Training Classifiers that are Universally Robust to All Label Noise Levels

27 May 2021

Papers citing "Training Classifiers that are Universally Robust to All Label Noise Levels"

2 / 2 papers shown

Title
GenKL: An Iterative Framework for Resolving Label Ambiguity and Label Non-conformity in Web Images Via a New Generalized KL Divergence Xia Huang Kai Fong Ernest Chong 42 2 0 19 Jul 2023
Combating noisy labels by agreement: A joint training method with co-regularization Hongxin Wei Lei Feng Xiangyu Chen Bo An NoLa 319 498 0 05 Mar 2020