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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 / 554 papers shown
Title
Dist-PU: Positive-Unlabeled Learning from a Label Distribution
  Perspective
Dist-PU: Positive-Unlabeled Learning from a Label Distribution Perspective
Yunrui Zhao
Qianqian Xu
Yangbangyan Jiang
Peisong Wen
Qingming Huang
30
37
0
06 Dec 2022
Progressive Feature Upgrade in Semi-supervised Learning on Tabular
  Domain
Progressive Feature Upgrade in Semi-supervised Learning on Tabular Domain
Morteza Mohammady Gharasuie
Fenjiao Wang
38
0
0
01 Dec 2022
Denoising after Entropy-based Debiasing A Robust Training Method for
  Dataset Bias with Noisy Labels
Denoising after Entropy-based Debiasing A Robust Training Method for Dataset Bias with Noisy Labels
Sumyeong Ahn
Se-Young Yun
NoLa
29
2
0
01 Dec 2022
An Empirical Study on the Efficacy of Deep Active Learning for Image
  Classification
An Empirical Study on the Efficacy of Deep Active Learning for Image Classification
Yu Li
Mu-Hwa Chen
Yannan Liu
Daojing He
Qiang Xu
34
9
0
30 Nov 2022
Semi-Supervised Heterogeneous Graph Learning with Multi-level Data
  Augmentation
Semi-Supervised Heterogeneous Graph Learning with Multi-level Data Augmentation
Yingxi Chen
Siwei Qiang
Mingming Ha
Xiaolei Liu
Shaoshuai Li
Lingfeng Yuan
Xiaobo Guo
Zheng Hua Zhu
19
2
0
30 Nov 2022
A Unified Framework for Contrastive Learning from a Perspective of
  Affinity Matrix
A Unified Framework for Contrastive Learning from a Perspective of Affinity Matrix
Wenbin Li
Meihao Kong
Xuesong Yang
Lei Wang
Jing Huo
Yang Gao
Jiebo Luo
33
0
0
26 Nov 2022
Learning with Silver Standard Data for Zero-shot Relation Extraction
Tianyi Wang
Jianwei Wang
Ziqian Zeng
32
2
0
25 Nov 2022
Learning with Partial Labels from Semi-supervised Perspective
Learning with Partial Labels from Semi-supervised Perspective
Ximing Li
Yuanzhi Jiang
C. Li
Yiyuan Wang
Jihong Ouyang
SSL
23
15
0
24 Nov 2022
Private Multi-Winner Voting for Machine Learning
Private Multi-Winner Voting for Machine Learning
Adam Dziedzic
Christopher A. Choquette-Choo
Natalie Dullerud
Vinith Suriyakumar
Ali Shahin Shamsabadi
Muhammad Ahmad Kaleem
S. Jha
Nicolas Papernot
Xiao Wang
42
1
0
23 Nov 2022
SVFormer: Semi-supervised Video Transformer for Action Recognition
SVFormer: Semi-supervised Video Transformer for Action Recognition
Zhen Xing
Qi Dai
Hang-Rui Hu
Jingjing Chen
Zuxuan Wu
Yu-Gang Jiang
ViT
33
69
0
23 Nov 2022
Parametric Classification for Generalized Category Discovery: A Baseline
  Study
Parametric Classification for Generalized Category Discovery: A Baseline Study
Xin Wen
Bingchen Zhao
Xiaojuan Qi
38
67
0
21 Nov 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
26
29
0
21 Nov 2022
An Embarrassingly Simple Baseline for Imbalanced Semi-Supervised Learning
Haoxing Chen
Yue Fan
Yidong Wang
Jindong Wang
Bernt Schiele
Xingxu Xie
Marios Savvides
Bhiksha Raj
32
12
0
20 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
24
3
0
20 Nov 2022
Learning from Long-Tailed Noisy Data with Sample Selection and Balanced
  Loss
Learning from Long-Tailed Noisy Data with Sample Selection and Balanced Loss
Lefan Zhang
Zhang-Hao Tian
Wujun Zhou
Wei Wang
NoLa
24
2
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
25
0
0
17 Nov 2022
Dual Class-Aware Contrastive Federated Semi-Supervised Learning
Dual Class-Aware Contrastive Federated Semi-Supervised Learning
Qianling Guo
Yong Qi
Saiyu Qi
Di Wu
FedML
29
5
0
16 Nov 2022
Gradient Imitation Reinforcement Learning for General Low-Resource
  Information Extraction
Gradient Imitation Reinforcement Learning for General Low-Resource Information Extraction
Xuming Hu
Shiao Meng
Chenwei Zhang
Xiangli Yang
Lijie Wen
Irwin King
Philip S. Yu
52
0
0
11 Nov 2022
Continuous Soft Pseudo-Labeling in ASR
Continuous Soft Pseudo-Labeling in ASR
Tatiana Likhomanenko
R. Collobert
Navdeep Jaitly
Samy Bengio
VLM
24
3
0
11 Nov 2022
Distributional Shift Adaptation using Domain-Specific Features
Distributional Shift Adaptation using Domain-Specific Features
Anique Tahir
Lu Cheng
Ruocheng Guo
Huan Liu
VLM
TTA
OOD
OODD
31
2
0
09 Nov 2022
Learning to Annotate Part Segmentation with Gradient Matching
Learning to Annotate Part Segmentation with Gradient Matching
Yu Yang
Xiaotian Cheng
Hakan Bilen
Xiangyang Ji
GAN
32
7
0
06 Nov 2022
Data Models for Dataset Drift Controls in Machine Learning With Optical
  Images
Data Models for Dataset Drift Controls in Machine Learning With Optical Images
Luis Oala
Marco Aversa
Gabriel Nobis
Kurt Willis
Yoan Neuenschwander
...
