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RenyiCL: Contrastive Representation Learning with Skew Renyi Divergence
v1v2 (latest)

RenyiCL: Contrastive Representation Learning with Skew Renyi Divergence

12 August 2022
Kyungmin Lee
Jinwoo Shin
    SSLDRL
ArXiv (abs)PDFHTML

Papers citing "RenyiCL: Contrastive Representation Learning with Skew Renyi Divergence"

50 / 62 papers shown
Title
Robust Contrastive Learning against Noisy Views
Robust Contrastive Learning against Noisy Views
Ching-Yao Chuang
R. Devon Hjelm
Xin Eric Wang
Vibhav Vineet
Neel Joshi
Antonio Torralba
Stefanie Jegelka
Ya-heng Song
NoLa
55
72
0
12 Jan 2022
Pseudo-Spherical Contrastive Divergence
Pseudo-Spherical Contrastive Divergence
Lantao Yu
Jiaming Song
Yang Song
Stefano Ermon
43
7
0
01 Nov 2021
Compressive Visual Representations
Compressive Visual Representations
Kuang-Huei Lee
Anurag Arnab
S. Guadarrama
John F. Canny
Ian S. Fischer
SSL
112
48
0
27 Sep 2021
Simpler, Faster, Stronger: Breaking The log-K Curse On Contrastive
  Learners With FlatNCE
Simpler, Faster, Stronger: Breaking The log-K Curse On Contrastive Learners With FlatNCE
Junya Chen
Zhe Gan
Xuan Li
Qing Guo
Liqun Chen
...
Belinda Zeng
Wenlian Lu
Fan Li
Lawrence Carin
Chenyang Tao
73
28
0
02 Jul 2021
Tight Mutual Information Estimation With Contrastive Fenchel-Legendre
  Optimization
Tight Mutual Information Estimation With Contrastive Fenchel-Legendre Optimization
Qing Guo
Junya Chen
Dong Wang
Yuewei Yang
Xinwei Deng
Lawrence Carin
Fan Li
Jing-Zheng Huang
Chenyang Tao
57
21
0
02 Jul 2021
SCARF: Self-Supervised Contrastive Learning using Random Feature
  Corruption
SCARF: Self-Supervised Contrastive Learning using Random Feature Corruption
Dara Bahri
Heinrich Jiang
Yi Tay
Donald Metzler
SSL
70
175
0
29 Jun 2021
Divergence Frontiers for Generative Models: Sample Complexity,
  Quantization Effects, and Frontier Integrals
Divergence Frontiers for Generative Models: Sample Complexity, Quantization Effects, and Frontier Integrals
Lang Liu
Krishna Pillutla
Sean Welleck
Sewoong Oh
Yejin Choi
Zaïd Harchaoui
MQ
71
14
0
15 Jun 2021
Graph Contrastive Learning Automated
Graph Contrastive Learning Automated
Yuning You
Tianlong Chen
Yang Shen
Zhangyang Wang
81
479
0
10 Jun 2021
Provable Guarantees for Self-Supervised Deep Learning with Spectral
  Contrastive Loss
Provable Guarantees for Self-Supervised Deep Learning with Spectral Contrastive Loss
Jeff Z. HaoChen
Colin Wei
Adrien Gaidon
Tengyu Ma
SSL
77
321
0
08 Jun 2021
With a Little Help from My Friends: Nearest-Neighbor Contrastive
  Learning of Visual Representations
With a Little Help from My Friends: Nearest-Neighbor Contrastive Learning of Visual Representations
Debidatta Dwibedi
Y. Aytar
Jonathan Tompson
P. Sermanet
Andrew Zisserman
SSL
241
467
0
29 Apr 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
708
6,127
0
29 Apr 2021
A Note on Connecting Barlow Twins with Negative-Sample-Free Contrastive
  Learning
A Note on Connecting Barlow Twins with Negative-Sample-Free Contrastive Learning
Yao-Hung Hubert Tsai
Shaojie Bai
Louis-Philippe Morency
Ruslan Salakhutdinov
SSL
57
39
0
28 Apr 2021
Contrastive Learning with Stronger Augmentations
Contrastive Learning with Stronger Augmentations
Tianlin Li
Guo-Jun Qi
