James Y Zou
22 papers · 2013–2023 · 1 venue · across top CS/AI venues
This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 9 separate collaboration groups - the largest holds only 41% of them. Pick the group below that matches the researcher you mean. How a shared name is split.
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Which James Y Zou?
2 groups of papers that share co-authors internally but none with each other - each most likely a different researcher. Pick one to see its papers.
with Lingjiao Chen, Amirata Ghorbani, Matei Zaharia
9 papers
· 2019–2023
· NeurIPS
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DataPerf: Benchmarks for Data-Centric AI Development
NeurIPS 2023
OpenDataVal: a Unified Benchmark for Data Valuation
NeurIPS 2023
Estimating and Explaining Model Performance When Both Covariates and Labels Shift
NeurIPS 2022
HAPI: A Large-scale Longitudinal Dataset of Commercial ML API Predictions
NeurIPS 2022
Mind the Gap: Understanding the Modality Gap in Multi-modal Contrastive Representation Learning
NeurIPS 2022
WeightedSHAP: analyzing and improving Shapley based feature attributions
NeurIPS 2022
FrugalML: How to use ML Prediction APIs more accurately and cheaply
NeurIPS 2020
Neuron Shapley: Discovering the Responsible Neurons
NeurIPS 2020
Towards Automatic Concept-based Explanations
NeurIPS 2019
7 papers whose co-authors appear nowhere else under this name
Factorized Contrastive Learning: Going Beyond Multi-view Redundancy
NeurIPS 2023
TWIGMA: A dataset of AI-Generated Images with Metadata From Twitter
NeurIPS 2023
Making AI Forget You: Data Deletion in Machine Learning
NeurIPS 2019
Learning a Warping Distance from Unlabeled Time Series Using Sequence Autoencoders
NeurIPS 2018
NeuralFDR: Learning Discovery Thresholds from Hypothesis Features
NeurIPS 2017
Man is to Computer Programmer as Woman is to Homemaker? Debiasing Word Embeddings
NeurIPS 2016
Contrastive Learning Using Spectral Methods
NeurIPS 2013