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Transform consistency for learning with noisy labels

Transform consistency for learning with noisy labels

25 March 2021
Rumeng Yi
Yaping Huang
    NoLa
ArXivPDFHTML

Papers citing "Transform consistency for learning with noisy labels"

3 / 3 papers shown
Title
Dropout can Simulate Exponential Number of Models for Sample Selection
  Techniques
Dropout can Simulate Exponential Number of Models for Sample Selection Techniques
RD Samsung
29
0
0
26 Feb 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
310
497
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
261
1,275
0
06 Mar 2017
1