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  4. Cited By
ReMixMatch: Semi-Supervised Learning with Distribution Alignment and
  Augmentation Anchoring

ReMixMatch: Semi-Supervised Learning with Distribution Alignment and Augmentation Anchoring

21 November 2019
David Berthelot
Nicholas Carlini
E. D. Cubuk
Alexey Kurakin
Kihyuk Sohn
Han Zhang
Colin Raffel
ArXivPDFHTML

Papers citing "ReMixMatch: Semi-Supervised Learning with Distribution Alignment and Augmentation Anchoring"

50 / 140 papers shown
Title
Pseudo-Label Quality Decoupling and Correction for Semi-Supervised Instance Segmentation
Pseudo-Label Quality Decoupling and Correction for Semi-Supervised Instance Segmentation
Jianghang Lin
Yilin Lu
Yunhang Shen
Chaoyang Zhu
Shengchuan Zhang
Liujuan Cao
Rongrong Ji
ISeg
43
0
0
16 May 2025
Semi-Supervised 360 Layout Estimation with Panoramic Collaborative Perturbations
Junsong Zhang
Chunyu Lin
Zhijie Shen
Lang Nie
K. Liao
Yao Zhao
35
0
0
03 Mar 2025
Probability-density-aware Semi-supervised Learning
Probability-density-aware Semi-supervised Learning
Shuyang Liu
Ruiqiu Zheng
Yunhang Shen
Ke Li
Xing Sun
Zhou Yu
Shaohui Lin
48
0
0
08 Jan 2025
RegMixMatch: Optimizing Mixup Utilization in Semi-Supervised Learning
RegMixMatch: Optimizing Mixup Utilization in Semi-Supervised Learning
Haorong Han
Jidong Yuan
Chixuan Wei
Zhongyang Yu
277
1
0
14 Dec 2024
GTPC-SSCD: Gate-guided Two-level Perturbation Consistency-based Semi-Supervised Change Detection
GTPC-SSCD: Gate-guided Two-level Perturbation Consistency-based Semi-Supervised Change Detection
Yan Xing
Qiáo Xu
Zongyu Guo
Rui Huang
Yuxiang Zhang
78
0
0
28 Nov 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
53
0
0
15 Oct 2024
Browsing without Third-Party Cookies: What Do You See?
Browsing without Third-Party Cookies: What Do You See?
Maxwell Lin
Shihan Lin
Helen Wu
Karen Wang
Xiaowei Yang
BDL
59
0
0
14 Oct 2024
Exploring Semi-Supervised Learning for Online Mapping
Exploring Semi-Supervised Learning for Online Mapping
Adam Lilja
Erik Wallin
Junsheng Fu
Lars Hammarstrand
SSL
59
1
0
14 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
47
1
0
25 Sep 2024
Improving Adversarial Robustness for 3D Point Cloud Recognition at
  Test-Time through Purified Self-Training
Improving Adversarial Robustness for 3D Point Cloud Recognition at Test-Time through Purified Self-Training
Jinpeng Lin
Xulei Yang
Tianrui Li
Xun Xu
3DPC
35
0
0
23 Sep 2024
A Review of Pseudo-Labeling for Computer Vision
A Review of Pseudo-Labeling for Computer Vision
Patrick Kage
Jay C. Rothenberger
Pavlos Andreadis
Dimitrios I. Diochnos
VLM
50
3
0
13 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
56
0
0
31 Jul 2024
AllMatch: Exploiting All Unlabeled Data for Semi-Supervised Learning
AllMatch: Exploiting All Unlabeled Data for Semi-Supervised Learning
Zhiyu Wu
Jinshi Cui
51
2
0
22 Jun 2024
EventZoom: A Progressive Approach to Event-Based Data Augmentation for Enhanced Neuromorphic Vision
EventZoom: A Progressive Approach to Event-Based Data Augmentation for Enhanced Neuromorphic Vision
Yiting Dong
Xiang He
Guobin Shen
Dongcheng Zhao
Yang Li
Yi Zeng
43
0
0
29 May 2024
Multi-Modal Data-Efficient 3D Scene Understanding for Autonomous Driving
Multi-Modal Data-Efficient 3D Scene Understanding for Autonomous Driving
Lingdong Kong
Xiang Xu
Jiawei Ren
Wenwei Zhang
Liang Pan
Kai-xiang Chen
Wei Tsang Ooi
Ziwei Liu
48
17
0
08 May 2024
Revisiting semi-supervised training objectives for differentiable
  particle filters
Revisiting semi-supervised training objectives for differentiable particle filters
Jiaxi Li
John-Joseph Brady
Xiongjie Chen
Yunpeng Li
28
1
0
02 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
48
2
0
01 May 2024
Semi-supervised Active Learning for Video Action Detection
Semi-supervised Active Learning for Video Action Detection
Aayush Singh
A. J. Rana
Akash Kumar
Shruti Vyas
Yogesh S Rawat
41
7
0
12 Dec 2023
SemiReward: A General Reward Model for Semi-supervised Learning
