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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
A Unified Contrastive Loss for Self-Training
A Unified Contrastive Loss for Self-Training
Aurélien Gauffre
Julien Horvat
Massih-Reza Amini
SSL
316
2
0
11 Sep 2024
PEPL: Precision-Enhanced Pseudo-Labeling for Fine-Grained Image
  Classification in Semi-Supervised Learning
PEPL: Precision-Enhanced Pseudo-Labeling for Fine-Grained Image Classification in Semi-Supervised Learning
Bowen Tian
Songning Lai
Lujundong Li
Zhihao Shuai
Runwei Guan
Tian Wu
Yutao Yue
VLM
200
2
0
05 Sep 2024
Domain-Guided Weight Modulation for Semi-Supervised Domain
  Generalization
Domain-Guided Weight Modulation for Semi-Supervised Domain GeneralizationIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2024
Chamuditha Jayanaga Galappaththige
Zachary Izzo
Xilin He
Honglu Zhou
Muhammad Haris Khan
245
5
0
04 Sep 2024
Towards Modality-agnostic Label-efficient Segmentation with
  Entropy-Regularized Distribution Alignment
Towards Modality-agnostic Label-efficient Segmentation with Entropy-Regularized Distribution Alignment
Liyao Tang
Zhe Chen
Shanshan Zhao
Chaoyue Wang
Dacheng Tao
296
0
0
29 Aug 2024
Image-Feature Weak-to-Strong Consistency: An Enhanced Paradigm for
  Semi-Supervised Learning
Image-Feature Weak-to-Strong Consistency: An Enhanced Paradigm for Semi-Supervised LearningEuropean Conference on Computer Vision (ECCV), 2024
Zhiyu Wu
Jinshi Cui
235
1
0
08 Aug 2024
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
289
0
0
08 Aug 2024
Adaptive Mix for Semi-Supervised Medical Image Segmentation
Adaptive Mix for Semi-Supervised Medical Image Segmentation
Zhiqiang Shen
Peng Cao
Junming Su
Jinzhu Yang
Osmar R. Zaiane
414
0
0
31 Jul 2024
Dual-Decoupling Learning and Metric-Adaptive Thresholding for
  Semi-Supervised Multi-Label Learning
Dual-Decoupling Learning and Metric-Adaptive Thresholding for Semi-Supervised Multi-Label Learning
Jia-Hao Xiao
Ming-Kun Xie
Heng-Bo Fan
Gang Niu
Masashi Sugiyama
Sheng-Jun Huang
254
0
0
26 Jul 2024
ScholarChemQA: Unveiling the Power of Language Models in Chemical
  Research Question Answering
ScholarChemQA: Unveiling the Power of Language Models in Chemical Research Question Answering
Preslav Nakov
Tairan Wang
Taicheng Guo
Kehan Guo
Juexiao Zhou
Haoyang Li
Mingchen Zhuge
Jürgen Schmidhuber
Xin Gao
Xiangliang Zhang
272
6
0
24 Jul 2024
Is user feedback always informative? Retrieval Latent Defending for
  Semi-Supervised Domain Adaptation without Source Data
Is user feedback always informative? Retrieval Latent Defending for Semi-Supervised Domain Adaptation without Source Data
Junha Song
Tae Soo Kim
Junha Kim
Gunhee Nam
Thijs Kooi
Jaegul Choo
333
4
0
22 Jul 2024
CRMSP: A Semi-supervised Approach for Key Information Extraction with
  Class-Rebalancing and Merged Semantic Pseudo-Labeling
CRMSP: A Semi-supervised Approach for Key Information Extraction with Class-Rebalancing and Merged Semantic Pseudo-Labeling
Qi Zhang
Yonghong Song
Pengcheng Guo
Yangyang Hui
290
1
0
19 Jul 2024
ProSub: Probabilistic Open-Set Semi-Supervised Learning with Subspace-Based Out-of-Distribution Detection
ProSub: Probabilistic Open-Set Semi-Supervised Learning with Subspace-Based Out-of-Distribution Detection
Erik Wallin
Lennart Svensson
