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S4L: Self-Supervised Semi-Supervised Learning

S4L: Self-Supervised Semi-Supervised Learning

9 May 2019
Xiaohua Zhai
Avital Oliver
Alexander Kolesnikov
Lucas Beyer
    SSL
    VLM
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Papers citing "S4L: Self-Supervised Semi-Supervised Learning"

36 / 186 papers shown
Title
Are we done with ImageNet?
Are we done with ImageNet?
Lucas Beyer
Olivier J. Hénaff
Alexander Kolesnikov
Xiaohua Zhai
Aaron van den Oord
VLM
19
397
0
12 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
48
645
0
11 Jun 2020
VirTex: Learning Visual Representations from Textual Annotations
VirTex: Learning Visual Representations from Textual Annotations
Karan Desai
Justin Johnson
SSL
VLM
30
432
0
11 Jun 2020
Self-Supervised Learning Aided Class-Incremental Lifelong Learning
Self-Supervised Learning Aided Class-Incremental Lifelong Learning
Song Zhang
Gehui Shen
Jinsong Huang
Zhihong Deng
CLL
33
14
0
10 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
27
294
0
09 Jun 2020
Naive-Student: Leveraging Semi-Supervised Learning in Video Sequences
  for Urban Scene Segmentation
Naive-Student: Leveraging Semi-Supervised Learning in Video Sequences for Urban Scene Segmentation
Liang-Chieh Chen
Raphael Gontijo-Lopes
Bowen Cheng
Maxwell D. Collins
E. D. Cubuk
Barret Zoph
Hartwig Adam
Jonathon Shlens
28
76
0
20 May 2020
What Makes for Good Views for Contrastive Learning?
What Makes for Good Views for Contrastive Learning?
Yonglong Tian
Chen Sun
Ben Poole
Dilip Krishnan
Cordelia Schmid
Phillip Isola
SSL
39
1,307
0
20 May 2020
Prototypical Contrastive Learning of Unsupervised Representations
Prototypical Contrastive Learning of Unsupervised Representations
Junnan Li
Pan Zhou
Caiming Xiong
Guosheng Lin
SSL
DRL
87
956
0
11 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
38
493
0
10 May 2020
Does Visual Self-Supervision Improve Learning of Speech Representations
  for Emotion Recognition?
Does Visual Self-Supervision Improve Learning of Speech Representations for Emotion Recognition?
Abhinav Shukla
Stavros Petridis
M. Pantic
SSL
32
28
0
04 May 2020
StRDAN: Synthetic-to-Real Domain Adaptation Network for Vehicle
  Re-Identification
StRDAN: Synthetic-to-Real Domain Adaptation Network for Vehicle Re-Identification
Sangrok Lee
Eunsoo Park
Hongsuk Yi
Sang Hun Lee
21
33
0
25 Apr 2020
A Survey of Deep Learning for Scientific Discovery
A Survey of Deep Learning for Scientific Discovery
M. Raghu
Erica Schmidt
OOD
AI4CE
38
120
0
26 Mar 2020
Meta Pseudo Labels
Meta Pseudo Labels
Hieu H. Pham
Zihang Dai
Qizhe Xie
Minh-Thang Luong
Quoc V. Le
VLM
262
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
Learning Representations by Predicting Bags of Visual Words
Learning Representations by Predicting Bags of Visual Words
Spyros Gidaris
Andrei Bursuc
N. Komodakis
P. Pérez
Matthieu Cord
SSL
28
117
0
27 Feb 2020
Towards Robust and Reproducible Active Learning Using Neural Networks
Towards Robust and Reproducible Active Learning Using Neural Networks
Prateek Munjal
Nasir Hayat
Munawar Hayat
J. Sourati
Shadab Khan
UQCV
25
67
0
21 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
Improved Consistency Regularization for GANs
Improved Consistency Regularization for GANs
Zhengli Zhao
Sameer Singh
Honglak Lee
Zizhao Zhang
Augustus Odena
Han Zhang
32
153
0
11 Feb 2020
Semi-Supervised Class Discovery
Semi-Supervised Class Discovery
Jeremy Nixon
J. Liu
David Berthelot
17
2
0
10 Feb 2020
