Yihao Xue, Kyle Whitecross, Baharan Mirzasoleiman. Investigating Why Contrastive Learning Benefits Robustness against Label Noise. In Kamalika Chaudhuri, Stefanie Jegelka, Le Song, Csaba Szepesvári, Gang Niu 0001, Sivan Sabato, editors, International Conference on Machine Learning, ICML 2022, 17-23 July 2022, Baltimore, Maryland, USA. Volume 162 of Proceedings of Machine Learning Research, pages 24851-24871, PMLR, 2022. [doi]
@inproceedings{XueWM22,
title = {Investigating Why Contrastive Learning Benefits Robustness against Label Noise},
author = {Yihao Xue and Kyle Whitecross and Baharan Mirzasoleiman},
year = {2022},
url = {https://proceedings.mlr.press/v162/xue22a.html},
researchr = {https://researchr.org/publication/XueWM22},
cites = {0},
citedby = {0},
pages = {24851-24871},
booktitle = {International Conference on Machine Learning, ICML 2022, 17-23 July 2022, Baltimore, Maryland, USA},
editor = {Kamalika Chaudhuri and Stefanie Jegelka and Le Song and Csaba Szepesvári and Gang Niu 0001 and Sivan Sabato},
volume = {162},
series = {Proceedings of Machine Learning Research},
publisher = {PMLR},
}