Fredrik Kahl
Lars Hammarstrand
OODD
240
4
0
16 Jul 2024
A Multi-Stage Framework for 3D Individual Tooth Segmentation in Dental
  CBCT
A Multi-Stage Framework for 3D Individual Tooth Segmentation in Dental CBCT
Chunshi Wang
Bin Zhao
Shuxue Ding
3DV
296
0
0
15 Jul 2024
Learning Unlabeled Clients Divergence via Anchor Model Aggregation for
  Federated Semi-supervised Learning
Learning Unlabeled Clients Divergence via Anchor Model Aggregation for Federated Semi-supervised Learning
Marawan Elbatel
Hualiang Wang
Jixiang Chen
Hao Wang
Xiaomeng Li
FedML
274
0
0
14 Jul 2024
Exploring Scalability of Self-Training for Open-Vocabulary Temporal
  Action Localization
Exploring Scalability of Self-Training for Open-Vocabulary Temporal Action Localization
Jeongseok Hyun
Su Ho Han
Hyolim Kang
Joon-Young Lee
Seon Joo Kim
VLM
269
4
0
09 Jul 2024
Learning Label Refinement and Threshold Adjustment for Imbalanced
  Semi-Supervised Learning
Learning Label Refinement and Threshold Adjustment for Imbalanced Semi-Supervised Learning
Zeju Li
Ying-Qiu Zheng
Chen Chen
Saâd Jbabdi
173
0
0
07 Jul 2024
Self Adaptive Threshold Pseudo-labeling and Unreliable Sample
  Contrastive Loss for Semi-supervised Image Classification
Self Adaptive Threshold Pseudo-labeling and Unreliable Sample Contrastive Loss for Semi-supervised Image Classification
Xuerong Zhang
Li Huang
Jing Lv
Ming Yang
181
5
0
04 Jul 2024
Robot Instance Segmentation with Few Annotations for Grasping
Robot Instance Segmentation with Few Annotations for Grasping
Moshe Kimhi
David Vainshtein
Chaim Baskin
Dotan Di Castro
428
6
0
01 Jul 2024
AstMatch: Adversarial Self-training Consistency Framework for
  Semi-Supervised Medical Image Segmentation
AstMatch: Adversarial Self-training Consistency Framework for Semi-Supervised Medical Image Segmentation
Guanghao Zhu
Jing Zhang
Juanxiu Liu
Xiaohui Du
Ruqian Hao
Yong Liu
Lin Liu
165
4
0
28 Jun 2024
AllMatch: Exploiting All Unlabeled Data for Semi-Supervised Learning
AllMatch: Exploiting All Unlabeled Data for Semi-Supervised Learning
Zhiyu Wu
Jinshi Cui
330
5
0
22 Jun 2024
LayerMatch: Do Pseudo-labels Benefit All Layers?
LayerMatch: Do Pseudo-labels Benefit All Layers?
Chaoqi Liang
Guanglei Yang
Lifeng Qiao
Zitong Huang
Hongliang Yan
Yunchao Wei
W. Zuo
368
1
0
20 Jun 2024
You can't handle the (dirty) truth: Data-centric insights improve
  pseudo-labeling
You can't handle the (dirty) truth: Data-centric insights improve pseudo-labeling
Nabeel Seedat
Nicolas Huynh
F. Imrie
Mihaela van der Schaar
230
5
0
19 Jun 2024
Boosting Consistency in Dual Training for Long-Tailed Semi-Supervised
  Learning
Boosting Consistency in Dual Training for Long-Tailed Semi-Supervised Learning
Kai Gan
Tong Wei
Min-Ling Zhang
275
1
0
19 Jun 2024
Unveiling the Dynamics of Information Interplay in Supervised Learning
Unveiling the Dynamics of Information Interplay in Supervised Learning
Kun Song
Zhiquan Tan
Bochao Zou
Huimin Ma
Weiran Huang
228
3
0
06 Jun 2024
Generalized Semi-Supervised Learning via Self-Supervised Feature
  Adaptation
Generalized Semi-Supervised Learning via Self-Supervised Feature Adaptation
Jiachen Liang
Ruibing Hou
Hong Chang
Bingpeng Ma
Shiguang Shan
Xilin Chen
292
6
0
31 May 2024
Estimating before Debiasing: A Bayesian Approach to Detaching Prior Bias