SemiReward: A General Reward Model for Semi-supervised Learning
Siyuan Li
Weiyang Jin
Zedong Wang
Fang Wu
Zicheng Liu
Cheng Tan
Stan Z. Li
43
9
0
04 Oct 2023
UGC: Unified GAN Compression for Efficient Image-to-Image Translation
UGC: Unified GAN Compression for Efficient Image-to-Image Translation
Yuxi Ren
Jie Wu
Peng Zhang
Manlin Zhang
Xuefeng Xiao
Qian He
Rui Wang
Min Zheng
Xin Pan
29
2
0
17 Sep 2023
MarginMatch: Improving Semi-Supervised Learning with Pseudo-Margins
MarginMatch: Improving Semi-Supervised Learning with Pseudo-Margins
Tiberiu Sosea
Cornelia Caragea
21
12
0
17 Aug 2023
SegMatch: A semi-supervised learning method for surgical instrument segmentation
SegMatch: A semi-supervised learning method for surgical instrument segmentation
Meng Wei
C. Budd
Luis C. García-Peraza-Herrera
R. Dorent
Miaojing Shi
Tom Kamiel Magda Vercauteren
28
5
0
09 Aug 2023
Class-Specific Distribution Alignment for Semi-Supervised Medical Image
  Classification
Class-Specific Distribution Alignment for Semi-Supervised Medical Image Classification
Zhongzheng Huang
Jiawei Wu
Tao Wang
Zuoyong Li
Anastasia Ioannou
OOD
64
5
0
29 Jul 2023
UP-DP: Unsupervised Prompt Learning for Data Pre-Selection with
  Vision-Language Models
UP-DP: Unsupervised Prompt Learning for Data Pre-Selection with Vision-Language Models
Xin Li
Sima Behpour
T. Doan
Wenbin He
Liangke Gou
Liu Ren
VLM
50
3
0
20 Jul 2023
Language-based Action Concept Spaces Improve Video Self-Supervised
  Learning
Language-based Action Concept Spaces Improve Video Self-Supervised Learning
Kanchana Ranasinghe
Michael S. Ryoo
SSL
VLM
53
12
0
20 Jul 2023
Dual-level Interaction for Domain Adaptive Semantic Segmentation
Dual-level Interaction for Domain Adaptive Semantic Segmentation
Dongyu Yao
Boheng Li
34
3
0
16 Jul 2023
Semi-supervised learning made simple with self-supervised clustering
Semi-supervised learning made simple with self-supervised clustering
Enrico Fini
Pietro Astolfi
Alahari Karteek
Xavier Alameda-Pineda
Julien Mairal
Moin Nabi
Elisa Ricci
SSL
44
26
0
13 Jun 2023
Rethinking Semi-supervised Learning with Language Models
Rethinking Semi-supervised Learning with Language Models
Zhengxiang Shi
Francesco Tonolini
Nikolaos Aletras
Emine Yilmaz
G. Kazai
Yunlong Jiao
37
18
0
22 May 2023
Class-Distribution-Aware Pseudo Labeling for Semi-Supervised Multi-Label
  Learning
Class-Distribution-Aware Pseudo Labeling for Semi-Supervised Multi-Label Learning
Ming-Kun Xie
Jianxiong Xiao
Hao-Zhe Liu
Gang Niu
Masashi Sugiyama
Sheng-Jun Huang
50
16
0
04 May 2023
High-Dimensional Bayesian Optimization via Semi-Supervised Learning with
  Optimized Unlabeled Data Sampling
High-Dimensional Bayesian Optimization via Semi-Supervised Learning with Optimized Unlabeled Data Sampling
Y. Yin
Yu Wang
Gang Xu
45
4
0
04 May 2023
SEAL: Simultaneous Label Hierarchy Exploration And Learning
SEAL: Simultaneous Label Hierarchy Exploration And Learning
Zhi-Hao Tan
Zihao Wang
Yifan Zhang
56
6
0
26 Apr 2023
ContraCluster: Learning to Classify without Labels by Contrastive
  Self-Supervision and Prototype-Based Semi-Supervision
ContraCluster: Learning to Classify without Labels by Contrastive Self-Supervision and Prototype-Based Semi-Supervision
Seongho Joe
Byoungjip Kim
Ho. Kang
Kyoungwon Park
Bogun Kim
Jaeseon Park
Joonseok Lee
Youngjune Gwon
SSL
26
1
0
19 Apr 2023
Two-shot Video Object Segmentation
Two-shot Video Object Segmentation
Kun Yan
Xiao Li
Fangyun Wei
Jinglu Wang
Chenbin Zhang
Ping Wang
Yan Lu
VOS
28
14
0
21 Mar 2023
Active Teacher for Semi-Supervised Object Detection
Active Teacher for Semi-Supervised Object Detection
Peng Mi
Jianghang Lin
Yiyi Zhou
Yunhang Shen
Gen Luo
Xiaoshuai Sun
Liujuan Cao
Rongrong Fu
Qiang Xu
Rongrong Ji
57
61
0
15 Mar 2023
InPL: Pseudo-labeling the Inliers First for Imbalanced Semi-supervised
  Learning
InPL: Pseudo-labeling the Inliers First for Imbalanced Semi-supervised Learning
Zhuliang Yu
Yin Li
Yong Jae Lee
27
10
0
13 Mar 2023
A State Augmentation based approach to Reinforcement Learning from Human
