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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
ArXivPDFHTML

Papers citing "Representation Learning with Contrastive Predictive Coding"

50 / 2,286 papers shown
Title
Bootstrap Latent-Predictive Representations for Multitask Reinforcement
  Learning
Bootstrap Latent-Predictive Representations for Multitask Reinforcement Learning
Z. Guo
Bernardo Avila-Pires
Bilal Piot
Jean-Bastien Grill
Florent Altché
Rémi Munos
M. G. Azar
BDL
DRL
SSL
43
139
0
30 Apr 2020
First return, then explore
First return, then explore
Adrien Ecoffet
Joost Huizinga
Joel Lehman
Kenneth O. Stanley
Jeff Clune
47
350
0
27 Apr 2020
Vector Quantized Contrastive Predictive Coding for Template-based Music
  Generation
Vector Quantized Contrastive Predictive Coding for Template-based Music Generation
Gaëtan Hadjeres
Léopold Crestel
34
18
0
21 Apr 2020
Distilling Localization for Self-Supervised Representation Learning
Distilling Localization for Self-Supervised Representation Learning
Nanxuan Zhao
Zhirong Wu
Rynson W. H. Lau
Stephen Lin
SSL
27
56
0
14 Apr 2020
CURL: Contrastive Unsupervised Representations for Reinforcement
  Learning
CURL: Contrastive Unsupervised Representations for Reinforcement Learning
A. Srinivas
Michael Laskin
Pieter Abbeel
SSL
DRL
OffRL
49
1,061
0
08 Apr 2020
How Useful is Self-Supervised Pretraining for Visual Tasks?
How Useful is Self-Supervised Pretraining for Visual Tasks?
Alejandro Newell
Jia Deng
SSL
25
136
0
31 Mar 2020
Global-Local Bidirectional Reasoning for Unsupervised Representation
  Learning of 3D Point Clouds
Global-Local Bidirectional Reasoning for Unsupervised Representation Learning of 3D Point Clouds
Yongming Rao
Jiwen Lu
Jie Zhou
3DPC
33
131
0
29 Mar 2020
Unpacking Information Bottlenecks: Unifying Information-Theoretic
  Objectives in Deep Learning
Unpacking Information Bottlenecks: Unifying Information-Theoretic Objectives in Deep Learning
Andreas Kirsch
Clare Lyle
Y. Gal
27
16
0
27 Mar 2020
A Survey of Deep Learning for Scientific Discovery
A Survey of Deep Learning for Scientific Discovery
M. Raghu
Erica Schmidt
OOD
AI4CE
40
120
0
26 Mar 2020
A Metric Learning Reality Check
A Metric Learning Reality Check
Kevin Musgrave
Serge J. Belongie
Ser-Nam Lim
59
475
0
18 Mar 2020
A comprehensive study on the prediction reliability of graph neural
  networks for virtual screening
A comprehensive study on the prediction reliability of graph neural networks for virtual screening
Soojung Yang
K. Lee
Seongok Ryu
19
7
0
17 Mar 2020
Visual Task Progress Estimation with Appearance Invariant Embeddings for
  Robot Control and Planning
Visual Task Progress Estimation with Appearance Invariant Embeddings for Robot Control and Planning
Guilherme J. Maeda
Joni Väätäinen
Hironori Yoshida
22
2
0
16 Mar 2020
DHOG: Deep Hierarchical Object Grouping
DHOG: Deep Hierarchical Object Grouping
L. N. Darlow
Amos Storkey
13
7
0
13 Mar 2020
Un-Mix: Rethinking Image Mixtures for Unsupervised Visual Representation
  Learning
Un-Mix: Rethinking Image Mixtures for Unsupervised Visual Representation Learning
Zhiqiang Shen
Zechun Liu
Zhuang Liu
Marios Savvides
Trevor Darrell
Eric P. Xing
OCL
SSL
30
103
0
11 Mar 2020
Learning Predictive Representations for Deformable Objects Using
  Contrastive Estimation
Learning Predictive Representations for Deformable Objects Using Contrastive Estimation
Wilson Yan
Ashwin Vangipuram
Pieter Abbeel
Lerrel Pinto
37
188
0
11 Mar 2020
Improved Baselines with Momentum Contrastive Learning
Improved Baselines with Momentum Contrastive Learning
Xinlei Chen
Haoqi Fan
Ross B. Girshick
Kaiming He
SSL
279
3,375
0
09 Mar 2020
Predictive Coding for Locally-Linear Control
Predictive Coding for Locally-Linear Control
Rui Shu
Tung D. Nguyen
Yinlam Chow
Tu Pham
Khoat Than
Mohammad Ghavamzadeh
Stefano Ermon
Hung Bui
OffRL
BDL
42
24
0
02 Mar 2020
Out-of-Distribution Generalization via Risk Extrapolation (REx)
Out-of-Distribution Generalization via Risk Extrapolation (REx)
David M. Krueger
Ethan Caballero
J. Jacobsen
Amy Zhang
Jonathan Binas
Dinghuai Zhang
Rémi Le Priol
Aaron Courville
OOD
215
901
0
02 Mar 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
28
117
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
44
155
0
25 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
15
73
0
20 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
21
2
0
17 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
