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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
ProtIR: Iterative Refinement between Retrievers and Predictors for
  Protein Function Annotation
ProtIR: Iterative Refinement between Retrievers and Predictors for Protein Function Annotation
Zuobai Zhang
Jiarui Lu
Vijil Chenthamarakshan
Aurélie C. Lozano
Payel Das
Jian Tang
26
1
0
10 Feb 2024
Domain Adaptation Using Pseudo Labels
Domain Adaptation Using Pseudo Labels
S. Chhabra
Hemanth Venkateswara
Baoxin Li
27
1
0
09 Feb 2024
Memory Consistency Guided Divide-and-Conquer Learning for Generalized
  Category Discovery
Memory Consistency Guided Divide-and-Conquer Learning for Generalized Category Discovery
Yuanpeng Tu
Zhun Zhong
Yuxi Li
Hengshuang Zhao
38
0
0
24 Jan 2024
Learning with Noisy Labels: Interconnection of Two
  Expectation-Maximizations
Learning with Noisy Labels: Interconnection of Two Expectation-Maximizations
Heewon Kim
Hyun Sung Chang
Kiho Cho
Jaeyun Lee
Bohyung Han
NoLa
26
2
0
09 Jan 2024
FlexSSL : A Generic and Efficient Framework for Semi-Supervised Learning
FlexSSL : A Generic and Efficient Framework for Semi-Supervised Learning
Huiling Qin
Xianyuan Zhan
Yuanxun Li
Yu Zheng
30
0
0
28 Dec 2023
Semi-supervised Active Learning for Video Action Detection
Semi-supervised Active Learning for Video Action Detection
Aayush Singh
A. J. Rana
Akash Kumar
Shruti Vyas
Y. S. Rawat
33
7
0
12 Dec 2023
Mixed Pseudo Labels for Semi-Supervised Object Detection
Mixed Pseudo Labels for Semi-Supervised Object Detection
Ze-Yi Chen
Wenwei Zhang
Xinjiang Wang
Kai Chen
Zhi Wang
ObjD
40
10
0
12 Dec 2023
FAGC:Feature Augmentation on Geodesic Curve in the Pre-Shape Space
FAGC:Feature Augmentation on Geodesic Curve in the Pre-Shape Space
Yuexing Han
Guanxin Wan
Bing Wang
21
5
0
06 Dec 2023
2D Feature Distillation for Weakly- and Semi-Supervised 3D Semantic
  Segmentation
2D Feature Distillation for Weakly- and Semi-Supervised 3D Semantic Segmentation
Ozan Unal
Dengxin Dai
Lukas Hoyer
Y. Can
Luc Van Gool
3DPC
18
5
0
27 Nov 2023
Density-Guided Dense Pseudo Label Selection For Semi-supervised Oriented
  Object Detection
Density-Guided Dense Pseudo Label Selection For Semi-supervised Oriented Object Detection
Tong Zhao
Qiang Fang
Shuohao Shi
Xin Xu
36
2
0
21 Nov 2023
Refining the ONCE Benchmark with Hyperparameter Tuning
Refining the ONCE Benchmark with Hyperparameter Tuning
Maksim Golyadkin
Alexander Gambashidze
Ildar Nurgaliev
Ilya Makarov
31
1
0
10 Nov 2023
Interpreting Pretrained Language Models via Concept Bottlenecks
Interpreting Pretrained Language Models via Concept Bottlenecks
Zhen Tan
Lu Cheng
Song Wang
Yuan Bo
Wenlin Yao
Huan Liu
LRM
32
20
0
08 Nov 2023
Debiasing, calibrating, and improving Semi-supervised Learning
  performance via simple Ensemble Projector
Debiasing, calibrating, and improving Semi-supervised Learning performance via simple Ensemble Projector
Khanh-Binh Nguyen
27
2
0
24 Oct 2023
Semi-supervised multimodal coreference resolution in image narrations
