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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 / 3,248 papers shown
Title
Learn to Ignore: Domain Adaptation for Multi-Site MRI Analysis
Learn to Ignore: Domain Adaptation for Multi-Site MRI Analysis
J. Wolleb
Robin Sandkühler
Florentin Bieder
M. Barakovic
N. Hadjikhani
A. Papadopoulou
Ozgur Yaldizli
J. Kuhle
Cristina Granziera
Philippe C. Cattin
OOD
69
8
0
13 Oct 2021
Unsupervised Contrastive Learning with Simple Transformation for 3D
  Point Cloud Data
Unsupervised Contrastive Learning with Simple Transformation for 3D Point Cloud Data
Jincen Jiang
Xuequan Lu
Wanli Ouyang
Meiling Wang
3DPC
75
7
0
13 Oct 2021
Dict-BERT: Enhancing Language Model Pre-training with Dictionary
Dict-BERT: Enhancing Language Model Pre-training with Dictionary
Wenhao Yu
Chenguang Zhu
Yuwei Fang
Donghan Yu
Shuohang Wang
Yichong Xu
Michael Zeng
Meng Jiang
123
65
0
13 Oct 2021
OpenHands: Making Sign Language Recognition Accessible with Pose-based
  Pretrained Models across Languages
OpenHands: Making Sign Language Recognition Accessible with Pose-based Pretrained Models across Languages
Prem Selvaraj
Gokul Nc
Pratyush Kumar
Mitesh Khapra
VLMSLR
98
55
0
12 Oct 2021
UniSpeech-SAT: Universal Speech Representation Learning with Speaker
  Aware Pre-Training
UniSpeech-SAT: Universal Speech Representation Learning with Speaker Aware Pre-Training
Sanyuan Chen
Yu Wu
Chengyi Wang
Zhengyang Chen
Zhuo Chen
...
Jian Wu
Yao Qian
Furu Wei
Jinyu Li
Xiangzhan Yu
SSL
74
93
0
12 Oct 2021
Supervision Exists Everywhere: A Data Efficient Contrastive
  Language-Image Pre-training Paradigm
Supervision Exists Everywhere: A Data Efficient Contrastive Language-Image Pre-training Paradigm
Yangguang Li
Feng Liang
Lichen Zhao
Yufeng Cui
Wanli Ouyang
Jing Shao
F. Yu
Junjie Yan
VLMCLIP
165
458
0
11 Oct 2021
Towards Demystifying Representation Learning with Non-contrastive
  Self-supervision
Towards Demystifying Representation Learning with Non-contrastive Self-supervision
Xiang Wang
Xinlei Chen
S. Du
Yuandong Tian
SSL
78
26
0
11 Oct 2021
Wav2vec-Switch: Contrastive Learning from Original-noisy Speech Pairs
  for Robust Speech Recognition
Wav2vec-Switch: Contrastive Learning from Original-noisy Speech Pairs for Robust Speech Recognition
Yiming Wang
Jinyu Li
Heming Wang
Yao Qian
Chengyi Wang
Yu Wu
89
48
0
11 Oct 2021
Injecting Text and Cross-lingual Supervision in Few-shot Learning from
  Self-Supervised Models
Injecting Text and Cross-lingual Supervision in Few-shot Learning from Self-Supervised Models
Sanjeev Khudanpur
Desh Raj
Sanjeev Khudanpur
93
6
0
10 Oct 2021
Batch-Softmax Contrastive Loss for Pairwise Sentence Scoring Tasks
Batch-Softmax Contrastive Loss for Pairwise Sentence Scoring Tasks
Anton Chernyavskiy
Dmitry Ilvovsky
Pavel Kalinin
Preslav Nakov
65
8
0
10 Oct 2021
Vector-quantized Image Modeling with Improved VQGAN
Vector-quantized Image Modeling with Improved VQGAN
Jiahui Yu
Xin Li
Jing Yu Koh
Han Zhang
Ruoming Pang
James Qin
Alexander Ku
Yuanzhong Xu
Jason Baldridge
Yonghui Wu
ViTVLMDRL
173
527
0
09 Oct 2021
Universal Paralinguistic Speech Representations Using Self-Supervised
  Conformers
Universal Paralinguistic Speech Representations Using Self-Supervised Conformers
Joel Shor
A. Jansen
Wei Han
Daniel S. Park
Yu Zhang
SSLAI4TS
129
59
0
09 Oct 2021
An Exploration of Self-Supervised Pretrained Representations for
  End-to-End Speech Recognition
An Exploration of Self-Supervised Pretrained Representations for End-to-End Speech Recognition
Xuankai Chang
Takashi Maekaku
Pengcheng Guo
Jing Shi
Yen-Ju Lu
...
