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MixMatch: A Holistic Approach to Semi-Supervised Learning

MixMatch: A Holistic Approach to Semi-Supervised Learning

6 May 2019
David Berthelot
Nicholas Carlini
Ian Goodfellow
Nicolas Papernot
Avital Oliver
Colin Raffel
ArXivPDFHTML

Papers citing "MixMatch: A Holistic Approach to Semi-Supervised Learning"

50 / 570 papers shown
Title
How to Find Actionable Static Analysis Warnings: A Case Study with
  FindBugs
How to Find Actionable Static Analysis Warnings: A Case Study with FindBugs
Rahul Yedida
Hong Jin Kang
Huy Tu
Xueqi Yang
David Lo
Tim Menzies
40
12
0
21 May 2022
Semi-Supervised Learning for Image Classification using Compact Networks
  in the BioMedical Context
Semi-Supervised Learning for Image Classification using Compact Networks in the BioMedical Context
Adrián Inés
Andrés Díaz-Pinto
C. Domínguez
Jónathan Heras
Eloy J. Mata
Vico Pascual
27
1
0
19 May 2022
Semi-WTC: A Practical Semi-supervised Framework for Attack
  Categorization through Weight-Task Consistency
Semi-WTC: A Practical Semi-supervised Framework for Attack Categorization through Weight-Task Consistency
Zihan Li
Wentao Chen
Zhiqing Wei
Xi Luo
Bing-Huang Su
23
8
0
19 May 2022
SoK: The Impact of Unlabelled Data in Cyberthreat Detection
SoK: The Impact of Unlabelled Data in Cyberthreat Detection
Giovanni Apruzzese
Pavel Laskov
A.T. Tastemirova
33
28
0
18 May 2022
SemiCurv: Semi-Supervised Curvilinear Structure Segmentation
SemiCurv: Semi-Supervised Curvilinear Structure Segmentation
Xun Xu
M. Nguyen
Yasin Yazici
Kangkang Lu
Hlaing Min
Chuan-Sheng Foo
43
13
0
18 May 2022
Label-Efficient Self-Supervised Federated Learning for Tackling Data
  Heterogeneity in Medical Imaging
Label-Efficient Self-Supervised Federated Learning for Tackling Data Heterogeneity in Medical Imaging
Rui Yan
Liangqiong Qu
Qingyue Wei
Shih-Cheng Huang
Liyue Shen
D. Rubin
Lei Xing
Yuyin Zhou
FedML
78
90
0
17 May 2022
Knowledge Distillation Meets Open-Set Semi-Supervised Learning
Knowledge Distillation Meets Open-Set Semi-Supervised Learning
Jing Yang
Xiatian Zhu
Adrian Bulat
Brais Martínez
Georgios Tzimiropoulos
31
8
0
13 May 2022
DoubleMatch: Improving Semi-Supervised Learning with Self-Supervision
DoubleMatch: Improving Semi-Supervised Learning with Self-Supervision
Erik Wallin
Lennart Svensson
Fredrik Kahl
Lars Hammarstrand
SSL
14
12
0
11 May 2022
ALLSH: Active Learning Guided by Local Sensitivity and Hardness
ALLSH: Active Learning Guided by Local Sensitivity and Hardness
Shujian Zhang
Chengyue Gong
Xingchao Liu
Pengcheng He
Weizhu Chen
Mingyuan Zhou
27
26
0
10 May 2022
Multimodal Semi-Supervised Learning for Text Recognition
Multimodal Semi-Supervised Learning for Text Recognition
Aviad Aberdam
Roy Ganz
Shai Mazor
Ron Litman
VLM
24
19
0
08 May 2022
FedMix: Mixed Supervised Federated Learning for Medical Image
  Segmentation
