Co-teaching: Robust Training of Deep Neural Networks with Extremely Noisy LabelsBo Han, Masashi Sugiyama, Quanming Yao et al.|Neural Information Processing Systems|2018Cited by 1.2k
Co-teaching: Robust Training of Deep Neural Networks with Extremely Noisy LabelsBo Han, Masashi Sugiyama, Quanming Yao et al.|arXiv (Cornell University)|2018Cited by 454
How does Disagreement Help Generalization against Label Corruption?Xingrui Yu, Masashi Sugiyama, Jiangchao Yao et al.|arXiv (Cornell University)|2019Cited by 155
SIGUA: Forgetting May Make Learning with Noisy Labels More RobustBo Han, Masashi Sugiyama, Gang Niu et al.|arXiv (Cornell University)|2018Cited by 64
How Does Disagreement Benefit Co-teaching?Xingrui Yu, Masashi Sugiyama, Bo Han et al.|arXiv (Cornell University)|2019Cited by 23