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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
Robust Training of Federated Models with Extremely Label Deficiency
Robust Training of Federated Models with Extremely Label Deficiency
Yonggang Zhang
Zhiqin Yang
Xinmei Tian
Nannan Wang
Tongliang Liu
Bo Han
FedML
260
7
0
22 Feb 2024
Boosting Semi-Supervised 2D Human Pose Estimation by Revisiting Data Augmentation and Consistency Training
Boosting Semi-Supervised 2D Human Pose Estimation by Revisiting Data Augmentation and Consistency Training
Huayi Zhou
Mukun Luo
Fei Jiang
Yue Ding
Hongtao Lu
Kui Jia
461
0
0
18 Feb 2024
A General Framework for Learning from Weak Supervision
A General Framework for Learning from Weak Supervision
Hao Chen
Yongfeng Zhang
Lei Feng
Xiang Li
Yidong Wang
Xing Xie
Masashi Sugiyama
Rita Singh
Bhiksha Raj
334
8
0
02 Feb 2024
Interleaving One-Class and Weakly-Supervised Models with Adaptive
  Thresholding for Unsupervised Video Anomaly Detection
Interleaving One-Class and Weakly-Supervised Models with Adaptive Thresholding for Unsupervised Video Anomaly DetectionEuropean Conference on Computer Vision (ECCV), 2024
Yongwei Nie
Hao Huang
Chengjiang Long
Qing Zhang
Pradipta Maji
Hongmin Cai
270
6
0
24 Jan 2024
Adaptive Self-training Framework for Fine-grained Scene Graph Generation
Adaptive Self-training Framework for Fine-grained Scene Graph Generation
Kibum Kim
Kanghoon Yoon
Yeonjun In
Jinyoung Moon
Donghyun Kim
Chanyoung Park
237
12
0
18 Jan 2024
Uncertainty-aware Sampling for Long-tailed Semi-supervised Learning
Uncertainty-aware Sampling for Long-tailed Semi-supervised Learning
Kuo Yang
Duo Li
Menghan Hu
Guangtao Zhai
Yunbo Wang
Xiao-Ping Zhang
196
0
0
09 Jan 2024
Three Heads Are Better Than One: Complementary Experts for Long-Tailed
  Semi-supervised Learning
Three Heads Are Better Than One: Complementary Experts for Long-Tailed Semi-supervised Learning
Chengcheng Ma
Ismail Elezi
Jiankang Deng
Weiming Dong
Changsheng Xu
181
16
0
25 Dec 2023
Mixed Pseudo Labels for Semi-Supervised Object Detection
Mixed Pseudo Labels for Semi-Supervised Object Detection
Ze-Yi Chen
Wenwei Zhang
Xinjiang Wang
Kai Chen
Zhi Wang
ObjD
185
16
0
12 Dec 2023
CSOT: Curriculum and Structure-Aware Optimal Transport for Learning with
  Noisy Labels
CSOT: Curriculum and Structure-Aware Optimal Transport for Learning with Noisy Labels
Wanxing Chang
Ye-ling Shi
Jingya Wang
OT
245
16
0
11 Dec 2023
Transferable Candidate Proposal with Bounded Uncertainty
Transferable Candidate Proposal with Bounded Uncertainty
Kyeongryeol Go
Kye-Hyeon Kim
263
2
0
07 Dec 2023
FAGC:Feature Augmentation on Geodesic Curve in the Pre-Shape Space
FAGC:Feature Augmentation on Geodesic Curve in the Pre-Shape Space
Yuexing Han
Gan Hu
Guanxin Wan
Bing Wang
386
7
0
06 Dec 2023
Density-Guided Dense Pseudo Label Selection For Semi-supervised Oriented
  Object Detection
Density-Guided Dense Pseudo Label Selection For Semi-supervised Oriented Object DetectionInternational Conference on Information Photonics (ICIP), 2023
Tong Zhao
Qiang Fang
Shuohao Shi
Xin Xu
226
4
0
21 Nov 2023
Segment Together: A Versatile Paradigm for Semi-Supervised Medical Image
  Segmentation
Segment Together: A Versatile Paradigm for Semi-Supervised Medical Image Segmentation
Qingjie Zeng
Yutong Xie
Zilin Lu
Mengkang Lu
Ramzi N. Zahreddine
Yong-quan Xia
256
30
0
20 Nov 2023
The Pursuit of Human Labeling: A New Perspective on Unsupervised
  Learning
The Pursuit of Human Labeling: A New Perspective on Unsupervised LearningNeural Information Processing Systems (NeurIPS), 2023
Artyom Gadetsky
Maria Brbić
