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

19 / 569 papers shown
Title
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
36
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
Self-training Avoids Using Spurious Features Under Domain Shift
Self-training Avoids Using Spurious Features Under Domain Shift
Yining Chen
Colin Wei
Ananya Kumar
Tengyu Ma
OOD
19
84
0
17 Jun 2020
Unsupervised Learning of Visual Features by Contrasting Cluster
  Assignments
Unsupervised Learning of Visual Features by Contrasting Cluster Assignments
Mathilde Caron
Ishan Misra
Julien Mairal
Priya Goyal
Piotr Bojanowski
Armand Joulin
OCL
SSL
48
3,998
0
17 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
101
6,655
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
24
10
0
13 Jun 2020
Rethinking Pre-training and Self-training
Rethinking Pre-training and Self-training
Barret Zoph
Golnaz Ghiasi
Nayeon Lee
Huayu Chen
Hanxiao Liu
E. D. Cubuk
Quoc V. Le
SSeg
39
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
24
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
27
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
32
493
0
10 May 2020
Meta Pseudo Labels
Meta Pseudo Labels
Hieu H. Pham
Zihang Dai
Qizhe Xie
Minh-Thang Luong
Quoc V. Le
VLM
256
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
48
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
78
18,314
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
76
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
31
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
24
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
Arno Solin
Arno Solin
Yoshua Bengio
David Lopez-Paz
39
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
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