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Contrastive Regularization for Semi-Supervised Learning
v1v2 (latest)

Contrastive Regularization for Semi-Supervised Learning

17 January 2022
Doyup Lee
Sungwoong Kim
Ildoo Kim
Yeongjae Cheon
Minsu Cho
Wook-Shin Han
    SSL
ArXiv (abs)PDFHTML

Papers citing "Contrastive Regularization for Semi-Supervised Learning"

23 / 23 papers shown
Predicting butterfly species presence from satellite imagery using soft contrastive regularisation
Predicting butterfly species presence from satellite imagery using soft contrastive regularisation
Thijs L van der Plas
Stephen Law
Michael JO Pocock
213
0
0
14 May 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
338
0
0
26 Mar 2025
Investigating the Impact of Semi-Supervised Methods with Data
  Augmentation on Offensive Language Detection in Romanian Language
Investigating the Impact of Semi-Supervised Methods with Data Augmentation on Offensive Language Detection in Romanian LanguageInternational Conference on Knowledge-Based Intelligent Information & Engineering Systems (KES), 2024
Elena Beatrice Nicola
Dumitru-Clementin Cercel
Florin-Catalin Pop
334
1
0
29 Jul 2024
Smooth Pseudo-Labeling
Smooth Pseudo-Labeling
Nikolaos Karaliolios
Hervé Le Borgne
Florian Chabot
260
0
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
279
24
0
20 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
412
4
0
27 Apr 2024
Robust Semi-Supervised Learning for Self-learning Open-World Classes
Robust Semi-Supervised Learning for Self-learning Open-World ClassesIndustrial Conference on Data Mining (IDM), 2023
Wenjuan Xi
Xin Song
Weili Guo
Yang Yang
314
17
0
15 Jan 2024
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
272
21
0
29 Oct 2023
DualMatch: Robust Semi-Supervised Learning with Dual-Level Interaction
DualMatch: Robust Semi-Supervised Learning with Dual-Level Interaction
Cong Wang
Xiaofeng Cao
Lanzhe Guo
Zenglin Shi
235
5
0
25 Oct 2023
Rethinking Scale Imbalance in Semi-supervised Object Detection for
  Aerial Images
Rethinking Scale Imbalance in Semi-supervised Object Detection for Aerial Images
Ruixiang Zhang
Chang Xu
Fang Xu
Wen Yang
Guangjun He
Huai Yu
Gui-Song Xia
284
3
0
23 Oct 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
325
0
0
29 Jul 2023
Combating Data Imbalances in Federated Semi-supervised Learning with
  Dual Regulators
Combating Data Imbalances in Federated Semi-supervised Learning with Dual RegulatorsAAAI Conference on Artificial Intelligence (AAAI), 2023
Sikai Bai
Shuaicheng Li
Weiming Zhuang
Jie Zhang
Song Guo
Kunlin Yang
Jun Hou
Shuai Zhang
Junyu Gao
Shuai Yi
FedML
351
18
0
11 Jul 2023
SPLAL: Similarity-based pseudo-labeling with alignment loss for
  semi-supervised medical image classification
SPLAL: Similarity-based pseudo-labeling with alignment loss for semi-supervised medical image classificationBiomedical Signal Processing and Control (BSPC), 2023
Md Junaid Mahmood
Pranaw Raj
Divyansh Agarwal
S. Kumari
Pravendra Singh
333
16
0
10 Jul 2023
Rethinking Weak Supervision in Helping Contrastive Learning
Rethinking Weak Supervision in Helping Contrastive LearningInternational Conference on Machine Learning (ICML), 2023
Jingyi Cui
Weiran Huang
Yifei Wang
Yisen Wang
NoLaSSL
325
19
0
07 Jun 2023
Scaling Up Semi-supervised Learning with Unconstrained Unlabelled Data
Scaling Up Semi-supervised Learning with Unconstrained Unlabelled DataAAAI Conference on Artificial Intelligence (AAAI), 2023
Shuvendu Roy
Ali Etemad
SSL
197
6
0
02 Jun 2023
Towards Unbiased Training in Federated Open-world Semi-supervised
  Learning
Towards Unbiased Training in Federated Open-world Semi-supervised LearningInternational Conference on Machine Learning (ICML), 2023
Jie Zhang
Xiaosong Ma
Song Guo
Wenchao Xu
FedML
258
12
0
01 May 2023
Boosting Semi-Supervised Learning by Exploiting All Unlabeled Data
Boosting Semi-Supervised Learning by Exploiting All Unlabeled DataComputer Vision and Pattern Recognition (CVPR), 2023
Yuhao Chen
X. Tan
Borui Zhao
Zhaowei Chen
Renjie Song
Jiajun Liang
Xuequan Lu
252
63
0
20 Mar 2023
Active Semi-Supervised Learning by Exploring Per-Sample Uncertainty and
  Consistency
Active Semi-Supervised Learning by Exploring Per-Sample Uncertainty and Consistency
Jae-Kwang Lim
Jongkeun Na
Nojun Kwak
315
3
0
15 Mar 2023
The Trade-off between Universality and Label Efficiency of
  Representations from Contrastive Learning
The Trade-off between Universality and Label Efficiency of Representations from Contrastive LearningInternational Conference on Learning Representations (ICLR), 2023
Zhenmei Shi
Jiefeng Chen
Kunyang Li
Jayaram Raghuram
Xi Wu
Yingyu Liang
S. Jha
SSL
240
28
0
28 Feb 2023
ContrasInver: Ultra-Sparse Label Semi-supervised Regression for
  Multi-dimensional Seismic Inversion
ContrasInver: Ultra-Sparse Label Semi-supervised Regression for Multi-dimensional Seismic InversionIEEE Transactions on Geoscience and Remote Sensing (TGRS), 2023
Yimin Dou
Kewen Li
Wenjun Lv
Timing Li
Hongjie Duan
Yuan Xiao
363
5
0
13 Feb 2023
I2CR: Improving Noise Robustness on Keyword Spotting Using Inter-Intra
  Contrastive Regularization
I2CR: Improving Noise Robustness on Keyword Spotting Using Inter-Intra Contrastive RegularizationAsia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC), 2022
Dianwen Ng
J. Yip
Tanmay Surana
Zhao Yang
Chong Zhang
Yukun Ma
Chongjia Ni
Chng Eng Siong
B. Ma
252
10
0
14 Sep 2022
Transformer-CNN Cohort: Semi-supervised Semantic Segmentation by the
  Best of Both Students
Transformer-CNN Cohort: Semi-supervised Semantic Segmentation by the Best of Both StudentsIEEE International Conference on Robotics and Automation (ICRA), 2022
Xueye Zheng
Yuan Luo
Hao Wang
Chong Fu
Lin Wang
ViT
305
24
0
06 Sep 2022
ConMatch: Semi-Supervised Learning with Confidence-Guided Consistency
  Regularization
ConMatch: Semi-Supervised Learning with Confidence-Guided Consistency RegularizationEuropean Conference on Computer Vision (ECCV), 2022
Jiwon Kim
Youngjo Min
Daehwan Kim
Gyuseong Lee
Junyoung Seo
Kwang-seok Ryoo
Seung Wook Kim
290
65
0
18 Aug 2022
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