60 citations · 90 across the 2 of their papers we have counts for
2 papers
cs.LG2020★ 30 cited
Regularizing Class-wise Predictions via Self-knowledge Distillation
Sukmin Yun, Jongjin Park, Kimin Lee +1
Deep neural networks with millions of parameters may suffer from poor generalization due to overfitting. To mitigate the issue, we propose a new regularization method that penalize…
stat.ML2019★ 60 cited
Robust Inference via Generative Classifiers for Handling Noisy Labels
Kimin Lee, Sukmin Yun, Kibok Lee +3
Large-scale datasets may contain significant proportions of noisy (incorrect) class labels, and it is well-known that modern deep neural networks (DNNs) poorly generalize from such…