Semi-supervised multimodal coreference resolution in image narrations
A. Goel
Basura Fernando
Frank Keller
Hakan Bilen
38
3
0
20 Oct 2023
Random Matrix Analysis to Balance between Supervised and Unsupervised
  Learning under the Low Density Separation Assumption
Random Matrix Analysis to Balance between Supervised and Unsupervised Learning under the Low Density Separation Assumption
Vasilii Feofanov
Malik Tiomoko
Aladin Virmaux
31
5
0
20 Oct 2023
CAST: Cluster-Aware Self-Training for Tabular Data
CAST: Cluster-Aware Self-Training for Tabular Data
Minwook Kim
Juseong Kim
Kibeom Kim
Giltae Song
33
0
0
10 Oct 2023
A review of uncertainty quantification in medical image analysis:
  probabilistic and non-probabilistic methods
A review of uncertainty quantification in medical image analysis: probabilistic and non-probabilistic methods
Ling Huang
S. Ruan
Yucheng Xing
Mengling Feng
41
20
0
09 Oct 2023
Transferable Availability Poisoning Attacks
Transferable Availability Poisoning Attacks
Yiyong Liu
Michael Backes
Xiao Zhang
AAML
19
3
0
08 Oct 2023
SemiReward: A General Reward Model for Semi-supervised Learning
SemiReward: A General Reward Model for Semi-supervised Learning
Siyuan Li
Weiyang Jin
Zedong Wang
Fang Wu
Zicheng Liu
Cheng Tan
Stan Z. Li
38
9
0
04 Oct 2023
AMPLIFY:Attention-based Mixup for Performance Improvement and Label
  Smoothing in Transformer
AMPLIFY:Attention-based Mixup for Performance Improvement and Label Smoothing in Transformer
Leixin Yang
Yu Xiang
28
0
0
22 Sep 2023
Improving Image Classification of Knee Radiographs: An Automated Image
  Labeling Approach
Improving Image Classification of Knee Radiographs: An Automated Image Labeling Approach
Jikai Zhang
Carlos Santos
Christine Park
Maciej Mazurowski
R. Colglazier
24
2
0
06 Sep 2023
SSVOD: Semi-Supervised Video Object Detection with Sparse Annotations
SSVOD: Semi-Supervised Video Object Detection with Sparse Annotations
Tanvir Mahmud
Chun-Hao Liu
Burhaneddin Yaman
Diana Marculescu
15
4
0
04 Sep 2023
ReLLa: Retrieval-enhanced Large Language Models for Lifelong Sequential
  Behavior Comprehension in Recommendation
ReLLa: Retrieval-enhanced Large Language Models for Lifelong Sequential Behavior Comprehension in Recommendation
Jianghao Lin
Rongjie Shan
Chenxu Zhu
Kounianhua Du
Bo Chen
Shigang Quan
Ruiming Tang
Yong Yu
Weinan Zhang
LRM
40
78
0
22 Aug 2023
GeT: Generative Target Structure Debiasing for Domain Adaptation
GeT: Generative Target Structure Debiasing for Domain Adaptation
Can Zhang
G. Lee
DiffM
34
2
0
20 Aug 2023
MarginMatch: Improving Semi-Supervised Learning with Pseudo-Margins
MarginMatch: Improving Semi-Supervised Learning with Pseudo-Margins
Tiberiu Sosea
Cornelia Caragea
16
12
0
17 Aug 2023
Alternative Pseudo-Labeling for Semi-Supervised Automatic Speech
  Recognition
Alternative Pseudo-Labeling for Semi-Supervised Automatic Speech Recognition
Hanjing Zhu
Dongji Gao
Gaofeng Cheng
Daniel Povey
Pengyuan Zhang
Yonghong Yan
NoLa
38
4
0
12 Aug 2023
