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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 / 550 papers shown
Title
High-Dimensional Bayesian Optimization via Semi-Supervised Learning with
  Optimized Unlabeled Data Sampling
High-Dimensional Bayesian Optimization via Semi-Supervised Learning with Optimized Unlabeled Data Sampling
Y. Yin
Yu Wang
Gang Xu
29
4
0
04 May 2023
Leveraging Unlabelled Data in Multiple-Instance Learning Problems for
  Improved Detection of Parkinsonian Tremor in Free-Living Conditions
Leveraging Unlabelled Data in Multiple-Instance Learning Problems for Improved Detection of Parkinsonian Tremor in Free-Living Conditions
Alexandros Papadopoulos
A. Delopoulos
25
2
0
29 Apr 2023
SEAL: Simultaneous Label Hierarchy Exploration And Learning
SEAL: Simultaneous Label Hierarchy Exploration And Learning
Zhi-Hao Tan
Zihao Wang
Yifan Zhang
56
6
0
26 Apr 2023
ESimCSE Unsupervised Contrastive Learning Jointly with UDA
  Semi-Supervised Learning for Large Label System Text Classification Mode
ESimCSE Unsupervised Contrastive Learning Jointly with UDA Semi-Supervised Learning for Large Label System Text Classification Mode
Ruan Lu
Zhou Hangcheng
Ran Meng
Zhao Jin
Qin JiaoYu
Wei Feng
Wang ChenZi
40
0
0
19 Apr 2023
ContraCluster: Learning to Classify without Labels by Contrastive
  Self-Supervision and Prototype-Based Semi-Supervision
ContraCluster: Learning to Classify without Labels by Contrastive Self-Supervision and Prototype-Based Semi-Supervision
Seongho Joe
Byoungjip Kim
Ho. Kang
Kyoungwon Park
Bogun Kim
Jaeseon Park
Joonseok Lee
Youngjune Gwon
SSL
26
1
0
19 Apr 2023
CiPR: An Efficient Framework with Cross-instance Positive Relations for
  Generalized Category Discovery
CiPR: An Efficient Framework with Cross-instance Positive Relations for Generalized Category Discovery
Shaozhe Hao
Kai Han
Kwan-Yee K. Wong
46
16
0
14 Apr 2023
Task Adaptive Feature Transformation for One-Shot Learning
Task Adaptive Feature Transformation for One-Shot Learning
Imtiaz Masud Ziko
Freddy Lecue
Ismail Ben Ayed
VLM
35
1
0
13 Apr 2023
CoSDA: Continual Source-Free Domain Adaptation
CoSDA: Continual Source-Free Domain Adaptation
H. Feng
Zhaorui Yang
He-Tuo Chen
Tianyu Pang
Chao Du
Minfeng Zhu
Wei Chen
Shuicheng Yan
CLL
TTA
37
3
0
13 Apr 2023
Self-training with dual uncertainty for semi-supervised medical image
  segmentation
Self-training with dual uncertainty for semi-supervised medical image segmentation
Zhanhong Qiu
Haitao Gan
Mingzhi Shi
Zhongwei Huang
Zhi Yang
11
2
0
10 Apr 2023
CAusal and collaborative proxy-tasKs lEarning for Semi-Supervised Domain
  Adaptation
CAusal and collaborative proxy-tasKs lEarning for Semi-Supervised Domain Adaptation
Wenqiao Zhang
Changshuo Liu
Can Cui
Beng Chin Ooi
CML
27
0
0
30 Mar 2023
EEGMatch: Learning with Incomplete Labels for Semi-Supervised EEG-based
  Cross-Subject Emotion Recognition
EEGMatch: Learning with Incomplete Labels for Semi-Supervised EEG-based Cross-Subject Emotion Recognition
