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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
Semi-Supervised Learning with Taxonomic Labels
Semi-Supervised Learning with Taxonomic Labels
Jong-Chyi Su
Subhransu Maji
110
10
0
23 Nov 2021
Contrast-reconstruction Representation Learning for Self-supervised
  Skeleton-based Action Recognition
Contrast-reconstruction Representation Learning for Self-supervised Skeleton-based Action Recognition
Peng Wang
Jun Wen
Chenyang Si
Y. Qian
Liang Wang
SSL
107
44
0
22 Nov 2021
Density Ratio Estimation via Infinitesimal Classification
Density Ratio Estimation via Infinitesimal Classification
Kristy Choi
Chenlin Meng
Yang Song
Stefano Ermon
80
42
0
22 Nov 2021
HoughCL: Finding Better Positive Pairs in Dense Self-supervised Learning
HoughCL: Finding Better Positive Pairs in Dense Self-supervised Learning
Yunsung Lee
Teakgyu Hong
Han-Cheol Cho
Junbum Cha
Seungryong Kim
SSL
33
0
0
21 Nov 2021
Towards Graph Self-Supervised Learning with Contrastive Adjusted Zooming
Towards Graph Self-Supervised Learning with Contrastive Adjusted Zooming
Yizhen Zheng
Ming Jin
Shirui Pan
Yuan-Fang Li
Hao Peng
Ming Li
Zhao‐Rui Li
SSL
74
25
0
20 Nov 2021
SLUE: New Benchmark Tasks for Spoken Language Understanding Evaluation
  on Natural Speech
SLUE: New Benchmark Tasks for Spoken Language Understanding Evaluation on Natural Speech
Suwon Shon
Ankita Pasad
Felix Wu
Pablo Brusco
Yoav Artzi
Karen Livescu
Kyu Jeong Han
AuLLMELM
106
76
0
19 Nov 2021
Generalized Decision Transformer for Offline Hindsight Information
  Matching
Generalized Decision Transformer for Offline Hindsight Information Matching
Hiroki Furuta
Y. Matsuo
S. Gu
OffRL
116
104
0
19 Nov 2021
Small Changes Make Big Differences: Improving Multi-turn Response
  Selection in Dialogue Systems via Fine-Grained Contrastive Learning
Small Changes Make Big Differences: Improving Multi-turn Response Selection in Dialogue Systems via Fine-Grained Contrastive Learning
Yuntao Li
Can Xu
Huang Hu
Lei Sha
Yan Zhang
Daxin Jiang
65
12
0
19 Nov 2021
DeepQR: Neural-based Quality Ratings for Learnersourced Multiple-Choice
  Questions
DeepQR: Neural-based Quality Ratings for Learnersourced Multiple-Choice Questions
Lin Ni
Qiming Bao
Xiaoxuan Li
Qianqian Qi
Paul Denny
Jim Warren
Michael Witbrock
Jiamo Liu
AI4Ed
140
15
0
19 Nov 2021
Combined Scaling for Zero-shot Transfer Learning
Combined Scaling for Zero-shot Transfer Learning
Hieu H. Pham
Zihang Dai
Golnaz Ghiasi
Kenji Kawaguchi
Hanxiao Liu
...
Yi-Ting Chen
Minh-Thang Luong
Yonghui Wu
Mingxing Tan
Quoc V. Le
VLM
120
202
0
19 Nov 2021
Meta Clustering Learning for Large-scale Unsupervised Person
  Re-identification
Meta Clustering Learning for Large-scale Unsupervised Person Re-identification
Xin Jin
Tianyu He
Xu Shen
Tongliang Liu
Xinchao Wang
Jianqiang Huang
Zhibo Chen
Xiansheng Hua
90
12
0
19 Nov 2021
Improving Transferability of Representations via Augmentation-Aware
  Self-Supervision
Improving Transferability of Representations via Augmentation-Aware Self-Supervision
Hankook Lee
Kibok Lee
Kimin Lee
Honglak Lee
Jinwoo Shin
SSL
88
55
0
18 Nov 2021
Self-Supervised Class Incremental Learning
Self-Supervised Class Incremental Learning
Zixuan Ni
Siliang Tang
Yueting Zhuang
CLL
68
6
0
18 Nov 2021
XLS-R: Self-supervised Cross-lingual Speech Representation Learning at
  Scale
XLS-R: Self-supervised Cross-lingual Speech Representation Learning at Scale
Arun Babu
Changhan Wang
Andros Tjandra
Kushal Lakhotia
Qiantong Xu
...
