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1901.05515
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The information-theoretic value of unlabeled data in semi-supervised learning
16 January 2019
Alexander Golovnev
D. Pál
Balazs Szorenyi
SSL
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Papers citing
"The information-theoretic value of unlabeled data in semi-supervised learning"
6 / 6 papers shown
TRiCo: Triadic Game-Theoretic Co-Training for Robust Semi-Supervised Learning
Hongyang He
Xinyuan Song
Yangfan He
Z. Zhang
Yanshu Li
Haochen You
Lifan Sun
Wenqiao Zhang
177
0
0
25 Sep 2025
Meta Co-Training: Two Views are Better than One
Jay C. Rothenberger
Dimitrios I. Diochnos
VLM
709
5
0
29 Nov 2023
Learning from Stochastic Labels
Menglong Wei
Zhongnian Li
Yong Zhou
Qiaoyu Guo
Xinzheng Xu
154
0
0
01 Feb 2023
Class-Imbalanced Complementary-Label Learning via Weighted Loss
Neural Networks (NN), 2022
Meng Wei
Yong Zhou
Zhongnian Li
Xinzheng Xu
171
19
0
28 Sep 2022
Improvability Through Semi-Supervised Learning: A Survey of Theoretical Results
A. Mey
Marco Loog
SSL
246
20
0
26 Aug 2019
When can unlabeled data improve the learning rate?
Annual Conference Computational Learning Theory (COLT), 2019
Christina Göpfert
Shai Ben-David
Olivier Bousquet
Sylvain Gelly
Ilya O. Tolstikhin
Ruth Urner
145
21
0
28 May 2019
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