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Learning to Learn in a Semi-Supervised Fashion

Learning to Learn in a Semi-Supervised Fashion

25 August 2020
Yun-Chun Chen
Chao-Te Chou
Y. Wang
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Papers citing "Learning to Learn in a Semi-Supervised Fashion"

4 / 4 papers shown
Title
ReRankMatch: Semi-Supervised Learning with Semantics-Oriented Similarity
  Representation
ReRankMatch: Semi-Supervised Learning with Semantics-Oriented Similarity Representation
T. Tran
Mingu Kang
Daeyoung Kim
17
1
0
12 Feb 2021
There Are Many Consistent Explanations of Unlabeled Data: Why You Should
  Average
There Are Many Consistent Explanations of Unlabeled Data: Why You Should Average
Ben Athiwaratkun
Marc Finzi
Pavel Izmailov
A. Wilson
199
243
0
14 Jun 2018
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
335
11,684
0
09 Mar 2017
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
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