Communities
Connect sessions
AI calendar
Organizations
Join Slack
Contact Sales
Search
Open menu
Home
Papers
2011.11183
Cited By
v1
v2 (latest)
CoMatch: Semi-supervised Learning with Contrastive Graph Regularization
IEEE International Conference on Computer Vision (ICCV), 2020
23 November 2020
Junnan Li
Caiming Xiong
Guosheng Lin
SSL
Re-assign community
ArXiv (abs)
PDF
HTML
Github (127★)
Papers citing
"CoMatch: Semi-supervised Learning with Contrastive Graph Regularization"
50 / 146 papers shown
Sampling Control for Imbalanced Calibration in Semi-Supervised Learning
Senmao Tian
Xiang Wei
Shunli Zhang
165
0
0
24 Nov 2025
Learning Robust Diffusion Models from Imprecise Supervision
Dong-Dong Wu
Jiacheng Cui
Wei Wang
Zhiqiang She
Masashi Sugiyama
DiffM
399
0
0
03 Oct 2025
An Adaptor for Triggering Semi-Supervised Learning to Out-of-Box Serve Deep Image Clustering
IEEE Transactions on Image Processing (IEEE TIP), 2025
Yue Duan
Lei Qi
Yinghuan Shi
Yang Gao
317
1
0
25 Sep 2025
Semi-Supervised Learning with Online Knowledge Distillation for Skin Lesion Classification
Siyamalan Manivannan
138
0
0
15 Aug 2025
A Hidden Stumbling Block in Generalized Category Discovery: Distracted Attention
Qiyu Xu
Zhanxuan Hu
Yu Duan
Ercheng Pei
Yonghang Tai
297
3
0
18 Jul 2025
Self-Reinforcing Prototype Evolution with Dual-Knowledge Cooperation for Semi-Supervised Lifelong Person Re-Identification
Kunlun Xu
Fan Zhuo
Jiangmeng Li
Xu Zou
Jiahuan Zhou
315
5
0
02 Jul 2025
Urban Incident Prediction with Graph Neural Networks: Integrating Government Ratings and Crowdsourced Reports
S. Balachandar
Shuvom Sadhuka
Emma Pierson
Emma Pierson
Nikhil Garg
AI4TS
322
1
0
10 Jun 2025
MultiMatch: Multihead Consistency Regularization Matching for Semi-Supervised Text Classification
Iustin Sîrbu
Robert-Adrian Popovici
Cornelia Caragea
Stefan Trausan-Matu
Traian Rebedea
353
2
0
09 Jun 2025
Mitigating Degree Bias Adaptively with Hard-to-Learn Nodes in Graph Contrastive Learning
Jingyu Hu
Hongbo Bo
Jun Hong
Xiaowei Liu
Weiru Liu
367
0
0
05 Jun 2025
SST: Self-training with Self-adaptive Thresholding for Semi-supervised Learning
Information Processing & Management (IPM), 2025
Shuai Zhao
Heyan Huang
Xinge Li
Xiaokang Chen
Rui Wang
261
5
0
31 May 2025
Diversify and Conquer: Open-set Disagreement for Robust Semi-supervised Learning with Outliers
IEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), 2025
Heejo Kong
Sung-Jin Kim
Gunho Jung
Seong-Whan Lee
288
3
0
30 May 2025
Open-Set Semi-Supervised Learning for Long-Tailed Medical Datasets
IEEE International Symposium on Biomedical Imaging (ISBI), 2025
Daniya Najiha Abdul Kareem
Jean Lahoud
Mustansar Fiaz
Amandeep Kumar
Hisham Cholakkal
OOD
452
0
0
20 May 2025
SIT-FER: Integration of Semantic-, Instance-, Text-level Information for Semi-supervised Facial Expression Recognition
Sixian Ding
Xu Jiang
Zhongjing Du
Jiaqi Cui
Xinyi Zeng
Yan Wang
266
0
0
24 Mar 2025
CustomKD: Customizing Large Vision Foundation for Edge Model Improvement via Knowledge Distillation
