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. 2001.07685
  4. Cited By
FixMatch: Simplifying Semi-Supervised Learning with Consistency and
  Confidence

FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence

21 January 2020
Kihyuk Sohn
David Berthelot
Chun-Liang Li
Zizhao Zhang
Nicholas Carlini
E. D. Cubuk
Alexey Kurakin
Han Zhang
Colin Raffel
    AAML
ArXivPDFHTML

Papers citing "FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence"

46 / 496 papers shown
Title
Semi-supervised Left Atrium Segmentation with Mutual Consistency
  Training
Semi-supervised Left Atrium Segmentation with Mutual Consistency Training
Yicheng Wu
Minfeng Xu
Z. Ge
Jianfei Cai
Lei Zhang
13
205
0
04 Mar 2021
Adaptive Consistency Regularization for Semi-Supervised Transfer
  Learning
Adaptive Consistency Regularization for Semi-Supervised Transfer Learning
Abulikemu Abuduweili
Xingjian Li
Humphrey Shi
Chengzhong Xu
Dejing Dou
35
77
0
03 Mar 2021
Pseudo-labeling for Scalable 3D Object Detection
Pseudo-labeling for Scalable 3D Object Detection
Benjamin Caine
Rebecca Roelofs
Vijay Vasudevan
Jiquan Ngiam
Yuning Chai
Z. Chen
Jonathon Shlens
29
41
0
02 Mar 2021
Generalizing to Unseen Domains: A Survey on Domain Generalization
Generalizing to Unseen Domains: A Survey on Domain Generalization
Jindong Wang
Cuiling Lan
Chang-Shu Liu
Yidong Ouyang
Tao Qin
Wang Lu
Yiqiang Chen
Wenjun Zeng
Philip S. Yu
OOD
54
1,169
0
02 Mar 2021
Emerging Trends in Federated Learning: From Model Fusion to Federated X
  Learning
Emerging Trends in Federated Learning: From Model Fusion to Federated X Learning
Shaoxiong Ji
Yue Tan
Teemu Saravirta
Zhiqin Yang
Yixin Liu
Lauri Vasankari
Shirui Pan
Guodong Long
A. Walid
FedML
31
76
0
25 Feb 2021
Self-Tuning for Data-Efficient Deep Learning
Self-Tuning for Data-Efficient Deep Learning
Ximei Wang
Jing Gao
Mingsheng Long
Jianmin Wang
BDL
24
69
0
25 Feb 2021
CReST: A Class-Rebalancing Self-Training Framework for Imbalanced
  Semi-Supervised Learning
CReST: A Class-Rebalancing Self-Training Framework for Imbalanced Semi-Supervised Learning
Chen Wei
Kihyuk Sohn
Clayton Mellina
Alan Yuille
Fan Yang
CLL
26
256
0
18 Feb 2021
Unbiased Teacher for Semi-Supervised Object Detection
Unbiased Teacher for Semi-Supervised Object Detection
Yen-Cheng Liu
Chih-Yao Ma
Zijian He
Chia-Wen Kuo
Kan Chen
Peizhao Zhang
Bichen Wu
Z. Kira
Peter Vajda
48
472
0
18 Feb 2021
ReRankMatch: Semi-Supervised Learning with Semantics-Oriented Similarity
  Representation
ReRankMatch: Semi-Supervised Learning with Semantics-Oriented Similarity Representation
T. Tran
Mingu Kang
Daeyoung Kim
4
1
0
12 Feb 2021
Self-supervised driven consistency training for annotation efficient
  histopathology image analysis
Self-supervised driven consistency training for annotation efficient histopathology image analysis
C. Srinidhi
Seung Wook Kim
Fu-Der Chen
Anne L. Martel
SSL
19
109
0
07 Feb 2021
Exponential Moving Average Normalization for Self-supervised and
  Semi-supervised Learning
Exponential Moving Average Normalization for Self-supervised and Semi-supervised Learning
Zhaowei Cai
Avinash Ravichandran
Subhransu Maji
Charless C. Fowlkes
Z. Tu
Stefano Soatto
36
118
0
21 Jan 2021
Momentum^2 Teacher: Momentum Teacher with Momentum Statistics for
  Self-Supervised Learning
Momentum^2 Teacher: Momentum Teacher with Momentum Statistics for Self-Supervised Learning
Zeming Li
Songtao Liu
Jian-jun Sun
42
16
0
19 Jan 2021
AutoDropout: Learning Dropout Patterns to Regularize Deep Networks
AutoDropout: Learning Dropout Patterns to Regularize Deep Networks