  Preferences
A State Augmentation based approach to Reinforcement Learning from Human Preferences
Mudit Verma
Subbarao Kambhampati
35
2
0
17 Feb 2023
Hard-aware Instance Adaptive Self-training for Unsupervised Cross-domain Semantic Segmentation
Hard-aware Instance Adaptive Self-training for Unsupervised Cross-domain Semantic Segmentation
Chuanglu Zhu
Kebin Liu
Wenqi Tang
Ke Mei
Jiaqi Zou
Tiejun Huang
57
1
0
14 Feb 2023
Consistency Regularisation in Varying Contexts and Feature Perturbations
  for Semi-Supervised Semantic Segmentation of Histology Images
Consistency Regularisation in Varying Contexts and Feature Perturbations for Semi-Supervised Semantic Segmentation of Histology Images
R. M. S. Bashir
Talha Qaiser
S. Raza
Nasir M. Rajpoot
38
13
0
30 Jan 2023
Semi-Supervised Learning with Pseudo-Negative Labels for Image
  Classification
Semi-Supervised Learning with Pseudo-Negative Labels for Image Classification
Hao Xu
Hui Xiao
Huazheng Hao
Li Dong
Xiaojie Qiu
Chengbin Peng
VLM
SSL
16
22
0
10 Jan 2023
A Survey of Mix-based Data Augmentation: Taxonomy, Methods,
  Applications, and Explainability
A Survey of Mix-based Data Augmentation: Taxonomy, Methods, Applications, and Explainability
Chengtai Cao
Fan Zhou
Yurou Dai
Jianping Wang
Kunpeng Zhang
AAML
31
28
0
21 Dec 2022
Boosting Semi-Supervised Learning with Contrastive Complementary
  Labeling
Boosting Semi-Supervised Learning with Contrastive Complementary Labeling
Qinyi Deng
Yong Guo
Zhibang Yang
Haolin Pan
Jian Chen
40
10
0
13 Dec 2022
A soft nearest-neighbor framework for continual semi-supervised learning
A soft nearest-neighbor framework for continual semi-supervised learning
Zhiqi Kang
Enrico Fini
Moin Nabi
Elisa Ricci
Alahari Karteek
SSL
BDL
CLL
44
17
0
09 Dec 2022
Rethinking Backdoor Data Poisoning Attacks in the Context of
  Semi-Supervised Learning
Rethinking Backdoor Data Poisoning Attacks in the Context of Semi-Supervised Learning
Marissa Connor
Vincent Emanuele
SILM
AAML
33
1
0
05 Dec 2022
Instance-specific and Model-adaptive Supervision for Semi-supervised
  Semantic Segmentation
Instance-specific and Model-adaptive Supervision for Semi-supervised Semantic Segmentation
Zhen Zhao
Sifan Long
Jimin Pi
Jingdong Wang
Luping Zhou
34
29
0
21 Nov 2022
SplitNet: Learnable Clean-Noisy Label Splitting for Learning with Noisy
  Labels
SplitNet: Learnable Clean-Noisy Label Splitting for Learning with Noisy Labels
Daehwan Kim
Kwang-seok Ryoo
Hansang Cho
Seung Wook Kim
NoLa
28
3
0
20 Nov 2022
An interpretable imbalanced semi-supervised deep learning framework for
  improving differential diagnosis of skin diseases
An interpretable imbalanced semi-supervised deep learning framework for improving differential diagnosis of skin diseases
Futian Weng
Yuanting Ma
J. Sun
Shijun Shan
Qiyuan Li
Jianping Zhu
Yang Wang
Yan Xu
42
0
0
20 Nov 2022
NorMatch: Matching Normalizing Flows with Discriminative Classifiers for
  Semi-Supervised Learning
NorMatch: Matching Normalizing Flows with Discriminative Classifiers for Semi-Supervised Learning
Zhongying Deng
Rihuan Ke
Carola-Bibiane Schonlieb
Angelica I Aviles-Rivero
27
0
0
17 Nov 2022
Continuous Soft Pseudo-Labeling in ASR
Continuous Soft Pseudo-Labeling in ASR
Tatiana Likhomanenko
R. Collobert
Navdeep Jaitly
Samy Bengio
VLM
29
3
0
11 Nov 2022
Improving Semi-supervised Deep Learning by using Automatic Thresholding
  to Deal with Out of Distribution Data for COVID-19 Detection using Chest
  X-ray Images
Improving Semi-supervised Deep Learning by using Automatic Thresholding to Deal with Out of Distribution Data for COVID-19 Detection using Chest X-ray Images
Isaac Benavides-Mata
Saul Calderon-Ramirez
19
3
0
03 Nov 2022
Provably Learning Diverse Features in Multi-View Data with Midpoint
  Mixup
Provably Learning Diverse Features in Multi-View Data with Midpoint Mixup
Muthuraman Chidambaram
Xiang Wang
Chenwei Wu
Rong Ge
MLT
23
8
0
24 Oct 2022
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