ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2026 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2205.07246
  4. Cited By
FreeMatch: Self-adaptive Thresholding for Semi-supervised Learning
v1v2v3 (latest)

FreeMatch: Self-adaptive Thresholding for Semi-supervised Learning

International Conference on Learning Representations (ICLR), 2022
15 May 2022
Yidong Wang
Hao Chen
Qiang Heng
Wenxin Hou
Yue Fan
Zhen Wu
Yongfeng Zhang
Marios Savvides
T. Shinozaki
Bhiksha Raj
Bernt Schiele
Xing Xie
ArXiv (abs)PDFHTMLGithub (1470★)

Papers citing "FreeMatch: Self-adaptive Thresholding for Semi-supervised Learning"

50 / 169 papers shown
StereoDETR: Stereo-based Transformer for 3D Object Detection
StereoDETR: Stereo-based Transformer for 3D Object Detection
Shiyi Mu
Zichong Gu
Zhiqi Ai
Anqi Liu
Yilin Gao
Shugong Xu
ViT3DPC
153
0
0
24 Nov 2025
Hierarchical Semi-Supervised Active Learning for Remote Sensing
Hierarchical Semi-Supervised Active Learning for Remote Sensing
Wei Huang
Zhitong Xiong
Chenying Liu
Xiao Xiang Zhu
129
0
0
22 Nov 2025
Decoupled Entropy Minimization
Decoupled Entropy Minimization
Jing Ma
Hanlin Li
Xiang Xiang
108
0
0
05 Nov 2025
GenCNER: A Generative Framework for Continual Named Entity Recognition
GenCNER: A Generative Framework for Continual Named Entity Recognition
Yawen Yang
Fukun Ma
Shiao Meng
Aiwei Liu
Lijie Wen
105
0
0
13 Oct 2025
Keep It on a Leash: Controllable Pseudo-label Generation Towards Realistic Long-Tailed Semi-Supervised Learning
Keep It on a Leash: Controllable Pseudo-label Generation Towards Realistic Long-Tailed Semi-Supervised Learning
Yaxin Hou
Bo Han
Yuheng Jia
Hui Liu
Junhui Hou
406
0
0
05 Oct 2025
Learning Robust Diffusion Models from Imprecise Supervision
Learning Robust Diffusion Models from Imprecise Supervision
Dong-Dong Wu
Jiacheng Cui
Wei Wang
Zhiqiang She
Masashi Sugiyama
DiffM
339
0
0
03 Oct 2025
Noisy-Pair Robust Representation Alignment for Positive-Unlabeled Learning
Noisy-Pair Robust Representation Alignment for Positive-Unlabeled Learning
Hengwei Zhao
Zhengzhong Tu
Zhuo Zheng
Wei Wang
Junjue Wang
Rusty Feagin
Wenzhe Jiao
NoLa
233
0
0
30 Sep 2025
SpikeMatch: Semi-Supervised Learning with Temporal Dynamics of Spiking Neural Networks
SpikeMatch: Semi-Supervised Learning with Temporal Dynamics of Spiking Neural Networks
Jini Yang
Beomseok Oh
Seungryong Kim
S. Kim
126
0
0
26 Sep 2025
An Adaptor for Triggering Semi-Supervised Learning to Out-of-Box Serve Deep Image Clustering
An Adaptor for Triggering Semi-Supervised Learning to Out-of-Box Serve Deep Image ClusteringIEEE Transactions on Image Processing (IEEE TIP), 2025
Yue Duan
Lei Qi
Yinghuan Shi
Yang Gao
181
0
0
25 Sep 2025
TRiCo: Triadic Game-Theoretic Co-Training for Robust Semi-Supervised Learning
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
178
0
0
25 Sep 2025
Multimodal Medical Image Classification via Synergistic Learning Pre-training
Multimodal Medical Image Classification via Synergistic Learning Pre-training
Qinghua Lin
Guang-Hai Liu
Zuoyong Li
Yang Li
Yuting Jiang
Xiang Wu
130
1
0
22 Sep 2025
When Confidence Fails: Revisiting Pseudo-Label Selection in Semi-supervised Semantic Segmentation
When Confidence Fails: Revisiting Pseudo-Label Selection in Semi-supervised Semantic Segmentation
Pan Liu
Jinshi Liu
142
0
0
20 Sep 2025
Domain Adaptive SAR Wake Detection: Leveraging Similarity Filtering and Memory Guidance
Domain Adaptive SAR Wake Detection: Leveraging Similarity Filtering and Memory Guidance
