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SoftMatch: Addressing the Quantity-Quality Trade-off in Semi-supervised
  Learning

SoftMatch: Addressing the Quantity-Quality Trade-off in Semi-supervised Learning

26 January 2023
Hao Chen
R. Tao
Yue Fan
Yidong Wang
Jindong Wang
Bernt Schiele
Xingxu Xie
Bhiksha Raj
Marios Savvides
ArXivPDFHTML

Papers citing "SoftMatch: Addressing the Quantity-Quality Trade-off in Semi-supervised Learning"

50 / 83 papers shown
Title
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
X. Li
Weili Guan
Liqiang Nie
Xinyang Chen
VLM
35
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
36
0
0
16 Apr 2025
SemiISP/SemiIE: Semi-Supervised Image Signal Processor and Image Enhancement Leveraging One-to-Many Mapping sRGB-to-RAW
SemiISP/SemiIE: Semi-Supervised Image Signal Processor and Image Enhancement Leveraging One-to-Many Mapping sRGB-to-RAW
Masakazu Yoshimura
Junji Otsuka
Radu Berdan
Takeshi Ohashi
35
0
0
03 Apr 2025
CustomKD: Customizing Large Vision Foundation for Edge Model Improvement via Knowledge Distillation
CustomKD: Customizing Large Vision Foundation for Edge Model Improvement via Knowledge Distillation
Jungsoo Lee
Debasmit Das
Munawar Hayat
Sungha Choi
Kyuwoong Hwang
Fatih Porikli
VLM
58
0
0
23 Mar 2025
MOS: Modeling Object-Scene Associations in Generalized Category Discovery
MOS: Modeling Object-Scene Associations in Generalized Category Discovery
Zhengyuan Peng
Jinpeng Ma
Zhimin Sun
Ran Yi
Haichuan Song
Xin Tan
Lizhuang Ma
45
0
0
15 Mar 2025
Revisiting semi-supervised learning in the era of foundation models
Ping Zhang
Zheda Mai
Quang-Huy Nguyen
Wei-Lun Chao
48
0
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 Classification
Siyi Du
Xinzhe Luo
D. O’Regan
Chen Qin
62
0
0
08 Mar 2025
CGMatch: A Different Perspective of Semi-supervised Learning
Bo Cheng
Jueqing Lu
Yuan Tian
Haifeng Zhao
Yi-Ju Chang
Lan Du
36
0
0
04 Mar 2025
Re-Evaluating the Impact of Unseen-Class Unlabeled Data on Semi-Supervised Learning Model
Rundong He
Yicong Dong
Lanzhe Guo
Yilong Yin
Tailin Wu
24
0
0
02 Mar 2025
(FL)$^2$: Overcoming Few Labels in Federated Semi-Supervised Learning
(FL)2^22: Overcoming Few Labels in Federated Semi-Supervised Learning
Seungjoo Lee
Thanh-Long V. Le
Jaemin Shin
Sung-Ju Lee
FedML
23
1
0
30 Oct 2024
RankUp: Boosting Semi-Supervised Regression with an Auxiliary Ranking
  Classifier
RankUp: Boosting Semi-Supervised Regression with an Auxiliary Ranking Classifier
Pin-Yen Huang
Szu-Wei Fu
Yu Tsao
27
0
0
29 Oct 2024
Towards Understanding Why FixMatch Generalizes Better Than Supervised Learning
Towards Understanding Why FixMatch Generalizes Better Than Supervised Learning
Jingyang Li
Jiachun Pan
Vincent Y. F. Tan
Kim-Chuan Toh
Pan Zhou
AAML
MLT
31
0
0
15 Oct 2024
Continuous Contrastive Learning for Long-Tailed Semi-Supervised
  Recognition
Continuous Contrastive Learning for Long-Tailed Semi-Supervised Recognition
Zi-Hao Zhou
Siyuan Fang
Zi-Jing Zhou
Tong Wei
Yuanyu Wan
Min-Ling Zhang
18
1
0
08 Oct 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
30
0
0
25 Sep 2024
Improving 3D Semi-supervised Learning by Effectively Utilizing All
  Unlabelled Data
Improving 3D Semi-supervised Learning by Effectively Utilizing All Unlabelled Data
Sneha Paul
Zachary Patterson
Nizar Bouguila
16
0
0
21 Sep 2024
A Unified Contrastive Loss for Self-Training
A Unified Contrastive Loss for Self-Training
Aurélien Gauffre
Julien Horvat
Massih-Reza Amini
SSL
16
0
0
11 Sep 2024
CRADLE-VAE: Enhancing Single-Cell Gene Perturbation Modeling with
  Counterfactual Reasoning-based Artifact Disentanglement
CRADLE-VAE: Enhancing Single-Cell Gene Perturbation Modeling with Counterfactual Reasoning-based Artifact Disentanglement
Seungheun Baek
Soyon Park
Y. T. Chok
Junhyun Lee
Jueon Park
Mogan Gim
Jaewoo Kang
CML
30
1
0
09 Sep 2024
Domain-Guided Weight Modulation for Semi-Supervised Domain
  Generalization
Domain-Guided Weight Modulation for Semi-Supervised Domain Generalization
Chamuditha Jayanaga Galappaththige
Zachary Izzo
Xilin He
Honglu Zhou
Muhammad Haris Khan
14
3
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
24
0
0
29 Aug 2024