Tianzi Wang
Shu-Wen Yang
Yu Tsao
Hung-yi Lee
Shinji Watanabe
SSLAI4TS
78
81
0
09 Oct 2021
X-model: Improving Data Efficiency in Deep Learning with A Minimax Model
X-model: Improving Data Efficiency in Deep Learning with A Minimax Model
Ximei Wang
Xinyang Chen
Jianmin Wang
Mingsheng Long
55
1
0
09 Oct 2021
Unsupervised Representation Learning Meets Pseudo-Label Supervised
  Self-Distillation: A New Approach to Rare Disease Classification
Unsupervised Representation Learning Meets Pseudo-Label Supervised Self-Distillation: A New Approach to Rare Disease Classification
Jinghan Sun
Dong Wei
Kai Ma
Liansheng Wang
Yefeng Zheng
70
8
0
09 Oct 2021
Temperature as Uncertainty in Contrastive Learning
Temperature as Uncertainty in Contrastive Learning
Oliver Zhang
Mike Wu
Jasmine Bayrooti
Noah D. Goodman
UQCV
131
33
0
08 Oct 2021
Hybrid Random Features
Hybrid Random Features
K. Choromanski
Haoxian Chen
Han Lin
Yuanzhe Ma
Arijit Sehanobish
...
Andy Zeng
Valerii Likhosherstov
Dmitry Kalashnikov
Vikas Sindhwani
Adrian Weller
82
21
0
08 Oct 2021
SubTab: Subsetting Features of Tabular Data for Self-Supervised
  Representation Learning
SubTab: Subsetting Features of Tabular Data for Self-Supervised Representation Learning
Talip Uçar
Ehsan Hajiramezanali
Lindsay Edwards
LMTDSSL
97
136
0
08 Oct 2021
Cognitive Coding of Speech
Cognitive Coding of Speech
Reza Lotfidereshgi
P. Gournay
60
5
0
08 Oct 2021
3D Infomax improves GNNs for Molecular Property Prediction
3D Infomax improves GNNs for Molecular Property Prediction
Hannes Stärk
Dominique Beaini
Gabriele Corso
Prudencio Tossou
Christian Dallago
Stephan Günnemann
Pietro Lio
AI4CE
119
208
0
08 Oct 2021
RPT: Toward Transferable Model on Heterogeneous Researcher Data via
  Pre-Training
RPT: Toward Transferable Model on Heterogeneous Researcher Data via Pre-Training
Ziyue Qiao
Yanjie Fu
Pengyang Wang
Meng Xiao
Zhiyuan Ning
Denghui Zhang
Yi Du
Yuanchun Zhou
99
13
0
08 Oct 2021
Pre-training Molecular Graph Representation with 3D Geometry
Pre-training Molecular Graph Representation with 3D Geometry
Shengchao Liu
Hanchen Wang
Weiyang Liu
Joan Lasenby
Hongyu Guo
Jian Tang
197
321
0
07 Oct 2021
Magic dust for cross-lingual adaptation of monolingual wav2vec-2.0
Magic dust for cross-lingual adaptation of monolingual wav2vec-2.0
Sameer Khurana
Antoine Laurent
James R. Glass
VLM
119
18
0
07 Oct 2021
Mandarin-English Code-switching Speech Recognition with Self-supervised
  Speech Representation Models
Mandarin-English Code-switching Speech Recognition with Self-supervised Speech Representation Models
Liang-Hsuan Tseng
Yu-Kuan Fu
Heng-Jui Chang
Hung-yi Lee
SSL
42
14
0
07 Oct 2021
Model Adaptation: Historical Contrastive Learning for Unsupervised
  Domain Adaptation without Source Data
Model Adaptation: Historical Contrastive Learning for Unsupervised Domain Adaptation without Source Data
Jiaxing Huang
Dayan Guan
Aoran Xiao
Shijian Lu
247
224
0
07 Oct 2021
Unsupervised Selective Labeling for More Effective Semi-Supervised
  Learning
Unsupervised Selective Labeling for More Effective Semi-Supervised Learning
Xudong Wang
Long Lian
Stella X. Yu
265
32
0
06 Oct 2021
