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Learning from Noisy Labels with Coarse-to-Fine Sample Credibility
  Modeling

Learning from Noisy Labels with Coarse-to-Fine Sample Credibility Modeling

23 August 2022
Boshen Zhang
Yuxi Li
Yuanpeng Tu
Jinlong Peng
Yabiao Wang
Cunlin Wu
Yanghua Xiao
Cairong Zhao
    NoLa
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Papers citing "Learning from Noisy Labels with Coarse-to-Fine Sample Credibility Modeling"

3 / 3 papers shown
Title
Provably End-to-end Label-Noise Learning without Anchor Points
Provably End-to-end Label-Noise Learning without Anchor Points
Xuefeng Li
Tongliang Liu
Bo Han
Gang Niu
Masashi Sugiyama
NoLa
112
119
0
04 Feb 2021
Combating noisy labels by agreement: A joint training method with
  co-regularization
Combating noisy labels by agreement: A joint training method with co-regularization
Hongxin Wei
Lei Feng
Xiangyu Chen
Bo An
NoLa
303
494
0
05 Mar 2020
Curriculum Loss: Robust Learning and Generalization against Label
  Corruption
Curriculum Loss: Robust Learning and Generalization against Label Corruption
Yueming Lyu
Ivor W. Tsang
NoLa
47
172
0
24 May 2019
1