78
18,337
0
13 Feb 2020
The Conditional Entropy Bottleneck
The Conditional Entropy Bottleneck
Ian S. Fischer
OOD
27
115
0
13 Feb 2020
Subclass Distillation
Subclass Distillation
Rafael Müller
Simon Kornblith
Geoffrey E. Hinton
28
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
45
117
0
10 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
20
80
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
47
567
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
28
41
0
03 Feb 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
27
74
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
189
288
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
30
48
0
22 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
27
446
0
13 Jan 2020
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
31
4
0
21 Dec 2019
Self-Supervised Learning For Few-Shot Image Classification
Self-Supervised Learning For Few-Shot Image Classification
Da Chen
YueFeng Chen
Yuhong Li
Feng Mao
Yuan He
Hui Xue
SSL
16
108
0
14 Nov 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
50
11,849
0
13 Nov 2019
Effectiveness of self-supervised pre-training for speech recognition
Effectiveness of self-supervised pre-training for speech recognition
Alexei Baevski
Michael Auli
Abdel-rahman Mohamed
SSL
27
147
0
10 Nov 2019
Conditional Mutual Information Neural Estimator
Conditional Mutual Information Neural Estimator
Sina Molavipour
Germán Bassi
Mikael Skoglund
24
14
0
06 Nov 2019
Generalization of Reinforcement Learners with Working and Episodic
  Memory
Generalization of Reinforcement Learners with Working and Episodic Memory
Meire Fortunato
Melissa Tan
Ryan Faulkner
Steven Hansen
Adria Puigdomenech Badia
Gavin Buttimore
Charlie Deck
Joel Z Leibo
Charles Blundell
24
70
0
29 Oct 2019
Weakly Supervised Prostate TMA Classification via Graph Convolutional
  Networks
Weakly Supervised Prostate TMA Classification via Graph Convolutional Networks
Jingwen Wang
Richard J. Chen
Ming Y. Lu
Alexander S. Baras
Faisal Mahmood
MedIm
30
57
0
29 Oct 2019
Learning to Predict Without Looking Ahead: World Models Without Forward
  Prediction
Learning to Predict Without Looking Ahead: World Models Without Forward Prediction
C. Freeman
Luke Metz
David R Ha
33
35
0
29 Oct 2019
Towards Unsupervised Speech Recognition and Synthesis with Quantized
  Speech Representation Learning
Towards Unsupervised Speech Recognition and Synthesis with Quantized Speech Representation Learning
Alexander H. Liu
Tao Tu
Hung-yi Lee
Lin-Shan Lee
SSL
35
50
0
28 Oct 2019
Mockingjay: Unsupervised Speech Representation Learning with Deep
  Bidirectional Transformer Encoders
Mockingjay: Unsupervised Speech Representation Learning with Deep Bidirectional Transformer Encoders
Andy T. Liu
Shu-Wen Yang
Po-Han Chi
Po-Chun Hsu
Hung-yi Lee
SSL
31
372
0
25 Oct 2019
Unsupervised Representation Learning with Future Observation Prediction
  for Speech Emotion Recognition
Unsupervised Representation Learning with Future Observation Prediction for Speech Emotion Recognition
Zheng Lian
J. Tao
Bin Liu
Jian Huang
SSL
14
17
0
24 Oct 2019
Contrastive Representation Distillation
Contrastive Representation Distillation
Yonglong Tian
Dilip Krishnan
Phillip Isola
47
1,031
0
23 Oct 2019
Generative Pre-Training for Speech with Autoregressive Predictive Coding
Generative Pre-Training for Speech with Autoregressive Predictive Coding
Yu-An Chung
James R. Glass
SSL
29
173
0
23 Oct 2019
Improving Transformer-based Speech Recognition Using Unsupervised
  Pre-training
Improving Transformer-based Speech Recognition Using Unsupervised Pre-training
Dongwei Jiang
Xiaoning Lei
Wubo Li
Ne Luo
Yuxuan Hu
Wei Zou
Xiangang Li
24
99
0
22 Oct 2019
A Mutual Information Maximization Perspective of Language Representation
  Learning
A Mutual Information Maximization Perspective of Language Representation Learning
Lingpeng Kong
Cyprien de Masson dÁutume
Wang Ling
Lei Yu
Zihang Dai
Dani Yogatama
SSL
226
165
0
18 Oct 2019
vq-wav2vec: Self-Supervised Learning of Discrete Speech Representations
vq-wav2vec: Self-Supervised Learning of Discrete Speech Representations
Alexei Baevski
Steffen Schneider
Michael Auli
SSL
13
660
0
12 Oct 2019
When Does Self-supervision Improve Few-shot Learning?
When Does Self-supervision Improve Few-shot Learning?
Jong-Chyi Su
Subhransu Maji
B. Hariharan
28
168
0
08 Oct 2019
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