The Information Geometry of Unsupervised Reinforcement Learning
The Information Geometry of Unsupervised Reinforcement Learning
Benjamin Eysenbach
Ruslan Salakhutdinov
Sergey Levine
SSLOffRL
118
35
0
06 Oct 2021
KNN-BERT: Fine-Tuning Pre-Trained Models with KNN Classifier
KNN-BERT: Fine-Tuning Pre-Trained Models with KNN Classifier
Linyang Li
Demin Song
Ruotian Ma
Xipeng Qiu
Xuanjing Huang
107
21
0
06 Oct 2021
On the Surrogate Gap between Contrastive and Supervised Losses
On the Surrogate Gap between Contrastive and Supervised Losses
Han Bao
Yoshihiro Nagano
Kento Nozawa
SSLUQCV
84
22
0
06 Oct 2021
The Power of Contrast for Feature Learning: A Theoretical Analysis
The Power of Contrast for Feature Learning: A Theoretical Analysis
Wenlong Ji
Zhun Deng
Ryumei Nakada
James Zou
Linjun Zhang
SSL
140
53
0
06 Oct 2021
Unsupervised Speech Segmentation and Variable Rate Representation
  Learning using Segmental Contrastive Predictive Coding
Unsupervised Speech Segmentation and Variable Rate Representation Learning using Segmental Contrastive Predictive Coding
Saurabhchand Bhati
Jesús Villalba
Piotr Żelasko
Laureano Moro-Velazquez
Najim Dehak
SSL
132
23
0
05 Oct 2021
ProGCL: Rethinking Hard Negative Mining in Graph Contrastive Learning
ProGCL: Rethinking Hard Negative Mining in Graph Contrastive Learning
Jun Xia
Lirong Wu
Ge Wang
Jintao Chen
Stan Z. Li
69
123
0
05 Oct 2021
DistilHuBERT: Speech Representation Learning by Layer-wise Distillation
  of Hidden-unit BERT
DistilHuBERT: Speech Representation Learning by Layer-wise Distillation of Hidden-unit BERT
Heng-Jui Chang
Shu-Wen Yang
Hung-yi Lee
SSL
156
175
0
05 Oct 2021
Wireless Link Scheduling via Graph Representation Learning: A
  Comparative Study of Different Supervision Levels
Wireless Link Scheduling via Graph Representation Learning: A Comparative Study of Different Supervision Levels
Navid Naderializadeh
94
4
0
04 Oct 2021
Deep Fraud Detection on Non-attributed Graph
Deep Fraud Detection on Non-attributed Graph
Chen Wang
Yingtong Dou
Min Chen
Jia Chen
Zhiwei Liu
Philip S. Yu
GNN
59
19
0
04 Oct 2021
Counterfactual Samples Synthesizing and Training for Robust Visual
  Question Answering
Counterfactual Samples Synthesizing and Training for Robust Visual Question Answering
Long Chen
Yuhang Zheng
Yulei Niu
Hanwang Zhang
Jun Xiao
AAMLOOD
119
37
0
03 Oct 2021
Seeking Visual Discomfort: Curiosity-driven Representations for
  Reinforcement Learning
Seeking Visual Discomfort: Curiosity-driven Representations for Reinforcement Learning
Elie Aljalbout
Maximilian Ulmer
Rudolph Triebel
71
2
0
02 Oct 2021
Speech Technology for Everyone: Automatic Speech Recognition for
  Non-Native English with Transfer Learning
Speech Technology for Everyone: Automatic Speech Recognition for Non-Native English with Transfer Learning
Toshiko Shibano
Xinyi Zhang
Miao Li
Haejin Cho
Peter Sullivan
Muhammad Abdul-Mageed
VLM
60
18
0
01 Oct 2021
Stochastic Contrastive Learning
Stochastic Contrastive Learning
Jason Ramapuram
Dan Busbridge
Xavier Suau
Russ Webb
BDLSSL
105
3
0
01 Oct 2021
Do Self-Supervised and Supervised Methods Learn Similar Visual
  Representations?
