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Representation Learning with Contrastive Predictive Coding
v1v2 (latest)

Representation Learning with Contrastive Predictive Coding

10 July 2018
Aaron van den Oord
Yazhe Li
Oriol Vinyals
    DRLSSL
ArXiv (abs)PDFHTML

Papers citing "Representation Learning with Contrastive Predictive Coding"

50 / 3,656 papers shown
Title
Hallucinative Topological Memory for Zero-Shot Visual Planning
Hallucinative Topological Memory for Zero-Shot Visual Planning
Kara Liu
Thanard Kurutach
Christine Tung
Pieter Abbeel
Aviv Tamar
89
48
0
27 Feb 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
120
118
0
27 Feb 2020
Plannable Approximations to MDP Homomorphisms: Equivariance under
  Actions
Plannable Approximations to MDP Homomorphisms: Equivariance under Actions
Elise van der Pol
Thomas Kipf
F. Oliehoek
Max Welling
81
80
0
27 Feb 2020
Towards Learning a Universal Non-Semantic Representation of Speech
Towards Learning a Universal Non-Semantic Representation of Speech
Joel Shor
A. Jansen
Ronnie Maor
Oran Lang
Omry Tuval
Félix de Chaumont Quitry
Marco Tagliasacchi
Ira Shavitt
Dotan Emanuel
Yinnon A. Haviv
SSL
173
160
0
25 Feb 2020
A Theory of Usable Information Under Computational Constraints
A Theory of Usable Information Under Computational Constraints
Yilun Xu
Shengjia Zhao
Jiaming Song
Russell Stewart
Stefano Ermon
119
175
0
25 Feb 2020
Discriminative Particle Filter Reinforcement Learning for Complex
  Partial Observations
Discriminative Particle Filter Reinforcement Learning for Complex Partial Observations
Xiao Ma
Peter Karkus
David Hsu
W. Lee
N. Ye
OffRL
51
43
0
23 Feb 2020
Learning Dynamic Belief Graphs to Generalize on Text-Based Games
Learning Dynamic Belief Graphs to Generalize on Text-Based Games
Ashutosh Adhikari
Xingdi Yuan
Marc-Alexandre Côté
M. Zelinka
Marc-Antoine Rondeau
Romain Laroche
Pascal Poupart
Jian Tang
Adam Trischler
William L. Hamilton
AI4CE
100
81
0
21 Feb 2020
Neural Bayes: A Generic Parameterization Method for Unsupervised
  Representation Learning
Neural Bayes: A Generic Parameterization Method for Unsupervised Representation Learning
Devansh Arpit
Huan Wang
Caiming Xiong
R. Socher
Yoshua Bengio
SSL
44
2
0
20 Feb 2020
Automatic Shortcut Removal for Self-Supervised Representation Learning
Automatic Shortcut Removal for Self-Supervised Representation Learning
Matthias Minderer
Olivier Bachem
N. Houlsby
Michael Tschannen
SSL
94
73
0
20 Feb 2020
A survey on Semi-, Self- and Unsupervised Learning for Image
  Classification
A survey on Semi-, Self- and Unsupervised Learning for Image Classification
Lars Schmarje
M. Santarossa
Simon-Martin Schroder
Reinhard Koch
SSLVLM
104
165
0
20 Feb 2020
CoLES: Contrastive Learning for Event Sequences with Self-Supervision
CoLES: Contrastive Learning for Event Sequences with Self-Supervision
Dmitrii Babaev
Ivan Kireev
Nikita Ovsov
Maria Ivanova
Gleb Gusev
Ivan Nazarov
Alexander Tuzhilin
SSLAI4TS
63
27
0
19 Feb 2020
Conditional Mutual information-based Contrastive Loss for Financial Time
  Series Forecasting
Conditional Mutual information-based Contrastive Loss for Financial Time Series Forecasting
Hanwei Wu
Ather Gattami
M. Flierl
AI4TS
72
14
0
18 Feb 2020
Learning Robust Representations via Multi-View Information Bottleneck
Learning Robust Representations via Multi-View Information Bottleneck
Marco Federici
Anjan Dutta
Patrick Forré
Nate Kushman
Zeynep Akata
SLR
98
260
0
17 Feb 2020
Convergence of End-to-End Training in Deep Unsupervised Contrastive
  Learning
Convergence of End-to-End Training in Deep Unsupervised Contrastive Learning
Zixin Wen
SSL
79
3
0
17 Feb 2020
UniVL: A Unified Video and Language Pre-Training Model for Multimodal
  Understanding and Generation
UniVL: A Unified Video and Language Pre-Training Model for Multimodal Understanding and Generation
Huaishao Luo
Lei Ji
Botian Shi
Haoyang Huang
Nan Duan
Tianrui Li
Jason Li
Xilin Chen
Ming Zhou
VLM
149
438
0
15 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
479
19,004
0
13 Feb 2020
The Conditional Entropy Bottleneck
The Conditional Entropy Bottleneck
Ian S. Fischer
OOD
127
122
0
13 Feb 2020
Subclass Distillation
Subclass Distillation
Rafael Müller
Simon Kornblith
Geoffrey E. Hinton
80
33
0
10 Feb 2020