FixMatch: Simplifying Semi-Supervised Learning with Consistency and
  Confidence
FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence
Kihyuk Sohn
David Berthelot
Chun-Liang Li
Zizhao Zhang
Nicholas Carlini
E. D. Cubuk
Alexey Kurakin
Han Zhang
Colin Raffel
AAML
104
3,467
0
21 Jan 2020
Curriculum Labeling: Revisiting Pseudo-Labeling for Semi-Supervised
  Learning
Curriculum Labeling: Revisiting Pseudo-Labeling for Semi-Supervised Learning
Paola Cascante-Bonilla
Fuwen Tan
Yanjun Qi
Vicente Ordonez
ODL
47
23
0
16 Jan 2020
Proposal Learning for Semi-Supervised Object Detection
Proposal Learning for Semi-Supervised Object Detection
Peng Tang
Chetan Ramaiah
Yan Wang
Ran Xu
Caiming Xiong
28
100
0
15 Jan 2020
Discriminative Clustering with Representation Learning with any Ratio of
  Labeled to Unlabeled Data
Discriminative Clustering with Representation Learning with any Ratio of Labeled to Unlabeled Data
Corinne Jones
Vincent Roulet
Zaïd Harchaoui
36
1
0
30 Dec 2019
A simple baseline for domain adaptation using rotation prediction
A simple baseline for domain adaptation using rotation prediction
Ajinkya Tejankar
Hamed Pirsiavash
SSL
25
5
0
26 Dec 2019
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
100
1,183
0
24 Dec 2019
Parting with Illusions about Deep Active Learning
Parting with Illusions about Deep Active Learning
Sudhanshu Mittal
Maxim Tatarchenko
Özgün Çiçek
Thomas Brox
VLM
21
59
0
11 Dec 2019
Self-training with Noisy Student improves ImageNet classification
Self-training with Noisy Student improves ImageNet classification
Qizhe Xie
Minh-Thang Luong
Eduard H. Hovy
Quoc V. Le
NoLa
58
2,362
0
11 Nov 2019
Consistency Regularization for Generative Adversarial Networks
Consistency Regularization for Generative Adversarial Networks
Han Zhang
Zizhao Zhang
Augustus Odena
Honglak Lee
GAN
22
284
0
26 Oct 2019
When Does Self-supervision Improve Few-shot Learning?
When Does Self-supervision Improve Few-shot Learning?
Jong-Chyi Su
Subhransu Maji
B. Hariharan
22
168
0
08 Oct 2019
Charting the Right Manifold: Manifold Mixup for Few-shot Learning
Charting the Right Manifold: Manifold Mixup for Few-shot Learning
Puneet Mangla
M. Singh
Abhishek Sinha
Nupur Kumari
V. Balasubramanian
Balaji Krishnamurthy
SSL
8
327
0
28 Jul 2019
Local Label Propagation for Large-Scale Semi-Supervised Learning
Local Label Propagation for Large-Scale Semi-Supervised Learning
Chengxu Zhuang
Xuehao Ding
Divyanshu Murli
Daniel L. K. Yamins
SSL
30
11
0
28 May 2019
Data-Efficient Image Recognition with Contrastive Predictive Coding
Data-Efficient Image Recognition with Contrastive Predictive Coding
Olivier J. Hénaff
A. Srinivas
J. Fauw
Ali Razavi
Carl Doersch
S. M. Ali Eslami
Aaron van den Oord
SSL
58
1,415
0
22 May 2019
High-Fidelity Image Generation With Fewer Labels
High-Fidelity Image Generation With Fewer Labels
Mario Lucic
Michael Tschannen
Marvin Ritter
Xiaohua Zhai
Olivier Bachem
Sylvain Gelly
GAN
OOD
36
157
0
06 Mar 2019
There Are Many Consistent Explanations of Unlabeled Data: Why You Should
  Average
There Are Many Consistent Explanations of Unlabeled Data: Why You Should Average
Ben Athiwaratkun
Marc Finzi
Pavel Izmailov
A. Wilson
205
243
0
14 Jun 2018
Boosting Self-Supervised Learning via Knowledge Transfer
Boosting Self-Supervised Learning via Knowledge Transfer
M. Noroozi
Ananth Vinjimoor
Paolo Favaro
Hamed Pirsiavash
SSL
212
292
0
01 May 2018
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
267
1,275
0
06 Mar 2017
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