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Contrastive Multiview Coding

Contrastive Multiview Coding

13 June 2019
Yonglong Tian
Dilip Krishnan
Phillip Isola
    SSL
ArXivPDFHTML

Papers citing "Contrastive Multiview Coding"

50 / 588 papers shown
Title
Decoupling the Role of Data, Attention, and Losses in Multimodal
  Transformers
Decoupling the Role of Data, Attention, and Losses in Multimodal Transformers
Lisa Anne Hendricks
John F. J. Mellor
R. Schneider
Jean-Baptiste Alayrac
Aida Nematzadeh
79
110
0
31 Jan 2021
Bottleneck Transformers for Visual Recognition
Bottleneck Transformers for Visual Recognition
A. Srinivas
Nayeon Lee
Niki Parmar
Jonathon Shlens
Pieter Abbeel
Ashish Vaswani
SLR
290
980
0
27 Jan 2021
Calibrating and Improving Graph Contrastive Learning
Calibrating and Improving Graph Contrastive Learning
Kaili Ma
Haochen Yang
Han Yang
Yongqiang Chen
James Cheng
47
6
0
27 Jan 2021
Contrastive Prototype Learning with Augmented Embeddings for Few-Shot
  Learning
Contrastive Prototype Learning with Augmented Embeddings for Few-Shot Learning
Yizhao Gao
Nanyi Fei
Guangzhen Liu
Zhiwu Lu
Tao Xiang
Songfang Huang
61
35
0
23 Jan 2021
Exponential Moving Average Normalization for Self-supervised and
  Semi-supervised Learning
Exponential Moving Average Normalization for Self-supervised and Semi-supervised Learning
Zhaowei Cai
Avinash Ravichandran
Subhransu Maji
Charless C. Fowlkes
Z. Tu
Stefano Soatto
36
118
0
21 Jan 2021
Momentum^2 Teacher: Momentum Teacher with Momentum Statistics for
  Self-Supervised Learning
Momentum^2 Teacher: Momentum Teacher with Momentum Statistics for Self-Supervised Learning
Zeming Li
Songtao Liu
Jian Sun
51
16
0
19 Jan 2021
DICE: Diversity in Deep Ensembles via Conditional Redundancy Adversarial
  Estimation
DICE: Diversity in Deep Ensembles via Conditional Redundancy Adversarial Estimation
Alexandre Ramé
Matthieu Cord
FedML
53
51
0
14 Jan 2021
Big Self-Supervised Models Advance Medical Image Classification
Big Self-Supervised Models Advance Medical Image Classification
Shekoofeh Azizi
Basil Mustafa
Fiona Ryan
Zach Beaver
Jan Freyberg
...
Alan Karthikesalingam
Simon Kornblith
Ting-Li Chen
Vivek Natarajan
Mohammad Norouzi
SSL
42
504
0
13 Jan 2021
SEED: Self-supervised Distillation For Visual Representation
SEED: Self-supervised Distillation For Visual Representation
Zhiyuan Fang
Jianfeng Wang
Lijuan Wang
Lei Zhang
Yezhou Yang
Zicheng Liu
SSL
245
190
0
12 Jan 2021
Self-Supervised Pretraining of 3D Features on any Point-Cloud
Self-Supervised Pretraining of 3D Features on any Point-Cloud
Zaiwei Zhang
Rohit Girdhar
Armand Joulin
Ishan Misra
3DPC
126
268
0
07 Jan 2021
Transformers in Vision: A Survey
Transformers in Vision: A Survey
Salman Khan
Muzammal Naseer
Munawar Hayat
Syed Waqas Zamir
Fahad Shahbaz Khan
M. Shah
ViT
227
2,431
0
04 Jan 2021
Learning the Predictability of the Future
Learning the Predictability of the Future
Dídac Surís
Ruoshi Liu
Carl Vondrick
24
71
0
01 Jan 2021
CLEAR: Contrastive Learning for Sentence Representation
CLEAR: Contrastive Learning for Sentence Representation
Zhuofeng Wu
Sinong Wang
Jiatao Gu
Madian Khabsa
Fei Sun
