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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 / 643 papers shown
Title
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
21
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
Xuelong Li
FedML
24
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
24
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
21
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
42
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
61
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
32
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
40
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
59
172
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
36
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
36
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
Maurice Pagnucco
Yang Song
AI4TS
37
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
32
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
35
80
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
34
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
213
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
21
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
LST: Lexicon-Guided Self-Training for Few-Shot Text Classification
LST: Lexicon-Guided Self-Training for Few-Shot Text Classification
Hazel Kim
Jaeman Son
Yo-Sub Han
26
3
0
05 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
29
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
Learning Representation from Neural Fisher Kernel with Low-rank
  Approximation
Learning Representation from Neural Fisher Kernel with Low-rank Approximation
Ruixiang Zhang
Shuangfei Zhai
Etai Littwin
J. Susskind
SSL
36
3
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
40
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
31
5
0
25 Jan 2022
Neuro-Symbolic Entropy Regularization
Neuro-Symbolic Entropy Regularization
Kareem Ahmed
Eric Wang
Kai-Wei Chang
Guy Van den Broeck
44
22
0
25 Jan 2022
vCLIMB: A Novel Video Class Incremental Learning Benchmark
vCLIMB: A Novel Video Class Incremental Learning Benchmark
Andrés Villa
Kumail Alhamoud
Juan Carlos León Alcázar
Fabian Caba Heilbron
Victor Escorcia
Guohao Li
CLL
76
32
0
23 Jan 2022
PiCO+: Contrastive Label Disambiguation for Robust Partial Label
  Learning
PiCO+: Contrastive Label Disambiguation for Robust Partial Label Learning
Haobo Wang
Rui Xiao
Yixuan Li
Lei Feng
Gang Niu
Gang Chen
Jiaqi Zhao
VLM
56
25
0
22 Jan 2022
How does unlabeled data improve generalization in self-training? A
  one-hidden-layer theoretical analysis
How does unlabeled data improve generalization in self-training? A one-hidden-layer theoretical analysis
Shuai Zhang
Ming Wang
Sijia Liu
Pin-Yu Chen
Jinjun Xiong
SSL
MLT
41
23
0
21 Jan 2022
Optimizing Active Learning for Low Annotation Budgets
Optimizing Active Learning for Low Annotation Budgets
Umang Aggarwal
Adrian Daniel Popescu
C´eline Hudelot
45
1
0
18 Jan 2022
Contrastive Regularization for Semi-Supervised Learning
Contrastive Regularization for Semi-Supervised Learning
Doyup Lee
Sungwoong Kim
Ildoo Kim
Yeongjae Cheon
Minsu Cho
Wook-Shin Han
SSL
18
40
0
17 Jan 2022
Local contrastive loss with pseudo-label based self-training for
  semi-supervised medical image segmentation
Local contrastive loss with pseudo-label based self-training for semi-supervised medical image segmentation
K. Chaitanya
Ertunc Erdil
Neerav Karani
E. Konukoglu
SSL
22
121
0
17 Dec 2021
Taming Overconfident Prediction on Unlabeled Data from Hindsight
Taming Overconfident Prediction on Unlabeled Data from Hindsight
Jing Li
Yuangang Pan
Ivor W. Tsang
23
1