274
9
0
06 Nov 2023
SemiGPC: Distribution-Aware Label Refinement for Imbalanced
  Semi-Supervised Learning Using Gaussian Processes
SemiGPC: Distribution-Aware Label Refinement for Imbalanced Semi-Supervised Learning Using Gaussian Processes
Abdelhak Lemkhenter
Manchen Wang
Luca Zancato
Gurumurthy Swaminathan
Paolo Favaro
Davide Modolo
275
0
0
03 Nov 2023
Generalized Category Discovery with Clustering Assignment Consistency
Generalized Category Discovery with Clustering Assignment ConsistencyInternational Conference on Neural Information Processing (ICONIP), 2023
Xiangli Yang
Xinglin Pan
Irwin King
Zenglin Xu
149
5
0
30 Oct 2023
InstanT: Semi-supervised Learning with Instance-dependent Thresholds
InstanT: Semi-supervised Learning with Instance-dependent ThresholdsNeural Information Processing Systems (NeurIPS), 2023
Muyang Li
Runze Wu
Haoyu Liu
Jun-chen Yu
Xun Yang
Bo Han
Tongliang Liu
227
21
0
29 Oct 2023
OTMatch: Improving Semi-Supervised Learning with Optimal Transport
OTMatch: Improving Semi-Supervised Learning with Optimal TransportInternational Conference on Machine Learning (ICML), 2023
Zhiquan Tan
Kaipeng Zheng
Weiran Huang
OT
307
9
0
26 Oct 2023
FlatMatch: Bridging Labeled Data and Unlabeled Data with Cross-Sharpness
  for Semi-Supervised Learning
FlatMatch: Bridging Labeled Data and Unlabeled Data with Cross-Sharpness for Semi-Supervised LearningNeural Information Processing Systems (NeurIPS), 2023
Zhuo Huang
Li Shen
Jun-chen Yu
Bo Han
Tongliang Liu
FedML
264
35
0
25 Oct 2023
SequenceMatch: Revisiting the design of weak-strong augmentations for
  Semi-supervised learning
SequenceMatch: Revisiting the design of weak-strong augmentations for Semi-supervised learningIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2023
Khanh-Binh Nguyen
275
11
0
24 Oct 2023
Debiasing, calibrating, and improving Semi-supervised Learning
  performance via simple Ensemble Projector
Debiasing, calibrating, and improving Semi-supervised Learning performance via simple Ensemble ProjectorIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2023
Khanh-Binh Nguyen
170
7
0
24 Oct 2023
ASM: Adaptive Sample Mining for In-The-Wild Facial Expression
  Recognition
ASM: Adaptive Sample Mining for In-The-Wild Facial Expression RecognitionChinese Conference on Pattern Recognition and Computer Vision (CPRCV), 2023
Ziyang Zhang
Xiao Sun
Liuwei An
Meng Wang
181
5
0
09 Oct 2023
Cross-head mutual Mean-Teaching for semi-supervised medical image
  segmentation
Cross-head mutual Mean-Teaching for semi-supervised medical image segmentation
Wei Li
Ruifeng Bian
Wenyi Zhao
Weijing Xu
Huihua Yang
351
1
0
08 Oct 2023
Continual Test-time Domain Adaptation via Dynamic Sample Selection
Continual Test-time Domain Adaptation via Dynamic Sample SelectionIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2023
Yanshuo Wang
Jie Hong
A. Cheraghian
Shafin Rahman
David Ahmedt-Aristizabal
Lars Petersson
Mehrtash Harandi
TTA
220
28
0
05 Oct 2023
SemiReward: A General Reward Model for Semi-supervised Learning
SemiReward: A General Reward Model for Semi-supervised LearningInternational Conference on Learning Representations (ICLR), 2023
Siyuan Li
Weiyang Jin
Zedong Wang
Fang Wu
Zicheng Liu
Cheng Tan
Stan Z. Li
263
18
0
04 Oct 2023
Understanding and Mitigating the Label Noise in Pre-training on
  Downstream Tasks
Understanding and Mitigating the Label Noise in Pre-training on Downstream TasksInternational Conference on Learning Representations (ICLR), 2023
Hao Chen
Yongfeng Zhang
Ankit Shah
Ran Tao
Jianguo Huang
Berfin cSimcsek
Masashi Sugiyama
Bhiksha Raj
295
40
0
29 Sep 2023
