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Scaling Laws for the Few-Shot Adaptation of Pre-trained Image Classifiers


Oct 18, 2021
Gabriele Prato , Simon Guiroy , Ethan Caballero , Irina Rish , Sarath Chandar


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Invariance Principle Meets Information Bottleneck for Out-of-Distribution Generalization


Jun 11, 2021
Kartik Ahuja , Ethan Caballero , Dinghuai Zhang , Yoshua Bengio , Ioannis Mitliagkas , Irina Rish


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In Search of Robust Measures of Generalization


Oct 22, 2020
Gintare Karolina Dziugaite , Alexandre Drouin , Brady Neal , Nitarshan Rajkumar , Ethan Caballero , Linbo Wang , Ioannis Mitliagkas , Daniel M. Roy

* 27 pages, 11 figures, 34th Conference on Neural Information Processing Systems (NeurIPS 2020), Vancouver, Canada 

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Out-of-Distribution Generalization via Risk Extrapolation (REx)


Mar 13, 2020
David Krueger , Ethan Caballero , Joern-Henrik Jacobsen , Amy Zhang , Jonathan Binas , Remi Le Priol , Aaron Courville


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Skip-Thought Memory Networks


Nov 24, 2015
Ethan Caballero

* Removed by arXiv administrators because submission violated the terms of arXiv's license agreement 

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