Dan Hendrycks, Mantas Mazeika, Saurav Kadavath, Dawn Song. Using Self-Supervised Learning Can Improve Model Robustness and Uncertainty. In Hanna M. Wallach, Hugo Larochelle, Alina Beygelzimer, Florence d'Alché-Buc, Edward A. Fox, Roman Garnett, editors, Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, NeurIPS 2019, 8-14 December 2019, Vancouver, BC, Canada. pages 15637-15648, 2019. [doi]
@inproceedings{HendrycksMKS19,
title = {Using Self-Supervised Learning Can Improve Model Robustness and Uncertainty},
author = {Dan Hendrycks and Mantas Mazeika and Saurav Kadavath and Dawn Song},
year = {2019},
url = {http://papers.nips.cc/paper/9697-using-self-supervised-learning-can-improve-model-robustness-and-uncertainty},
researchr = {https://researchr.org/publication/HendrycksMKS19},
cites = {0},
citedby = {0},
pages = {15637-15648},
booktitle = {Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, NeurIPS 2019, 8-14 December 2019, Vancouver, BC, Canada},
editor = {Hanna M. Wallach and Hugo Larochelle and Alina Beygelzimer and Florence d'Alché-Buc and Edward A. Fox and Roman Garnett},
}