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Self-Contrastive Learning: Single-viewed Supervised Contrastive
  Framework using Sub-network
v1v2v3v4v5v6 (latest)

Self-Contrastive Learning: Single-viewed Supervised Contrastive Framework using Sub-network

29 June 2021
Sangmin Bae
Sungnyun Kim
Jongwoo Ko
Gihun Lee
SeungJong Noh
Se-Young Yun
    SSL
ArXiv (abs)PDFHTMLGithub (20★)

Papers citing "Self-Contrastive Learning: Single-viewed Supervised Contrastive Framework using Sub-network"

33 / 33 papers shown
Title
Targeted Supervised Contrastive Learning for Long-Tailed Recognition
Targeted Supervised Contrastive Learning for Long-Tailed Recognition
Tianhong Li
Peng Cao
Yuan. Yuan
Lijie Fan
Yuzhe Yang
Rogerio Feris
Piotr Indyk
Dina Katabi
113
182
0
27 Nov 2021
Intermediate Layers Matter in Momentum Contrastive Self Supervised
  Learning
Intermediate Layers Matter in Momentum Contrastive Self Supervised Learning
Aakash Kaku
Sahana Upadhya
N. Razavian
SSL
77
29
0
27 Oct 2021
Decomposed Mutual Information Estimation for Contrastive Representation
  Learning
Decomposed Mutual Information Estimation for Contrastive Representation Learning
Alessandro Sordoni
Nouha Dziri
Hannes Schulz
Geoffrey J. Gordon
Philip Bachman
Rémi Tachet des Combes
SSL
75
30
0
25 Jun 2021
DisCo: Remedy Self-supervised Learning on Lightweight Models with
  Distilled Contrastive Learning
DisCo: Remedy Self-supervised Learning on Lightweight Models with Distilled Contrastive Learning
Yuting Gao
Jia-Xin Zhuang
Xiaowei Guo
Hao Cheng
Xing Sun
Ke Li
Feiyue Huang
101
40
0
19 Apr 2021
Exploring Cross-Image Pixel Contrast for Semantic Segmentation
Exploring Cross-Image Pixel Contrast for Semantic Segmentation
Wenguan Wang
Tianfei Zhou
Feng Yu
Jifeng Dai
E. Konukoglu
Luc Van Gool
196
482
0
28 Jan 2021
SEED: Self-supervised Distillation For Visual Representation
SEED: Self-supervised Distillation For Visual Representation
Zhiyuan Fang
Jianfeng Wang
Lijuan Wang
Lei Zhang
Yezhou Yang
Zicheng Liu
SSL
301
194
0
12 Jan 2021
Exploring Simple Siamese Representation Learning
Exploring Simple Siamese Representation Learning
Xinlei Chen
Kaiming He
SSL
258
4,076
0
20 Nov 2020
Towards Domain-Agnostic Contrastive Learning
Towards Domain-Agnostic Contrastive Learning
Vikas Verma
Minh-Thang Luong
Kenji Kawaguchi
Hieu H. Pham
Quoc V. Le
SSL
84
119
0
09 Nov 2020
Supervised Contrastive Learning for Pre-trained Language Model
  Fine-tuning
Supervised Contrastive Learning for Pre-trained Language Model Fine-tuning
Beliz Gunel
Jingfei Du
Alexis Conneau
Ves Stoyanov
63
507
0
03 Nov 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
OCLSSL
278
4,101
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
405
6,844
0
13 Jun 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
118
1,337
0
20 May 2020
Supervised Contrastive Learning
Supervised Contrastive Learning
Prannay Khosla
Piotr Teterwak
Chen Wang
Aaron Sarna
Yonglong Tian
Phillip Isola
Aaron Maschinot
Ce Liu
Dilip Krishnan
SSL
180
4,580
0
23 Apr 2020
Momentum Contrast for Unsupervised Visual Representation Learning
Momentum Contrast for Unsupervised Visual Representation Learning
Kaiming He
Haoqi Fan
Yuxin Wu
Saining Xie
Ross B. Girshick
SSL
216
12,136
0
13 Nov 2019
Contrastive Representation Distillation
Contrastive Representation Distillation
Yonglong Tian
Dilip Krishnan
Phillip Isola
176
1,054
0
23 Oct 2019
RandAugment: Practical automated data augmentation with a reduced search
  space