Rushuang Zhou
Weishan Ye
Zhiguo Zhang
Yanyang Luo
Li Zhang
Linling Li
G. Huang
Yining Dong
Yuan Zhang
Zhen Liang
36
9
0
27 Mar 2023
Ambiguity-Resistant Semi-Supervised Learning for Dense Object Detection
Ambiguity-Resistant Semi-Supervised Learning for Dense Object Detection
Chang-rui Liu
Weiming Zhang
Xiangru Lin
Wei Zhang
Xiao Tan
Junyu Han
Xiaomao Li
Errui Ding
Jingdong Wang
58
33
0
27 Mar 2023
Two-shot Video Object Segmentation
Two-shot Video Object Segmentation
Kun Yan
Xiao Li
Fangyun Wei
Jinglu Wang
Chenbin Zhang
Ping Wang
Yan Lu
VOS
28
14
0
21 Mar 2023
Coreset Sampling from Open-Set for Fine-Grained Self-Supervised Learning
Coreset Sampling from Open-Set for Fine-Grained Self-Supervised Learning
Sungnyun Kim
Sangmin Bae
Se-Young Yun
22
9
0
20 Mar 2023
AdaptGuard: Defending Against Universal Attacks for Model Adaptation
AdaptGuard: Defending Against Universal Attacks for Model Adaptation
Lijun Sheng
Jian Liang
Ran He
Zilei Wang
Tien-Ping Tan
AAML
48
5
0
19 Mar 2023
Learning with Noisy Labels through Learnable Weighting and Centroid
  Similarity
Learning with Noisy Labels through Learnable Weighting and Centroid Similarity
F. Wani
Maria Sofia Bucarelli
Fabrizio Silvestri
NoLa
37
3
0
16 Mar 2023
Active Teacher for Semi-Supervised Object Detection
Active Teacher for Semi-Supervised Object Detection
Peng Mi
Jianghang Lin
Yiyi Zhou
Yunhang Shen
Gen Luo
Xiaoshuai Sun
Liujuan Cao
Rongrong Fu
Qiang Xu
Rongrong Ji
52
61
0
15 Mar 2023
GANN: Graph Alignment Neural Network for Semi-Supervised Learning
GANN: Graph Alignment Neural Network for Semi-Supervised Learning
Linxuan Song
Wenxuan Tu
Sihang Zhou
Xinwang Liu
En Zhu
27
4
0
14 Mar 2023
InPL: Pseudo-labeling the Inliers First for Imbalanced Semi-supervised
  Learning
InPL: Pseudo-labeling the Inliers First for Imbalanced Semi-supervised Learning
Z. Yu
Yin Li
Yong Jae Lee
27
10
0
13 Mar 2023
Reliability-Adaptive Consistency Regularization for Weakly-Supervised
  Point Cloud Segmentation
Reliability-Adaptive Consistency Regularization for Weakly-Supervised Point Cloud Segmentation
Zhonghua Wu
Yicheng Wu
Guosheng Lin
Jianfei Cai
3DPC
32
10
0
09 Mar 2023
Toward Data-Driven Glare Classification and Prediction for Marine
  Megafauna Survey
Toward Data-Driven Glare Classification and Prediction for Marine Megafauna Survey
J. Power
Derek Jacoby
M. Drouin
Guillaume Durand
Yvonne Coady
Julian Meng
28
1
0
03 Mar 2023
STUNT: Few-shot Tabular Learning with Self-generated Tasks from
  Unlabeled Tables
STUNT: Few-shot Tabular Learning with Self-generated Tasks from Unlabeled Tables
Jaehyun Nam
Jihoon Tack
Kyungmin Lee
Hankook Lee
Jinwoo Shin
LMTD
SSL
21
31
0
02 Mar 2023
Partial Label Learning for Emotion Recognition from EEG
Partial Label Learning for Emotion Recognition from EEG
Guangyi Zhang
Ali Etemad
49
2
0
25 Feb 2023
Practical Knowledge Distillation: Using DNNs to Beat DNNs
Practical Knowledge Distillation: Using DNNs to Beat DNNs
Chungman Lee
Pavlos Anastasios Apostolopulos
Igor L. Markov
