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Energy-Based Contrastive Learning of Visual Representations

Energy-Based Contrastive Learning of Visual Representations

10 February 2022
Beomsu Kim
Jong Chul Ye
ArXivPDFHTML

Papers citing "Energy-Based Contrastive Learning of Visual Representations"

25 / 25 papers shown
Title
A Unified Contrastive Energy-based Model for Understanding the
  Generative Ability of Adversarial Training
A Unified Contrastive Energy-based Model for Understanding the Generative Ability of Adversarial Training
Yifei Wang
Yisen Wang
Jiansheng Yang
Zhouchen Lin
AAML
46
14
0
25 Mar 2022
JEM++: Improved Techniques for Training JEM
JEM++: Improved Techniques for Training JEM
Xiulong Yang
Shihao Ji
AAML
VLM
50
30
0
19 Sep 2021
Emerging Properties in Self-Supervised Vision Transformers
Emerging Properties in Self-Supervised Vision Transformers
Mathilde Caron
Hugo Touvron
Ishan Misra
Hervé Jégou
Julien Mairal
Piotr Bojanowski
Armand Joulin
677
6,066
0
29 Apr 2021
Understanding Hard Negatives in Noise Contrastive Estimation
Understanding Hard Negatives in Noise Contrastive Estimation
Wenzheng Zhang
K. Stratos
52
52
0
13 Apr 2021
Contrastive Learning Inverts the Data Generating Process
Contrastive Learning Inverts the Data Generating Process
Roland S. Zimmermann
Yash Sharma
Steffen Schneider
Matthias Bethge
Wieland Brendel
SSL
276
220
0
17 Feb 2021
How to Train Your Energy-Based Models
How to Train Your Energy-Based Models
Yang Song
Diederik P. Kingma
DiffM
67
256
0
09 Jan 2021
Joint Generative and Contrastive Learning for Unsupervised Person
  Re-identification
Joint Generative and Contrastive Learning for Unsupervised Person Re-identification
Hao Chen
Yaohui Wang
Benoit Lagadec
A. Dantcheva
Francois Bremond
GAN
SSL
56
141
0
16 Dec 2020
Exploring Simple Siamese Representation Learning
Exploring Simple Siamese Representation Learning
Xinlei Chen
Kaiming He
SSL
253
4,052
0
20 Nov 2020
No MCMC for me: Amortized sampling for fast and stable training of
  energy-based models
No MCMC for me: Amortized sampling for fast and stable training of energy-based models
Will Grathwohl
Jacob Kelly
Milad Hashemi
Mohammad Norouzi
Kevin Swersky
David Duvenaud
62
72
0
08 Oct 2020
Unsupervised Feature Learning by Cross-Level Instance-Group
  Discrimination
Unsupervised Feature Learning by Cross-Level Instance-Group Discrimination
Xudong Wang
Ziwei Liu
Stella X. Yu
SSL
68
76
0
09 Aug 2020
Telescoping Density-Ratio Estimation
Telescoping Density-Ratio Estimation
Benjamin Rhodes
Kai Xu
Michael U. Gutmann
141
96
0
22 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
363
6,797
0
13 Jun 2020
Understanding Contrastive Representation Learning through Alignment and
  Uniformity on the Hypersphere
Understanding Contrastive Representation Learning through Alignment and Uniformity on the Hypersphere
Tongzhou Wang
Phillip Isola
SSL
154
1,839
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
90
1,329
0
20 May 2020
How to Train Your Energy-Based Model for Regression
How to Train Your Energy-Based Model for Regression
Fredrik K. Gustafsson
Martin Danelljan
Radu Timofte
Thomas B. Schon
123
42
0
04 May 2020
Improved Baselines with Momentum Contrastive Learning
Improved Baselines with Momentum Contrastive Learning
Xinlei Chen
Haoqi Fan
Ross B. Girshick
Kaiming He
SSL
475
3,427
0
09 Mar 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
361
18,752
0
13 Feb 2020
Your Classifier is Secretly an Energy Based Model and You Should Treat
  it Like One
Your Classifier is Secretly an Energy Based Model and You Should Treat it Like One
Will Grathwohl
Kuan-Chieh Wang
J. Jacobsen
David Duvenaud
Mohammad Norouzi
Kevin Swersky
VLM
78
543
0
06 Dec 2019
Flow Contrastive Estimation of Energy-Based Models
Flow Contrastive Estimation of Energy-Based Models
Ruiqi Gao
Erik Nijkamp
Diederik P. Kingma
Zhen Xu
Andrew M. Dai
Ying Nian Wu
GAN
62
114
0
02 Dec 2019
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
199
12,074
0
13 Nov 2019
Contrastive Multiview Coding
Contrastive Multiview Coding
Yonglong Tian
Dilip Krishnan
Phillip Isola
SSL
161
2,399
0
13 Jun 2019
Representation Learning with Contrastive Predictive Coding
Representation Learning with Contrastive Predictive Coding
Aaron van den Oord
Yazhe Li
Oriol Vinyals
DRL
SSL
318
10,284
0
10 Jul 2018
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning
  Algorithms
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms
Han Xiao
Kashif Rasul
Roland Vollgraf
280
8,878
0
25 Aug 2017
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
2.2K
193,878
0
10 Dec 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
1.8K
150,039
0
22 Dec 2014
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