CLL
97
225
0
15 Apr 2021
An Empirical Study of Training Self-Supervised Vision Transformers
An Empirical Study of Training Self-Supervised Vision Transformers
Xinlei Chen
Saining Xie
Kaiming He
ViT
159
1,869
0
05 Apr 2021
Self-supervised Representation Learning with Relative Predictive Coding
Self-supervised Representation Learning with Relative Predictive Coding
Yao-Hung Hubert Tsai
Martin Q. Ma
Muqiao Yang
Han Zhao
Louis-Philippe Morency
Ruslan Salakhutdinov
SSLAI4TS
62
38
0
21 Mar 2021
Barlow Twins: Self-Supervised Learning via Redundancy Reduction
Barlow Twins: Self-Supervised Learning via Redundancy Reduction
Jure Zbontar
Li Jing
Ishan Misra
Yann LeCun
Stéphane Deny
SSL
347
2,362
0
04 Mar 2021
How to Train Your Energy-Based Models
How to Train Your Energy-Based Models
Yang Song
Diederik P. Kingma
DiffM
78
265
0
09 Jan 2021
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
75
170
0
23 Nov 2020
Contrastive Learning of General-Purpose Audio Representations
Contrastive Learning of General-Purpose Audio Representations
Aaqib Saeed
David Grangier
Neil Zeghidour
VLMSSL
76
272
0
21 Oct 2020
Contrastive Learning with Hard Negative Samples
Contrastive Learning with Hard Negative Samples
Joshua Robinson
Ching-Yao Chuang
S. Sra
Stefanie Jegelka
SSL
150
787
0
09 Oct 2020
Hard Negative Mixing for Contrastive Learning
Hard Negative Mixing for Contrastive Learning
Yannis Kalantidis
Mert Bulent Sariyildiz
Noé Pion
Philippe Weinzaepfel
Diane Larlus
SSL
134
645
0
02 Oct 2020
SelfAugment: Automatic Augmentation Policies for Self-Supervised
  Learning
SelfAugment: Automatic Augmentation Policies for Self-Supervised Learning
Colorado Reed
Sean L. Metzger
A. Srinivas
Trevor Darrell
Kurt Keutzer
SSL
79
49
0
16 Sep 2020
Spatiotemporal Contrastive Video Representation Learning
Spatiotemporal Contrastive Video Representation Learning
Rui Qian
Tianjian Meng
Boqing Gong
Ming-Hsuan Yang
Haoran Wang
Serge J. Belongie
Huayu Chen
SSLAI4TS
114
501
0
09 Aug 2020
Multi-label Contrastive Predictive Coding
Multi-label Contrastive Predictive Coding
Jiaming Song
Stefano Ermon
SSLVLM
56
50
0
20 Jul 2020
TUDataset: A collection of benchmark datasets for learning with graphs
TUDataset: A collection of benchmark datasets for learning with graphs
Christopher Morris
Nils M. Kriege
Franka Bause
Kristian Kersting
Petra Mutzel
Marion Neumann
239
827
0
16 Jul 2020
Variational Representations and Neural Network Estimation of Rényi
  Divergences
Variational Representations and Neural Network Estimation of Rényi Divergences
Jeremiah Birrell
P. Dupuis
Markos A. Katsoulakis
Luc Rey-Bellet
Jie Wang
49
32
0
07 Jul 2020
wav2vec 2.0: A Framework for Self-Supervised Learning of Speech
  Representations
wav2vec 2.0: A Framework for Self-Supervised Learning of Speech Representations
Alexei Baevski
Henry Zhou
Abdel-rahman Mohamed
Michael Auli
SSL
297
5,837
0
20 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
OCLSSL
261
4,098
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
395
6,837
0
13 Jun 2020
DeCLUTR: Deep Contrastive Learning for Unsupervised Textual
  Representations
DeCLUTR: Deep Contrastive Learning for Unsupervised Textual Representations
John Giorgi
Osvald Nitski
Bo Wang
Gary D. Bader
SSL
93
498
0