He Gao
Baoxiang Huang
Milena Radenkovic
Borui Li
Ge Chen
82
0
0
14 Sep 2025
Divide-and-Conquer for Enhancing Unlabeled Learning, Stability, and Plasticity in Semi-supervised Continual Learning
Divide-and-Conquer for Enhancing Unlabeled Learning, Stability, and Plasticity in Semi-supervised Continual Learning
Yue Duan
Taicai Chen
Lei Qi
Yinghuan Shi
CLL
120
0
0
07 Aug 2025
MIRRAMS: Learning Robust Tabular Models under Unseen Missingness Shifts
MIRRAMS: Learning Robust Tabular Models under Unseen Missingness Shifts
Jihye Lee
Minseo Kang
Dongha Kim
OODVLM
150
0
0
11 Jul 2025
Info-Coevolution: An Efficient Framework for Data Model Coevolution
Ziheng Qin
Hailun Xu
Wei Chee Yew
Qi Jia
Yang Luo
Kanchan Sarkar
Danhui Guan
Xiaojiang Peng
Yang You
235
1
0
09 Jun 2025
SST: Self-training with Self-adaptive Thresholding for Semi-supervised Learning
SST: Self-training with Self-adaptive Thresholding for Semi-supervised LearningInformation Processing & Management (IPM), 2025
Shuai Zhao
Heyan Huang
Xinge Li
Xiaokang Chen
Rui Wang
193
3
0
31 May 2025
Diversify and Conquer: Open-set Disagreement for Robust Semi-supervised Learning with Outliers
Diversify and Conquer: Open-set Disagreement for Robust Semi-supervised Learning with OutliersIEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), 2025
Heejo Kong
Sung-Jin Kim
Gunho Jung
Seong-Whan Lee
188
2
0
30 May 2025
Decoupled Competitive Framework for Semi-supervised Medical Image Segmentation
Decoupled Competitive Framework for Semi-supervised Medical Image SegmentationEuropean Conference on Artificial Intelligence (ECAI), 2025
Jiahe Chen
Jiahe Ying
Shen Wang
Jianwei Zheng
157
0
0
30 May 2025
Shuffle PatchMix Augmentation with Confidence-Margin Weighted Pseudo-Labels for Enhanced Source-Free Domain Adaptation
Shuffle PatchMix Augmentation with Confidence-Margin Weighted Pseudo-Labels for Enhanced Source-Free Domain AdaptationInternational Conference on Information Photonics (ICIP), 2025
Prasanna Reddy Pulakurthi
Majid Rabbani
Jamison Heard
S. Dianat
Celso M. De Melo
Raghuveer Rao
TTA
236
0
0
30 May 2025
A Square Peg in a Square Hole: Meta-Expert for Long-Tailed Semi-Supervised Learning
A Square Peg in a Square Hole: Meta-Expert for Long-Tailed Semi-Supervised Learning
Yaxin Hou
Yuheng Jia
369
2
0
22 May 2025
ULFine: Unbiased Lightweight Fine-tuning for Foundation-Model-Assisted Long-Tailed Semi-Supervised Learning
ULFine: Unbiased Lightweight Fine-tuning for Foundation-Model-Assisted Long-Tailed Semi-Supervised Learning
Enhao Zhang
Chaohua Li
Chuanxing Geng
Songcan Chen
421
0
0
08 May 2025
Handling Imbalanced Pseudolabels for Vision-Language Models with Concept Alignment and Confusion-Aware Calibrated Margin
Handling Imbalanced Pseudolabels for Vision-Language Models with Concept Alignment and Confusion-Aware Calibrated Margin
Yuchen Wang
X. Bai
Xiaochen Li
Weili Guan
Liqiang Nie
Xinyang Chen
VLM
325
0
0
04 May 2025
Weakly Semi-supervised Whole Slide Image Classification by Two-level Cross Consistency Supervision
Weakly Semi-supervised Whole Slide Image Classification by Two-level Cross Consistency Supervision
Linhao Qu
Shiman Li
Xiaoyuan Luo
Shaolei Liu
Qinhao Guo
Manning Wang
Zhijian Song
304
1
0
16 Apr 2025
Cycle Training with Semi-Supervised Domain Adaptation: Bridging Accuracy and Efficiency for Real-Time Mobile Scene Detection
Cycle Training with Semi-Supervised Domain Adaptation: Bridging Accuracy and Efficiency for Real-Time Mobile Scene Detection
Huu-Phong Phan-Nguyen
