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David Lopez-Paz

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Unified Uncertainty Calibration

Oct 02, 2023
Kamalika Chaudhuri, David Lopez-Paz

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Discovering environments with XRM

Sep 28, 2023
Mohammad Pezeshki, Diane Bouchacourt, Mark Ibrahim, Nicolas Ballas, Pascal Vincent, David Lopez-Paz

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Context is Environment

Sep 20, 2023
Sharut Gupta, Stefanie Jegelka, David Lopez-Paz, Kartik Ahuja

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A Closer Look at In-Context Learning under Distribution Shifts

May 26, 2023
Kartik Ahuja, David Lopez-Paz

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Recycling diverse models for out-of-distribution generalization

Dec 20, 2022
Alexandre Ramé, Kartik Ahuja, Jianyu Zhang, Matthieu Cord, Léon Bottou, David Lopez-Paz

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ImageNet-X: Understanding Model Mistakes with Factor of Variation Annotations

Nov 03, 2022
Badr Youbi Idrissi, Diane Bouchacourt, Randall Balestriero, Ivan Evtimov, Caner Hazirbas, Nicolas Ballas, Pascal Vincent, Michal Drozdzal, David Lopez-Paz, Mark Ibrahim

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Measuring and signing fairness as performance under multiple stakeholder distributions

Jul 20, 2022
David Lopez-Paz, Diane Bouchacourt, Levent Sagun, Nicolas Usunier

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Throwing Away Data Improves Worst-Class Error in Imbalanced Classification

May 23, 2022
Martin Arjovsky, Kamalika Chaudhuri, David Lopez-Paz

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Rich Feature Construction for the Optimization-Generalization Dilemma

Mar 24, 2022
Jianyu Zhang, David Lopez-Paz, Léon Bottou

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Simple data balancing achieves competitive worst-group-accuracy

Oct 27, 2021
Badr Youbi Idrissi, Martin Arjovsky, Mohammad Pezeshki, David Lopez-Paz

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