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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 / 641 papers shown
Title
SelfMatch: Combining Contrastive Self-Supervision and Consistency for
  Semi-Supervised Learning
SelfMatch: Combining Contrastive Self-Supervision and Consistency for Semi-Supervised Learning
Byoungjip Kim
Jinho Choo
Yeong-Dae Kwon
Seongho Joe
Seungjai Min
Youngjune Gwon
SSL
35
52
0
16 Jan 2021
In Defense of Pseudo-Labeling: An Uncertainty-Aware Pseudo-label
  Selection Framework for Semi-Supervised Learning
In Defense of Pseudo-Labeling: An Uncertainty-Aware Pseudo-label Selection Framework for Semi-Supervised Learning
Mamshad Nayeem Rizve
Kevin Duarte
Yogesh S Rawat
M. Shah
247
510
0
15 Jan 2021
Mixup Without Hesitation
Mixup Without Hesitation
Hao Yu
Huanyu Wang
Jianxin Wu
VLM
33
21
0
12 Jan 2021
AutoDropout: Learning Dropout Patterns to Regularize Deep Networks
AutoDropout: Learning Dropout Patterns to Regularize Deep Networks
Hieu H. Pham
Quoc V. Le
76
56
0
05 Jan 2021
How does the Combined Risk Affect the Performance of Unsupervised Domain
  Adaptation Approaches?
How does the Combined Risk Affect the Performance of Unsupervised Domain Adaptation Approaches?
Zhong Li
Zhen Fang
Feng Liu
Jie Lu
Bo Yuan
Guangquan Zhang
27
55
0
30 Dec 2020
SENTRY: Selective Entropy Optimization via Committee Consistency for
  Unsupervised Domain Adaptation
SENTRY: Selective Entropy Optimization via Committee Consistency for Unsupervised Domain Adaptation
Viraj Prabhu
Shivam Khare
Deeksha Kartik
Judy Hoffman
46
133
0
21 Dec 2020
PTN: A Poisson Transfer Network for Semi-supervised Few-shot Learning
PTN: A Poisson Transfer Network for Semi-supervised Few-shot Learning
Huaxi Huang
Junjie Zhang
Jian Zhang
Qiang Wu
Chang Xu
36
24
0
20 Dec 2020
Unlabeled Data Guided Semi-supervised Histopathology Image Segmentation
Unlabeled Data Guided Semi-supervised Histopathology Image Segmentation
Hongxiao Wang
Hao Zheng
Jianxu Chen
Lin Yang
Yizhe Zhang
Danny Chen
MedIm
28
4
0
17 Dec 2020
Model-Based Deep Learning
Model-Based Deep Learning
Nir Shlezinger
Jay Whang
Yonina C. Eldar
A. Dimakis
33
318
0
15 Dec 2020
Teach me to segment with mixed supervision: Confident students become
  masters
Teach me to segment with mixed supervision: Confident students become masters
Jose Dolz
Christian Desrosiers
Ismail Ben Ayed
33
25
0
15 Dec 2020
Iterative label cleaning for transductive and semi-supervised few-shot
  learning
Iterative label cleaning for transductive and semi-supervised few-shot learning
Michalis Lazarou
Tania Stathaki
Yannis Avrithis
44
61
0
14 Dec 2020
Source Data-absent Unsupervised Domain Adaptation through Hypothesis
  Transfer and Labeling Transfer
Source Data-absent Unsupervised Domain Adaptation through Hypothesis Transfer and Labeling Transfer
Jian Liang
Dapeng Hu
Yunbo Wang
Ran He
Jiashi Feng
151
250
0
14 Dec 2020
Few-Shot Segmentation Without Meta-Learning: A Good Transductive
  Inference Is All You Need?
Few-Shot Segmentation Without Meta-Learning: A Good Transductive Inference Is All You Need?