Yatharth Saraf
J. Pino
Alexei Baevski
Alexis Conneau
Michael Auli
SSL
114
713
0
17 Nov 2021
Pedestrian Detection by Exemplar-Guided Contrastive Learning
Pedestrian Detection by Exemplar-Guided Contrastive Learning
Zebin Lin
Wenjie Pei
Fanglin Chen
Dafan Zhang
Guangming Lu
84
21
0
17 Nov 2021
Pre-training Graph Neural Network for Cross Domain Recommendation
Pre-training Graph Neural Network for Cross Domain Recommendation
Chen Wang
Yueqing Liang
Zhiwei Liu
Tao Zhang
Philip S. Yu
73
46
0
16 Nov 2021
Joint Unsupervised and Supervised Training for Multilingual ASR
Joint Unsupervised and Supervised Training for Multilingual ASR
Junwen Bai
Yue Liu
Yu Zhang
Ankur Bapna
Nikhil Siddhartha
K. Sim
Tara N. Sainath
86
59
0
15 Nov 2021
LiT: Zero-Shot Transfer with Locked-image text Tuning
LiT: Zero-Shot Transfer with Locked-image text Tuning
Xiaohua Zhai
Tianlin Li
Basil Mustafa
Andreas Steiner
Daniel Keysers
Alexander Kolesnikov
Lucas Beyer
VLM
171
561
0
15 Nov 2021
Large-Scale Hyperspectral Image Clustering Using Contrastive Learning
Large-Scale Hyperspectral Image Clustering Using Contrastive Learning
Yaoming Cai
Zijia Zhang
Yang Liu
Pedram Ghamisi
Kunping Li
Xiaobo Liu
Z. Cai
48
16
0
15 Nov 2021
Learnable Locality-Sensitive Hashing for Video Anomaly Detection
Learnable Locality-Sensitive Hashing for Video Anomaly Detection
Yue Lu
Congqi Cao
Yanning Zhang
58
27
0
15 Nov 2021
Learning Representations for Pixel-based Control: What Matters and Why?
Learning Representations for Pixel-based Control: What Matters and Why?
Manan Tomar
Utkarsh Aashu Mishra
Amy Zhang
Matthew E. Taylor
SSLOffRL
101
26
0
15 Nov 2021
Neural Capacity Estimators: How Reliable Are They?
Neural Capacity Estimators: How Reliable Are They?
