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MaxMatch: Semi-Supervised Learning with Worst-Case Consistency

MaxMatch: Semi-Supervised Learning with Worst-Case Consistency

26 September 2022
Yangbangyan Jiang Xiaodan Li
Xiaodan Li
YueFeng Chen
Yuan He
Qianqian Xu
Zhiyong Yang
Xiaochun Cao
Qingming Huang
ArXivPDFHTML

Papers citing "MaxMatch: Semi-Supervised Learning with Worst-Case Consistency"

11 / 11 papers shown
Title
Uncertainty-aware Long-tailed Weights Model the Utility of Pseudo-labels for Semi-supervised Learning
Jiaqi Wu
Junbiao Pang
Qingming Huang
60
0
0
13 Mar 2025
CW-BASS: Confidence-Weighted Boundary-Aware Learning for Semi-Supervised Semantic Segmentation
CW-BASS: Confidence-Weighted Boundary-Aware Learning for Semi-Supervised Semantic Segmentation
Ebenezer Tarubinga
Jenifer Kalafatovich Espinoza
Seong-Whan Lee
62
0
0
21 Feb 2025
Decorrelating Structure via Adapters Makes Ensemble Learning Practical
  for Semi-supervised Learning
Decorrelating Structure via Adapters Makes Ensemble Learning Practical for Semi-supervised Learning
Jiaqi Wu
Junbiao Pang
Qingming Huang
29
0
0
08 Aug 2024
SAM as the Guide: Mastering Pseudo-Label Refinement in Semi-Supervised
  Referring Expression Segmentation
SAM as the Guide: Mastering Pseudo-Label Refinement in Semi-Supervised Referring Expression Segmentation
Danni Yang
Jiayi Ji
Yiwei Ma
Tianyu Guo
Haowei Wang
Xiaoshuai Sun
Rongrong Ji
ISeg
VLM
39
5
0
03 Jun 2024
RankMatch: A Novel Approach to Semi-Supervised Label Distribution
  Learning Leveraging Inter-label Correlations
RankMatch: A Novel Approach to Semi-Supervised Label Distribution Learning Leveraging Inter-label Correlations
Kouzhiqiang Yucheng Xie
Jing Wang
Yuheng Jia
Boyu Shi
Xin Geng
24
0
0
11 Dec 2023
OTMatch: Improving Semi-Supervised Learning with Optimal Transport
OTMatch: Improving Semi-Supervised Learning with Optimal Transport
Zhiquan Tan
Kaipeng Zheng
Weiran Huang
OT
35
8
0
26 Oct 2023
SEAL: Simultaneous Label Hierarchy Exploration And Learning
SEAL: Simultaneous Label Hierarchy Exploration And Learning
Zhi-Hao Tan
Zihao W. Wang
Yifan Zhang
48
6
0
26 Apr 2023
Sinkhorn Label Allocation: Semi-Supervised Classification via Annealed
  Self-Training
Sinkhorn Label Allocation: Semi-Supervised Classification via Annealed Self-Training
Kai Sheng Tai
Peter Bailis
Gregory Valiant
OT
45
43
0
17 Feb 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
Improved Baselines with Momentum Contrastive Learning
Improved Baselines with Momentum Contrastive Learning
Xinlei Chen
Haoqi Fan
Ross B. Girshick
Kaiming He
SSL
267
3,371
0
09 Mar 2020
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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