0
15 Dec 2021
Data Collection and Quality Challenges in Deep Learning: A Data-Centric
  AI Perspective
Data Collection and Quality Challenges in Deep Learning: A Data-Centric AI Perspective
Steven Euijong Whang
Yuji Roh
Hwanjun Song
Jae-Gil Lee
29
326
0
13 Dec 2021
Boosting Active Learning via Improving Test Performance
Boosting Active Learning via Improving Test Performance
Tianyang Wang
Xingjian Li
Pengkun Yang
Guosheng Hu
Xiangrui Zeng
Siyu Huang
Chengzhong Xu
Min Xu
33
33
0
10 Dec 2021
CoSSL: Co-Learning of Representation and Classifier for Imbalanced
  Semi-Supervised Learning
CoSSL: Co-Learning of Representation and Classifier for Imbalanced Semi-Supervised Learning
Yue Fan
Dengxin Dai
Anna Kukleva
Bernt Schiele
21
44
0
08 Dec 2021
Hard Sample Aware Noise Robust Learning for Histopathology Image
  Classification
Hard Sample Aware Noise Robust Learning for Histopathology Image Classification
Chuang Zhu
Wenkai Chen
T. Peng
Ying Wang
M. Jin
NoLa
34
72
0
05 Dec 2021
Overcoming the Domain Gap in Neural Action Representations
Overcoming the Domain Gap in Neural Action Representations
Semih Günel
Florian Aymanns
S. Honari
Pavan Ramdya
Pascal Fua
38
3
0
02 Dec 2021
Imbalanced Graph Classification via Graph-of-Graph Neural Networks
Imbalanced Graph Classification via Graph-of-Graph Neural Networks
Yu-Chiang Frank Wang
Yuying Zhao
Neil Shah
Tyler Derr
38
48
0
01 Dec 2021
ConDA: Unsupervised Domain Adaptation for LiDAR Segmentation via
  Regularized Domain Concatenation
ConDA: Unsupervised Domain Adaptation for LiDAR Segmentation via Regularized Domain Concatenation
Lingdong Kong
N. Quader
Venice Erin Liong
29
49
0
30 Nov 2021
Learning Multiple Dense Prediction Tasks from Partially Annotated Data
Learning Multiple Dense Prediction Tasks from Partially Annotated Data
Weihong Li
Xialei Liu
Hakan Bilen
50
40
0
29 Nov 2021
Implicit Equivariance in Convolutional Networks
Implicit Equivariance in Convolutional Networks
Naman Khetan
Tushar Arora
S. U. Rehman
D. K. Gupta
36
4
0
28 Nov 2021
Not All Relations are Equal: Mining Informative Labels for Scene Graph
  Generation
Not All Relations are Equal: Mining Informative Labels for Scene Graph Generation
A. Goel
Basura Fernando
Frank Keller
Hakan Bilen
35
30
0
26 Nov 2021
Learning from Temporal Gradient for Semi-supervised Action Recognition
Learning from Temporal Gradient for Semi-supervised Action Recognition
Junfei Xiao
Longlong Jing
Lin Zhang
Ju He
Qi She
Zongwei Zhou
Alan Yuille
Yingwei Li
16
51
0
25 Nov 2021
ACPL: Anti-curriculum Pseudo-labelling for Semi-supervised Medical Image
  Classification
ACPL: Anti-curriculum Pseudo-labelling for Semi-supervised Medical Image Classification
Fengbei Liu
Yu Tian
Yuanhong Chen
Yuyuan Liu
Vasileios Belagiannis
G. Carneiro
43
78
0
25 Nov 2021
Perturbed and Strict Mean Teachers for Semi-supervised Semantic
  Segmentation
Perturbed and Strict Mean Teachers for Semi-supervised Semantic Segmentation
Yuyuan Liu
Yu Tian
Yuanhong Chen
Fengbei Liu
Vasileios Belagiannis
G. Carneiro
41
177
0
25 Nov 2021
Consistency Regularization for Deep Face Anti-Spoofing
Consistency Regularization for Deep Face Anti-Spoofing
Zezheng Wang
Zitong Yu
Xun Wang
Yunxiao Qin
Jiahong Li
Chenxu Zhao
Zhen Lei
Xin Liu
Size Li
Zhongyuan Wang
CVBM
26
24
0
24 Nov 2021
Sparse Fusion for Multimodal Transformers
Sparse Fusion for Multimodal Transformers
Yi Ding
Alex Rich
Mason Wang
Noah Stier
M. Turk
P. Sen
Tobias Höllerer
ViT
27
7
0
23 Nov 2021
Semi-Supervised Learning with Taxonomic Labels
Semi-Supervised Learning with Taxonomic Labels
Jong-Chyi Su
Subhransu Maji
41
10
0
23 Nov 2021
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