Anh Dao
T. Nguyen
Tuan Quang
H. Tran
Tinh-Anh Nguyen-Nhu
Huy-Thach Pham
Quan Nguyen
Hoang M. Le
Quang-Vinh Dinh
231
1
0
12 Apr 2025
Feature Modulation for Semi-Supervised Domain Generalization without Domain Labels
Feature Modulation for Semi-Supervised Domain Generalization without Domain Labels
Venuri Amarasinghe
Asini Jayakody
Isun Randila
Kalinga Bandara
Chamuditha Jayanga Galappaththige
Ranga Rodrigo
271
0
0
26 Mar 2025
CustomKD: Customizing Large Vision Foundation for Edge Model Improvement via Knowledge Distillation
CustomKD: Customizing Large Vision Foundation for Edge Model Improvement via Knowledge DistillationComputer Vision and Pattern Recognition (CVPR), 2025
Jungsoo Lee
Debasmit Das
Munawar Hayat
Sungha Choi
Kyuwoong Hwang
Fatih Porikli
VLM
276
3
0
23 Mar 2025
Unlocking the Potential of Unlabeled Data in Semi-Supervised Domain Generalization
Unlocking the Potential of Unlabeled Data in Semi-Supervised Domain GeneralizationComputer Vision and Pattern Recognition (CVPR), 2025
Dongkwan Lee
Kyomin Hwang
Nojun Kwak
379
1
0
18 Mar 2025
Uncertainty-aware Long-tailed Weights Model the Utility of Pseudo-labels for Semi-supervised Learning
Jiaqi Wu
Junbiao Pang
Qingming Huang
240
0
0
13 Mar 2025
Knowledge Consultation for Semi-Supervised Semantic Segmentation
Thuan Than
Nhat-Anh Nguyen-Dang
Dung Nguyen
Salwa K. Al Khatib
Ahmed Elhagry
Hai T. Phan
Yihui He
Zhiqiang Shen
Marios Savvides
Dang T. Huynh
VLM
382
1
0
12 Mar 2025
STiL: Semi-supervised Tabular-Image Learning for Comprehensive Task-Relevant Information Exploration in Multimodal Classification
STiL: Semi-supervised Tabular-Image Learning for Comprehensive Task-Relevant Information Exploration in Multimodal ClassificationComputer Vision and Pattern Recognition (CVPR), 2025
Siyi Du
Xinzhe Luo
D. O’Regan
Chen Qin
399
3
0
08 Mar 2025
Semi-Supervised Audio-Visual Video Action Recognition with Audio Source Localization Guided Mixup
Seokun Kang
Taehwan Kim
272
0
0
04 Mar 2025
CGMatch: A Different Perspective of Semi-supervised LearningComputer Vision and Pattern Recognition (CVPR), 2025
Bo Cheng
Jueqing Lu
Yuan Tian
Haifeng Zhao
Yi-Ju Chang
Lan Du
268
4
0
04 Mar 2025
Re-Evaluating the Impact of Unseen-Class Unlabeled Data on Semi-Supervised Learning ModelInternational Conference on Learning Representations (ICLR), 2025
Rundong He
Yicong Dong
Lanzhe Guo
Yilong Yin
Tailin Wu
276
0
0
02 Mar 2025
LEO-Split: A Semi-Supervised Split Learning Framework over LEO Satellite NetworksIEEE Transactions on Mobile Computing (IEEE TMC), 2025
Zheng Lin
Yuxin Zhang
Zhaoyu Chen
Zihan Fang
Cong Wu
Xianhao Chen
Yue Gao
Jun Luo
275
22
0
03 Jan 2025
Low-Contrast-Enhanced Contrastive Learning for Semi-Supervised Endoscopic Image Segmentation
Low-Contrast-Enhanced Contrastive Learning for Semi-Supervised Endoscopic Image Segmentation
Lingcong Cai
Yongqian Li
Xiaomao Fan
Kaixuan Song
Yongcheng Li
Yixuan Yuan
365
0
0
03 Dec 2024
SP3{ }^33 : Superpixel-propagated pseudo-label learning for weakly semi-supervised medical image segmentation
Shiman Li
Jiayue Zhao
Shaolei Liu
Xiaokun Dai
Chenxi Zhang
Zhijian Song
283
0
0
18 Nov 2024
OwMatch: Conditional Self-Labeling with Consistency for Open-World
  Semi-Supervised Learning
OwMatch: Conditional Self-Labeling with Consistency for Open-World Semi-Supervised LearningNeural Information Processing Systems (NeurIPS), 2024
Shengjie Niu
Lifan Lin
Jian Huang
Chao Wang
340
5
0
04 Nov 2024
Improving self-training under distribution shifts via anchored
