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Contrastive Multiview Coding

Contrastive Multiview Coding

13 June 2019
Yonglong Tian
Dilip Krishnan
Phillip Isola
    SSL
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Papers citing "Contrastive Multiview Coding"

50 / 474 papers shown
Title
Geography-Aware Self-Supervised Learning
Geography-Aware Self-Supervised Learning
Kumar Ayush
Burak Uzkent
Chenlin Meng
Kumar Tanmay
Marshall Burke
David B. Lobell
Stefano Ermon
SSL
23
227
0
19 Nov 2020
Heterogeneous Contrastive Learning: Encoding Spatial Information for
  Compact Visual Representations
Heterogeneous Contrastive Learning: Encoding Spatial Information for Compact Visual Representations
Xinyue Huo
Lingxi Xie
Longhui Wei
Xiaopeng Zhang
Hao Li
Zijie Yang
Wen-gang Zhou
Houqiang Li
Qi Tian
SSL
6
13
0
19 Nov 2020
Bi-tuning of Pre-trained Representations
Bi-tuning of Pre-trained Representations
Jincheng Zhong
Ximei Wang
Zhi Kou
Jianmin Wang
Mingsheng Long
13
21
0
12 Nov 2020
Unsupervised Video Representation Learning by Bidirectional Feature
  Prediction
Unsupervised Video Representation Learning by Bidirectional Feature Prediction
Nadine Behrmann
Juergen Gall
M. Noroozi
SSL
MDE
22
29
0
11 Nov 2020
Towards Domain-Agnostic Contrastive Learning
Towards Domain-Agnostic Contrastive Learning
Vikas Verma
Minh-Thang Luong
Kenji Kawaguchi
Hieu H. Pham
Quoc V. Le
SSL
15
115
0
09 Nov 2020
Intriguing Properties of Contrastive Losses
Intriguing Properties of Contrastive Losses
Ting Chen
Calvin Luo
Lala Li
28
173
0
05 Nov 2020
Center-wise Local Image Mixture For Contrastive Representation Learning
Center-wise Local Image Mixture For Contrastive Representation Learning
Hao Li
Xiaopeng Zhang
H. Xiong
8
8
0
05 Nov 2020
Learning Representations from Audio-Visual Spatial Alignment
Learning Representations from Audio-Visual Spatial Alignment
Pedro Morgado
Yi Li
Nuno Vasconcelos
SSL
13
121
0
03 Nov 2020
Pretext-Contrastive Learning: Toward Good Practices in Self-supervised
  Video Representation Leaning
Pretext-Contrastive Learning: Toward Good Practices in Self-supervised Video Representation Leaning
L. Tao
Xueting Wang
T. Yamasaki
VLM
SSL
18
14
0
29 Oct 2020
Quantifying Learnability and Describability of Visual Concepts Emerging
  in Representation Learning
Quantifying Learnability and Describability of Visual Concepts Emerging in Representation Learning
Iro Laina
Ruth C. Fong
Andrea Vedaldi
OCL
20
13
0
27 Oct 2020
Graph Contrastive Learning with Adaptive Augmentation
Graph Contrastive Learning with Adaptive Augmentation
Yanqiao Zhu
Yichen Xu
Feng Yu
Qiang Liu
Shu Wu
Liang Wang
11
1,072
0
27 Oct 2020
Robust Pre-Training by Adversarial Contrastive Learning
Robust Pre-Training by Adversarial Contrastive Learning
Ziyu Jiang
Tianlong Chen
Ting-Li Chen
Zhangyang Wang
13
226
0
26 Oct 2020
Federated Unsupervised Representation Learning
Federated Unsupervised Representation Learning
Fengda Zhang
Kun Kuang
Zhaoyang You
T. Shen
Jun Xiao
Yin Zhang
Chao-Xiang Wu
Yueting Zhuang
Xiaolin Li
FedML
20
133
0
18 Oct 2020
For self-supervised learning, Rationality implies generalization,
  provably
For self-supervised learning, Rationality implies generalization, provably
Yamini Bansal
Gal Kaplun
Boaz Barak
OOD
SSL
52
22
0
16 Oct 2020
Masked Contrastive Representation Learning for Reinforcement Learning
Masked Contrastive Representation Learning for Reinforcement Learning
Jinhua Zhu
Yingce Xia
Lijun Wu
Jiajun Deng
Wen-gang Zhou
Tao Qin
Houqiang Li
SSL
OffRL
26
55
0
15 Oct 2020
Viewmaker Networks: Learning Views for Unsupervised Representation
  Learning
Viewmaker Networks: Learning Views for Unsupervised Representation Learning
Alex Tamkin
Mike Wu
Noah D. Goodman
SSL
20
64
0
14 Oct 2020