FedML
24
1
0
23 Feb 2023
A Comprehensive Survey on Source-free Domain Adaptation
A Comprehensive Survey on Source-free Domain Adaptation
Zhiqi Yu
Jingjing Li
Zhekai Du
Lei Zhu
H. Shen
TTA
31
94
0
23 Feb 2023
Data Augmentation for Neural NLP
Data Augmentation for Neural NLP
Domagoj Pluscec
Jan Snajder
19
6
0
22 Feb 2023
Latent Class-Conditional Noise Model
Latent Class-Conditional Noise Model
Jiangchao Yao
Bo Han
Zhihan Zhou
Ya-Qin Zhang
Ivor W. Tsang
NoLa
BDL
33
8
0
19 Feb 2023
Efficient Teacher: Semi-Supervised Object Detection for YOLOv5
Efficient Teacher: Semi-Supervised Object Detection for YOLOv5
Bowen Xu
Mingtao Chen
Wenlong Guan
Lulu Hu
28
37
0
15 Feb 2023
Learning from Noisy Labels with Decoupled Meta Label Purifier
Learning from Noisy Labels with Decoupled Meta Label Purifier
Yuanpeng Tu
Boshen Zhang
Yuxi Li
Liang Liu
Jian Li
Yabiao Wang
Chengjie Wang
C. Zhao
NoLa
49
27
0
14 Feb 2023
Hard-aware Instance Adaptive Self-training for Unsupervised Cross-domain Semantic Segmentation
Hard-aware Instance Adaptive Self-training for Unsupervised Cross-domain Semantic Segmentation
Chuanglu Zhu
Kebin Liu
Wenqi Tang
Ke Mei
Jiaqi Zou
Tiejun Huang
57
1
0
14 Feb 2023
Jaccard Metric Losses: Optimizing the Jaccard Index with Soft Labels
Jaccard Metric Losses: Optimizing the Jaccard Index with Soft Labels
Zifu Wang
Xuefei Ning
Matthew B. Blaschko
VLM
30
12
0
11 Feb 2023
Generating High Fidelity Synthetic Data via Coreset selection and
  Entropic Regularization
Generating High Fidelity Synthetic Data via Coreset selection and Entropic Regularization
Omead Brandon Pooladzandi
Pasha Khosravi
Erik Nijkamp
Baharan Mirzasoleiman
SyDa
20
2
0
31 Jan 2023
Consistency Regularisation in Varying Contexts and Feature Perturbations
  for Semi-Supervised Semantic Segmentation of Histology Images
Consistency Regularisation in Varying Contexts and Feature Perturbations for Semi-Supervised Semantic Segmentation of Histology Images
R. M. S. Bashir
Talha Qaiser
S. Raza
Nasir M. Rajpoot
38
13
0
30 Jan 2023
Open Problems in Applied Deep Learning
Open Problems in Applied Deep Learning
M. Raissi
AI4CE
42
2
0
26 Jan 2023
SoftMatch: Addressing the Quantity-Quality Trade-off in Semi-supervised
  Learning
SoftMatch: Addressing the Quantity-Quality Trade-off in Semi-supervised Learning
Hao Chen
R. Tao
Yue Fan
Yidong Wang
Jindong Wang
Bernt Schiele
Xingxu Xie
Bhiksha Raj
Marios Savvides
24
141
0
26 Jan 2023
DEJA VU: Continual Model Generalization For Unseen Domains
DEJA VU: Continual Model Generalization For Unseen Domains
Chenxi Liu
Lixu Wang
Lingjuan Lyu
Chen Sun
Tianlin Li
Qi Zhu
CLL
OOD
27
22
0
25 Jan 2023
Improving Open-Set Semi-Supervised Learning with Self-Supervision
Improving Open-Set Semi-Supervised Learning with Self-Supervision
Erik Wallin
Lennart Svensson
Fredrik Kahl
Lars Hammarstrand
34
6
0
24 Jan 2023
TAAL: Test-time Augmentation for Active Learning in Medical Image
  Segmentation
TAAL: Test-time Augmentation for Active Learning in Medical Image Segmentation