Malik Boudiaf
H. Kervadec
Imtiaz Masud Ziko
Pablo Piantanida
Ismail Ben Ayed
Jose Dolz
VLM
177
188
0
11 Dec 2020
Annotation-efficient deep learning for automatic medical image
  segmentation
Annotation-efficient deep learning for automatic medical image segmentation
Shanshan Wang
Cheng Li
Rongpin Wang
Zaiyi Liu
Meiyun Wang
...
Xin Liu
Jie Chen
Hui-Chong Zhou
Ismail Ben Ayed
Hairong Zheng
VLM
MedIm
39
177
0
09 Dec 2020
Poisoning Semi-supervised Federated Learning via Unlabeled Data: Attacks
  and Defenses
Poisoning Semi-supervised Federated Learning via Unlabeled Data: Attacks and Defenses
Yi Liu
Xingliang Yuan
Ruihui Zhao
Cong Wang
Dusit Niyato
Yefeng Zheng
33
5
0
08 Dec 2020
SemiNLL: A Framework of Noisy-Label Learning by Semi-Supervised Learning
SemiNLL: A Framework of Noisy-Label Learning by Semi-Supervised Learning
Zhuowei Wang
Jing Jiang
Bo Han
Lei Feng
Bo An
Gang Niu
Guodong Long
NoLa
33
17
0
02 Dec 2020
Boosting the Performance of Semi-Supervised Learning with Unsupervised
  Clustering
Boosting the Performance of Semi-Supervised Learning with Unsupervised Clustering
B. Lerner
Guy Shiran
D. Weinshall
SSL
22
5
0
01 Dec 2020
They are Not Completely Useless: Towards Recycling Transferable
  Unlabeled Data for Class-Mismatched Semi-Supervised Learning
They are Not Completely Useless: Towards Recycling Transferable Unlabeled Data for Class-Mismatched Semi-Supervised Learning
Zhuo Huang
Ying Tai
Chengjie Wang
Jian Yang
Chen Gong
31
23
0
27 Nov 2020
Regularization with Latent Space Virtual Adversarial Training
Regularization with Latent Space Virtual Adversarial Training
Genki Osada
Budrul Ahsan
Revoti Prasad Bora
Takashi Nishide
30
14
0
26 Nov 2020
Grafit: Learning fine-grained image representations with coarse labels
Grafit: Learning fine-grained image representations with coarse labels
Hugo Touvron
Alexandre Sablayrolles
Matthijs Douze
Matthieu Cord
Hervé Jégou
SSL
34
68
0
25 Nov 2020
KeepAugment: A Simple Information-Preserving Data Augmentation Approach
KeepAugment: A Simple Information-Preserving Data Augmentation Approach
Chengyue Gong
Dilin Wang
Meng Li
Vikas Chandra
Qiang Liu
33
113
0
23 Nov 2020
CoMatch: Semi-supervised Learning with Contrastive Graph Regularization
CoMatch: Semi-supervised Learning with Contrastive Graph Regularization
Junnan Li
Caiming Xiong
Guosheng Lin
SSL
21
254
0
23 Nov 2020
SHOT-VAE: Semi-supervised Deep Generative Models With Label-aware ELBO
  Approximations
SHOT-VAE: Semi-supervised Deep Generative Models With Label-aware ELBO Approximations
H. Feng
Kezhi Kong
Minghao Chen
Tianye Zhang
Minfeng Zhu
Wei Chen
VLM
DRL
42
24
0
21 Nov 2020