On Contrastive Learning for Likelihood-free Inference
On Contrastive Learning for Likelihood-free Inference
Conor Durkan
Iain Murray
George Papamakarios
BDL
254
124
0
10 Feb 2020
On the Estimation of Information Measures of Continuous Distributions
On the Estimation of Information Measures of Continuous Distributions
Georg Pichler
Pablo Piantanida
Günther Koliander
73
13
0
07 Feb 2020
Unsupervised pretraining transfers well across languages
Unsupervised pretraining transfers well across languages
M. Rivière
Armand Joulin
Pierre-Emmanuel Mazaré
Emmanuel Dupoux
SSLVLM
78
209
0
07 Feb 2020
Social diversity and social preferences in mixed-motive reinforcement
  learning
Social diversity and social preferences in mixed-motive reinforcement learning
Kevin R. McKee
I. Gemp
Brian McWilliams
Edgar A. Duénez-Guzmán
Edward Hughes
Joel Z Leibo
97
85
0
06 Feb 2020
Graph Representation Learning via Graphical Mutual Information
  Maximization
Graph Representation Learning via Graphical Mutual Information Maximization
Zhen Peng
Wenbing Huang
Minnan Luo
Q. Zheng
Yu Rong
Tingyang Xu
Junzhou Huang
SSL
170
588
0
04 Feb 2020
Deep Self-Supervised Representation Learning for Free-Hand Sketch
Deep Self-Supervised Representation Learning for Free-Hand Sketch
Peng Xu
Zeyu Song
Qiyue Yin
Yi-Zhe Song
Liang Wang
SSL
96
41
0
03 Feb 2020
Learning Robust and Multilingual Speech Representations
Learning Robust and Multilingual Speech Representations
Kazuya Kawakami
Luyu Wang
Chris Dyer
Phil Blunsom
Aaron van den Oord
SSL
99
100
0
29 Jan 2020
Unsupervised Pre-training of Bidirectional Speech Encoders via Masked
  Reconstruction
Unsupervised Pre-training of Bidirectional Speech Encoders via Masked Reconstruction
Weiran Wang
Qingming Tang
Karen Livescu
SSL
91
98
0
28 Jan 2020
TaxoExpan: Self-supervised Taxonomy Expansion with Position-Enhanced
  Graph Neural Network
TaxoExpan: Self-supervised Taxonomy Expansion with Position-Enhanced Graph Neural Network
Jiaming Shen
Zhihong Shen
Chenyan Xiong
Chi Wang
Kuansan Wang
Jiawei Han
83
78
0
26 Jan 2020
Multi-task self-supervised learning for Robust Speech Recognition
Multi-task self-supervised learning for Robust Speech Recognition
Mirco Ravanelli
Jianyuan Zhong
Santiago Pascual
P. Swietojanski
João Monteiro
J. Trmal
Yoshua Bengio
SSL
292
290
0
25 Jan 2020
Optimized Generic Feature Learning for Few-shot Classification across
  Domains
Optimized Generic Feature Learning for Few-shot Classification across Domains
Tonmoy Saikia
Thomas Brox
Cordelia Schmid
VLM
77
49
0
22 Jan 2020
Visually Guided Self Supervised Learning of Speech Representations
Visually Guided Self Supervised Learning of Speech Representations
Abhinav Shukla
Konstantinos Vougioukas
Pingchuan Ma
Stavros Petridis
Maja Pantic
SSL
80
25
0
13 Jan 2020
ProphetNet: Predicting Future N-gram for Sequence-to-Sequence
  Pre-training
ProphetNet: Predicting Future N-gram for Sequence-to-Sequence Pre-training
Weizhen Qi
Yu Yan
Yeyun Gong
Dayiheng Liu
Nan Duan
Jiusheng Chen
Ruofei Zhang
Ming Zhou
AI4TS
162
450
0
13 Jan 2020
Learning to Navigate Using Mid-Level Visual Priors
Learning to Navigate Using Mid-Level Visual Priors
Alexander Sax
Jeffrey O. Zhang
Bradley Emi
Amir Zamir
Silvio Savarese
Leonidas Guibas
Jitendra Malik
SSL
96
59
0
23 Dec 2019
Unsupervised Representation Learning by Predicting Random Distances
Unsupervised Representation Learning by Predicting Random Distances
Hu Wang
Guansong Pang
Chunhua Shen
Congbo Ma
OODSSL
57
74
0
22 Dec 2019
Predictive Coding for Boosting Deep Reinforcement Learning with Sparse
  Rewards
Predictive Coding for Boosting Deep Reinforcement Learning with Sparse Rewards
Xingyu Lu
Stas Tiomkin
Pieter Abbeel
OffRL
74
5
0
21 Dec 2019
Pathomic Fusion: An Integrated Framework for Fusing Histopathology and
  Genomic Features for Cancer Diagnosis and Prognosis
Pathomic Fusion: An Integrated Framework for Fusing Histopathology and Genomic Features for Cancer Diagnosis and Prognosis
Richard J. Chen
Ming Y. Lu
Jingwen Wang
Drew F. K. Williamson
S. Rodig
N. Lindeman
Faisal Mahmood
114
416
0
18 Dec 2019
Libri-Light: A Benchmark for ASR with Limited or No Supervision
Libri-Light: A Benchmark for ASR with Limited or No Supervision
Jacob Kahn
M. Rivière
Weiyi Zheng
Evgeny Kharitonov
Qiantong Xu
...