Farhad Mirkarimi
Stefano Rini
Nariman Farsad
62
9
0
14 Nov 2021
Contrastive Feature Loss for Image Prediction
Contrastive Feature Loss for Image Prediction
A. Andonian
Taesung Park
Bryan C. Russell
Phillip Isola
Jun-Yan Zhu
Richard Y. Zhang
GANSSL
96
19
0
12 Nov 2021
A Reverse Jensen Inequality Result with Application to Mutual
  Information Estimation
A Reverse Jensen Inequality Result with Application to Mutual Information Estimation
Gerhard Wunder
Benedikt Groß
Rick Fritschek
Rafael F. Schaefer
46
10
0
12 Nov 2021
Masked Autoencoders Are Scalable Vision Learners
Masked Autoencoders Are Scalable Vision Learners
Kaiming He
Xinlei Chen
Saining Xie
Yanghao Li
Piotr Dollár
Ross B. Girshick
ViTTPM
654
7,877
0
11 Nov 2021
Unsupervised Part Discovery from Contrastive Reconstruction
Unsupervised Part Discovery from Contrastive Reconstruction
Subhabrata Choudhury
Iro Laina
Christian Rupprecht
Andrea Vedaldi
OCLSSL
239
62
0
11 Nov 2021
Probabilistic Contrastive Learning for Domain Adaptation
Probabilistic Contrastive Learning for Domain Adaptation
Junjie Li
Yixin Zhang
Zilei Wang
Saihui Hou
Keyu Tu
Man Zhang
182
15
0
11 Nov 2021
Conditional Alignment and Uniformity for Contrastive Learning with
  Continuous Proxy Labels
Conditional Alignment and Uniformity for Contrastive Learning with Continuous Proxy Labels
Benoit Dufumier
Pietro Gori
J. Victor
Antoine Grigis
Edouard Duchesnay
MedIm
57
7
0
10 Nov 2021
Membership Inference Attacks Against Self-supervised Speech Models
Membership Inference Attacks Against Self-supervised Speech Models
Wei-Cheng Tseng
Wei-Tsung Kao
Hung-yi Lee
114
14
0
09 Nov 2021
Dual Prototypical Contrastive Learning for Few-shot Semantic
  Segmentation
Dual Prototypical Contrastive Learning for Few-shot Semantic Segmentation
Hyeongjun Kwon
Somi Jeong
Sunok Kim
Kwanghoon Sohn
VLM
65
10
0
09 Nov 2021
On Representation Knowledge Distillation for Graph Neural Networks
On Representation Knowledge Distillation for Graph Neural Networks
Chaitanya K. Joshi
Fayao Liu
Xu Xun
Jie Lin
Chuan-Sheng Foo
111
64
0
09 Nov 2021
A Survey on Green Deep Learning
A Survey on Green Deep Learning
Jingjing Xu
Wangchunshu Zhou
Zhiyi Fu
Hao Zhou
Lei Li
VLM
203
84
0
08 Nov 2021
SEGA: Semantic Guided Attention on Visual Prototype for Few-Shot
  Learning
SEGA: Semantic Guided Attention on Visual Prototype for Few-Shot Learning
Fengyuan Yang
Ruiping Wang
Xilin Chen
VLM
96
35
0
08 Nov 2021
Meta-TTS: Meta-Learning for Few-Shot Speaker Adaptive Text-to-Speech
Meta-TTS: Meta-Learning for Few-Shot Speaker Adaptive Text-to-Speech
Sung-Feng Huang
Chyi-Jiunn Lin
Da-Rong Liu
Yi-Chen Chen
Hung-yi Lee
126
57
0
07 Nov 2021
Augmentations in Graph Contrastive Learning: Current Methodological
  Flaws & Towards Better Practices
Augmentations in Graph Contrastive Learning: Current Methodological Flaws & Towards Better Practices
Puja Trivedi
Ekdeep Singh Lubana
Yujun Yan
Yaoqing Yang
Danai Koutra
92
55
0
05 Nov 2021
Value Function Spaces: Skill-Centric State Abstractions for Long-Horizon
  Reasoning
Value Function Spaces: Skill-Centric State Abstractions for Long-Horizon Reasoning
Dhruv Shah
Peng Xu
Yao Lu
Ted Xiao
Alexander Toshev
Sergey Levine
Brian Ichter
OffRL
88
43
0
04 Nov 2021
Hard Negative Sampling via Regularized Optimal Transport for Contrastive