Generative Semi-supervised Learning with Meta-Optimized Synthetic
  Samples
Generative Semi-supervised Learning with Meta-Optimized Synthetic SamplesAsian Conference on Machine Learning (ACML), 2023
Shinýa Yamaguchi
236
2
0
28 Sep 2023
Contrastive Pseudo Learning for Open-World DeepFake Attribution
Contrastive Pseudo Learning for Open-World DeepFake AttributionIEEE International Conference on Computer Vision (ICCV), 2023
Zhimin Sun
Shen Chen
Taiping Yao
Bangjie Yin
Ran Yi
Shouhong Ding
Lizhuang Ma
CVBM
237
37
0
20 Sep 2023
Fast FixMatch: Faster Semi-Supervised Learning with Curriculum Batch
  Size
Fast FixMatch: Faster Semi-Supervised Learning with Curriculum Batch SizeInternational Symposium on Information Theory (ISIT), 2023
John Chen
Chen Dun
Anastasios Kyrillidis
187
4
0
07 Sep 2023
Semi-Supervised Learning in the Few-Shot Zero-Shot Scenario
Semi-Supervised Learning in the Few-Shot Zero-Shot Scenario
Noam Fluss
Guy Hacohen
D. Weinshall
285
2
0
27 Aug 2023
Pruning the Unlabeled Data to Improve Semi-Supervised Learning
Pruning the Unlabeled Data to Improve Semi-Supervised Learning
Guy Hacohen
D. Weinshall
SSL
200
2
0
27 Aug 2023
Semi-Supervised Semantic Segmentation via Marginal Contextual
  Information
Semi-Supervised Semantic Segmentation via Marginal Contextual Information
Moshe Kimhi
Shai Kimhi
Evgenii Zheltonozhskii
Or Litany
Chaim Baskin
304
19
0
26 Aug 2023
IOMatch: Simplifying Open-Set Semi-Supervised Learning with Joint
  Inliers and Outliers Utilization
IOMatch: Simplifying Open-Set Semi-Supervised Learning with Joint Inliers and Outliers UtilizationIEEE International Conference on Computer Vision (ICCV), 2023
Zekun Li
Lei Qi
Yinghuan Shi
Yang Gao
201
42
0
25 Aug 2023
Alternative Pseudo-Labeling for Semi-Supervised Automatic Speech
  Recognition
Alternative Pseudo-Labeling for Semi-Supervised Automatic Speech RecognitionIEEE/ACM Transactions on Audio Speech and Language Processing (TASLP), 2023
Hanjing Zhu
Dongji Gao
Gaofeng Cheng
Daniel Povey
Pengyuan Zhang
Yonghong Yan
NoLa
244
11
0
12 Aug 2023
Emo-DNA: Emotion Decoupling and Alignment Learning for Cross-Corpus
  Speech Emotion Recognition
Emo-DNA: Emotion Decoupling and Alignment Learning for Cross-Corpus Speech Emotion RecognitionACM Multimedia (ACM MM), 2023
Jiaxin Ye
Yujie Wei
Xin-Cheng Wen
Chenglong Ma
Zhizhong Huang
Kunhong Liu
Hongming Shan
289
6
0
04 Aug 2023
Efficient Semi-Supervised Federated Learning for Heterogeneous
  Participants
Efficient Semi-Supervised Federated Learning for Heterogeneous Participants
Zhipeng Sun
Yang Xu
Hong-Ze Xu
Liusheng Huang
C. Qiao
FedML
233
0
0
29 Jul 2023
Semi-Supervised Learning for Multi-Label Cardiovascular Diseases
  Prediction:A Multi-Dataset Study
Semi-Supervised Learning for Multi-Label Cardiovascular Diseases Prediction:A Multi-Dataset StudyIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023
Rushuang Zhou
Lei Lu
Zijun Liu
Ting Xiang
Zhen Liang
David Clifton
Yining Dong
Yuanyuan Zhang
169
19
0
18 Jun 2023
LabelBench: A Comprehensive Framework for Benchmarking Adaptive
  Label-Efficient Learning
LabelBench: A Comprehensive Framework for Benchmarking Adaptive Label-Efficient Learning
Jifan Zhang
Yifang Chen
Gregory H. Canal
Stephen Mussmann
Arnav M. Das
...
Yinglun Zhu
Jeffrey Bilmes
S. Du
Kevin Jamieson
Robert D. Nowak
VLM
451
24
0
16 Jun 2023
PandaLM: An Automatic Evaluation Benchmark for LLM Instruction Tuning
  Optimization
PandaLM: An Automatic Evaluation Benchmark for LLM Instruction Tuning OptimizationInternational Conference on Learning Representations (ICLR), 2023
Yidong Wang
Zhuohao Yu
Zhengran Zeng
Linyi Yang
Cunxiang Wang
...