CamoTeacher: Dual-Rotation Consistency Learning for Semi-Supervised
  Camouflaged Object Detection
CamoTeacher: Dual-Rotation Consistency Learning for Semi-Supervised Camouflaged Object Detection
Xunfa Lai
Zhiyu Yang
Jie Hu
Shengchuan Zhang
Liujuan Cao
Guannan Jiang
Zhiyu Wang
Songan Zhang
Rongrong Ji
24
3
0
15 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 Learning
Zhiyu Wu
Jinshi Cui
17
0
0
08 Aug 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
Xiuying Chen
Tairan Wang
Taicheng Guo
Kehan Guo
Juexiao Zhou
Haoyang Li
Mingchen Zhuge
Jürgen Schmidhuber
Xin Gao
Xiangliang Zhang
24
2
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
45
1
0
22 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
48
0
0
14 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
27
0
0
07 Jul 2024
Foster Adaptivity and Balance in Learning with Noisy Labels
Foster Adaptivity and Balance in Learning with Noisy Labels
Mengmeng Sheng
Zeren Sun
Tao Chen
Shuchao Pang
Yucheng Wang
Yazhou Yao
23
2
0
03 Jul 2024
Depth-Guided Semi-Supervised Instance Segmentation
Depth-Guided Semi-Supervised Instance Segmentation
Xin Chen
Jie Hu
Xiawu Zheng
Jianghang Lin
Liujuan Cao
Rongrong Ji
ISeg
3DV
16
1
0
25 Jun 2024
AllMatch: Exploiting All Unlabeled Data for Semi-Supervised Learning
AllMatch: Exploiting All Unlabeled Data for Semi-Supervised Learning
Zhiyu Wu
Jinshi Cui
21
1
0
22 Jun 2024
Computation-Efficient Semi-Supervised Learning for ECG-based
  Cardiovascular Diseases Detection
Computation-Efficient Semi-Supervised Learning for ECG-based Cardiovascular Diseases Detection
Rushuang Zhou
Zijun Liu
Lei A. Clifton
David A. Clifton
Kannie W. Y. Chan
Yuan-Ting Zhang
Yining Dong
28
0
0
20 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
36
0
0
20 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
27
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
30
1
0
06 Jun 2024
SAM as the Guide: Mastering Pseudo-Label Refinement in Semi-Supervised
  Referring Expression Segmentation
SAM as the Guide: Mastering Pseudo-Label Refinement in Semi-Supervised Referring Expression Segmentation
Danni Yang
Jiayi Ji
Yiwei Ma
Tianyu Guo
Haowei Wang
Xiaoshuai Sun
Rongrong Ji
ISeg
VLM
25
5
0
03 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
14
4
0
31 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
16
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
34
10
0
20 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
28
1
0
10 May 2024
Boosting Single Positive Multi-label Classification with Generalized
  Robust Loss
Boosting Single Positive Multi-label Classification with Generalized Robust Loss
Yanxi Chen
Chunxiao Li
Xinyang Dai
Jinhuan Li
Weiyu Sun
Yiming Wang
Renyuan Zhang
Tinghe Zhang
Bo Wang
32
0
0
06 May 2024
VCC-INFUSE: Towards Accurate and Efficient Selection of Unlabeled
  Examples in Semi-supervised Learning
VCC-INFUSE: Towards Accurate and Efficient Selection of Unlabeled Examples in Semi-supervised Learning
Shijie Fang
Qianhan Feng
Tong Lin
23
0
0
18 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
16
5
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
29
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
35
0
0
08 Apr 2024
Noisy Label Processing for Classification: A Survey
Noisy Label Processing for Classification: A Survey
Mengting Li
Chuang Zhu
NoLa
30
0
0
05 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
19
4
0
01 Apr 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
29
1
0
22 Mar 2024
DreamDA: Generative Data Augmentation with Diffusion Models
DreamDA: Generative Data Augmentation with Diffusion Models
Yunxiang Fu
Chaoqi Chen
Yu Qiao
Yizhou Yu
VLM
DiffM
19
12
0
19 Mar 2024
Towards Generalizing to Unseen Domains with Few Labels
Towards Generalizing to Unseen Domains with Few Labels
Chamuditha Jayanga Galappaththige
Sanoojan Baliah
Malitha Gunawardhana
Muhammad Haris Khan
29
3
0
18 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
18
1
0
15 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 Segmentation
Xiaoyang Wang
H. Bai
Limin Yu
Yao-Min Zhao
Jimin Xiao
AAML
40
6
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
19
0
0
04 Mar 2024
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