ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1905.02249
  4. Cited By
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 / 572 papers shown
Title
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
A Unified Analysis of Mixed Sample Data Augmentation: A Loss Function
  Perspective
A Unified Analysis of Mixed Sample Data Augmentation: A Loss Function Perspective
Chanwoo Park
Sangdoo Yun
Sanghyuk Chun
AAML
21
32
0
21 Aug 2022
Multi-View Correlation Consistency for Semi-Supervised Semantic
  Segmentation
Multi-View Correlation Consistency for Semi-Supervised Semantic Segmentation
Yunzhong Hou
Stephen Gould
Liang Zheng
32
0
0
17 Aug 2022
Domestic sound event detection by shift consistency mean-teacher
  training and adversarial domain adaptation
Domestic sound event detection by shift consistency mean-teacher training and adversarial domain adaptation
Fangzhou Chen
Kuan-Dar Chen
Yi-Wen Liu
39
1
0
17 Aug 2022
USB: A Unified Semi-supervised Learning Benchmark for Classification
USB: A Unified Semi-supervised Learning Benchmark for Classification
Yidong Wang
Hao Chen
Yue Fan
Wangbin Sun
R. Tao
...
T. Shinozaki
Bernt Schiele
Jindong Wang
Xingxu Xie
Yue Zhang
27
113
0
12 Aug 2022
RDA: Reciprocal Distribution Alignment for Robust Semi-supervised
  Learning
RDA: Reciprocal Distribution Alignment for Robust Semi-supervised Learning
Yue Duan
Lei Qi
Lei Wang
Luping Zhou
Yinghuan Shi
OOD
29
11
0
09 Aug 2022
Weakly Supervised Deep Instance Nuclei Detection using Points Annotation
  in 3D Cardiovascular Immunofluorescent Images
Weakly Supervised Deep Instance Nuclei Detection using Points Annotation in 3D Cardiovascular Immunofluorescent Images
Nazanin Moradinasab
Yash Sharma
Laura S. Shankman
Gary K. Owens
Donald E. Brown
24
1
0
29 Jul 2022
Centrality and Consistency: Two-Stage Clean Samples Identification for
  Learning with Instance-Dependent Noisy Labels
Centrality and Consistency: Two-Stage Clean Samples Identification for Learning with Instance-Dependent Noisy Labels
Ganlong Zhao
Guanbin Li
Yipeng Qin
Feng Liu
Yizhou Yu
NoLa
33
22
0
29 Jul 2022
Learning with Limited Annotations: A Survey on Deep Semi-Supervised
  Learning for Medical Image Segmentation
Learning with Limited Annotations: A Survey on Deep Semi-Supervised Learning for Medical Image Segmentation
Rushi Jiao
Yichi Zhang
Leiting Ding
Rong Cai
Jicong Zhang
29
152
0
28 Jul 2022
Imbalanced Semi-supervised Learning with Bias Adaptive Classifier
Imbalanced Semi-supervised Learning with Bias Adaptive Classifier
Renzhen Wang
Xixi Jia
Quanziang Wang
Yichen Wu
Deyu Meng
25
16
0
28 Jul 2022
Exploiting Diversity of Unlabeled Data for Label-Efficient
  Semi-Supervised Active Learning
Exploiting Diversity of Unlabeled Data for Label-Efficient Semi-Supervised Active Learning
F. Buchert
Nassir Navab
Seong Tae Kim
33
6
0
25 Jul 2022
Hierarchical Semi-Supervised Contrastive Learning for
  Contamination-Resistant Anomaly Detection
Hierarchical Semi-Supervised Contrastive Learning for Contamination-Resistant Anomaly Detection
Gaoang Wang
Yibing Zhan
Xinchao Wang
Min-Gyoo Song
K. Nahrstedt
27
11
0
24 Jul 2022
Semi-supervised Deep Multi-view Stereo
Semi-supervised Deep Multi-view Stereo
Hongbin Xu
Wei-Han Cheng
Yang Liu
Zhipeng Zhou
Haihong Xiao
Baigui Sun
Xuansong Xie
Wenxiong Kang
38
7
0
24 Jul 2022
Dual Adaptive Transformations for Weakly Supervised Point Cloud
  Segmentation
Dual Adaptive Transformations for Weakly Supervised Point Cloud Segmentation
Zhonghua Wu
Yicheng Wu
Guosheng Lin
Jianfei Cai
Chen Qian
3DPC
32
23
0
19 Jul 2022
Mind the Gap: Polishing Pseudo labels for Accurate Semi-supervised
  Object Detection
Mind the Gap: Polishing Pseudo labels for Accurate Semi-supervised Object Detection
Lei Zhang
Yuxuan Sun
Wei Wei
32
18
0
17 Jul 2022
