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Reliable Label Correction is a Good Booster When Learning with Extremely Noisy Labels

30 April 2022

Yang You

Papers citing "Reliable Label Correction is a Good Booster When Learning with Extremely Noisy Labels"

3 / 3 papers shown

Title
BiCro: Noisy Correspondence Rectification for Multi-modality Data via Bi-directional Cross-modal Similarity Consistency Shuo Yang Zhaopan Xu Kai Wang Yang You Huanjin Yao Tongliang Liu Min Xu 118 30 0 22 Mar 2023
Divide to Adapt: Mitigating Confirmation Bias for Domain Adaptation of Black-Box Predictors Jianfei Yang Xiangyu Peng Kaidi Wang Zheng Hua Zhu Jiashi Feng Lihua Xie Yang You 103 29 0 28 May 2022
Dataset Pruning: Reducing Training Data by Examining Generalization Influence Shuo Yang Zeke Xie Hanyu Peng Minjing Xu Mingming Sun P. Li DD 258 114 0 19 May 2022