05 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
162
1,855
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
114
1,335
0
20 May 2020
Audio-Visual Instance Discrimination with Cross-Modal Agreement
Audio-Visual Instance Discrimination with Cross-Modal Agreement
Pedro Morgado
Nuno Vasconcelos
Ishan Misra
SSL
82
276
0
27 Apr 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
165
4,572
0
23 Apr 2020
Improved Baselines with Momentum Contrastive Learning
Improved Baselines with Momentum Contrastive Learning
Xinlei Chen
Haoqi Fan
Ross B. Girshick
Kaiming He
SSL
492
3,443
0
09 Mar 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
213
12,124
0
13 Nov 2019
Understanding the Limitations of Variational Mutual Information
  Estimators
Understanding the Limitations of Variational Mutual Information Estimators
Jiaming Song
Stefano Ermon
SSLDRL
74
204
0
14 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
253
3,502
0
30 Sep 2019
InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation
  Learning via Mutual Information Maximization
InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization
Fan-Yun Sun
Jordan Hoffmann
Vikas Verma
Jian Tang
SSL
158
864
0
31 Jul 2019
Contrastive Multiview Coding
Contrastive Multiview Coding
Yonglong Tian
Dilip Krishnan
Phillip Isola
SSL
174
2,409
0
13 Jun 2019
Practical and Consistent Estimation of f-Divergences
Practical and Consistent Estimation of f-Divergences
Paul Kishan Rubenstein
Olivier Bousquet
Josip Djolonga
C. Riquelme
Ilya O. Tolstikhin
44
45
0
27 May 2019
On Variational Bounds of Mutual Information
On Variational Bounds of Mutual Information
Ben Poole
Sherjil Ozair
Aaron van den Oord
Alexander A. Alemi
George Tucker
SSL
111
814
0
16 May 2019
Wasserstein Dependency Measure for Representation Learning
Wasserstein Dependency Measure for Representation Learning
Sherjil Ozair
Corey Lynch
Yoshua Bengio
Aaron van den Oord
Sergey Levine
P. Sermanet
SSLDRL
144
118
0
28 Mar 2019
Formal Limitations on the Measurement of Mutual Information
Formal Limitations on the Measurement of Mutual Information
David A. McAllester
K. Stratos
SSL
68
277
0
10 Nov 2018
How Powerful are Graph Neural Networks?
How Powerful are Graph Neural Networks?
Keyulu Xu
Weihua Hu
J. Leskovec
Stefanie Jegelka
GNN
257
7,695
0
01 Oct 2018
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
337
2,672
0
20 Aug 2018
Representation Learning with Contrastive Predictive Coding
Representation Learning with Contrastive Predictive Coding
Aaron van den Oord
Yazhe Li
Oriol Vinyals
DRLSSL
351
10,356
0
10 Jul 2018
AutoAugment: Learning Augmentation Policies from Data
AutoAugment: Learning Augmentation Policies from Data
E. D. Cubuk
Barret Zoph
Dandelion Mané
Vijay Vasudevan
Quoc V. Le
135
1,775
0
24 May 2018
TADAM: Task dependent adaptive metric for improved few-shot learning
TADAM: Task dependent adaptive metric for improved few-shot learning
Boris N. Oreshkin
Pau Rodríguez López
Alexandre Lacoste
96
1,313
0
23 May 2018
Unsupervised Feature Learning via Non-Parametric Instance-level
  Discrimination
Unsupervised Feature Learning via Non-Parametric Instance-level Discrimination
Zhirong Wu
Yuanjun Xiong
Stella X. Yu
Dahua Lin
SSL
182
3,466
0
05 May 2018
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