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Representation Learning with Contrastive Predictive Coding

Representation Learning with Contrastive Predictive Coding

10 July 2018
Aaron van den Oord
Yazhe Li
Oriol Vinyals
    DRL
    SSL
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Papers citing "Representation Learning with Contrastive Predictive Coding"

44 / 2,744 papers shown
Title
Using Self-Supervised Learning Can Improve Model Robustness and
  Uncertainty
Using Self-Supervised Learning Can Improve Model Robustness and Uncertainty
Dan Hendrycks
Mantas Mazeika
Saurav Kadavath
D. Song
OOD
SSL
10
938
0
28 Jun 2019
Learning Belief Representations for Imitation Learning in POMDPs
Learning Belief Representations for Imitation Learning in POMDPs
Tanmay Gangwani
Joel Lehman
Qiang Liu
Jian Peng
29
37
0
22 Jun 2019
Shaping Belief States with Generative Environment Models for RL
Shaping Belief States with Generative Environment Models for RL
Karol Gregor
Danilo Jimenez Rezende
F. Besse
Yan Wu
Hamza Merzic
Aaron van den Oord
OffRL
AI4CE
46
118
0
21 Jun 2019
Unsupervised State Representation Learning in Atari
Unsupervised State Representation Learning in Atari
Ankesh Anand
Evan Racah
Sherjil Ozair
Yoshua Bengio
Marc-Alexandre Côté
R. Devon Hjelm
SSL
44
254
0
19 Jun 2019
Disentangled Inference for GANs with Latently Invertible Autoencoder
Disentangled Inference for GANs with Latently Invertible Autoencoder
Jiapeng Zhu
Deli Zhao
Bo Zhang
Bolei Zhou
GAN
DRL
30
35
0
19 Jun 2019
Contrastive Multiview Coding
Contrastive Multiview Coding
Yonglong Tian
Dilip Krishnan
Phillip Isola
SSL
105
2,377
0
13 Jun 2019
Learning Video Representations using Contrastive Bidirectional
  Transformer
Learning Video Representations using Contrastive Bidirectional Transformer
Chen Sun
Fabien Baradel
Kevin Patrick Murphy
Cordelia Schmid
SSL
ViT
52
133
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
123
1,460
0
03 Jun 2019
Putting An End to End-to-End: Gradient-Isolated Learning of
  Representations
Putting An End to End-to-End: Gradient-Isolated Learning of Representations
Sindy Löwe
Peter O'Connor
Bastiaan S. Veeling
SSL
41
144
0
28 May 2019
Self-supervised audio representation learning for mobile devices
Self-supervised audio representation learning for mobile devices
Marco Tagliasacchi
Beat Gfeller
Félix de Chaumont Quitry
Dominik Roblek
SSL
AI4TS
13
46
0
24 May 2019
Unsupervised Discovery of Temporal Structure in Noisy Data with
  Dynamical Components Analysis
Unsupervised Discovery of Temporal Structure in Noisy Data with Dynamical Components Analysis
David G. Clark
J. Livezey
K. Bouchard
AI4TS
41
24
0
23 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
72
1,420
0
22 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
28
801
0
16 May 2019
Meta reinforcement learning as task inference
Meta reinforcement learning as task inference
Jan Humplik
Alexandre Galashov
Leonard Hasenclever
Pedro A. Ortega
Yee Whye Teh
N. Heess
OffRL
56
127
0
15 May 2019
Scaling and Benchmarking Self-Supervised Visual Representation Learning
Scaling and Benchmarking Self-Supervised Visual Representation Learning
Priya Goyal
D. Mahajan
Abhinav Gupta
Ishan Misra
SSL
31
396
0
03 May 2019
Biphasic Learning of GANs for High-Resolution Image-to-Image Translation
Biphasic Learning of GANs for High-Resolution Image-to-Image Translation
Jie Cao
Huaibo Huang
Yi Li
Jingtuo Liu
Ran He
Zhenan Sun
GAN
26
4
0
14 Apr 2019
Local Aggregation for Unsupervised Learning of Visual Embeddings
Local Aggregation for Unsupervised Learning of Visual Embeddings
Chengxu Zhuang
Alex Zhai
Daniel L. K. Yamins
SSL
44
444
0
29 Mar 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
SSL
DRL
30
116
0
28 Mar 2019
Small Data Challenges in Big Data Era: A Survey of Recent Progress on
  Unsupervised and Semi-Supervised Methods
Small Data Challenges in Big Data Era: A Survey of Recent Progress on Unsupervised and Semi-Supervised Methods
Guo-Jun Qi
Jiebo Luo
SSL
14
240
0
27 Mar 2019
Learning Correspondence from the Cycle-Consistency of Time
Learning Correspondence from the Cycle-Consistency of Time
Xinyu Wang
Allan Jabri
Alexei A. Efros
SSL
36
488
0
18 Mar 2019
Hierarchical Autoregressive Image Models with Auxiliary Decoders
Hierarchical Autoregressive Image Models with Auxiliary Decoders
J. Fauw
Sander Dieleman
Karen Simonyan
GAN
35
37
0
06 Mar 2019
World Discovery Models
World Discovery Models
M. G. Azar
Bilal Piot
Bernardo Avila-Pires
Jean-Bastien Grill
Florent Altché
Rémi Munos
42
26
0
20 Feb 2019