RandAugment: Practical automated data augmentation with a reduced search space
E. D. Cubuk
Barret Zoph
Jonathon Shlens
Quoc V. Le
MQ
260
3,505
0
30 Sep 2019
Contrastive Multiview Coding
Contrastive Multiview Coding
Yonglong Tian
Dilip Krishnan
Phillip Isola
SSL
182
2,409
0
13 Jun 2019
Learning Representations by Maximizing Mutual Information Across Views
Learning Representations by Maximizing Mutual Information Across Views
Philip Bachman
R. Devon Hjelm
William Buchwalter
SSL
195
1,479
0
03 Jun 2019
Be Your Own Teacher: Improve the Performance of Convolutional Neural
  Networks via Self Distillation
Be Your Own Teacher: Improve the Performance of Convolutional Neural Networks via Self Distillation
Linfeng Zhang
Jiebo Song
Anni Gao
Jingwei Chen
Chenglong Bao
Kaisheng Ma
FedML
76
865
0
17 May 2019
Learning deep representations by mutual information estimation and
  maximization
Learning deep representations by mutual information estimation and maximization
R. Devon Hjelm
A. Fedorov
Samuel Lavoie-Marchildon
Karan Grewal
Phil Bachman
Adam Trischler
Yoshua Bengio
SSLDRL
352
2,672
0
20 Aug 2018
Knowledge Distillation by On-the-Fly Native Ensemble
Knowledge Distillation by On-the-Fly Native Ensemble
Xu Lan
Xiatian Zhu
S. Gong
298
480
0
12 Jun 2018
Encoder-Decoder with Atrous Separable Convolution for Semantic Image
  Segmentation
Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation
Liang-Chieh Chen
Yukun Zhu
George Papandreou
Florian Schroff
Hartwig Adam
SSeg
490
13,194
0
07 Feb 2018
Large Batch Training of Convolutional Networks
Large Batch Training of Convolutional Networks
Yang You
Igor Gitman
Boris Ginsburg
ODL
141
852
0
13 Aug 2017
Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour
Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour
Priya Goyal
Piotr Dollár
Ross B. Girshick
P. Noordhuis
Lukasz Wesolowski
Aapo Kyrola
Andrew Tulloch
Yangqing Jia
Kaiming He
3DH
128
3,685
0
08 Jun 2017
Adaptive Neural Networks for Efficient Inference
Adaptive Neural Networks for Efficient Inference
Tolga Bolukbasi
Joseph Wang
O. Dekel
Venkatesh Saligrama
55
357
0
25 Feb 2017
Large-Margin Softmax Loss for Convolutional Neural Networks
Large-Margin Softmax Loss for Convolutional Neural Networks
Weiyang Liu
Yandong Wen
Zhiding Yu
Meng Yang
CVBM
84
1,457
0
07 Dec 2016
SGDR: Stochastic Gradient Descent with Warm Restarts
SGDR: Stochastic Gradient Descent with Warm Restarts
I. Loshchilov
Frank Hutter
ODL
350
8,179
0
13 Aug 2016
Wide Residual Networks
Wide Residual Networks
Sergey Zagoruyko
N. Komodakis
358
8,002
0
23 May 2016
Semi-Supervised Learning with Ladder Networks
Semi-Supervised Learning with Ladder Networks
Antti Rasmus
Harri Valpola
Mikko Honkala
Mathias Berglund
T. Raiko
SSL
104
1,372
0
09 Jul 2015
Deep Learning and the Information Bottleneck Principle
Deep Learning and the Information Bottleneck Principle
Naftali Tishby
Noga Zaslavsky
DRL
220
1,595
0
09 Mar 2015
Deeply-Supervised Nets
Deeply-Supervised Nets
Chen-Yu Lee
Saining Xie
Patrick W. Gallagher
Zhengyou Zhang
Zhuowen Tu
354
2,243
0
18 Sep 2014
Visualizing and Understanding Convolutional Networks
Visualizing and Understanding Convolutional Networks
Matthew D. Zeiler
Rob Fergus
FAttSSL
603
15,907
0
12 Nov 2013
Fine-Grained Visual Classification of Aircraft
Fine-Grained Visual Classification of Aircraft
Subhransu Maji
Esa Rahtu
Arno Solin
Matthew Blaschko
Andrea Vedaldi
132
2,272
0
21 Jun 2013
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