Dan Hendrycks, Mantas Mazeika, Duncan Wilson, Kevin Gimpel. Using Trusted Data to Train Deep Networks on Labels Corrupted by Severe Noise. In Samy Bengio, Hanna M. Wallach, Hugo Larochelle, Kristen Grauman, Nicolò Cesa-Bianchi, Roman Garnett, editors, Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, NeurIPS 2018, 3-8 December 2018, Montréal, Canada. pages 10477-10486, 2018. [doi]
@inproceedings{HendrycksMWG18,
title = {Using Trusted Data to Train Deep Networks on Labels Corrupted by Severe Noise},
author = {Dan Hendrycks and Mantas Mazeika and Duncan Wilson and Kevin Gimpel},
year = {2018},
url = {http://papers.nips.cc/paper/8246-using-trusted-data-to-train-deep-networks-on-labels-corrupted-by-severe-noise},
researchr = {https://researchr.org/publication/HendrycksMWG18},
cites = {0},
citedby = {0},
pages = {10477-10486},
booktitle = {Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, NeurIPS 2018, 3-8 December 2018, Montréal, Canada},
editor = {Samy Bengio and Hanna M. Wallach and Hugo Larochelle and Kristen Grauman and Nicolò Cesa-Bianchi and Roman Garnett},
}