Yongfeng Zhang
Xingxu Xie
Wei Ye
Shi-Bo Zhang
Yue Zhang
ALMELM
471
332
0
08 Jun 2023
Flexible Distribution Alignment: Towards Long-tailed Semi-supervised
  Learning with Proper Calibration
Flexible Distribution Alignment: Towards Long-tailed Semi-supervised Learning with Proper CalibrationEuropean Conference on Computer Vision (ECCV), 2023
Emanuel Sanchez Aimar
Hannah Helgesen
Yonghao Xu
Marco Kuhlmann
Michael Felsberg
343
3
0
07 Jun 2023
CorrMatch: Label Propagation via Correlation Matching for
  Semi-Supervised Semantic Segmentation
CorrMatch: Label Propagation via Correlation Matching for Semi-Supervised Semantic SegmentationComputer Vision and Pattern Recognition (CVPR), 2023
Bo Sun
Yuqi Yang
Le Zhang
Ming-Ming Cheng
Qibin Hou
413
57
0
07 Jun 2023
Industrial Anomaly Detection and Localization Using Weakly-Supervised
  Residual Transformers
Industrial Anomaly Detection and Localization Using Weakly-Supervised Residual Transformers
Hanxi Li
Jing Wu
Lin Yuanbo Wu
Hao Chen
Deyin Liu
Mingwen Wang
Peng Wang
ViT
394
4
0
06 Jun 2023
Using Unreliable Pseudo-Labels for Label-Efficient Semantic Segmentation
Using Unreliable Pseudo-Labels for Label-Efficient Semantic SegmentationInternational Journal of Computer Vision (IJCV), 2023
Haochen Wang
Yuchao Wang
Yujun Shen
Junsong Fan
Yuxi Wang
Zhaoxiang Zhang
UQCV
242
13
0
04 Jun 2023
S$^2$ME: Spatial-Spectral Mutual Teaching and Ensemble Learning for
  Scribble-supervised Polyp Segmentation
S2^22ME: Spatial-Spectral Mutual Teaching and Ensemble Learning for Scribble-supervised Polyp SegmentationInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2023
An-Chi Wang
Mengya Xu
Yang Zhang
Mobarakol Islam
Hongliang Ren
253
27
0
01 Jun 2023
All Points Matter: Entropy-Regularized Distribution Alignment for
  Weakly-supervised 3D Segmentation
All Points Matter: Entropy-Regularized Distribution Alignment for Weakly-supervised 3D SegmentationNeural Information Processing Systems (NeurIPS), 2023
Liyao Tang
Zhe Chen
Shanshan Zhao
Chaoyue Wang
Dacheng Tao
268
19
0
25 May 2023
Imprecise Label Learning: A Unified Framework for Learning with Various
  Imprecise Label Configurations
Imprecise Label Learning: A Unified Framework for Learning with Various Imprecise Label ConfigurationsNeural Information Processing Systems (NeurIPS), 2023
Hao Chen
Ankit Shah
Yongfeng Zhang
R. Tao
Yidong Wang
Xingxu Xie
Masashi Sugiyama
Rita Singh
Bhiksha Raj
284
16
0
22 May 2023
Cold PAWS: Unsupervised class discovery and addressing the cold-start
  problem for semi-supervised learning
Cold PAWS: Unsupervised class discovery and addressing the cold-start problem for semi-supervised learning
Evelyn J. Mannix
H. Bondell
SSL
188
0
0
17 May 2023
Class-Distribution-Aware Pseudo Labeling for Semi-Supervised Multi-Label
  Learning
Class-Distribution-Aware Pseudo Labeling for Semi-Supervised Multi-Label LearningNeural Information Processing Systems (NeurIPS), 2023
Ming-Kun Xie
Jianxiong Xiao
Hao-Zhe Liu
Gang Niu
Masashi Sugiyama
Sheng-Jun Huang
275
32
0
04 May 2023
Bidirectional Copy-Paste for Semi-Supervised Medical Image Segmentation
Bidirectional Copy-Paste for Semi-Supervised Medical Image SegmentationComputer Vision and Pattern Recognition (CVPR), 2023
Yunhao Bai
Duowen Chen
Qingli Li
Wei Shen
Yan Wang
297
246
0
01 May 2023
SEAL: Simultaneous Label Hierarchy Exploration And Learning
SEAL: Simultaneous Label Hierarchy Exploration And Learning
Zhi-Hao Tan
Zihao Wang
Yifan Zhang
293
7
0
26 Apr 2023
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