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FlexSSL : A Generic and Efficient Framework for Semi-Supervised Learning

FlexSSL : A Generic and Efficient Framework for Semi-Supervised Learning

28 December 2023
Huiling Qin
Xianyuan Zhan
Yuanxun Li
Yu Zheng
ArXivPDFHTML

Papers citing "FlexSSL : A Generic and Efficient Framework for Semi-Supervised Learning"

3 / 3 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
215
848
0
15 Oct 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
203
501
0
15 Jan 2021
Confidence Regularized Self-Training
Confidence Regularized Self-Training
Yang Zou
Zhiding Yu
Xiaofeng Liu
B. Kumar
Jinsong Wang
216
783
0
26 Aug 2019
1