MixCo: Mix-up Contrastive Learning for Visual Representation
MixCo: Mix-up Contrastive Learning for Visual Representation
Sungnyun Kim
Gihun Lee
Sangmin Bae
Seyoung Yun
SSL
104
80
0
13 Oct 2020
Contrastive Learning with Hard Negative Samples
Contrastive Learning with Hard Negative Samples
Joshua Robinson
Ching-Yao Chuang
S. Sra
Stefanie Jegelka
SSL
49
759
0
09 Oct 2020
Representation Learning for Sequence Data with Deep Autoencoding
  Predictive Components
Representation Learning for Sequence Data with Deep Autoencoding Predictive Components
Junwen Bai
Weiran Wang
Yingbo Zhou
Caiming Xiong
SSL
AI4TS
18
12
0
07 Oct 2020
Hard Negative Mixing for Contrastive Learning
Hard Negative Mixing for Contrastive Learning
Yannis Kalantidis
Mert Bulent Sariyildiz
Noé Pion
Philippe Weinzaepfel
Diane Larlus
SSL
27
628
0
02 Oct 2020
Understanding Self-supervised Learning with Dual Deep Networks
Understanding Self-supervised Learning with Dual Deep Networks
Yuandong Tian
Lantao Yu
Xinlei Chen
Surya Ganguli
SSL
13
78
0
01 Oct 2020
Driver Anomaly Detection: A Dataset and Contrastive Learning Approach
Driver Anomaly Detection: A Dataset and Contrastive Learning Approach
Okan Kopuklu
Ji-ming Zheng
Hang Xu
Gerhard Rigoll
16
79
0
30 Sep 2020
CoKe: Localized Contrastive Learning for Robust Keypoint Detection
CoKe: Localized Contrastive Learning for Robust Keypoint Detection
Yutong Bai
Angtian Wang
Adam Kortylewski
Alan Yuille
10
14
0
29 Sep 2020
Contrastive and Generative Graph Convolutional Networks for Graph-based
  Semi-Supervised Learning
Contrastive and Generative Graph Convolutional Networks for Graph-based Semi-Supervised Learning
Sheng Wan
Shirui Pan
Jian Yang
Chen Gong
SSL
17
137
0
15 Sep 2020
A Primer on Motion Capture with Deep Learning: Principles, Pitfalls and
  Perspectives
A Primer on Motion Capture with Deep Learning: Principles, Pitfalls and Perspectives
Alexander Mathis
Steffen Schneider
Jessy Lauer
Mackenzie W. Mathis
20
165
0
01 Sep 2020
A Framework For Contrastive Self-Supervised Learning And Designing A New
  Approach
A Framework For Contrastive Self-Supervised Learning And Designing A New Approach
William Falcon
Kyunghyun Cho
SSL
11
103
0
31 Aug 2020
Delving into Inter-Image Invariance for Unsupervised Visual
  Representations
Delving into Inter-Image Invariance for Unsupervised Visual Representations
Jiahao Xie
Xiaohang Zhan
Ziwei Liu
Yew-Soon Ong
Chen Change Loy
SSL
VLM
13
58
0
26 Aug 2020
What Should Not Be Contrastive in Contrastive Learning
What Should Not Be Contrastive in Contrastive Learning
Tete Xiao
Xiaolong Wang
Alexei A. Efros
Trevor Darrell
SSL
DRL
10
298
0
13 Aug 2020
Self-Supervised Learning of Audio-Visual Objects from Video
Self-Supervised Learning of Audio-Visual Objects from Video
Triantafyllos Afouras
Andrew Owens
Joon Son Chung
Andrew Zisserman
SSL
17
250
0
10 Aug 2020
Temporal Context Aggregation for Video Retrieval with Contrastive
  Learning
Temporal Context Aggregation for Video Retrieval with Contrastive Learning
Jie Shao
Xin Wen
Bingchen Zhao
Xiangyang Xue
AI4TS
30
4
0
04 Aug 2020
SeCo: Exploring Sequence Supervision for Unsupervised Representation
  Learning
SeCo: Exploring Sequence Supervision for Unsupervised Representation Learning
Ting Yao
Yiheng Zhang
Zhaofan Qiu
Yingwei Pan
Tao Mei
DRL
13
108
0
03 Aug 2020
Augmented Skeleton Based Contrastive Action Learning with Momentum LSTM
  for Unsupervised Action Recognition
Augmented Skeleton Based Contrastive Action Learning with Momentum LSTM for Unsupervised Action Recognition
Haocong Rao
Shihao Xu
Xiping Hu
Jun Cheng
Bin Hu
22
191
0
01 Aug 2020
Learning Video Representations from Textual Web Supervision
Learning Video Representations from Textual Web Supervision
Jonathan C. Stroud
Zhichao Lu
Chen Sun
Jia Deng
Rahul Sukthankar