  confidence with theoretical guarantees
Improving self-training under distribution shifts via anchored confidence with theoretical guaranteesNeural Information Processing Systems (NeurIPS), 2024
Taejong Joo
Diego Klabjan
UQCV
322
0
0
01 Nov 2024
(FL)$^2$: Overcoming Few Labels in Federated Semi-Supervised Learning
(FL)2^22: Overcoming Few Labels in Federated Semi-Supervised LearningNeural Information Processing Systems (NeurIPS), 2024
Seungjoo Lee
Thanh-Long V. Le
Jaemin Shin
Sung-Ju Lee
FedML
312
6
0
30 Oct 2024
RankUp: Boosting Semi-Supervised Regression with an Auxiliary Ranking
  Classifier
RankUp: Boosting Semi-Supervised Regression with an Auxiliary Ranking ClassifierNeural Information Processing Systems (NeurIPS), 2024
Pin-Yen Huang
Szu-Wei Fu
Yu Tsao
212
6
0
29 Oct 2024
SemSim: Revisiting Weak-to-Strong Consistency from a Semantic Similarity
  Perspective for Semi-supervised Medical Image Segmentation
SemSim: Revisiting Weak-to-Strong Consistency from a Semantic Similarity Perspective for Semi-supervised Medical Image Segmentation
Shiao Xie
Jian Shu
Ziwei Niu
Hao Sun
Shuyi Ouyang
Yen-Wei Chen
Lanfen Lin
218
0
0
17 Oct 2024
Towards Understanding Why FixMatch Generalizes Better Than Supervised Learning
Towards Understanding Why FixMatch Generalizes Better Than Supervised LearningInternational Conference on Learning Representations (ICLR), 2024
Jingyang Li
Jiachun Pan
Vincent Y. F. Tan
Kim-Chuan Toh
Pan Zhou
AAMLMLT
450
2
0
15 Oct 2024
Browsing without Third-Party Cookies: What Do You See?
Browsing without Third-Party Cookies: What Do You See?ACM/SIGCOMM Internet Measurement Conference (IMC), 2024
Maxwell Lin
Shihan Lin
Helen Wu
Karen Wang
Xiaowei Yang
BDL
482
49
0
14 Oct 2024
Exploring Semi-Supervised Learning for Online Mapping
Exploring Semi-Supervised Learning for Online Mapping
Adam Lilja
Erik Wallin
Junsheng Fu
Lars Hammarstrand
SSL
396
4
0
14 Oct 2024
DAdEE: Unsupervised Domain Adaptation in Early Exit PLMs
DAdEE: Unsupervised Domain Adaptation in Early Exit PLMsConference on Empirical Methods in Natural Language Processing (EMNLP), 2024
Divya J. Bajpai
M. Hanawal
205
2
0
06 Oct 2024
MambaEviScrib: Mamba and Evidence-Guided Consistency Enhance CNN
  Robustness for Scribble-Based Weakly Supervised Ultrasound Image Segmentation
MambaEviScrib: Mamba and Evidence-Guided Consistency Enhance CNN Robustness for Scribble-Based Weakly Supervised Ultrasound Image SegmentationInformation Fusion (Inf. Fusion), 2024
Xiaoxiang Han
Xinyu Li
Jiang Shang
Yiman Liu
Keyan Chen
Qiaohong Liu
Qi Zhang
Qi Zhang
Mamba
224
0
0
28 Sep 2024
SCOMatch: Alleviating Overtrusting in Open-set Semi-supervised Learning
SCOMatch: Alleviating Overtrusting in Open-set Semi-supervised LearningEuropean Conference on Computer Vision (ECCV), 2024
Zerun Wang
Liuyu Xiang
Lang Huang
Jiafeng Mao
Ling Xiao
Toshihiko Yamasaki
280
5
0
26 Sep 2024
Exploring Information-Theoretic Metrics Associated with Neural Collapse in Supervised Training
Exploring Information-Theoretic Metrics Associated with Neural Collapse in Supervised Training
Kun Song
Zhiquan Tan
Bochao Zou
Jiansheng Chen
Huimin Ma
Weiran Huang
384
2
0
25 Sep 2024
Enhancing Semi-Supervised Learning via Representative and Diverse Sample
  Selection
Enhancing Semi-Supervised Learning via Representative and Diverse Sample SelectionNeural Information Processing Systems (NeurIPS), 2024
Qian Shao
Jiangrui Kang
Qiyuan Chen
Zepeng Li
Hongxia Xu
Yiwen Cao
Jiajuan Liang
Jian Wu
245
1
0
18 Sep 2024
1234
Next