FedMix: Mixed Supervised Federated Learning for Medical Image Segmentation
Jeffry Wicaksana
Zengqiang Yan
Dong Zhang
Xijie Huang
Huimin Wu
Xin Yang
Kwang-Ting Cheng
FedML
38
49
0
04 May 2022
FedRN: Exploiting k-Reliable Neighbors Towards Robust Federated Learning
FedRN: Exploiting k-Reliable Neighbors Towards Robust Federated Learning
Sangmook Kim
Wonyoung Shin
Soohyuk Jang
Hwanjun Song
Se-Young Yun
37
2
0
03 May 2022
Dynamic Curriculum Learning for Great Ape Detection in the Wild
Dynamic Curriculum Learning for Great Ape Detection in the Wild
Xinyu Yang
T. Burghardt
Majid Mirmehdi
27
14
0
30 Apr 2022
Reconstruction-Aware Prior Distillation for Semi-supervised Point Cloud
  Completion
Reconstruction-Aware Prior Distillation for Semi-supervised Point Cloud Completion
Zhaoxin Fan
Yulin He
Zhicheng Wang
Kejian Wu
Hongyan Liu
Jun He
32
7
0
20 Apr 2022
Unsupervised Contrastive Domain Adaptation for Semantic Segmentation
Unsupervised Contrastive Domain Adaptation for Semantic Segmentation
Feihu Zhang
V. Koltun
Philip Torr
René Ranftl
Stephan R. Richter
21
6
0
18 Apr 2022
Semi-Supervised Training to Improve Player and Ball Detection in Soccer
Semi-Supervised Training to Improve Player and Ball Detection in Soccer
Renaud Vandeghen
A. Cioppa
Marc Van Droogenbroeck
50
27
0
14 Apr 2022
Improved Training of Physics-Informed Neural Networks with Model
  Ensembles
Improved Training of Physics-Informed Neural Networks with Model Ensembles
Katsiaryna Haitsiukevich
Alexander Ilin
PINN
39
23
0
11 Apr 2022
S4OD: Semi-Supervised learning for Single-Stage Object Detection
S4OD: Semi-Supervised learning for Single-Stage Object Detection
Yueming Zhang
Xingxu Yao
Chao-Jung Liu
F. Chen
Xiaolin Song
Tengfei Xing
Runbo Hu
Hua Chai
Pengfei Xu
Guoshan Zhang
ObjD
36
7
0
09 Apr 2022
The Group Loss++: A deeper look into group loss for deep metric learning
The Group Loss++: A deeper look into group loss for deep metric learning
Ismail Elezi
Jenny Seidenschwarz
Laurin Wagner
Sebastiano Vascon
Alessandro Torcinovich
Marcello Pelillo
Laura Leal-Taixe
29
12
0
04 Apr 2022
On the Importance of Asymmetry for Siamese Representation Learning
On the Importance of Asymmetry for Siamese Representation Learning
Tianlin Li
Haoqi Fan
Yuandong Tian
Daisuke Kihara
Xinlei Chen
SSL
30
51
0
01 Apr 2022
PseCo: Pseudo Labeling and Consistency Training for Semi-Supervised
  Object Detection
PseCo: Pseudo Labeling and Consistency Training for Semi-Supervised Object Detection
Gang Li
Xiang Li
Yujie Wang
Yichao Wu
Ding Liang
Shanshan Zhang
12
91
0
30 Mar 2022
FisherMatch: Semi-Supervised Rotation Regression via Entropy-based
  Filtering
FisherMatch: Semi-Supervised Rotation Regression via Entropy-based Filtering
Yingda Yin
Yingcheng Cai
He Wang
Baoquan Chen
26
16
0
29 Mar 2022
Agreement or Disagreement in Noise-tolerant Mutual Learning?
Agreement or Disagreement in Noise-tolerant Mutual Learning?
