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10/26/2022
Broken Neural Scaling Laws
We present a smoothly broken power law functional form that accurately m...
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10/13/2021
Scaling Laws for the Few-Shot Adaptation of Pre-trained Image Classifiers
Empirical science of neural scaling laws is a rapidly growing area of si...
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06/11/2021
Invariance Principle Meets Information Bottleneck for Out-of-Distribution Generalization
The invariance principle from causality is at the heart of notable appro...
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10/22/2020
In Search of Robust Measures of Generalization
One of the principal scientific challenges in deep learning is explainin...
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03/02/2020
Out-of-Distribution Generalization via Risk Extrapolation (REx)
Generalizing outside of the training distribution is an open challenge f...
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11/19/2015
