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FixMatch: Simplifying Semi-Supervised Learning with Consistency and
  Confidence

FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence

21 January 2020
Kihyuk Sohn
David Berthelot
Chun-Liang Li
Zizhao Zhang
Nicholas Carlini
E. D. Cubuk
Alexey Kurakin
Han Zhang
Colin Raffel
    AAML
ArXivPDFHTML

Papers citing "FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence"

50 / 493 papers shown
Title
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
40
1
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
38
0
0
15 Jul 2024
Deep Online Probability Aggregation Clustering
Deep Online Probability Aggregation Clustering
Yuxuan Yan
Na Lu
Ruofan Yan
29
1
0
07 Jul 2024
Multi-level Reliable Guidance for Unpaired Multi-view Clustering
Multi-level Reliable Guidance for Unpaired Multi-view Clustering
Like Xin
Wanqi Yang
Lei Wang
Ming Yang
40
0
0
01 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
53
2
0
01 Jul 2024
Semi-supervised Concept Bottleneck Models
Semi-supervised Concept Bottleneck Models
Lijie Hu
Tianhao Huang
Huanyi Xie
Chenyang Ren
Zhengyu Hu
Lu Yu
Lu Yu
Ping Ma
Di Wang
49
4
0
27 Jun 2024
The Balanced-Pairwise-Affinities Feature Transform
The Balanced-Pairwise-Affinities Feature Transform
Daniel Shalam
Simon Korman
33
0
0
25 Jun 2024
WARP: On the Benefits of Weight Averaged Rewarded Policies
WARP: On the Benefits of Weight Averaged Rewarded Policies
Alexandre Ramé
Johan Ferret
Nino Vieillard
Robert Dadashi
Léonard Hussenot
Pierre-Louis Cedoz
Pier Giuseppe Sessa
Sertan Girgin
Arthur Douillard
Olivier Bachem
54
13
0
24 Jun 2024
AllMatch: Exploiting All Unlabeled Data for Semi-Supervised Learning
AllMatch: Exploiting All Unlabeled Data for Semi-Supervised Learning
Zhiyu Wu
Jinshi Cui
36
2
0
22 Jun 2024
DLP: towards active defense against backdoor attacks with decoupled
  learning process
DLP: towards active defense against backdoor attacks with decoupled learning process
Zonghao Ying
Bin Wu
AAML
44
6
0
18 Jun 2024
Retraining with Predicted Hard Labels Provably Increases Model Accuracy
Retraining with Predicted Hard Labels Provably Increases Model Accuracy
Rudrajit Das
Inderjit S Dhillon
Alessandro Epasto
Adel Javanmard
Jieming Mao
Vahab Mirrokni
Sujay Sanghavi
Peilin Zhong
46
1
0
17 Jun 2024
Blurry-Consistency Segmentation Framework with Selective Stacking on
  Differential Interference Contrast 3D Breast Cancer Spheroid
Blurry-Consistency Segmentation Framework with Selective Stacking on Differential Interference Contrast 3D Breast Cancer Spheroid
Thanh-Huy Nguyen
Thi Kim Ngan Ngo
Mai-Anh Vu
Ting-Yuan Tu
38
8
0
08 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
19
4
0
31 May 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-Yu He
Guobin Shen
Dongcheng Zhao
Yang Li
Yi Zeng
35
0
0
29 May 2024
A Label Propagation Strategy for CutMix in Multi-Label Remote Sensing Image Classification
A Label Propagation Strategy for CutMix in Multi-Label Remote Sensing Image Classification
Tom Burgert
Tim Siebert
Kai Norman Clasen
Begum Demir
Begüm Demir
37
1
0
22 May 2024
Reinforcement Learning-Guided Semi-Supervised Learning
Reinforcement Learning-Guided Semi-Supervised Learning
Marzi Heidari
Hanping Zhang
Yuhong Guo
OffRL
29
0
0
02 May 2024
Reliable Student: Addressing Noise in Semi-Supervised 3D Object
  Detection
Reliable Student: Addressing Noise in Semi-Supervised 3D Object Detection
Farzad Nozarian
Shashank Agarwal
Farzaneh Rezaeianaran
Danish Shahzad
Atanas Poibrenski
Christian Müller
P. Slusallek
NoLa
42
3
0
27 Apr 2024
PV-S3: Advancing Automatic Photovoltaic Defect Detection using Semi-Supervised Semantic Segmentation of Electroluminescence Images