E. Pomarico
Wojciech Samek
Roderick Murray-Smith
Christoph Clausen
B. Sanguinetti
28
5
0
04 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
Private Semi-supervised Knowledge Transfer for Deep Learning from Noisy
  Labels
Private Semi-supervised Knowledge Transfer for Deep Learning from Noisy Labels
Qiuchen Zhang
Jing Ma
Jian Lou
Li Xiong
Xiaoqian Jiang
NoLa
21
0
0
03 Nov 2022
Adversarial Auto-Augment with Label Preservation: A Representation
  Learning Principle Guided Approach
Adversarial Auto-Augment with Label Preservation: A Representation Learning Principle Guided Approach
Kaiwen Yang
Yanchao Sun
Jiahao Su
Fengxiang He
Xinmei Tian
Furong Huang
Dinesh Manocha
Dacheng Tao
38
13
0
02 Nov 2022
The Perils of Learning From Unlabeled Data: Backdoor Attacks on
  Semi-supervised Learning
The Perils of Learning From Unlabeled Data: Backdoor Attacks on Semi-supervised Learning
Virat Shejwalkar
Lingjuan Lyu
Amir Houmansadr
AAML
27
10
0
01 Nov 2022
A picture of the space of typical learnable tasks
A picture of the space of typical learnable tasks
Rahul Ramesh
Jialin Mao
Itay Griniasty
Rubing Yang
H. Teoh
Mark K. Transtrum
James P. Sethna
Pratik Chaudhari
SSL
DRL
36
5
0
31 Oct 2022
When does mixup promote local linearity in learned representations?
When does mixup promote local linearity in learned representations?
Arslan Chaudhry
A. Menon
Andreas Veit
Sadeep Jayasumana
Srikumar Ramalingam
Surinder Kumar
28
1
0
28 Oct 2022
ScoreMix: A Scalable Augmentation Strategy for Training GANs with
  Limited Data
ScoreMix: A Scalable Augmentation Strategy for Training GANs with Limited Data
Jie Cao
Mandi Luo
Junchi Yu
Mingmin Yang
Ran He
35
4
0
27 Oct 2022
Foreground Guidance and Multi-Layer Feature Fusion for Unsupervised
  Object Discovery with Transformers
Foreground Guidance and Multi-Layer Feature Fusion for Unsupervised Object Discovery with Transformers
Zhiwei Lin
Ze Yang
Yongtao Wang
ViT
39
2
0
24 Oct 2022
360-MLC: Multi-view Layout Consistency for Self-training and
  Hyper-parameter Tuning
360-MLC: Multi-view Layout Consistency for Self-training and Hyper-parameter Tuning
Bolivar Solarte
Chin-Hsuan Wu
Yueh-Cheng Liu
Yi-Hsuan Tsai
Min Sun
3DV
42
5
0
24 Oct 2022
Deep Learning in Single-Cell Analysis
Deep Learning in Single-Cell Analysis
Dylan Molho
Jiayuan Ding
Zhaoheng Li
Haifang Wen
Wenzhuo Tang
...
