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Neural Networks Against (and For) Self-Training: Classification with
  Small Labeled and Large Unlabeled Sets

Neural Networks Against (and For) Self-Training: Classification with Small Labeled and Large Unlabeled Sets

31 December 2023
Payam Karisani
ArXivPDFHTML

Papers citing "Neural Networks Against (and For) Self-Training: Classification with Small Labeled and Large Unlabeled Sets"

5 / 5 papers shown
Title
Dynamic Against Dynamic: An Open-set Self-learning Framework
Dynamic Against Dynamic: An Open-set Self-learning Framework
Haifeng Yang
Chuanxing Geng
P. Yuen
Songcan Chen
39
0
0
27 Apr 2024
STraTA: Self-Training with Task Augmentation for Better Few-shot
  Learning
STraTA: Self-Training with Task Augmentation for Better Few-shot Learning
Tu Vu
Minh-Thang Luong
Quoc V. Le
Grady Simon
Mohit Iyyer
122
60
0
13 Sep 2021
In Defense of Pseudo-Labeling: An Uncertainty-Aware Pseudo-label
  Selection Framework for Semi-Supervised Learning
In Defense of Pseudo-Labeling: An Uncertainty-Aware Pseudo-label Selection Framework for Semi-Supervised Learning
Mamshad Nayeem Rizve
Kevin Duarte
Y. S. Rawat
M. Shah
220
508
0
15 Jan 2021
Meta Pseudo Labels
Meta Pseudo Labels
Hieu H. Pham
Zihang Dai
Qizhe Xie
Minh-Thang Luong
Quoc V. Le
VLM
253
656
0
23 Mar 2020
Revisiting Self-Training for Neural Sequence Generation
Revisiting Self-Training for Neural Sequence Generation
Junxian He
Jiatao Gu
Jiajun Shen
MarcÁurelio Ranzato
SSL
LRM
244
269
0
30 Sep 2019
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