Mélanie Gaillochet
Christian Desrosiers
H. Lombaert
19
11
0
16 Jan 2023
SemPPL: Predicting pseudo-labels for better contrastive representations
SemPPL: Predicting pseudo-labels for better contrastive representations
Matko Bovsnjak
Pierre Harvey Richemond
Nenad Tomašev
Florian Strub
Jacob Walker
Felix Hill
Lars Buesing
Razvan Pascanu
Charles Blundell
Jovana Mitrović
SSL
VLM
41
9
0
12 Jan 2023
1st Place Solution for ECCV 2022 OOD-CV Challenge Image Classification
  Track
1st Place Solution for ECCV 2022 OOD-CV Challenge Image Classification Track
Yilu Guo
Xing-Jian Shi
Weijie Chen
Shicai Yang
Di Xie
Shiliang Pu
Yueting Zhuang
3DGS
8
1
0
12 Jan 2023
Semi-Supervised Learning with Pseudo-Negative Labels for Image
  Classification
Semi-Supervised Learning with Pseudo-Negative Labels for Image Classification
Hao Xu
Hui Xiao
Huazheng Hao
Li Dong
Xiaojie Qiu
Chengbin Peng
VLM
SSL
16
22
0
10 Jan 2023
MoBYv2AL: Self-supervised Active Learning for Image Classification
MoBYv2AL: Self-supervised Active Learning for Image Classification
Razvan Caramalau
Binod Bhattarai
Danail Stoyanov
Tae-Kyun Kim
SSL
29
7
0
04 Jan 2023
VertMatch: A Semi-supervised Framework for Vertebral Structure Detection
  in 3D Ultrasound Volume
VertMatch: A Semi-supervised Framework for Vertebral Structure Detection in 3D Ultrasound Volume
Hongye Zeng
Kang Zhou
Songhan Ge
Yuchong Gao
Jianhao Zhao
Shenghua Gao
Ru Zheng
MedIm
39
2
0
28 Dec 2022
Self Meta Pseudo Labels: Meta Pseudo Labels Without The Teacher
Self Meta Pseudo Labels: Meta Pseudo Labels Without The Teacher
Kei-Sing Ng
Qingchen Wang
VLM
21
1
0
27 Dec 2022
A Survey of Mix-based Data Augmentation: Taxonomy, Methods,
  Applications, and Explainability
A Survey of Mix-based Data Augmentation: Taxonomy, Methods, Applications, and Explainability
Chengtai Cao
Fan Zhou
Yurou Dai
Jianping Wang
Kunpeng Zhang
AAML
24
28
0
21 Dec 2022
Boosting Semi-Supervised Learning with Contrastive Complementary
  Labeling
Boosting Semi-Supervised Learning with Contrastive Complementary Labeling
Qinyi Deng
Yong Guo
Zhibang Yang
Haolin Pan
Jian Chen
35
10
0
13 Dec 2022
Robust Perception through Equivariance
Robust Perception through Equivariance
Chengzhi Mao
Lingyu Zhang
Abhishek Joshi
Junfeng Yang
Hongya Wang
Carl Vondrick
BDL
AAML
29
7
0
12 Dec 2022
A soft nearest-neighbor framework for continual semi-supervised learning
A soft nearest-neighbor framework for continual semi-supervised learning
Zhiqi Kang
Enrico Fini
Moin Nabi
Elisa Ricci
Alahari Karteek
SSL
BDL
CLL
24
17
0
09 Dec 2022
Reconciling a Centroid-Hypothesis Conflict in Source-Free Domain
  Adaptation
Reconciling a Centroid-Hypothesis Conflict in Source-Free Domain Adaptation
I. Diamant
Roy H. Jennings
Oranit Dror
H. Habi
Arnon Netzer
28
2
0
07 Dec 2022
Adaptive Self-Training for Object Detection
Adaptive Self-Training for Object Detection
Renaud Vandeghen
Gilles Louppe
Marc Van Droogenbroeck
ObjD
38
7
0
07 Dec 2022
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