  Representation Learning
Hard Negative Sampling via Regularized Optimal Transport for Contrastive Representation Learning
Ruijie Jiang
Prakash Ishwar
Shuchin Aeron
SSL
59
6
0
04 Nov 2021
MixSiam: A Mixture-based Approach to Self-supervised Representation
  Learning
MixSiam: A Mixture-based Approach to Self-supervised Representation Learning
Xiaoyang Guo
Tianhao Zhao
Yutian Lin
Bo Du
SSL
62
6
0
04 Nov 2021
A Comparison of Discrete and Soft Speech Units for Improved Voice
  Conversion
A Comparison of Discrete and Soft Speech Units for Improved Voice Conversion
Benjamin van Niekerk
M. Carbonneau
Julian Zaïdi
Matthew Baas
Hugo Seuté
Herman Kamper
DRL
116
123
0
03 Nov 2021
Video Salient Object Detection via Contrastive Features and Attention
  Modules
Video Salient Object Detection via Contrastive Features and Attention Modules
Yi-Wen Chen
Xiaojie Jin
Xiaohui Shen
Ming-Hsuan Yang
VOS
83
20
0
03 Nov 2021
Implicit Deep Adaptive Design: Policy-Based Experimental Design without
  Likelihoods
Implicit Deep Adaptive Design: Policy-Based Experimental Design without Likelihoods
Desi R. Ivanova
Adam Foster
Steven Kleinegesse
Michael U. Gutmann
Tom Rainforth
OffRL
132
48
0
03 Nov 2021
STC speaker recognition systems for the NIST SRE 2021
STC speaker recognition systems for the NIST SRE 2021
Anastasia Avdeeva
Aleksei Gusev
Igor Korsunov
Alexander Kozlov
G. Lavrentyeva
...
Andrey Shulipa
Alisa Vinogradova
V. Volokhov
Evgeny Smirnov
Vasily Galyuk
68
15
0
03 Nov 2021
Recent Advancements in Self-Supervised Paradigms for Visual Feature
  Representation
Recent Advancements in Self-Supervised Paradigms for Visual Feature Representation
Mrinal Anand
Aditya Garg
SSL
44
2
0
03 Nov 2021
PatchGame: Learning to Signal Mid-level Patches in Referential Games
PatchGame: Learning to Signal Mid-level Patches in Referential Games
Kamal Gupta
Gowthami Somepalli
Anubhav Gupta
Vinoj Jayasundara
Matthias Zwicker
Abhinav Shrivastava
79
4
0
02 Nov 2021
Multi network InfoMax: A pre-training method involving graph
  convolutional networks
Multi network InfoMax: A pre-training method involving graph convolutional networks
Usman Mahmood
Z. Fu
Vince D. Calhoun
Sergey Plis
AI4CE
33
1
0
01 Nov 2021
When Does Contrastive Learning Preserve Adversarial Robustness from
  Pretraining to Finetuning?
When Does Contrastive Learning Preserve Adversarial Robustness from Pretraining to Finetuning?
Lijie Fan
Sijia Liu
Pin-Yu Chen
Gaoyuan Zhang
Chuang Gan
AAMLVLM
95
124
0
01 Nov 2021
A Unified View of cGANs with and without Classifiers
A Unified View of cGANs with and without Classifiers
Si-An Chen
Chun-Liang Li
Hsuan-Tien Lin
GAN
55
10
0
01 Nov 2021
Robot Learning from Randomized Simulations: A Review
Robot Learning from Randomized Simulations: A Review
Fabio Muratore
Fabio Ramos
Greg Turk
Wenhao Yu
Michael Gienger
Jan Peters
AI4CE
119
83
0
01 Nov 2021
Towards the Generalization of Contrastive Self-Supervised Learning
Towards the Generalization of Contrastive Self-Supervised Learning
Weiran Huang
Mingyang Yi
Xuyang Zhao
Zihao Jiang
SSL
98
115
0
01 Nov 2021
Barlow Graph Auto-Encoder for Unsupervised Network Embedding
Barlow Graph Auto-Encoder for Unsupervised Network Embedding
R. A. Khan
M. Kleinsteuber
SSL
53
3
0
29 Oct 2021
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