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Confidence Adaptive Regularization for Deep Learning with Noisy Labels

Confidence Adaptive Regularization for Deep Learning with Noisy Labels

18 August 2021
Yangdi Lu
Yang Bo
Wenbo He
    NoLa
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Papers citing "Confidence Adaptive Regularization for Deep Learning with Noisy Labels"

4 / 4 papers shown
Title
Neighbour Consistency Guided Pseudo-Label Refinement for Unsupervised
  Person Re-Identification
Neighbour Consistency Guided Pseudo-Label Refinement for Unsupervised Person Re-Identification
De-Chun Cheng
Haichun Tai
N. Wang
Zhen Wang
Xinbo Gao
27
3
0
30 Nov 2022
SELC: Self-Ensemble Label Correction Improves Learning with Noisy Labels
SELC: Self-Ensemble Label Correction Improves Learning with Noisy Labels
Yangdi Lu
Wenbo He
NoLa
37
39
0
02 May 2022
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
319
498
0
05 Mar 2020
Mean teachers are better role models: Weight-averaged consistency
  targets improve semi-supervised deep learning results
Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results
Antti Tarvainen
Harri Valpola
OOD
MoMe
264
1,275
0
06 Mar 2017
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