Contrastive Brain Network Learning via Hierarchical Signed Graph Pooling
  Model
Contrastive Brain Network Learning via Hierarchical Signed Graph Pooling Model
Haoteng Tang
Guixiang Ma
Lei Guo
Xiyao Fu
Heng-Chiao Huang
Li Zhang
28
24
0
14 Jul 2022
On the Strong Correlation Between Model Invariance and Generalization
On the Strong Correlation Between Model Invariance and Generalization
Weijian Deng
Stephen Gould
Liang Zheng
OOD
32
16
0
14 Jul 2022
Semi-supervised cross-lingual speech emotion recognition
Semi-supervised cross-lingual speech emotion recognition
Mirko Agarla
Simone Bianco
Luigi Celona
Paolo Napoletano
A. Petrovsky
Flavio Piccoli
Raimondo Schettini
I. Shanin
33
14
0
14 Jul 2022
Pseudo-Labeling Based Practical Semi-Supervised Meta-Training for Few-Shot Learning
Pseudo-Labeling Based Practical Semi-Supervised Meta-Training for Few-Shot Learning
Xingping Dong
Tianran Ouyang
Shengcai Liao
Bo Du
Ling Shao
40
3
0
14 Jul 2022
Uncertainty-Aware Learning Against Label Noise on Imbalanced Datasets
Uncertainty-Aware Learning Against Label Noise on Imbalanced Datasets
Yingsong Huang
Bing Bai
Shengwei Zhao
Kun Bai
Fei Wang
NoLa
30
44
0
12 Jul 2022
Test-Time Adaptation via Self-Training with Nearest Neighbor Information
Test-Time Adaptation via Self-Training with Nearest Neighbor Information
M-U Jang
Sae-Young Chung
Hye Won Chung
OOD
TTA
41
57
0
08 Jul 2022
Histopathology DatasetGAN: Synthesizing Large-Resolution Histopathology
  Datasets
Histopathology DatasetGAN: Synthesizing Large-Resolution Histopathology Datasets
S. Rizvi
P. Cicalese
S. Seshan
S. Sciascia
J. U.Becker
H. V. Nguyen
MedIm
26
2
0
06 Jul 2022
Dense Teacher: Dense Pseudo-Labels for Semi-supervised Object Detection
Dense Teacher: Dense Pseudo-Labels for Semi-supervised Object Detection
Hongyu Zhou
Zheng Ge
Songtao Liu
Weixin Mao
Zeming Li
Haiyan Yu
Jian‐Yuan Sun
26
87
0
06 Jul 2022
Towards Realistic Semi-Supervised Learning
Towards Realistic Semi-Supervised Learning
Mamshad Nayeem Rizve
Navid Kardan
M. Shah
49
44
0
05 Jul 2022
OpenLDN: Learning to Discover Novel Classes for Open-World
  Semi-Supervised Learning
OpenLDN: Learning to Discover Novel Classes for Open-World Semi-Supervised Learning
Mamshad Nayeem Rizve
Navid Kardan
Salman Khan
Fahad Shahbaz Khan
M. Shah
39
49
0
05 Jul 2022
LaserMix for Semi-Supervised LiDAR Semantic Segmentation
LaserMix for Semi-Supervised LiDAR Semantic Segmentation
Lingdong Kong
Jiawei Ren
Liang Pan
Ziwei Liu
27
79
0
30 Jun 2022
Semi-Supervised Generative Adversarial Network for Stress Detection
  Using Partially Labeled Physiological Data
Semi-Supervised Generative Adversarial Network for Stress Detection Using Partially Labeled Physiological Data
Nibraas Khan
Nilanjan Sarkar
8
7
0
30 Jun 2022
On Non-Random Missing Labels in Semi-Supervised Learning
On Non-Random Missing Labels in Semi-Supervised Learning
Xinting Hu
Yulei Niu
Chunyan Miao
Xiansheng Hua
Hanwang Zhang
34
18
0
29 Jun 2022
Towards Harnessing Feature Embedding for Robust Learning with Noisy
  Labels
Towards Harnessing Feature Embedding for Robust Learning with Noisy Labels
Chuang Zhang
Li Shen
Jian Yang
Chen Gong
NoLa
27
5
0
27 Jun 2022
Memory-Guided Multi-View Multi-Domain Fake News Detection
Memory-Guided Multi-View Multi-Domain Fake News Detection
Yongchun Zhu
Qiang Sheng
Juan Cao
Qiong Nan
Kai Shu
Ming-hui Wu
Jindong Wang
Fuzhen Zhuang
29
74
0
26 Jun 2022
Stain Based Contrastive Co-training for Histopathological Image Analysis
Stain Based Contrastive Co-training for Histopathological Image Analysis
Bodong Zhang
Beatrice Knudsen
Deepika Sirohi
Alessandro Ferrero
Tolga Tasdizen
SSL
31
5
0
24 Jun 2022
Mutual Information-guided Knowledge Transfer for Novel Class Discovery
Chuyu Zhang
Chuanyan Hu
Ruijie Xu
Zhitong Gao
Qian He
Xuming He
20
4
0
24 Jun 2022
When Does Re-initialization Work?
