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Ethan Caballero

Broken Neural Scaling Laws

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Nov 10, 2022
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Scaling Laws for the Few-Shot Adaptation of Pre-trained Image Classifiers

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Oct 18, 2021
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Invariance Principle Meets Information Bottleneck for Out-of-Distribution Generalization

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Jun 11, 2021
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In Search of Robust Measures of Generalization

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Oct 22, 2020
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Out-of-Distribution Generalization via Risk Extrapolation (REx)

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Mar 13, 2020
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Skip-Thought Memory Networks

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Nov 24, 2015
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