Jiarun Liu
Daguang Jiang
Yukun Yang
Ruirui Li
NoLa
23
2
0
29 Mar 2022
ASM-Loc: Action-aware Segment Modeling for Weakly-Supervised Temporal
  Action Localization
ASM-Loc: Action-aware Segment Modeling for Weakly-Supervised Temporal Action Localization
Bo He
Xitong Yang
Le Kang
Zhiyu Cheng
Xingfa Zhou
Abhinav Shrivastava
33
77
0
29 Mar 2022
UNICON: Combating Label Noise Through Uniform Selection and Contrastive
  Learning
UNICON: Combating Label Noise Through Uniform Selection and Contrastive Learning
Nazmul Karim
Mamshad Nayeem Rizve
Nazanin Rahnavard
Ajmal Mian
M. Shah
NoLa
30
98
0
28 Mar 2022
MutexMatch: Semi-Supervised Learning with Mutex-Based Consistency
  Regularization
MutexMatch: Semi-Supervised Learning with Mutex-Based Consistency Regularization
Yue Duan
Zhen Zhao
Lei Qi
Lei Wang
Luping Zhou
Yinghuan Shi
Yang Gao
30
33
0
27 Mar 2022
Listen, Adapt, Better WER: Source-free Single-utterance Test-time
  Adaptation for Automatic Speech Recognition
Listen, Adapt, Better WER: Source-free Single-utterance Test-time Adaptation for Automatic Speech Recognition
Guan-Ting Lin
Shang-Wen Li
Hung-yi Lee
TTA
VLM
15
10
0
27 Mar 2022
RSCFed: Random Sampling Consensus Federated Semi-supervised Learning
RSCFed: Random Sampling Consensus Federated Semi-supervised Learning
Xiaoxiao Liang
Yiqun Lin
Huazhu Fu
Lei Zhu
Xiaomeng Li
FedML
19
48
0
26 Mar 2022
Noisy Boundaries: Lemon or Lemonade for Semi-supervised Instance
  Segmentation?
Noisy Boundaries: Lemon or Lemonade for Semi-supervised Instance Segmentation?
Zhenyu Wang
Yali Li
Shengjin Wang
ISeg
18
29
0
25 Mar 2022
Semi-Supervised Graph Learning Meets Dimensionality Reduction
Semi-Supervised Graph Learning Meets Dimensionality Reduction
Alex Morehead
Watchanan Chantapakul
Jianlin Cheng
19
0
0
23 Mar 2022
How Do You Do It? Fine-Grained Action Understanding with Pseudo-Adverbs
How Do You Do It? Fine-Grained Action Understanding with Pseudo-Adverbs
Hazel Doughty
Cees G. M. Snoek
32
19
0
23 Mar 2022
Harnessing Hard Mixed Samples with Decoupled Regularizer
Harnessing Hard Mixed Samples with Decoupled Regularizer
Zicheng Liu
Siyuan Li
Ge Wang
Cheng Tan
Lirong Wu
Stan Z. Li
59
18
0
21 Mar 2022
Unbiased Subclass Regularization for Semi-Supervised Semantic
  Segmentation
Unbiased Subclass Regularization for Semi-Supervised Semantic Segmentation
Dayan Guan
Jiaxing Huang
Aoran Xiao
Shijian Lu
30
42
0
18 Mar 2022
GCT: Graph Co-Training for Semi-Supervised Few-Shot Learning
GCT: Graph Co-Training for Semi-Supervised Few-Shot Learning
Rui Xu
Lei Xing
Shuai Shao
Lifei Zhao
Baodi Liu
Weifeng Liu
Yicong Zhou
31
22
0
15 Mar 2022
SimMatch: Semi-supervised Learning with Similarity Matching
SimMatch: Semi-supervised Learning with Similarity Matching
Mingkai Zheng
Shan You
Lang Huang
Fei Wang
Chao Qian
Chang Xu
44
171
0
14 Mar 2022
RecursiveMix: Mixed Learning with History
RecursiveMix: Mixed Learning with History
Lingfeng Yang
Xiang Li
Borui Zhao
Renjie Song
Jian Yang
VLM
29
18
0
14 Mar 2022
Learning Distinctive Margin toward Active Domain Adaptation
Learning Distinctive Margin toward Active Domain Adaptation
