Understanding and Improving Early Stopping for Learning with Noisy Labels

1 code implementation • NeurIPS 2021 • Yingbin Bai, Erkun Yang, Bo Han, Yanhua Yang, Jiatong Li, Yinian Mao, Gang Niu, Tongliang Liu

Instead of the early stopping, which trains a whole DNN all at once, we initially train former DNN layers by optimizing the DNN with a relatively large number of epochs.

Learning with noisy labels Memorization

Extended T: Learning with Mixed Closed-set and Open-set Noisy Labels

no code implementations • 2 Dec 2020 • Xiaobo Xia, Tongliang Liu, Bo Han, Nannan Wang, Jiankang Deng, Jiatong Li, Yinian Mao

The traditional transition matrix is limited to model closed-set label noise, where noisy training data has true class labels within the noisy label set.