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Snowball: Iterative Model Evolution and Confident Sample Discovery for
  Semi-Supervised Learning on Very Small Labeled Datasets

Snowball: Iterative Model Evolution and Confident Sample Discovery for Semi-Supervised Learning on Very Small Labeled Datasets

4 September 2019
Yang Li
Jianhe Yuan
Zhiqun Zhao
Hao Sun
Zhihai He
ArXivPDFHTML

Papers citing "Snowball: Iterative Model Evolution and Confident Sample Discovery for Semi-Supervised Learning on Very Small Labeled Datasets"

3 / 3 papers shown
Title
They are Not Completely Useless: Towards Recycling Transferable
  Unlabeled Data for Class-Mismatched Semi-Supervised Learning
They are Not Completely Useless: Towards Recycling Transferable Unlabeled Data for Class-Mismatched Semi-Supervised Learning
Zhuo Huang
Ying Tai
Chengjie Wang
Jian Yang
Chen Gong
31
23
0
27 Nov 2020
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
202
243
0
14 Jun 2018
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