Learning from open-set noisy labels based on multi-prototype modeling

Deep Residual Learning for Image Recognition

Kaiming He, Xiangyu Zhang, Shaoqing Ren et al. · 2016 · 222.1K citations · Full text

Computing, Computer Science, Computer Vision +11

Understanding deep learning (still) requires rethinking generalization

Chiyuan Zhang, Samy Bengio, Moritz Hardt et al. · Communications of the ACM · 2021 · 2.3K citations · Full text

Computing, Computer Science, Artificial Intelligence +12

Unsupervised Data Augmentation for Consistency Training

Qizhe Xie, Zihang Dai, Eduard Hovy et al. · arXiv (Cornell University) · 2019 · 1.6K citations · Full text

Computing, Computer Science, Data Mining +9

Generalized Cross Entropy Loss for Training Deep Neural Networks with Noisy Labels

Zhilu Zhang, Mert R. Sabuncu · PubMed · 2018 · 1.5K citations · Full text

Computing, Computer Science, Artificial Intelligence +16

Co-teaching: Robust Training of Deep Neural Networks with Extremely Noisy Labels

Bo Han, Quanming Yao, Xingrui Yu et al. · Neural Information Processing Systems · 2018 · 1.2K citations

Computing, Computer Science, Machine Learning +10