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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 / 3,250 papers shown
Title
Equivariant $Q$ Learning in Spatial Action Spaces
Equivariant QQQ Learning in Spatial Action Spaces
Dian Wang
Robin Walters
Xu Zhu
Robert Platt
102
78
0
28 Oct 2021
InfoGCL: Information-Aware Graph Contrastive Learning
InfoGCL: Information-Aware Graph Contrastive Learning
Dongkuan Xu
Wei Cheng
Dongsheng Luo
Haifeng Chen
Xiang Zhang
67
201
0
28 Oct 2021
Residual Relaxation for Multi-view Representation Learning
Residual Relaxation for Multi-view Representation Learning
Yifei Wang
Zhengyang Geng
Feng Jiang
Chuming Li
Yisen Wang
Jiansheng Yang
Zhouchen Lin
68
39
0
28 Oct 2021
Equivariant Contrastive Learning
Equivariant Contrastive Learning
Rumen Dangovski
Li Jing
Charlotte Loh
Seung-Jun Han
Akash Srivastava
Brian Cheung
Pulkit Agrawal
Marin Soljacic
98
79
0
28 Oct 2021
Self-Supervised Learning Disentangled Group Representation as Feature
Self-Supervised Learning Disentangled Group Representation as Feature
Tan Wang
Zhongqi Yue
Jianqiang Huang
Qianru Sun
Hanwang Zhang
OOD
90
69
0
28 Oct 2021
Contrast and Mix: Temporal Contrastive Video Domain Adaptation with
  Background Mixing
Contrast and Mix: Temporal Contrastive Video Domain Adaptation with Background Mixing
Aadarsh Sahoo
Rutav Shah
Yikang Shen
Kate Saenko
Abir Das
72
65
0
28 Oct 2021
Graph Communal Contrastive Learning
Graph Communal Contrastive Learning
Bolian Li
Baoyu Jing
Hanghang Tong
74
60
0
28 Oct 2021
Intermediate Layers Matter in Momentum Contrastive Self Supervised
  Learning
Intermediate Layers Matter in Momentum Contrastive Self Supervised Learning
Aakash Kaku
Sahana Upadhya
N. Razavian
SSL
86
29
0
27 Oct 2021
A Survey of Self-Supervised and Few-Shot Object Detection
A Survey of Self-Supervised and Few-Shot Object Detection
Gabriel Huang
I. Laradji
David Vazquez
Simon Lacoste-Julien
Pau Rodríguez López
ObjD
113
80
0
27 Oct 2021
DreamerPro: Reconstruction-Free Model-Based Reinforcement Learning with
  Prototypical Representations
DreamerPro: Reconstruction-Free Model-Based Reinforcement Learning with Prototypical Representations
Fei Deng
Ingook Jang
Sungjin Ahn
VLM
79
62
0
27 Oct 2021
Neural Analysis and Synthesis: Reconstructing Speech from
  Self-Supervised Representations
Neural Analysis and Synthesis: Reconstructing Speech from Self-Supervised Representations
Hyeong-Seok Choi
Juheon Lee
W. Kim
Jie Hwan Lee
Hoon Heo
Kyogu Lee
109
158
0
27 Oct 2021
Zero-shot Voice Conversion via Self-supervised Prosody Representation
  Learning
Zero-shot Voice Conversion via Self-supervised Prosody Representation Learning
Shijun Wang
Dimche Kostadinov
Damian Borth
86
11
0
27 Oct 2021
Towards artificial general intelligence via a multimodal foundation
  model
Towards artificial general intelligence via a multimodal foundation model
Nanyi Fei
Zhiwu Lu
Yizhao Gao
Guoxing Yang
Yuqi Huo
...
Ruihua Song
Xin Gao
Tao Xiang
Haoran Sun
Jiling Wen
AI4CELRM
90
230
0
27 Oct 2021
Self-supervised EEG Representation Learning for Automatic Sleep Staging
Self-supervised EEG Representation Learning for Automatic Sleep Staging
Chaoqi Yang
MSc Cao Xiao
PhD M Brandon Westover
PhD Jimeng Sun
SSL
111
24
0
27 Oct 2021
WavLM: Large-Scale Self-Supervised Pre-Training for Full Stack Speech
  Processing
WavLM: Large-Scale Self-Supervised Pre-Training for Full Stack Speech Processing
Sanyuan Chen
Chengyi Wang
Zhengyang Chen
Yu-Huan Wu
Shujie Liu
...