Do Self-Supervised and Supervised Methods Learn Similar Visual Representations?
Tom George Grigg
Dan Busbridge
Jason Ramapuram
Russ Webb
SSLDRL
88
27
0
01 Oct 2021
DualNet: Continual Learning, Fast and Slow
DualNet: Continual Learning, Fast and Slow
Quang Pham
Chenghao Liu
Guosheng Lin
CLL
147
45
0
01 Oct 2021
Large-scale ASR Domain Adaptation using Self- and Semi-supervised
  Learning
Large-scale ASR Domain Adaptation using Self- and Semi-supervised Learning
DongSeon Hwang
Ananya Misra
Zhouyuan Huo
Nikhil Siddhartha
Shefali Garg
David Qiu
K. Sim
Trevor Strohman
F. Beaufays
Yanzhang He
160
38
0
01 Oct 2021
Incremental Layer-wise Self-Supervised Learning for Efficient Speech
  Domain Adaptation On Device
Incremental Layer-wise Self-Supervised Learning for Efficient Speech Domain Adaptation On Device
Zhouyuan Huo
Dong-Gyo Hwang
K. Sim
Shefali Garg
Ananya Misra
Nikhil Siddhartha
Trevor Strohman
Franccoise Beaufays
149
7
0
01 Oct 2021
Unsupervised Few-Shot Action Recognition via Action-Appearance Aligned
  Meta-Adaptation
Unsupervised Few-Shot Action Recognition via Action-Appearance Aligned Meta-Adaptation
Jay Patravali
Gaurav Mittal
Ye Yu
Fuxin Li
Mei Chen
94
19
0
30 Sep 2021
Motion-aware Contrastive Video Representation Learning via
  Foreground-background Merging
Motion-aware Contrastive Video Representation Learning via Foreground-background Merging
Shuangrui Ding
Maomao Li
Tianyu Yang
Rui Qian
Haohang Xu
Qingyi Chen
Jue Wang
Hongkai Xiong
SSL
88
51
0
30 Sep 2021
CrossCLR: Cross-modal Contrastive Learning For Multi-modal Video
  Representations
CrossCLR: Cross-modal Contrastive Learning For Multi-modal Video Representations
Mohammadreza Zolfaghari
Yi Zhu
Peter V. Gehler
Thomas Brox
194
130
0
30 Sep 2021
CALDA: Improving Multi-Source Time Series Domain Adaptation with
  Contrastive Adversarial Learning
CALDA: Improving Multi-Source Time Series Domain Adaptation with Contrastive Adversarial Learning
Garrett Wilson
J. Doppa
D. Cook
80
34
0
30 Sep 2021
Comparison of Self-Supervised Speech Pre-Training Methods on Flemish
  Dutch
Comparison of Self-Supervised Speech Pre-Training Methods on Flemish Dutch
Jakob Poncelet
Hugo Van hamme
SSL
58
1
0
29 Sep 2021
Towards Communication-Efficient and Privacy-Preserving Federated
  Representation Learning
Towards Communication-Efficient and Privacy-Preserving Federated Representation Learning
Haizhou Shi
Youcai Zhang
Zijin Shen
Siliang Tang
Yaqian Li
Yandong Guo
Yueting Zhuang
40
6
0
29 Sep 2021
VideoCLIP: Contrastive Pre-training for Zero-shot Video-Text
  Understanding
VideoCLIP: Contrastive Pre-training for Zero-shot Video-Text Understanding
Hu Xu
Gargi Ghosh
Po-Yao (Bernie) Huang
Dmytro Okhonko
Armen Aghajanyan
Florian Metze
Luke Zettlemoyer
Florian Metze Luke Zettlemoyer Christoph Feichtenhofer
CLIPVLM
317
583
0
28 Sep 2021
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