Ming-Kun Xie
Yuxi Li
Yabiao Wang
Zekun Luo
Zhenye Gan
Zhongyi Sun
M. Chi
Chengjie Wang
Pei Wang
28
31
0
11 Mar 2022
GrainSpace: A Large-scale Dataset for Fine-grained and Domain-adaptive
  Recognition of Cereal Grains
GrainSpace: A Large-scale Dataset for Fine-grained and Domain-adaptive Recognition of Cereal Grains
Lei Fan
Yiwen Ding
Dongdong Fan
Donglin Di
M. Pagnucco
Yang Song
AI4TS
29
19
0
10 Mar 2022
Important Object Identification with Semi-Supervised Learning for
  Autonomous Driving
Important Object Identification with Semi-Supervised Learning for Autonomous Driving
Jiachen Li
Haiming Gang
Hengbo Ma
Masayoshi Tomizuka
Chiho Choi
21
12
0
05 Mar 2022
BoostMIS: Boosting Medical Image Semi-supervised Learning with Adaptive
  Pseudo Labeling and Informative Active Annotation
BoostMIS: Boosting Medical Image Semi-supervised Learning with Adaptive Pseudo Labeling and Informative Active Annotation
Wenqiao Zhang
Lei Zhu
James Hallinan
A. Makmur
Shengyu Zhang
Qingpeng Cai
Beng Chin Ooi
30
79
0
04 Mar 2022
Robust Training under Label Noise by Over-parameterization
Robust Training under Label Noise by Over-parameterization
Sheng Liu
Zhihui Zhu
Qing Qu
Chong You
NoLa
OOD
27
106
0
28 Feb 2022
Interpolation-based Contrastive Learning for Few-Label Semi-Supervised
  Learning
Interpolation-based Contrastive Learning for Few-Label Semi-Supervised Learning
Xihong Yang
Xiaochang Hu
Sihang Zhou
Xinwang Liu
En Zhu
SSL
184
43
0
24 Feb 2022
Contrastive-mixup learning for improved speaker verification
Contrastive-mixup learning for improved speaker verification
Xin Zhang
Minho Jin
R. Cheng
Ruirui Li
Eunjung Han
A. Stolcke
AAML
SSL
25
10
0
22 Feb 2022
Domain-Augmented Domain Adaptation
Domain-Augmented Domain Adaptation
Qiuhao Zeng
Tianze Luo
Boyu Wang
16
2
0
21 Feb 2022
CLS: Cross Labeling Supervision for Semi-Supervised Learning
CLS: Cross Labeling Supervision for Semi-Supervised Learning
Yao Yao
Ju Shen
Jin Xu
Bin Zhong
Li Xiao
29
3
0
17 Feb 2022
Debiased Self-Training for Semi-Supervised Learning
Debiased Self-Training for Semi-Supervised Learning
Baixu Chen
Junguang Jiang
Ximei Wang
Pengfei Wan
Jianmin Wang
Mingsheng Long
32
86
0
15 Feb 2022
Backdoor Defense via Decoupling the Training Process
Backdoor Defense via Decoupling the Training Process
Kunzhe Huang
Yiming Li
Baoyuan Wu
Zhan Qin
Kui Ren
AAML
FedML
27
187
0
05 Feb 2022
Learning with Neighbor Consistency for Noisy Labels
Learning with Neighbor Consistency for Noisy Labels
Ahmet Iscen
Jack Valmadre
Anurag Arnab
Cordelia Schmid
NoLa
41
75
0
04 Feb 2022
Self Semi Supervised Neural Architecture Search for Semantic
  Segmentation
Self Semi Supervised Neural Architecture Search for Semantic Segmentation
Loïc Pauletto
Massih-Reza Amini
Nicolas Winckler
SSL
SSeg
35
1
0
29 Jan 2022
Virtual Adversarial Training for Semi-supervised Breast Mass
  Classification
Virtual Adversarial Training for Semi-supervised Breast Mass Classification
Xuxin Chen
Ximing Wang
Kecheng Zhang
K. Fung
T. Thai
K. Moore
Robert S. Mannel
Hong Liu
B. Zheng
Y. Qiu
28
5
0
25 Jan 2022
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