Deep Interpretable Classification and Weakly-Supervised Segmentation of
  Histology Images via Max-Min Uncertainty
Deep Interpretable Classification and Weakly-Supervised Segmentation of Histology Images via Max-Min Uncertainty
Soufiane Belharbi
Jérôme Rony
Jose Dolz
Ismail Ben Ayed
Luke McCaffrey
Eric Granger
24
52
0
14 Nov 2020
Towards Domain-Agnostic Contrastive Learning
Towards Domain-Agnostic Contrastive Learning
Vikas Verma
Minh-Thang Luong
Kenji Kawaguchi
Hieu H. Pham
Quoc V. Le
SSL
15
116
0
09 Nov 2020
A Survey of Label-noise Representation Learning: Past, Present and
  Future
A Survey of Label-noise Representation Learning: Past, Present and Future
Bo Han
Quanming Yao
Tongliang Liu
Gang Niu
Ivor W. Tsang
James T. Kwok
Masashi Sugiyama
NoLa
24
159
0
09 Nov 2020
Mixing Consistent Deep Clustering
Mixing Consistent Deep Clustering
D. Lutscher
Ali el Hassouni
M. Stol
Mark Hoogendoorn
SSL
19
2
0
03 Nov 2020
MixKD: Towards Efficient Distillation of Large-scale Language Models
MixKD: Towards Efficient Distillation of Large-scale Language Models
Kevin J Liang
Weituo Hao
Dinghan Shen
Yufan Zhou
Weizhu Chen
Changyou Chen
Lawrence Carin
19
73
0
01 Nov 2020
Iterative Graph Self-Distillation
Iterative Graph Self-Distillation
Hanlin Zhang
Shuai Lin
Weiyang Liu
Pan Zhou
Jian Tang
Xiaodan Liang
Eric Xing
SSL
62
33
0
23 Oct 2020
UFO$^2$: A Unified Framework towards Omni-supervised Object Detection
UFO2^22: A Unified Framework towards Omni-supervised Object Detection
Zhongzheng Ren
Zhiding Yu
Xiaodong Yang
Xuan Li
Alex Schwing
Jan Kautz
ObjD
209
35
0
21 Oct 2020
RDIS: Random Drop Imputation with Self-Training for Incomplete Time
  Series Data
RDIS: Random Drop Imputation with Self-Training for Incomplete Time Series Data
Taehyean Choi
Ji-Su Kang
Jong-Hwan Kim
SyDa
AI4TS
27
21
0
20 Oct 2020
Combining Ensembles and Data Augmentation can Harm your Calibration
Combining Ensembles and Data Augmentation can Harm your Calibration
Yeming Wen
Ghassen Jerfel
Rafael Muller
Michael W. Dusenberry
Jasper Snoek
Balaji Lakshminarayanan
Dustin Tran
UQCV
32
63
0
19 Oct 2020
Semi-supervised Batch Active Learning via Bilevel Optimization
Semi-supervised Batch Active Learning via Bilevel Optimization
Zalan Borsos
Marco Tagliasacchi
Andreas Krause
34
23
0
19 Oct 2020
Unsupervised Semantic Aggregation and Deformable Template Matching for
  Semi-Supervised Learning
Unsupervised Semantic Aggregation and Deformable Template Matching for Semi-Supervised Learning
Tao Han
Junyu Gao
Yuan. Yuan
Qi. Wang
22
26
0
12 Oct 2020
How Does Mixup Help With Robustness and Generalization?
How Does Mixup Help With Robustness and Generalization?