Yao Qian
Jian Wu
Micheal Zeng
Xiangzhan Yu
Furu Wei
SSL
296
1,913
0
26 Oct 2021
SpectroscopyNet: Learning to pre-process Spectroscopy Signals without
  clean data
SpectroscopyNet: Learning to pre-process Spectroscopy Signals without clean data
Juan Castorena
Diane Oyen
53
0
0
26 Oct 2021
Understanding the Role of Self-Supervised Learning in
  Out-of-Distribution Detection Task
Understanding the Role of Self-Supervised Learning in Out-of-Distribution Detection Task
Jiuhai Chen
Chen Zhu
Bin Dai
OODD
109
3
0
26 Oct 2021
Towards More Generalizable One-shot Visual Imitation Learning
Towards More Generalizable One-shot Visual Imitation Learning
Zhao Mandi
Fangchen Liu
Kimin Lee
Pieter Abbeel
84
61
0
26 Oct 2021
Image Quality Assessment using Contrastive Learning
Image Quality Assessment using Contrastive Learning
Pavan C. Madhusudana
Neil Birkbeck
Yilin Wang
Balu Adsumilli
A. Bovik
SSL
55
168
0
25 Oct 2021
Unsupervised Domain Adaptation with Dynamics-Aware Rewards in
  Reinforcement Learning
Unsupervised Domain Adaptation with Dynamics-Aware Rewards in Reinforcement Learning
Jinxin Liu
Hao Shen
Donglin Wang
Yachen Kang
Qiangxing Tian
85
19
0
25 Oct 2021
CLLD: Contrastive Learning with Label Distance for Text Classification
CLLD: Contrastive Learning with Label Distance for Text Classification
Jinhe Lan
Qingyuan Zhan
Chenhao Jiang
Kunping Yuan
Desheng Wang
VLM
64
2
0
25 Oct 2021
MUSE: Feature Self-Distillation with Mutual Information and
  Self-Information
MUSE: Feature Self-Distillation with Mutual Information and Self-Information
Yunpeng Gong
Ye Yu
Gaurav Mittal
Greg Mori
Mei Chen
SSL
46
2
0
25 Oct 2021
Learning Speaker Representation with Semi-supervised Learning approach
  for Speaker Profiling
Learning Speaker Representation with Semi-supervised Learning approach for Speaker Profiling
Shangeth Rajaa
Pham Van Tung
Chng Eng Siong
64
5
0
24 Oct 2021
Contrastively Disentangled Sequential Variational Autoencoder
Contrastively Disentangled Sequential Variational Autoencoder
M. Kiener
Weiran Wang
Michael Gerndt
CoGeDRL
110
42
0
22 Oct 2021
Wav2CLIP: Learning Robust Audio Representations From CLIP
Wav2CLIP: Learning Robust Audio Representations From CLIP
Ho-Hsiang Wu
Prem Seetharaman
Kundan Kumar
J. P. Bello
CLIPVLM
147
274
0
21 Oct 2021
Statistical discrimination in learning agents
Statistical discrimination in learning agents
Edgar A. Duénez-Guzmán
Kevin R. McKee
Yiran Mao
Ben Coppin
Silvia Chiappa
...
Yoram Bachrach
Suzanne Sadedin
William S. Isaac
K. Tuyls
Joel Z Leibo
77
7
0
21 Oct 2021
CLOOB: Modern Hopfield Networks with InfoLOOB Outperform CLIP
CLOOB: Modern Hopfield Networks with InfoLOOB Outperform CLIP
Andreas Fürst
Elisabeth Rumetshofer
Johannes Lehner
Viet-Hung Tran
Fei Tang
...
David P. Kreil
Michael K Kopp
Günter Klambauer
Angela Bitto-Nemling
Sepp Hochreiter
VLMCLIP
314
104
0
21 Oct 2021
Analyzing and Improving the Optimization Landscape of Noise-Contrastive
  Estimation
Analyzing and Improving the Optimization Landscape of Noise-Contrastive Estimation
Bingbin Liu
Elan Rosenfeld
Pradeep Ravikumar
Andrej Risteski
57
13
0
21 Oct 2021
Dynamic Bottleneck for Robust Self-Supervised Exploration
Dynamic Bottleneck for Robust Self-Supervised Exploration
Chenjia Bai
Lingxiao Wang
Lei Han
Animesh Garg
Jianye Hao
Peng Liu
Zhaoran Wang
64
30
0
20 Oct 2021
Empowering General-purpose User Representation with Full-life Cycle
  Behavior Modeling
Empowering General-purpose User Representation with Full-life Cycle Behavior Modeling
Bei Yang
Jie Gu
Ke Liu
Xiaoxiao Xu
Renjun Xu
Qinghui Sun
Hong Liu
96
5
0
20 Oct 2021
SLAM: A Unified Encoder for Speech and Language Modeling via Speech-Text
  Joint Pre-Training
SLAM: A Unified Encoder for Speech and Language Modeling via Speech-Text Joint Pre-Training
Ankur Bapna
Yu-An Chung
Na Wu
Anmol Gulati
Ye Jia
J. Clark
Melvin Johnson
Jason Riesa
Alexis Conneau
Yu Zhang
VLM
137
96
0
20 Oct 2021
Constrained Mean Shift for Representation Learning
Constrained Mean Shift for Representation Learning
Ajinkya Tejankar
Soroush Abbasi Koohpayegani
Hamed Pirsiavash
SSL
54
0
0
19 Oct 2021