  in Federated Semi-Supervised Learning
Estimating before Debiasing: A Bayesian Approach to Detaching Prior Bias in Federated Semi-Supervised Learning
Guogang Zhu
Xuefeng Liu
Xinghao Wu
Shaojie Tang
Chao Tang
Jianwei Niu
Hao Su
FedML
344
3
0
30 May 2024
Consistency Regularisation for Unsupervised Domain Adaptation in
  Monocular Depth Estimation
Consistency Regularisation for Unsupervised Domain Adaptation in Monocular Depth Estimation
Amir El-Ghoussani
Julia Hornauer
Gustavo Carneiro
Vasileios Belagiannis
MDE
267
1
0
27 May 2024
From Obstacle to Opportunity: Enhancing Semi-supervised Learning with
  Synthetic Data
From Obstacle to Opportunity: Enhancing Semi-supervised Learning with Synthetic Data
Zerun Wang
Jiafeng Mao
Liuyu Xiang
Toshihiko Yamasaki
244
0
0
27 May 2024
Diverse Teacher-Students for Deep Safe Semi-Supervised Learning under
  Class Mismatch
Diverse Teacher-Students for Deep Safe Semi-Supervised Learning under Class Mismatch
Qikai Wang
Rundong He
Yongshun Gong
Chunxiao Ren
Hao Sun
Xiaoshui Huang
Yilong Yin
217
2
0
25 May 2024
SIAVC: Semi-Supervised Framework for Industrial Accident Video
  Classification
SIAVC: Semi-Supervised Framework for Industrial Accident Video Classification
Zuoyong Li
Qinghua Lin
Haoyi Fan
Tiesong Zhao
David Zhang
276
5
0
23 May 2024
Erasing the Bias: Fine-Tuning Foundation Models for Semi-Supervised
  Learning
Erasing the Bias: Fine-Tuning Foundation Models for Semi-Supervised Learning
Kai Gan
Tong Wei
251
22
0
20 May 2024
Robust Semi-supervised Learning by Wisely Leveraging Open-set Data
Robust Semi-supervised Learning by Wisely Leveraging Open-set Data
Yang Yang
Nan Jiang
Yi Tian Xu
De-Chuan Zhan
300
27
0
11 May 2024
MaskMatch: Boosting Semi-Supervised Learning Through Mask
  Autoencoder-Driven Feature Learning
MaskMatch: Boosting Semi-Supervised Learning Through Mask Autoencoder-Driven Feature Learning
Wenjin Zhang
Keyi Li
Sen Yang
Chenyang Gao
Wanzhao Yang
Sifan Yuan
I. Marsic
254
2
0
10 May 2024
CrossMatch: Enhance Semi-Supervised Medical Image Segmentation with
  Perturbation Strategies and Knowledge Distillation
CrossMatch: Enhance Semi-Supervised Medical Image Segmentation with Perturbation Strategies and Knowledge Distillation
Bin Zhao
Chunshi Wang
Shuxue Ding
208
11
0
01 May 2024
A Method of Moments Embedding Constraint and its Application to
  Semi-Supervised Learning
A Method of Moments Embedding Constraint and its Application to Semi-Supervised Learning
Michael Majurski
Sumeet Menon
Parniyan Farvardin
David Chapman
304
4
0
27 Apr 2024
InfoMatch: Entropy Neural Estimation for Semi-Supervised Image
  Classification
InfoMatch: Entropy Neural Estimation for Semi-Supervised Image Classification
Qi Han
Zhibo Tian
Chengwei Xia
Kun Zhan
SSL
453
8
0
17 Apr 2024
A Cyber Manufacturing IoT System for Adaptive Machine Learning Model
  Deployment by Interactive Causality Enabled Self-Labeling
A Cyber Manufacturing IoT System for Adaptive Machine Learning Model Deployment by Interactive Causality Enabled Self-Labeling
Yutian Ren
Yuqi He
Xuyin Zhang
A. Yen
G. P. Li
206
0
0
09 Apr 2024
Self-Labeling in Multivariate Causality and Quantification for Adaptive
  Machine Learning
Self-Labeling in Multivariate Causality and Quantification for Adaptive Machine Learning
Yutian Ren
A. Yen
G. P. Li
CML
286