Cordelia Schmid
David A. Ross
SSL
24
48
0
29 Jul 2020
Demystifying Contrastive Self-Supervised Learning: Invariances,
  Augmentations and Dataset Biases
Demystifying Contrastive Self-Supervised Learning: Invariances, Augmentations and Dataset Biases
Senthil Purushwalkam
Abhinav Gupta
SSL
11
213
0
28 Jul 2020
Representation Learning with Video Deep InfoMax
Representation Learning with Video Deep InfoMax
R. Devon Hjelm
Philip Bachman
SSL
MDE
14
28
0
27 Jul 2020
Self-supervised Feature Learning via Exploiting Multi-modal Data for
  Retinal Disease Diagnosis
Self-supervised Feature Learning via Exploiting Multi-modal Data for Retinal Disease Diagnosis
Xiaomeng Li
M. Jia
Md Tauhidul Islam
Lequan Yu
Lei Xing
18
109
0
21 Jul 2020
Autoregressive Unsupervised Image Segmentation
Autoregressive Unsupervised Image Segmentation
Yassine Ouali
C´eline Hudelot
Myriam Tami
SSL
24
86
0
16 Jul 2020
GraphCL: Contrastive Self-Supervised Learning of Graph Representations
GraphCL: Contrastive Self-Supervised Learning of Graph Representations
H. Hafidi
Mounir Ghogho
P. Ciblat
A. Swami
SSL
20
53
0
15 Jul 2020
Progressive Cluster Purification for Unsupervised Feature Learning
Progressive Cluster Purification for Unsupervised Feature Learning
Yifei Zhang
Chang-rui Liu
Yu Zhou
Wei Wang
Weiping Wang
QiXiang Ye
9
13
0
06 Jul 2020
Self-Supervised MultiModal Versatile Networks
Self-Supervised MultiModal Versatile Networks
Jean-Baptiste Alayrac
Adrià Recasens
R. Schneider
Relja Arandjelović
Jason Ramapuram
J. Fauw
Lucas Smaira
Sander Dieleman
Andrew Zisserman
SSL
40
371
0
29 Jun 2020
Domain Contrast for Domain Adaptive Object Detection
Domain Contrast for Domain Adaptive Object Detection
Feng Liu
Xiaosong Zhang
Fang Wan
Xiangyang Ji
QiXiang Ye
8
31
0
26 Jun 2020
Parametric Instance Classification for Unsupervised Visual Feature
  Learning
Parametric Instance Classification for Unsupervised Visual Feature Learning
Yue Cao
Zhenda Xie
B. Liu
Yutong Lin
Zheng-Wei Zhang
Han Hu
VLM
18
60
0
25 Jun 2020
Online Deep Clustering for Unsupervised Representation Learning
Online Deep Clustering for Unsupervised Representation Learning
Xiaohang Zhan
Jiahao Xie
Ziwei Liu
Yew-Soon Ong
Chen Change Loy
OOD
29
184
0
18 Jun 2020
GCC: Graph Contrastive Coding for Graph Neural Network Pre-Training
GCC: Graph Contrastive Coding for Graph Neural Network Pre-Training
J. Qiu
Qibin Chen
Yuxiao Dong
Jing Zhang
Hongxia Yang
Ming Ding
Kuansan Wang
Jie Tang
SSL
38
931
0
17 Jun 2020
Self-supervised Learning: Generative or Contrastive
Self-supervised Learning: Generative or Contrastive
Xiao Liu
Fanjin Zhang
Zhenyu Hou
Zhaoyu Wang
Li Mian
Jing Zhang
Jie Tang
SSL
31
1,586
0
15 Jun 2020
Bootstrap your own latent: A new approach to self-supervised Learning
Bootstrap your own latent: A new approach to self-supervised Learning
Jean-Bastien Grill
Florian Strub
Florent Altché
Corentin Tallec
Pierre Harvey Richemond
...
M. G. Azar
Bilal Piot
Koray Kavukcuoglu
Rémi Munos
Michal Valko
SSL
49
6,643
0
13 Jun 2020
Adversarial Self-Supervised Contrastive Learning
Adversarial Self-Supervised Contrastive Learning
Minseon Kim
Jihoon Tack
Sung Ju Hwang
SSL
20
246
0
13 Jun 2020
Deep Reinforcement and InfoMax Learning
Deep Reinforcement and InfoMax Learning
Bogdan Mazoure
Rémi Tachet des Combes
T. Doan
Philip Bachman
R. Devon Hjelm
AI4CE
17
108
0
12 Jun 2020
Knowledge Distillation Meets Self-Supervision
Knowledge Distillation Meets Self-Supervision
Guodong Xu
Ziwei Liu
Xiaoxiao Li
Chen Change Loy
FedML
23
280
0
12 Jun 2020
VirTex: Learning Visual Representations from Textual Annotations
VirTex: Learning Visual Representations from Textual Annotations
Karan Desai
Justin Johnson
SSL
VLM
19
432
0
11 Jun 2020
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