A Geometric Perspective on Optimal Representations for Reinforcement
  Learning
A Geometric Perspective on Optimal Representations for Reinforcement Learning
Marc G. Bellemare
Will Dabney
Robert Dadashi
Adrien Ali Taïga
Pablo Samuel Castro
Nicolas Le Roux
Dale Schuurmans
Tor Lattimore
Clare Lyle
24
90
0
31 Jan 2019
Revisiting Self-Supervised Visual Representation Learning
Revisiting Self-Supervised Visual Representation Learning
Alexander Kolesnikov
Xiaohua Zhai
Lucas Beyer
SSL
82
716
0
25 Jan 2019
Maximum Entropy Generators for Energy-Based Models
Maximum Entropy Generators for Energy-Based Models
Rithesh Kumar
Sherjil Ozair
Anirudh Goyal
Aaron Courville
Yoshua Bengio
19
112
0
24 Jan 2019
Deep Clustering with a Dynamic Autoencoder: From Reconstruction towards
  Centroids Construction
Deep Clustering with a Dynamic Autoencoder: From Reconstruction towards Centroids Construction
Nairouz Mrabah
N. Khan
Riadh Ksantini
Z. Lachiri
28
64
0
23 Jan 2019
Mid-Level Visual Representations Improve Generalization and Sample
  Efficiency for Learning Visuomotor Policies
Mid-Level Visual Representations Improve Generalization and Sample Efficiency for Learning Visuomotor Policies
Alexander Sax
Bradley Emi
Amir Zamir
Leonidas Guibas
Silvio Savarese
Jitendra Malik
SSL
49
16
0
31 Dec 2018
Learning Speaker Representations with Mutual Information
Learning Speaker Representations with Mutual Information
Mirco Ravanelli
Yoshua Bengio
SSL
DRL
27
91
0
01 Dec 2018
Learning Actionable Representations with Goal-Conditioned Policies
Learning Actionable Representations with Goal-Conditioned Policies
Dibya Ghosh
Abhishek Gupta
Sergey Levine
37
109
0
19 Nov 2018
Neural Predictive Belief Representations
Neural Predictive Belief Representations
Z. Guo
M. G. Azar
Bilal Piot
Bernardo Avila-Pires
Rémi Munos
SSL
24
80
0
15 Nov 2018
Improving Generalization for Abstract Reasoning Tasks Using Disentangled
  Feature Representations
Improving Generalization for Abstract Reasoning Tasks Using Disentangled Feature Representations
Xander Steenbrugge
Sam Leroux
Tim Verbelen
Bart Dhoedt
OOD
DRL
22
68
0
12 Nov 2018
Formal Limitations on the Measurement of Mutual Information
Formal Limitations on the Measurement of Mutual Information
David A. McAllester
K. Stratos
SSL
33
274
0
10 Nov 2018
Neural Image Compression for Gigapixel Histopathology Image Analysis
Neural Image Compression for Gigapixel Histopathology Image Analysis
David Tellez
G. Litjens
Jeroen van der Laak
F. Ciompi
35
206
0
07 Nov 2018
Invertible Residual Networks
Invertible Residual Networks
Jens Behrmann
Will Grathwohl
Ricky T. Q. Chen
David Duvenaud
J. Jacobsen
UQCV
TPM
53
620
0
02 Nov 2018
One Size Does Not Fit All: Generating and Evaluating Variable Number of
  Keyphrases
One Size Does Not Fit All: Generating and Evaluating Variable Number of Keyphrases
Xingdi Yuan
Tong Wang
Rui Meng
Khushboo Thaker
Peter Brusilovsky
Daqing He
Adam Trischler
32
102
0
11 Oct 2018
Unsupervised Learning via Meta-Learning
Unsupervised Learning via Meta-Learning
Kyle Hsu
Sergey Levine
Chelsea Finn
SSL
OffRL
37
229
0
04 Oct 2018
Near-Optimal Representation Learning for Hierarchical Reinforcement
  Learning
Near-Optimal Representation Learning for Hierarchical Reinforcement Learning
Ofir Nachum
S. Gu
Honglak Lee
Sergey Levine
33
206
0
02 Oct 2018
Deep Graph Infomax
Deep Graph Infomax
Petar Velickovic
W. Fedus
William L. Hamilton
Pietro Lio
Yoshua Bengio
R. Devon Hjelm
GNN
66
2,355
0
27 Sep 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
SSL
DRL
130
2,645
0
20 Aug 2018
Playing hard exploration games by watching YouTube
Playing hard exploration games by watching YouTube
Y. Aytar
Tobias Pfaff
David Budden
T. Paine
Ziyun Wang
Nando de Freitas
35
269
0
29 May 2018
Mutual Information Maximization for Simple and Accurate Part-Of-Speech
  Induction
Mutual Information Maximization for Simple and Accurate Part-Of-Speech Induction
K. Stratos
26
26
0
20 Apr 2018
Reservoir computing approaches for representation and classification of
  multivariate time series
Reservoir computing approaches for representation and classification of multivariate time series
F. Bianchi
Simone Scardapane
Sigurd Løkse
Robert Jenssen
AI4TS
39
142
0
21 Mar 2018
GILBO: One Metric to Measure Them All
GILBO: One Metric to Measure Them All
Alexander A. Alemi
Ian S. Fischer
DRL
16
16
0
13 Feb 2018
Pixel Recurrent Neural Networks
Pixel Recurrent Neural Networks
Aaron van den Oord
Nal Kalchbrenner
Koray Kavukcuoglu
SSeg
GAN
283
2,559
0
25 Jan 2016
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