P. Danaher
Robert Yang
Y. Lei
Yuying Xie
Jiliang Tang
28
22
0
22 Oct 2022
Training set cleansing of backdoor poisoning by self-supervised
  representation learning
Training set cleansing of backdoor poisoning by self-supervised representation learning
H. Wang
Soroush Karami
Ousmane Amadou Dia
H. Ritter
E. Emamjomeh-Zadeh
J. Chen
Zhen Xiang
D. J. Miller
G. Kesidis
SSL
23
4
0
19 Oct 2022
Dual-Curriculum Teacher for Domain-Inconsistent Object Detection in
  Autonomous Driving
Dual-Curriculum Teacher for Domain-Inconsistent Object Detection in Autonomous Driving
L. Yu
Yifan Zhang
Lanqing Hong
Fei Chen
Zhenguo Li
43
3
0
17 Oct 2022
BoxTeacher: Exploring High-Quality Pseudo Labels for Weakly Supervised
  Instance Segmentation
BoxTeacher: Exploring High-Quality Pseudo Labels for Weakly Supervised Instance Segmentation
Tianheng Cheng
Xinggang Wang
Shaoyu Chen
Qian Zhang
Wenyu Liu
ISeg
35
42
0
11 Oct 2022
Continual Learning with Evolving Class Ontologies
Continual Learning with Evolving Class Ontologies
Zhiqiu Lin
Deepak Pathak
Yu-xiong Wang
Deva Ramanan
Shu Kong
CLL
41
9
0
10 Oct 2022
Grow and Merge: A Unified Framework for Continuous Categories Discovery
Grow and Merge: A Unified Framework for Continuous Categories Discovery
Xinwei Zhang
Jianwen Jiang
Yutong Feng
Zhi-Fan Wu
Xibin Zhao
Hai Wan
Mingqian Tang
Rong Jin
Yue Gao
CLL
38
29
0
09 Oct 2022
Modeling Inter-Class and Intra-Class Constraints in Novel Class
  Discovery
Modeling Inter-Class and Intra-Class Constraints in Novel Class Discovery
Wenbin Li
Zhichen Fan
Jing Huo
Yang Gao
38
22
0
07 Oct 2022
The Dynamic of Consensus in Deep Networks and the Identification of
  Noisy Labels
The Dynamic of Consensus in Deep Networks and the Identification of Noisy Labels
Daniel Shwartz
Uri Stern
D. Weinshall
NoLa
33
2
0
02 Oct 2022
MaxMatch: Semi-Supervised Learning with Worst-Case Consistency
MaxMatch: Semi-Supervised Learning with Worst-Case Consistency
Yangbangyan Jiang Xiaodan Li
Xiaodan Li
YueFeng Chen
Yuan He
Qianqian Xu
Zhiyong Yang
Xiaochun Cao
Qingming Huang
19
18
0
26 Sep 2022
Distributed Semi-supervised Fuzzy Regression with Interpolation
  Consistency Regularization
Distributed Semi-supervised Fuzzy Regression with Interpolation Consistency Regularization
Ye-ling Shi
Leijie Zhang
Zehong Cao
M. Tanveer
Chin-Teng Lin
11
7
0
18 Sep 2022
Transformer-CNN Cohort: Semi-supervised Semantic Segmentation by the
  Best of Both Students
Transformer-CNN Cohort: Semi-supervised Semantic Segmentation by the Best of Both Students
Xueye Zheng
Yuan Luo
Hao Wang
Chong Fu
Lin Wang
ViT
41
18
0
06 Sep 2022
Semi-Supervised Domain Adaptation by Similarity based Pseudo-label
  Injection
Semi-Supervised Domain Adaptation by Similarity based Pseudo-label Injection
Abhay Rawat
Isha Dua
Saurav Gupta
Rahul Tallamraju
15
1
0
05 Sep 2022
Instance-Dependent Noisy Label Learning via Graphical Modelling
Instance-Dependent Noisy Label Learning via Graphical Modelling
Arpit Garg
Cuong C. Nguyen
Rafael Felix
Thanh-Toan Do
G. Carneiro
NoLa
37
27
0
02 Sep 2022
PercentMatch: Percentile-based Dynamic Thresholding for Multi-Label
  Semi-Supervised Classification
PercentMatch: Percentile-based Dynamic Thresholding for Multi-Label Semi-Supervised Classification
Jun Huang
Alexander Huang
Beatriz C. Guerra
Yen-Yun Yu
27
4
0
30 Aug 2022
Open-Set Semi-Supervised Object Detection
Open-Set Semi-Supervised Object Detection
Yen-Cheng Liu
Chih-Yao Ma
Xiaoliang Dai
Junjiao Tian
Peter Vajda
Zijian He
Z. Kira
21
22
0
29 Aug 2022
Semi-supervised Semantic Segmentation with Mutual Knowledge Distillation
Semi-supervised Semantic Segmentation with Mutual Knowledge Distillation
Jianlong Yuan
Jinchao Ge
Zhibin Wang
Yifan Liu
20
17
0
24 Aug 2022
Semi-Supervised and Unsupervised Deep Visual Learning: A Survey
Semi-Supervised and Unsupervised Deep Visual Learning: A Survey
Yanbei Chen
Massimiliano Mancini
Xiatian Zhu
Zeynep Akata
45
113
0
24 Aug 2022
Learning from Noisy Labels with Coarse-to-Fine Sample Credibility
  Modeling
Learning from Noisy Labels with Coarse-to-Fine Sample Credibility Modeling
Boshen Zhang
Yuxi Li
Yuanpeng Tu
Jinlong Peng
Yabiao Wang
Cunlin Wu
Yanghua Xiao
Cairong Zhao
NoLa
38
6
0
23 Aug 2022
Multi-Granularity Distillation Scheme Towards Lightweight
  Semi-Supervised Semantic Segmentation
Multi-Granularity Distillation Scheme Towards Lightweight Semi-Supervised Semantic Segmentation
Jie Qin
Jie Wu
Ming Li
Xu Xiao
Min Zheng
Xingang Wang
38
6
0
22 Aug 2022
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