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Improving Performance of Semi-Supervised Learning by Adversarial Attacks

Improving Performance of Semi-Supervised Learning by Adversarial Attacks

8 August 2023
Dongyoon Yang
Kunwoong Kim
Yongdai Kim
    AAML
ArXivPDFHTML

Papers citing "Improving Performance of Semi-Supervised Learning by Adversarial Attacks"

2 / 2 papers shown
Title
FlexMatch: Boosting Semi-Supervised Learning with Curriculum Pseudo
  Labeling
FlexMatch: Boosting Semi-Supervised Learning with Curriculum Pseudo Labeling
Bowen Zhang
Yidong Wang
Wenxin Hou
Hao Wu
Jindong Wang
Manabu Okumura
T. Shinozaki
AAML
255
863
0
15 Oct 2021
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
1