PV-S3: Advancing Automatic Photovoltaic Defect Detection using Semi-Supervised Semantic Segmentation of Electroluminescence Images
Abhishek Jha
Y. S. Rawat
Shruti Vyas
38
1
0
21 Apr 2024
Constructing and Exploring Intermediate Domains in Mixed Domain
  Semi-supervised Medical Image Segmentation
Constructing and Exploring Intermediate Domains in Mixed Domain Semi-supervised Medical Image Segmentation
Qinghe Ma
Jian Zhang
Lei Qi
Qian Yu
Yinghuan Shi
Yang Gao
46
7
0
13 Apr 2024
Language-Guided Instance-Aware Domain-Adaptive Panoptic Segmentation
Language-Guided Instance-Aware Domain-Adaptive Panoptic Segmentation
Elham Amin Mansour
Ozan Unal
Suman Saha
Benjamin Bejar
Luc Van Gool
42
1
0
04 Apr 2024
Semi-Supervised Unconstrained Head Pose Estimation in the Wild
Semi-Supervised Unconstrained Head Pose Estimation in the Wild
Huayi Zhou
Fei Jiang
Hongtao Lu
Yong Rui
Hongtao Lu
Kui Jia
43
0
0
03 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
43
2
0
22 Mar 2024
Audio-Visual Segmentation via Unlabeled Frame Exploitation
Audio-Visual Segmentation via Unlabeled Frame Exploitation
Jinxiang Liu
Yikun Liu
Fei Zhang
Chen Ju
Ya-Qin Zhang
Yanfeng Wang
39
10
0
17 Mar 2024
Domain-Agnostic Mutual Prompting for Unsupervised Domain Adaptation
Domain-Agnostic Mutual Prompting for Unsupervised Domain Adaptation
Zhekai Du
Xinyao Li
Fengling Li
Ke Lu
Lei Zhu
Jingjing Li
40
15
0
05 Mar 2024
PRCL: Probabilistic Representation Contrastive Learning for
  Semi-Supervised Semantic Segmentation
PRCL: Probabilistic Representation Contrastive Learning for Semi-Supervised Semantic Segmentation
Haoyu Xie
Changqi Wang
Jian-jun Zhao
Yang Liu
Jun Dan
Chong Fu
Baigui Sun
SSL
36
8
0
28 Feb 2024
MatchNAS: Optimizing Edge AI in Sparse-Label Data Contexts via
  Automating Deep Neural Network Porting for Mobile Deployment
MatchNAS: Optimizing Edge AI in Sparse-Label Data Contexts via Automating Deep Neural Network Porting for Mobile Deployment
Hongtao Huang
Xiaojun Chang
Wen Hu
Lina Yao
30
0
0
21 Feb 2024
Boosting Semi-Supervised 2D Human Pose Estimation by Revisiting Data Augmentation and Consistency Training
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
44
0
0
18 Feb 2024
RESMatch: Referring Expression Segmentation in a Semi-Supervised Manner
RESMatch: Referring Expression Segmentation in a Semi-Supervised Manner
Ying-Dong Zang
Chenglong Fu
Runlong Cao
Didi Zhu
Min Zhang
Wenjun Hu
Lanyun Zhu
Tianrun Chen
32
6
0
08 Feb 2024
Source-Free Unsupervised Domain Adaptation with Hypothesis Consolidation
  of Prediction Rationale
Source-Free Unsupervised Domain Adaptation with Hypothesis Consolidation of Prediction Rationale
Yangyang Shu
Xiaofeng Cao
Qi Chen
Bowen Zhang
Ziqin Zhou
A. Hengel
Lingqiao Liu
21
0
0
02 Feb 2024
Overcoming the Pitfalls of Vision-Language Model Finetuning for OOD
  Generalization
Overcoming the Pitfalls of Vision-Language Model Finetuning for OOD Generalization
Yuhang Zang
Hanlin Goh
Josh Susskind
Chen Huang
VLM
26
12
0
29 Jan 2024
Interleaving One-Class and Weakly-Supervised Models with Adaptive
  Thresholding for Unsupervised Video Anomaly Detection
Interleaving One-Class and Weakly-Supervised Models with Adaptive Thresholding for Unsupervised Video Anomaly Detection
Yongwei Nie
Hao Huang
Chengjiang Long
Qing Zhang
Pradipta Maji
Hongmin Cai
28
1
0
24 Jan 2024
Memory Consistency Guided Divide-and-Conquer Learning for Generalized
  Category Discovery
Memory Consistency Guided Divide-and-Conquer Learning for Generalized Category Discovery
Yuanpeng Tu
Zhun Zhong
Yuxi Li
Hengshuang Zhao
38
0
0
24 Jan 2024
Leveraging Gradients for Unsupervised Accuracy Estimation under Distribution Shift
Leveraging Gradients for Unsupervised Accuracy Estimation under Distribution Shift
Renchunzi Xie
Ambroise Odonnat