Contrastive Active Inference
Contrastive Active Inference
Pietro Mazzaglia
Tim Verbelen
Bart Dhoedt
80
26
0
19 Oct 2021
SSAST: Self-Supervised Audio Spectrogram Transformer
SSAST: Self-Supervised Audio Spectrogram Transformer
Yuan Gong
Cheng-I Jeff Lai
Yu-An Chung
James R. Glass
ViT
93
277
0
19 Oct 2021
Unsupervised Finetuning
Unsupervised Finetuning
Suichan Li
Dongdong Chen
Yinpeng Chen
Lu Yuan
Lei Zhang
Qi Chu
B. Liu
Nenghai Yu
72
8
0
18 Oct 2021
Understanding Dimensional Collapse in Contrastive Self-supervised
  Learning
Understanding Dimensional Collapse in Contrastive Self-supervised Learning
Li Jing
Pascal Vincent
Yann LeCun
Yuandong Tian
SSL
124
362
0
18 Oct 2021
Self-Supervised Representation Learning: Introduction, Advances and
  Challenges
Self-Supervised Representation Learning: Introduction, Advances and Challenges
Linus Ericsson
Henry Gouk
Chen Change Loy
Timothy M. Hospedales
SSLOODAI4TS
91
281
0
18 Oct 2021
Illiterate DALL-E Learns to Compose
Illiterate DALL-E Learns to Compose
Gautam Singh
Fei Deng
Sungjin Ahn
CoGeOCL
122
139
0
17 Oct 2021
Unsupervised Representation Learning for Binary Networks by Joint
  Classifier Learning
Unsupervised Representation Learning for Binary Networks by Joint Classifier Learning
Dahyun Kim
Jonghyun Choi
SSLMQ
94
5
0
17 Oct 2021
Learning First-Order Rules with Relational Path Contrast for Inductive
  Relation Reasoning
Learning First-Order Rules with Relational Path Contrast for Inductive Relation Reasoning
Yudai Pan
Jun Liu
Lingling Zhang
Xin Hu
Tianzhe Zhao
Qika Lin
104
9
0
17 Oct 2021
Surrogate- and invariance-boosted contrastive learning for data-scarce
  applications in science
Surrogate- and invariance-boosted contrastive learning for data-scarce applications in science
Charlotte Loh
T. Christensen
Rumen Dangovski
Samuel Kim
Marin Soljacic
76
20
0
15 Oct 2021
DS-TOD: Efficient Domain Specialization for Task Oriented Dialog
DS-TOD: Efficient Domain Specialization for Task Oriented Dialog
Chia-Chien Hung
Anne Lauscher
Simone Paolo Ponzetto
Goran Glavaš
99
31
0
15 Oct 2021
Guiding Visual Question Generation
Guiding Visual Question Generation
Nihir Vedd
Zixu Wang
Marek Rei
Yishu Miao
Lucia Specia
138
22
0
15 Oct 2021
Guided Point Contrastive Learning for Semi-supervised Point Cloud
  Semantic Segmentation
Guided Point Contrastive Learning for Semi-supervised Point Cloud Semantic Segmentation
Li Jiang
Shaoshuai Shi
Zhuotao Tian
Xin Lai
Shu Liu
Chi-Wing Fu
Jiaya Jia
SSL3DPC
184
119
0
15 Oct 2021
Rewire-then-Probe: A Contrastive Recipe for Probing Biomedical Knowledge
  of Pre-trained Language Models
Rewire-then-Probe: A Contrastive Recipe for Probing Biomedical Knowledge of Pre-trained Language Models
Zaiqiao Meng
Fangyu Liu
Ehsan Shareghi
Yixuan Su
Charlotte Collins
Nigel Collier
93
28
0
15 Oct 2021
From Multimodal to Unimodal Attention in Transformers using Knowledge
  Distillation
From Multimodal to Unimodal Attention in Transformers using Knowledge Distillation
Dhruv Agarwal
Tanay Agrawal
Laura M. Ferrari
Franccois Bremond
45
5
0
15 Oct 2021
SleepPriorCL: Contrastive Representation Learning with Prior
  Knowledge-based Positive Mining and Adaptive Temperature for Sleep Staging
SleepPriorCL: Contrastive Representation Learning with Prior Knowledge-based Positive Mining and Adaptive Temperature for Sleep Staging
Hongjun Zhang
Jing Wang
Qinfeng Xiao
Jiaoxue Deng
Youfang Lin
110
8
0
15 Oct 2021
Inverse Problems Leveraging Pre-trained Contrastive Representations
Inverse Problems Leveraging Pre-trained Contrastive Representations
Sriram Ravula
Georgios Smyrnis
Matt Jordan
A. Dimakis
SSL
148
9
0
14 Oct 2021
Rethinking Self-Supervision Objectives for Generalizable Coherence
  Modeling
Rethinking Self-Supervision Objectives for Generalizable Coherence Modeling
Prathyusha Jwalapuram
Shafiq Joty
Xiang Lin
104
16
0
14 Oct 2021
Weakly Supervised Semantic Segmentation by Pixel-to-Prototype Contrast
Weakly Supervised Semantic Segmentation by Pixel-to-Prototype Contrast
Ye Du
Zehua Fu
Qingjie Liu
Yunhong Wang
157
138
0
14 Oct 2021
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