Computer Vision and Pattern Recognition (CVPR), 2025
Jungsoo Lee
Debasmit Das
Munawar Hayat
Sungha Choi
Kyuwoong Hwang
Fatih Porikli
VLM
388
7
0
23 Mar 2025
STiL: Semi-supervised Tabular-Image Learning for Comprehensive Task-Relevant Information Exploration in Multimodal Classification
Computer Vision and Pattern Recognition (CVPR), 2025
Siyi Du
Xinzhe Luo
D. O’Regan
Chen Qin
473
6
0
08 Mar 2025
Semi-Supervised 360 Layout Estimation with Panoramic Collaborative Perturbations
Junsong Zhang
Chunyu Lin
Zhijie Shen
Lang Nie
K. Liao
Yao Zhao
270
0
0
03 Mar 2025
Re-Evaluating the Impact of Unseen-Class Unlabeled Data on Semi-Supervised Learning Model
International Conference on Learning Representations (ICLR), 2025
Rundong He
Yicong Dong
Lanzhe Guo
Yilong Yin
Tailin Wu
388
1
0
02 Mar 2025
Set a Thief to Catch a Thief: Combating Label Noise through Noisy Meta Learning
Hanxuan Wang
Na Lu
Xueying Zhao
Yuxuan Yan
Kaipeng Ma
Kwoh Chee Keong
Gustavo Carneiro
NoLa
363
1
0
22 Feb 2025
Probability-density-aware Semi-supervised Learning
Shuyang Liu
Ruiqiu Zheng
Chunjiang Ge
Ke Li
Xing Sun
Zhou Yu
Shaohui Lin
354
0
0
08 Jan 2025
RegMixMatch: Optimizing Mixup Utilization in Semi-Supervised Learning
AAAI Conference on Artificial Intelligence (AAAI), 2024
Haorong Han
Jidong Yuan
Chixuan Wei
Zhongyang Yu
1.1K
6
0
14 Dec 2024
Judge Like a Real Doctor: Dual Teacher Sample Consistency Framework for Semi-supervised Medical Image Classification
IEEE Transactions on Emerging Topics in Computational Intelligence (IEEE TETCI), 2024
Zhang Qixiang
Yang Yuxiang
Zu Chen
Zhang Jianjia
Wu Xi
Zhou Jiliu
Wang Yan
324
3
0
05 Nov 2024
Bridging the Gaps: Utilizing Unlabeled Face Recognition Datasets to Boost Semi-Supervised Facial Expression Recognition
Jie Song
Mengqiao He
Jinhua Feng
Bo Shen
288
2
0
23 Oct 2024
Pseudo-label Refinement for Improving Self-Supervised Learning Systems
Zia-ur-Rehman
Arif Mahmood
Wenxiong Kang
296
5
0
18 Oct 2024
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
608
75
0
14 Oct 2024
DAdEE: Unsupervised Domain Adaptation in Early Exit PLMs
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2024
Divya J. Bajpai
M. Hanawal
259
3
0
06 Oct 2024
Towards the Mitigation of Confirmation Bias in Semi-supervised Learning: a Debiased Training Perspective
Yu Wang
Yuxuan Yin
Peng Li
276
2
0
26 Sep 2024
SCOMatch: Alleviating Overtrusting in Open-set Semi-supervised Learning
European Conference on Computer Vision (ECCV), 2024
Zerun Wang
Liuyu Xiang
Lang Huang
Jiafeng Mao
Ling Xiao
Toshihiko Yamasaki
306
6
0
26 Sep 2024
Improving 3D Semi-supervised Learning by Effectively Utilizing All Unlabelled Data
European Conference on Computer Vision (ECCV), 2024
Sneha Paul
Zachary Patterson
Nizar Bouguila
224
1
0
21 Sep 2024
A Unified Contrastive Loss for Self-Training
Aurélien Gauffre
Julien Horvat
Massih-Reza Amini
SSL
341
2
0
11 Sep 2024
Towards Modality-agnostic Label-efficient Segmentation with Entropy-Regularized Distribution Alignment
Liyao Tang
Zhe Chen
Shanshan Zhao
Chaoyue Wang
Dacheng Tao
343
2
0