Hieu H. Pham
Quoc V. Le
70
56
0
05 Jan 2021
EC-GAN: Low-Sample Classification using Semi-Supervised Algorithms and
  GANs
EC-GAN: Low-Sample Classification using Semi-Supervised Algorithms and GANs
Ayaan Haque
GAN
11
32
0
26 Dec 2020
Seed the Views: Hierarchical Semantic Alignment for Contrastive
  Representation Learning
Seed the Views: Hierarchical Semantic Alignment for Contrastive Representation Learning
Haohang Xu
Xiaopeng Zhang
Hao Li
Lingxi Xie
H. Xiong
Qi Tian
SSL
8
12
0
04 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
15
23
0
27 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
27
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
25
113
0
23 Nov 2020
Boosting Contrastive Self-Supervised Learning with False Negative
  Cancellation
Boosting Contrastive Self-Supervised Learning with False Negative Cancellation
T. Huynh
Simon Kornblith
Matthew R. Walter
Michael Maire
M. Khademi
SSL
11
165
0
23 Nov 2020
CoMatch: Semi-supervised Learning with Contrastive Graph Regularization
CoMatch: Semi-supervised Learning with Contrastive Graph Regularization
Junnan Li
Caiming Xiong
S. Hoi
SSL
19
252
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
34
24
0
21 Nov 2020
Hybrid Consistency Training with Prototype Adaptation for Few-Shot
  Learning
Hybrid Consistency Training with Prototype Adaptation for Few-Shot Learning
Meng Ye
Xiaoyu Lin
Giedrius Burachas
Ajay Divakaran
Yi Yao
12
2
0
19 Nov 2020
Geography-Aware Self-Supervised Learning
Geography-Aware Self-Supervised Learning
Kumar Ayush
Burak Uzkent
Chenlin Meng
Kumar Tanmay
Marshall Burke
David B. Lobell
Stefano Ermon
SSL
25
227
0
19 Nov 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
16
26
0
12 Oct 2020
Parametric UMAP embeddings for representation and semi-supervised
  learning
Parametric UMAP embeddings for representation and semi-supervised learning
Tim Sainburg
Leland McInnes
T. Gentner
23
214
0
27 Sep 2020
Commands 4 Autonomous Vehicles (C4AV) Workshop Summary
Commands 4 Autonomous Vehicles (C4AV) Workshop Summary
Thierry Deruyttere
Simon Vandenhende
Dusan Grujicic
Yu Liu
Luc Van Gool
Matthew Blaschko
Tinne Tuytelaars
Marie-Francine Moens
22
6
0
18 Sep 2020
Learning to Cluster under Domain Shift
Learning to Cluster under Domain Shift
Willi Menapace
Stéphane Lathuilière
Elisa Ricci
OOD
19
14
0
11 Aug 2020
Distribution Aligning Refinery of Pseudo-label for Imbalanced
  Semi-supervised Learning
Distribution Aligning Refinery of Pseudo-label for Imbalanced Semi-supervised Learning
Jaehyung Kim
Youngbum Hur
Sejun Park
Eunho Yang
Sung Ju Hwang
Jinwoo Shin
8
159
0
17 Jul 2020
ClassMix: Segmentation-Based Data Augmentation for Semi-Supervised
  Learning
ClassMix: Segmentation-Based Data Augmentation for Semi-Supervised Learning
Viktor Olsson
Wilhelm Tranheden
Juliano Pinto
Lennart Svensson
22
330
0
15 Jul 2020
Not All Unlabeled Data are Equal: Learning to Weight Data in
  Semi-supervised Learning
Not All Unlabeled Data are Equal: Learning to Weight Data in Semi-supervised Learning
Zhongzheng Ren
Raymond A. Yeh
A. Schwing
20
95
0
02 Jul 2020
Boosting Active Learning for Speech Recognition with Noisy
  Pseudo-labeled Samples
Boosting Active Learning for Speech Recognition with Noisy Pseudo-labeled Samples
Jihwan Bang
Heesu Kim
Y. Yoo
Jung-Woo Ha
9
2
0
19 Jun 2020
Bootstrap your own latent: A new approach to self-supervised Learning
Bootstrap your own latent: A new approach to self-supervised Learning
Jean-Bastien Grill
Florian Strub
Florent Altché
Corentin Tallec
Pierre Harvey Richemond
...