0
0
08 Apr 2024
BEM: Balanced and Entropy-based Mix for Long-Tailed Semi-Supervised
  Learning
BEM: Balanced and Entropy-based Mix for Long-Tailed Semi-Supervised Learning
Hongwei Zheng
Linyuan Zhou
Han Li
Jinming Su
Xiaoming Wei
Xiaoming Xu
218
9
0
01 Apr 2024
A Channel-ensemble Approach: Unbiased and Low-variance Pseudo-labels is
  Critical for Semi-supervised Classification
A Channel-ensemble Approach: Unbiased and Low-variance Pseudo-labels is Critical for Semi-supervised Classification
Jiaqi Wu
Junbiao Pang
Baochang Zhang
Qingming Huang
219
2
0
27 Mar 2024
Do not trust what you trust: Miscalibration in Semi-supervised Learning
Do not trust what you trust: Miscalibration in Semi-supervised Learning
Shambhavi Mishra
Balamurali Murugesan
Ismail Ben Ayed
M. Pedersoli
Jose Dolz
234
3
0
22 Mar 2024
Exploring Facial Expression Recognition through Semi-Supervised
  Pretraining and Temporal Modeling
Exploring Facial Expression Recognition through Semi-Supervised Pretraining and Temporal Modeling
Jun-chen Yu
Zhihong Wei
Zhongpeng Cai
Gongpeng Zhao
Zerui Zhang
Yongqi Wang
Guochen Xie
Jichao Zhu
Wangyuan Zhu
CVBM
306
14
0
18 Mar 2024
Towards Generalizing to Unseen Domains with Few Labels
Towards Generalizing to Unseen Domains with Few LabelsComputer Vision and Pattern Recognition (CVPR), 2024
Chamuditha Jayanga Galappaththige
Sanoojan Baliah
Malitha Gunawardhana
Muhammad Haris Khan
317
8
0
18 Mar 2024
Self-supervised co-salient object detection via feature correspondence
  at multiple scales
Self-supervised co-salient object detection via feature correspondence at multiple scales
Souradeep Chakraborty
Dimitris Samaras
313
8
0
17 Mar 2024
CDMAD: Class-Distribution-Mismatch-Aware Debiasing for Class-Imbalanced
  Semi-Supervised Learning
CDMAD: Class-Distribution-Mismatch-Aware Debiasing for Class-Imbalanced Semi-Supervised Learning
Hyuck Lee
Heeyoung Kim
338
11
0
15 Mar 2024
Incorporating Improved Sinusoidal Threshold-based Semi-supervised Method
  and Diffusion Models for Osteoporosis Diagnosis
Incorporating Improved Sinusoidal Threshold-based Semi-supervised Method and Diffusion Models for Osteoporosis Diagnosis
Wenchi Ke
DiffMMedIm
74
2
0
11 Mar 2024
Towards the Uncharted: Density-Descending Feature Perturbation for
  Semi-supervised Semantic Segmentation
Towards the Uncharted: Density-Descending Feature Perturbation for Semi-supervised Semantic SegmentationComputer Vision and Pattern Recognition (CVPR), 2024
Xiaoyang Wang
Yuxi Liu
Limin Yu
Yao-Min Zhao
Jimin Xiao
AAML
314
30
0
11 Mar 2024
Pseudo-Labeling and Contextual Curriculum Learning for Online Grasp
  Learning in Robotic Bin Picking
Pseudo-Labeling and Contextual Curriculum Learning for Online Grasp Learning in Robotic Bin Picking
Huy Le
Philipp Schillinger
Miroslav Gabriel
Alexander Qualmann
Ngo Anh Vien
204
0
0
04 Mar 2024
Towards Calibrated Deep Clustering Network
Towards Calibrated Deep Clustering Network
Yuheng Jia
Jianhong Cheng
Hui Liu
Junhui Hou
UQCV
521
3
0
04 Mar 2024
PLReMix: Combating Noisy Labels with Pseudo-Label Relaxed Contrastive
  Representation Learning
PLReMix: Combating Noisy Labels with Pseudo-Label Relaxed Contrastive Representation Learning
Xiaoyu Liu
Beitong Zhou
Cheng Cheng
238
6
0
27 Feb 2024
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