Linjun Zhang
Zhun Deng
Kenji Kawaguchi
Amirata Ghorbani
James Zou
AAML
47
244
0
09 Oct 2020
InstaHide: Instance-hiding Schemes for Private Distributed Learning
InstaHide: Instance-hiding Schemes for Private Distributed Learning
Yangsibo Huang
Zhao Song
Keqin Li
Sanjeev Arora
FedML
PICV
25
150
0
06 Oct 2020
CO2: Consistent Contrast for Unsupervised Visual Representation Learning
CO2: Consistent Contrast for Unsupervised Visual Representation Learning
Chen Wei
Huiyu Wang
Wei Shen
Alan Yuille
SSL
36
62
0
05 Oct 2020
A Large Multi-Target Dataset of Common Bengali Handwritten Graphemes
A Large Multi-Target Dataset of Common Bengali Handwritten Graphemes
Samiul Alam
Tahsin Reasat
Asif Sushmit
Sadi Mohammad Siddiquee
Fuad Rahman
Mahady Hasan
Ahmed Imtiaz Humayun
20
21
0
01 Oct 2020
GraphXCOVID: Explainable Deep Graph Diffusion Pseudo-Labelling for
  Identifying COVID-19 on Chest X-rays
GraphXCOVID: Explainable Deep Graph Diffusion Pseudo-Labelling for Identifying COVID-19 on Chest X-rays
Angelica I Aviles-Rivero
P. Sellars
Carola-Bibiane Schönlieb
Nicolas Papadakis
DiffM
MedIm
SSL
30
30
0
30 Sep 2020
Semi-supervised sequence classification through change point detection
Semi-supervised sequence classification through change point detection
Nauman Ahad
Mark A. Davenport
SSL
AI4TS
27
7
0
24 Sep 2020
Enhancing Mixup-based Semi-Supervised Learning with Explicit Lipschitz
  Regularization
Enhancing Mixup-based Semi-Supervised Learning with Explicit Lipschitz Regularization
P. Gyawali
S. Ghimire
Linwei Wang
AAML
39
7
0
23 Sep 2020
Contrastive and Generative Graph Convolutional Networks for Graph-based
  Semi-Supervised Learning
Contrastive and Generative Graph Convolutional Networks for Graph-based Semi-Supervised Learning
Sheng Wan
Shirui Pan
Jian Yang
Chen Gong
SSL
22
137
0
15 Sep 2020
Manifold attack
Manifold attack
K. Tran
Fred-Maurice Ngole-Mboula
Jean-Luc Starck
AAML
OOD
23
0
0
13 Sep 2020
Beyond Point Estimate: Inferring Ensemble Prediction Variation from
  Neuron Activation Strength in Recommender Systems
Beyond Point Estimate: Inferring Ensemble Prediction Variation from Neuron Activation Strength in Recommender Systems
Zhe Chen
Yuyan Wang
Dong Lin
D. Cheng
Lichan Hong
Ed H. Chi
Claire Cui
31
16
0
17 Aug 2020
PointMixup: Augmentation for Point Clouds
PointMixup: Augmentation for Point Clouds
Yunlu Chen
Vincent Tao Hu
E. Gavves
Thomas Mensink
Pascal Mettes
Pengwan Yang
Cees G. M. Snoek
3DPC
30
154
0
14 Aug 2020
Self-Path: Self-supervision for Classification of Pathology Images with
  Limited Annotations
Self-Path: Self-supervision for Classification of Pathology Images with Limited Annotations
Navid Alemi Koohbanani
Balagopal Unnikrishnan
S. Khurram
Pavitra Krishnaswamy
Nasir M. Rajpoot
SSL
22
164
0
12 Aug 2020
Guided Collaborative Training for Pixel-wise Semi-Supervised Learning
Guided Collaborative Training for Pixel-wise Semi-Supervised Learning
Zhanghan Ke
Di Qiu
Kaican Li
Qiong Yan
Rynson W. H. Lau
28
247
0
12 Aug 2020
Visual Imitation Made Easy
Visual Imitation Made Easy
S. Young
Dhiraj Gandhi
Shubham Tulsiani
Abhinav Gupta
Pieter Abbeel
Lerrel Pinto
24
137
0
11 Aug 2020
Learning from a Complementary-label Source Domain: Theory and Algorithms
Learning from a Complementary-label Source Domain: Theory and Algorithms
Yiyang Zhang
Feng Liu
Zhen Fang
Bo Yuan
Guangquan Zhang
Jie Lu
28
70
0
04 Aug 2020
Mixup-CAM: Weakly-supervised Semantic Segmentation via Uncertainty
  Regularization
Mixup-CAM: Weakly-supervised Semantic Segmentation via Uncertainty Regularization
Yu-Ting Chang
Qiaosong Wang
Wei-Chih Hung
Robinson Piramuthu
Yi-Hsuan Tsai
Ming-Hsuan Yang
UQCV
WSOL
24
34
0
03 Aug 2020
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