.

[BibT_eX]

[DOI]

Yiqun Chen

James Zou

CoRR, 2023

Factorized Contrastive Learning: Going Beyond Multi-view Redundancy.

[BibT_eX]

[DOI]

Louis-Philippe Morency

Ruslan Salakhutdinov

CoRR, 2023

Understanding and Predicting the Effect of Environmental Factors on People with Type 2 Diabetes.

[BibT_eX]

[DOI]

Proceedings of the Conference on Health, Inference, and Learning, 2023

2022

Improving genetic risk prediction across diverse population by disentangling ancestry representations.

[BibT_eX]

[DOI]

CoRR, 2022

Ensembling improves stability and power of feature selection for deep learning models.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning in Computational Biology, 21-22 November 2022, Online, 2022

2021

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

[BibT_eX]

[DOI]

CoRR, 2021

2020

Explaining the Trump Gap in Social Distancing Using COVID Discourse.

[BibT_eX]

[DOI]

Austin Van Loon

Sheridan Stewart

Brandon Waldon

Shrinidhi K. Lakshmikanth

Ishan Shah

Sharath Chandra Guntuku

Garrick Sherman

James Zou

Johannes C. Eichstaedt

Proceedings of the 1st Workshop on NLP for COVID-19@ EMNLP 2020, Online, December 2020, 2020

2019

A Knowledge Graph-based Approach for Exploring the U.S. Opioid Epidemic.

[BibT_eX]

[DOI]

CoRR, 2019

2018

Minimizing Close-k Aggregate Loss Improves Classification.

[BibT_eX]

[DOI]

Bryan He

James Zou

CoRR, 2018

CoVeR: Learning Covariate-Specific Vector Representations with Tensor Decompositions.

[BibT_eX]

[DOI]

Kevin Tian

Teng Zhang

James Zou

Proceedings of the 35th International Conference on Machine Learning, 2018

2017

Learning Latent Space Models with Angular Constraints.

[BibT_eX]

[DOI]

Proceedings of the 34th International Conference on Machine Learning, 2017

Quantifying the accuracy of approximate diffusions and Markov chains.

[BibT_eX]

[DOI]

Jonathan Huggins

James Zou

Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017

2016

Signal to noise in matching markets.

[BibT_eX]

[DOI]

S. Matthew Weinberg

James Zou

CoRR, 2016

Controlling Bias in Adaptive Data Analysis Using Information Theory.

[BibT_eX]

[DOI]

Daniel Russo

James Zou

Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, 2016

James Zou

Known people with the same name:

Bibliography

Loading...