Out_of_Distribution_Generalization_via_Risk_Extrapolation.md

@misc{krueger2020outofdistribution,
archivePrefix = {arXiv},
arxivId = {cs.LG/2003.00688},
author = {Krueger, David and Caballero, Ethan and Jacobsen, Joern-Henrik and Zhang, Amy and Binas, Jonathan and Priol, Remi Le and Courville, Aaron},
eprint = {2003.00688},
primaryClass = {cs.LG},
title = {{Out-of-Distribution Generalization via Risk Extrapolation (REx)}},
year = {2020}
}

This paper introduces risk extrapolation as a new method to generalize outside of the training distribution.

However, it cannot be used for adversarial examples.