Detecting Corrupted Labels Without Training a Model to Predict

Detecting Corrupted Labels Without Training a Model to Predict

12 October 2021

Zhaowei Zhu

Yang Liu

Papers citing "Detecting Corrupted Labels Without Training a Model to Predict"

5 / 5 papers shown

Title
Mitigating Neural Network Overconfidence with Logit Normalization Hongxin Wei Renchunzi Xie Hao-Ran Cheng Lei Feng Bo An Yixuan Li OODD 132 191 0 19 May 2022
The Rich Get Richer: Disparate Impact of Semi-Supervised Learning Zhaowei Zhu Tianyi Luo Yang Liu 122 34 0 12 Oct 2021
Provably End-to-end Label-Noise Learning without Anchor Points Xuefeng Li Tongliang Liu Bo Han Gang Niu Masashi Sugiyama NoLa 91 95 0 04 Feb 2021
Federated Bandit: A Gossiping Approach Zhaowei Zhu Jingxuan Zhu Ji Liu Yang Liu FedML 113 77 0 24 Oct 2020
Combating noisy labels by agreement: A joint training method with co-regularization Hongxin Wei Lei Feng Xiangyu Chen Bo An NoLa 260 433 0 05 Mar 2020