Vasilii Feofanov
I. Redko
Jianfeng Zhang
Bo An
UQCV
72
1
0
17 Jan 2024
FlexSSL : A Generic and Efficient Framework for Semi-Supervised Learning
FlexSSL : A Generic and Efficient Framework for Semi-Supervised Learning
Huiling Qin
Xianyuan Zhan
Yuanxun Li
Yu Zheng
22
0
0
28 Dec 2023
Twice Class Bias Correction for Imbalanced Semi-Supervised Learning
Twice Class Bias Correction for Imbalanced Semi-Supervised Learning
Lan Li
Bowen Tao
Lu Han
De-Chuan Zhan
Han-jia Ye
SSL
29
4
0
27 Dec 2023
Dynamic Sub-graph Distillation for Robust Semi-supervised Continual Learning
Dynamic Sub-graph Distillation for Robust Semi-supervised Continual Learning
Yan Fan
Yu Wang
Pengfei Zhu
Qinghua Hu
CLL
47
4
0
27 Dec 2023
Roll With the Punches: Expansion and Shrinkage of Soft Label Selection
  for Semi-supervised Fine-Grained Learning
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
30
4
0
19 Dec 2023
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
Y. S. Rawat
28
7
0
12 Dec 2023
Mixed Pseudo Labels for Semi-Supervised Object Detection
Mixed Pseudo Labels for Semi-Supervised Object Detection
Ze-Yi Chen
Wenwei Zhang
Xinjiang Wang
Kai Chen
Zhi Wang
ObjD
29
10
0
12 Dec 2023
FAGC:Feature Augmentation on Geodesic Curve in the Pre-Shape Space
FAGC:Feature Augmentation on Geodesic Curve in the Pre-Shape Space
Yuexing Han
Guanxin Wan
Bing Wang
18
5
0
06 Dec 2023
Unsupervised Video Domain Adaptation with Masked Pre-Training and Collaborative Self-Training
Unsupervised Video Domain Adaptation with Masked Pre-Training and Collaborative Self-Training
Arun V. Reddy
William Paul
Corban Rivera
Ketul Shah
Celso M. de Melo
Rama Chellappa
37
4
0
05 Dec 2023
Overcoming Label Noise for Source-free Unsupervised Video Domain
  Adaptation
Overcoming Label Noise for Source-free Unsupervised Video Domain Adaptation
A. Dasgupta
C. V. Jawahar
Karteek Alahari
TTA
VLM
16
10
0
30 Nov 2023
Can semi-supervised learning use all the data effectively? A lower bound
  perspective
Can semi-supervised learning use all the data effectively? A lower bound perspective
Alexandru cTifrea
Gizem Yüce
Amartya Sanyal
Fanny Yang
34
3
0
30 Nov 2023
LEOD: Label-Efficient Object Detection for Event Cameras
LEOD: Label-Efficient Object Detection for Event Cameras
Ziyi Wu
Mathias Gehrig
Qing Lyu
Xudong Liu
Igor Gilitschenski
27
12
0
29 Nov 2023
No Representation Rules Them All in Category Discovery
No Representation Rules Them All in Category Discovery
S. Vaze
Andrea Vedaldi
Andrew Zisserman
OOD
34
31
0
28 Nov 2023
Density-Guided Dense Pseudo Label Selection For Semi-supervised Oriented
  Object Detection
Density-Guided Dense Pseudo Label Selection For Semi-supervised Oriented Object Detection
Tong Zhao
Qiang Fang
Shuohao Shi
Xin Xu
23
2
0
21 Nov 2023
Segment Together: A Versatile Paradigm for Semi-Supervised Medical Image
  Segmentation
Segment Together: A Versatile Paradigm for Semi-Supervised Medical Image Segmentation
Qingjie Zeng
Yutong Xie
Zilin Lu
Mengkang Lu
Yicheng Wu
Yong-quan Xia
31
3
0
20 Nov 2023
UniMOS: A Universal Framework For Multi-Organ Segmentation Over
  Label-Constrained Datasets
UniMOS: A Universal Framework For Multi-Organ Segmentation Over Label-Constrained Datasets
Can Li
Sheng Shao
Junyi Qu
Shuchao Pang
M. Orgun
34
0
0
17 Nov 2023
Refining the ONCE Benchmark with Hyperparameter Tuning
Refining the ONCE Benchmark with Hyperparameter Tuning
Maksim Golyadkin
Alexander Gambashidze
Ildar Nurgaliev
Ilya Makarov
28
1
0
10 Nov 2023
Interpreting Pretrained Language Models via Concept Bottlenecks
Interpreting Pretrained Language Models via Concept Bottlenecks
Zhen Tan
Lu Cheng
Song Wang
Yuan Bo
Jundong Li
Huan Liu
LRM
29
20
0
08 Nov 2023
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