Tatiana Likhomanenko
Gabriel Synnaeve
Armand Joulin
Abdel-rahman Mohamed
Emmanuel Dupoux
AuLLM
180
674
0
17 Dec 2019
End-to-End Learning of Visual Representations from Uncurated
  Instructional Videos
End-to-End Learning of Visual Representations from Uncurated Instructional Videos
Antoine Miech
Jean-Baptiste Alayrac
Lucas Smaira
Ivan Laptev
Josef Sivic
Andrew Zisserman
VGenSSL
162
713
0
13 Dec 2019
Multimodal Self-Supervised Learning for Medical Image Analysis
Multimodal Self-Supervised Learning for Medical Image Analysis
Aiham Taleb
C. Lippert
T. Klein
Moin Nabi
SSL
99
98
0
11 Dec 2019
Unsupervised Curricula for Visual Meta-Reinforcement Learning
Unsupervised Curricula for Visual Meta-Reinforcement Learning
Allan Jabri
Kyle Hsu
Benjamin Eysenbach
Abhishek Gupta
Sergey Levine
Chelsea Finn
VLMOODSSLOffRL
84
65
0
09 Dec 2019
Learning Disentangled Representations via Mutual Information Estimation
Learning Disentangled Representations via Mutual Information Estimation
E. Sanchez
M. Serrurier
M. Ortner
SSLDRL
98
96
0
09 Dec 2019
No Representation without Transformation
No Representation without Transformation
Giorgio Giannone
Saeed Saremi
Jonathan Masci
Christian Osendorfer
BDLDRL
47
2
0
09 Dec 2019
ClusterFit: Improving Generalization of Visual Representations
ClusterFit: Improving Generalization of Visual Representations
Xueting Yan
Ishan Misra
Abhinav Gupta
Deepti Ghadiyaram
D. Mahajan
SSLVLM
146
133
0
06 Dec 2019
Self-Supervised Learning of Video-Induced Visual Invariances
Self-Supervised Learning of Video-Induced Visual Invariances
Michael Tschannen
Josip Djolonga
Marvin Ritter
Aravindh Mahendran
Xiaohua Zhai
N. Houlsby
Sylvain Gelly
Mario Lucic
SSL
142
63
0
05 Dec 2019
Hindsight Credit Assignment
Hindsight Credit Assignment
Anna Harutyunyan
Will Dabney
Thomas Mesnard
M. G. Azar
Bilal Piot
...
H. V. Hasselt
Greg Wayne
Satinder Singh
Doina Precup
Rémi Munos
100
75
0
05 Dec 2019
Learnt dynamics generalizes across tasks, datasets, and populations
Learnt dynamics generalizes across tasks, datasets, and populations
Usman Mahmood
M. M. Rahman
A. Fedorov
Z. Fu
Vince D. Calhoun
Sergey Plis
38
4
0
04 Dec 2019
Self-Supervised Learning of Pretext-Invariant Representations
Self-Supervised Learning of Pretext-Invariant Representations
Ishan Misra
Laurens van der Maaten
SSLVLM
137
1,461
0
04 Dec 2019
Dream to Control: Learning Behaviors by Latent Imagination
Dream to Control: Learning Behaviors by Latent Imagination
Danijar Hafner
Timothy Lillicrap
Jimmy Ba
Mohammad Norouzi
VLM
253
1,378
0
03 Dec 2019
QUEST: Quantized embedding space for transferring knowledge
QUEST: Quantized embedding space for transferring knowledge
Himalaya Jain
Spyros Gidaris
N. Komodakis
P. Pérez
Matthieu Cord
52
14
0
03 Dec 2019
Probing the State of the Art: A Critical Look at Visual Representation
  Evaluation
Probing the State of the Art: A Critical Look at Visual Representation Evaluation
Cinjon Resnick
Zeping Zhan
Joan Bruna
AI4TS
54
12
0
30 Nov 2019
Contrastive Learning of Structured World Models
Contrastive Learning of Structured World Models
Thomas Kipf
Elise van der Pol
Max Welling
OCLDRL
142
285
0
27 Nov 2019
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