When Does Re-initialization Work?
Sheheryar Zaidi
Tudor Berariu
Hyunjik Kim
J. Bornschein
Claudia Clopath
Yee Whye Teh
Razvan Pascanu
40
10
0
20 Jun 2022
Boosting Cross-Domain Speech Recognition with Self-Supervision
Boosting Cross-Domain Speech Recognition with Self-Supervision
Hanjing Zhu
Gaofeng Cheng
Jindong Wang
Wenxin Hou
Pengyuan Zhang
Yonghong Yan
19
13
0
20 Jun 2022
Censer: Curriculum Semi-supervised Learning for Speech Recognition Based
  on Self-supervised Pre-training
Censer: Curriculum Semi-supervised Learning for Speech Recognition Based on Self-supervised Pre-training
Bowen Zhang
Songjun Cao
Xiaoming Zhang
Yike Zhang
Long Ma
T. Shinozaki
SSL
22
4
0
16 Jun 2022
Transductive CLIP with Class-Conditional Contrastive Learning
Transductive CLIP with Class-Conditional Contrastive Learning
Junchu Huang
Weijie Chen
Shicai Yang
Di Xie
Shiliang Pu
Yueting Zhuang
VLM
BDL
NoLa
27
6
0
13 Jun 2022
Learning Fashion Compatibility from In-the-wild Images
Learning Fashion Compatibility from In-the-wild Images
Additya Popli
Vijay Kumar
Sujit Jos
Saraansh Tandon
18
1
0
13 Jun 2022
Svadhyaya system for the Second Diagnosing COVID-19 using Acoustics
  Challenge 2021
Svadhyaya system for the Second Diagnosing COVID-19 using Acoustics Challenge 2021
Deepak Mittal
A. H. Poorjam
Debottam Dutta
Debarpan Bhattacharya
Zemin Yu
Sriram Ganapathy
M. Singh
18
0
0
11 Jun 2022
Masked Autoencoders are Robust Data Augmentors
Masked Autoencoders are Robust Data Augmentors
Haohang Xu
Shuangrui Ding
Xiaopeng Zhang
H. Xiong
35
27
0
10 Jun 2022
Self-Training of Handwritten Word Recognition for Synthetic-to-Real
  Adaptation
Self-Training of Handwritten Word Recognition for Synthetic-to-Real Adaptation
Fabian Wolf
G. Fink
25
5
0
07 Jun 2022
MSR: Making Self-supervised learning Robust to Aggressive Augmentations
MSR: Making Self-supervised learning Robust to Aggressive Augmentations
Ying-Long Bai
Erkun Yang
Zhaoqing Wang
Yuxuan Du
Bo Han
Cheng Deng
Dadong Wang
Tongliang Liu
SSL
28
3
0
04 Jun 2022
Hyperspherical Consistency Regularization
Hyperspherical Consistency Regularization
Cheng Tan
Zhangyang Gao
Lirong Wu
Siyuan Li
Stan Z. Li
36
25
0
02 Jun 2022
Conformal Credal Self-Supervised Learning
Conformal Credal Self-Supervised Learning
Julian Lienen
Caglar Demir
Eyke Hüllermeier
29
13
0
30 May 2022
Divide to Adapt: Mitigating Confirmation Bias for Domain Adaptation of
  Black-Box Predictors
Divide to Adapt: Mitigating Confirmation Bias for Domain Adaptation of Black-Box Predictors
Jianfei Yang
Xiangyu Peng
Kaidi Wang
Zheng Hua Zhu
Jiashi Feng
Lihua Xie
Yang You
32
27
0
28 May 2022
Transfer and Share: Semi-Supervised Learning from Long-Tailed Data
Transfer and Share: Semi-Supervised Learning from Long-Tailed Data
Tong Wei
Qianqian Liu
Jiang-Xin Shi
Wei-Wei Tu
Lan-Zhe Guo
31
14
0
26 May 2022
Penalizing Proposals using Classifiers for Semi-Supervised Object
  Detection
Penalizing Proposals using Classifiers for Semi-Supervised Object Detection
S. Hazra
P. Dasgupta
33
0
0
26 May 2022
Previous
123456...101112
Next