The Many Faces of Robustness: A Critical Analysis of Out-of-Distribution Generalization-Reference-Cited by-同舟云学术

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The Many Faces of Robustness: A Critical Analysis of Out-of-Distribution Generalization

Published:2021-10 Issue: Volume: Page:
ISSN:
Container-title:2021 IEEE/CVF International Conference on Computer Vision (ICCV)
language:
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Author:

Hendrycks Dan¹,Basart Steven²,Mu Norman¹,Kadavath Saurav¹,Wang Frank³,Dorundo Evan³,Desai Rahul¹,Zhu Tyler¹,Parajuli Samyak¹,Guo Mike¹,Song Dawn¹,Steinhardt Jacob¹,Gilmer Justin³

Affiliation:

1. UC Berkeley

2. UChicago

3. Google

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9709627/9709628/09710159.pdf?arnumber=9710159

Reference40 articles.

1. mixup: Beyond empirical risk minimization;zhang,2017

2. CutMix: Regularization Strategy to Train Strong Classifiers With Localizable Features

3. Fast is better than free: Revisiting adversarial training;wong,2020

4. Learning robust global representations by penalizing local predictive power;wang,2019

5. Lossy image compression with compressive autoencoders;theis,2017

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