Class-Specific Distribution Alignment for Semi-Supervised Medical Image
  Classification
Class-Specific Distribution Alignment for Semi-Supervised Medical Image Classification
Zhongzheng Huang
Jiawei Wu
Tao Wang
Zuoyong Li
Anastasia Ioannou
OOD
45
5
0
29 Jul 2023
Efficient Semi-Supervised Federated Learning for Heterogeneous
  Participants
Efficient Semi-Supervised Federated Learning for Heterogeneous Participants
Zhipeng Sun
Yang Xu
Hong-Ze Xu
Liusheng Huang
C. Qiao
FedML
25
0
0
29 Jul 2023
Improving Semi-Supervised Semantic Segmentation with Dual-Level Siamese
  Structure Network
Improving Semi-Supervised Semantic Segmentation with Dual-Level Siamese Structure Network
Zhibo Tain
Xiaolin Zhang
Peng Zhang
Kun Zhan
31
9
0
26 Jul 2023
Self-Supervised and Semi-Supervised Polyp Segmentation using Synthetic
  Data
Self-Supervised and Semi-Supervised Polyp Segmentation using Synthetic Data
Enric Moreu
Eric Arazo
Kevin McGuinness
Noel E. O'Connor
33
1
0
22 Jul 2023
Consistency-guided Meta-Learning for Bootstrapping Semi-Supervised
  Medical Image Segmentation
Consistency-guided Meta-Learning for Bootstrapping Semi-Supervised Medical Image Segmentation
Qingyue Wei
Lequan Yu
Xianhang Li
Wei Shao
Cihang Xie
Lei Xing
Yuyin Zhou
21
10
0
21 Jul 2023
UP-DP: Unsupervised Prompt Learning for Data Pre-Selection with
  Vision-Language Models
UP-DP: Unsupervised Prompt Learning for Data Pre-Selection with Vision-Language Models
Xin Li
Sima Behpour
T. Doan
Wenbin He
Liangke Gou
Liu Ren
VLM
50
3
0
20 Jul 2023
Dual-level Interaction for Domain Adaptive Semantic Segmentation
Dual-level Interaction for Domain Adaptive Semantic Segmentation
Dongyu Yao
Boheng Li
29
3
0
16 Jul 2023
SPLAL: Similarity-based pseudo-labeling with alignment loss for
  semi-supervised medical image classification
SPLAL: Similarity-based pseudo-labeling with alignment loss for semi-supervised medical image classification
Md Junaid Mahmood
Pranaw Raj
Divyansh Agarwal
S. Kumari
Pravendra Singh
31
7
0
10 Jul 2023
Training Ensembles with Inliers and Outliers for Semi-supervised Active
  Learning
Training Ensembles with Inliers and Outliers for Semi-supervised Active Learning
Vladan Stojnić
Zakaria Laskar
Giorgos Tolias
37
0
0
07 Jul 2023
Universal Semi-supervised Model Adaptation via Collaborative Consistency
  Training
Universal Semi-supervised Model Adaptation via Collaborative Consistency Training
Zizheng Yan
Yushuang Wu
Yipeng Qin
Xiaoguang Han
Shuguang Cui
Guanbin Li
39
1
0
07 Jul 2023
Pareto-Secure Machine Learning (PSML): Fingerprinting and Securing
  Inference Serving Systems
Pareto-Secure Machine Learning (PSML): Fingerprinting and Securing Inference Serving Systems
Debopam Sanyal
Jui-Tse Hung
Manavi Agrawal
Prahlad Jasti
Shahab Nikkhoo
S. Jha
Tianhao Wang
Sibin Mohan
Alexey Tumanov
42
0
0
03 Jul 2023
MILD: Modeling the Instance Learning Dynamics for Learning with Noisy
  Labels
MILD: Modeling the Instance Learning Dynamics for Learning with Noisy Labels
Chuanyan Hu
Shipeng Yan
Zhitong Gao
Xuming He
NoLa
24
4
0