M. G. Azar
Bilal Piot
Koray Kavukcuoglu
Rémi Munos
Michal Valko
SSL
60
6,643
0
13 Jun 2020
High-contrast "gaudy" images improve the training of deep neural network
  models of visual cortex
High-contrast "gaudy" images improve the training of deep neural network models of visual cortex
Benjamin R. Cowley
Jonathan W. Pillow
8
10
0
13 Jun 2020
Rethinking Pre-training and Self-training
Rethinking Pre-training and Self-training
Barret Zoph
Golnaz Ghiasi
Tsung-Yi Lin
Yin Cui
Hanxiao Liu
E. D. Cubuk
Quoc V. Le
SSeg
24
645
0
11 Jun 2020
An Overview of Deep Semi-Supervised Learning
An Overview of Deep Semi-Supervised Learning
Yassine Ouali
C´eline Hudelot
Myriam Tami
SSL
HAI
19
294
0
09 Jun 2020
Modularizing Deep Learning via Pairwise Learning With Kernels
Modularizing Deep Learning via Pairwise Learning With Kernels
Shiyu Duan
Shujian Yu
José C. Príncipe
MoMe
25
20
0
12 May 2020
A Simple Semi-Supervised Learning Framework for Object Detection
A Simple Semi-Supervised Learning Framework for Object Detection
Kihyuk Sohn
Zizhao Zhang
Chun-Liang Li
Han Zhang
Chen-Yu Lee
Tomas Pfister
21
492
0
10 May 2020
Meta Pseudo Labels
Meta Pseudo Labels
Hieu H. Pham
Zihang Dai
Qizhe Xie
Minh-Thang Luong
Quoc V. Le
VLM
253
656
0
23 Mar 2020
Boosting Unconstrained Face Recognition with Auxiliary Unlabeled Data
Boosting Unconstrained Face Recognition with Auxiliary Unlabeled Data
Yichun Shi
Anil K. Jain
CVBM
45
1
0
17 Mar 2020
Understanding Self-Training for Gradual Domain Adaptation
Understanding Self-Training for Gradual Domain Adaptation
Ananya Kumar
Tengyu Ma
Percy Liang
CLL
TTA
28
226
0
26 Feb 2020
A Simple Framework for Contrastive Learning of Visual Representations
A Simple Framework for Contrastive Learning of Visual Representations
Ting-Li Chen
Simon Kornblith
Mohammad Norouzi
Geoffrey E. Hinton
SSL
63
18,277
0
13 Feb 2020
Big Transfer (BiT): General Visual Representation Learning
Big Transfer (BiT): General Visual Representation Learning
Alexander Kolesnikov
Lucas Beyer
Xiaohua Zhai
J. Puigcerver
Jessica Yung
Sylvain Gelly
N. Houlsby
MQ
56
1,183
0
24 Dec 2019
Triple Generative Adversarial Networks
Triple Generative Adversarial Networks
Chongxuan Li
Kun Xu
Jiashuo Liu
Jun Zhu
Bo Zhang
GAN
16
41
0
20 Dec 2019
Semi-Supervised Learning with Scarce Annotations
Semi-Supervised Learning with Scarce Annotations
Sylvestre-Alvise Rebuffi
Sébastien Ehrhardt
Kai Han
Andrea Vedaldi
Andrew Zisserman
SSL
13
49
0
21 May 2019
Interpolation Consistency Training for Semi-Supervised Learning
Interpolation Consistency Training for Semi-Supervised Learning
Vikas Verma
Kenji Kawaguchi
Alex Lamb
Juho Kannala
Arno Solin
Yoshua Bengio
David Lopez-Paz
19
756
0
09 Mar 2019
Mean teachers are better role models: Weight-averaged consistency
  targets improve semi-supervised deep learning results
Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results
Antti Tarvainen
Harri Valpola
OOD
MoMe
261
1,275
0
06 Mar 2017
Previous
123...1089