29 Aug 2024
DPA: Dual Prototypes Alignment for Unsupervised Adaptation of Vision-Language Models
IEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2024
Eman Ali
Sathira Silva
Muhammad Haris Khan
VLM
366
7
0
16 Aug 2024
AllMatch: Exploiting All Unlabeled Data for Semi-Supervised Learning
Zhiyu Wu
Jinshi Cui
364
5
0
22 Jun 2024
Computation-Efficient Semi-Supervised Learning for ECG-based Cardiovascular Diseases Detection
Rushuang Zhou
Zijun Liu
Lei A. Clifton
David Clifton
Kannie W. Y. Chan
Yuan-Ting Zhang
Yining Dong
280
2
0
20 Jun 2024
From Obstacle to Opportunity: Enhancing Semi-supervised Learning with Synthetic Data
Zerun Wang
Jiafeng Mao
Liuyu Xiang
Toshihiko Yamasaki
264
0
0
27 May 2024
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
244
3
0
25 May 2024
Smooth Pseudo-Labeling
Nikolaos Karaliolios
Hervé Le Borgne
Florian Chabot
263
0
0
23 May 2024
Towards Graph Contrastive Learning: A Survey and Beyond
Wei Ju
Yifan Wang
Yifang Qin
Zhengyan Mao
Zhiping Xiao
...
Dongjie Wang
Qingqing Long
Siyu Yi
Xiao Luo
Ming Zhang
408
57
0
20 May 2024
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
287
2
0
10 May 2024
A Method of Moments Embedding Constraint and its Application to Semi-Supervised Learning
Michael Majurski
Sumeet Menon
Parniyan Farvardin
David Chapman
412
4
0
27 Apr 2024
VCC-INFUSE: Towards Accurate and Efficient Selection of Unlabeled Examples in Semi-supervised Learning
Shijie Fang
Qianhan Feng
Tong Lin
331
1
0
18 Apr 2024
InfoMatch: Entropy Neural Estimation for Semi-Supervised Image Classification
Qi Han
Zhibo Tian
Chengwei Xia
Kun Zhan
SSL
565
8
0
17 Apr 2024
Leak and Learn: An Attacker's Cookbook to Train Using Leaked Data from Federated Learning
Joshua C. Zhao
Ahaan Dabholkar
Atul Sharma
Saurabh Bagchi
FedML
228
6
0
26 Mar 2024
Learning from Reduced Labels for Long-Tailed Data
Meng Wei
Zhongnian Li
Yong Zhou
Xinzheng Xu
279
4
0
25 Mar 2024
CDMAD: Class-Distribution-Mismatch-Aware Debiasing for Class-Imbalanced Semi-Supervised Learning
Hyuck Lee
Heeyoung Kim
387
15
0
15 Mar 2024
BaCon: Boosting Imbalanced Semi-supervised Learning via Balanced Feature-Level Contrastive Learning
Qianhan Feng
Lujing Xie
Shijie Fang
Tong Lin
325
19
0
04 Mar 2024
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
592
1
0
18 Feb 2024
Uncertainty-aware Sampling for Long-tailed Semi-supervised Learning
Kuo Yang
Duo Li
Menghan Hu
Guangtao Zhai
Yunbo Wang
Xiao-Ping Zhang
230
0
0
09 Jan 2024
Debiased Learning for Remote Sensing Data
Chun-Hsiao Yeh
Xudong Wang
Stella X. Yu
Charles Hill
Zackery Steck
Scott Kangas
Aaron A. Reite
202
0
0
24 Dec 2023
Roll With the Punches: Expansion and Shrinkage of Soft Label Selection for Semi-supervised Fine-Grained Learning
Yue Duan
Zhen Zhao
Lei Qi
Luping Zhou
Lei Wang
Yinghuan Shi
267
11
0
19 Dec 2023
CLAF: Contrastive Learning with Augmented Features for Imbalanced Semi-Supervised Learning
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2023
Bowen Tao
Lan Li
Xin-Chun Li
De-Chuan Zhan
284
1
0
15 Dec 2023
1
2
3
Next
Page 1 of 3