20 Jun 2023
Semi-supervised Relation Extraction via Data Augmentation and
  Consistency-training
Semi-supervised Relation Extraction via Data Augmentation and Consistency-training
Komal K. Teru
37
5
0
16 Jun 2023
Semi-supervised learning made simple with self-supervised clustering
Semi-supervised learning made simple with self-supervised clustering
Enrico Fini
Pietro Astolfi
Alahari Karteek
Xavier Alameda-Pineda
Julien Mairal
Moin Nabi
Elisa Ricci
SSL
39
25
0
13 Jun 2023
Data Augmentation for Improving Tail-traffic Robustness in Skill-routing
  for Dialogue Systems
Data Augmentation for Improving Tail-traffic Robustness in Skill-routing for Dialogue Systems
Ting-Wei Wu
Fatemeh Sheikholeslami
Mohammad Kachuee
Jaeyoung Do
Sungjin Lee
20
0
0
07 Jun 2023
CorrMatch: Label Propagation via Correlation Matching for
  Semi-Supervised Semantic Segmentation
CorrMatch: Label Propagation via Correlation Matching for Semi-Supervised Semantic Segmentation
Bo Sun
Yuqi Yang
Le Zhang
Ming-Ming Cheng
Qibin Hou
29
25
0
07 Jun 2023
Instance-dependent Noisy-label Learning with Graphical Model Based
  Noise-rate Estimation
Instance-dependent Noisy-label Learning with Graphical Model Based Noise-rate Estimation
Arpit Garg
Cuong C. Nguyen
Rafael Felix
Thanh-Toan Do
G. Carneiro
NoLa
38
1
0
31 May 2023
BadLabel: A Robust Perspective on Evaluating and Enhancing Label-noise
  Learning
BadLabel: A Robust Perspective on Evaluating and Enhancing Label-noise Learning
Jingfeng Zhang
Bo Song
Haohan Wang
Bo Han
Tongliang Liu
Lei Liu
Masashi Sugiyama
AAML
NoLa
32
14
0
28 May 2023
Cross-supervised Dual Classifiers for Semi-supervised Medical Image
  Segmentation
Cross-supervised Dual Classifiers for Semi-supervised Medical Image Segmentation
Zhenxi Zhang
Ran Ran
Chunna Tian
Heng Zhou
Fan Yang
Xin Li
Zhicheng Jiao
31
2
0
25 May 2023
Rethinking Semi-supervised Learning with Language Models
Rethinking Semi-supervised Learning with Language Models
Zhengxiang Shi
Francesco Tonolini
Nikolaos Aletras
Emine Yilmaz
G. Kazai
Yunlong Jiao
32
18
0
22 May 2023
Imprecise Label Learning: A Unified Framework for Learning with Various
  Imprecise Label Configurations
Imprecise Label Learning: A Unified Framework for Learning with Various Imprecise Label Configurations
Hao Chen
Ankit Shah
Jindong Wang
R. Tao
Yidong Wang
Xingxu Xie
Masashi Sugiyama
Rita Singh
Bhiksha Raj
37
12
0
22 May 2023
Infinite Class Mixup
Infinite Class Mixup
Thomas Mensink
Pascal Mettes
29
2
0
17 May 2023
Learning Semi-supervised Gaussian Mixture Models for Generalized
  Category Discovery
Learning Semi-supervised Gaussian Mixture Models for Generalized Category Discovery
Bingchen Zhao
Xin Wen
Kai Han
33
46
0
10 May 2023
Class-Distribution-Aware Pseudo Labeling for Semi-Supervised Multi-Label
  Learning
Class-Distribution-Aware Pseudo Labeling for Semi-Supervised Multi-Label Learning
Ming-Kun Xie
Jianxiong Xiao
Hao-Zhe Liu
Gang Niu
Masashi Sugiyama
Sheng-Jun Huang
40
16
0
04 May 2023
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