Hao Ma
SSL
33
319
0
31 Dec 2020
P4Contrast: Contrastive Learning with Pairs of Point-Pixel Pairs for
  RGB-D Scene Understanding
P4Contrast: Contrastive Learning with Pairs of Point-Pixel Pairs for RGB-D Scene Understanding
Yunze Liu
Li Yi
Shanghang Zhang
Qingnan Fan
Thomas Funkhouser
Hao Dong
SSL
36
58
0
24 Dec 2020
Addressing Feature Suppression in Unsupervised Visual Representations
Addressing Feature Suppression in Unsupervised Visual Representations
Tianhong Li
Lijie Fan
Yuan. Yuan
Hao He
Yonglong Tian
Rogerio Feris
Piotr Indyk
Dina Katabi
SSL
33
15
0
17 Dec 2020
Exploring Data-Efficient 3D Scene Understanding with Contrastive Scene
  Contexts
Exploring Data-Efficient 3D Scene Understanding with Contrastive Scene Contexts
Ji Hou
Benjamin Graham
Matthias Nießner
Saining Xie
3DPC
56
263
0
16 Dec 2020
Understanding the Behaviour of Contrastive Loss
Understanding the Behaviour of Contrastive Loss
Feng Wang
Huaping Liu
SSL
61
667
0
15 Dec 2020
Hypothesis Disparity Regularized Mutual Information Maximization
Hypothesis Disparity Regularized Mutual Information Maximization
Qicheng Lao
Xiang Jiang
Mohammad Havaei
33
24
0
15 Dec 2020
Aggregative Self-Supervised Feature Learning from a Limited Sample
Aggregative Self-Supervised Feature Learning from a Limited Sample
Jiuwen Zhu
Yuexiang Li
S. Kevin Zhou
SSL
27
0
0
14 Dec 2020
Information-Theoretic Segmentation by Inpainting Error Maximization
Information-Theoretic Segmentation by Inpainting Error Maximization
Pedro H. P. Savarese
Sunnie S. Y. Kim
Michael Maire
G. Shakhnarovich
David A. McAllester
44
29
0
14 Dec 2020
Contrastive Learning of Relative Position Regression for One-Shot Object
  Localization in 3D Medical Images
Contrastive Learning of Relative Position Regression for One-Shot Object Localization in 3D Medical Images
Wenhui Lei
Wei Xu
Ran Gu
Haoyuan Fu
Shaoting Zhang
Guotai Wang
48
27
0
13 Dec 2020
Contrastive Learning for Label-Efficient Semantic Segmentation
Contrastive Learning for Label-Efficient Semantic Segmentation
Xiangyu Zhao
Raviteja Vemulapalli
Philip Mansfield
Boqing Gong
Bradley Green
Lior Shapira
Ying Nian Wu
SSL
SSeg
36
174
0
13 Dec 2020
The Lottery Tickets Hypothesis for Supervised and Self-supervised
  Pre-training in Computer Vision Models
The Lottery Tickets Hypothesis for Supervised and Self-supervised Pre-training in Computer Vision Models
Tianlong Chen
Jonathan Frankle
Shiyu Chang
Sijia Liu
Yang Zhang
Michael Carbin
Zhangyang Wang
27
122
0
12 Dec 2020
A Comprehensive Study of Deep Video Action Recognition
A Comprehensive Study of Deep Video Action Recognition
Yi Zhu
Xinyu Li
Chunhui Liu
Mohammadreza Zolfaghari
Yuanjun Xiong
Chongruo Wu
Zhi-Li Zhang
Joseph Tighe
R. Manmatha
Mu Li
VLM
AI4TS
38
185
0
11 Dec 2020
CASTing Your Model: Learning to Localize Improves Self-Supervised
  Representations
CASTing Your Model: Learning to Localize Improves Self-Supervised Representations
Ramprasaath R. Selvaraju
Karan Desai
Justin Johnson
Nikhil Naik
SSL
36
79
0
08 Dec 2020
Seed the Views: Hierarchical Semantic Alignment for Contrastive
  Representation Learning
Seed the Views: Hierarchical Semantic Alignment for Contrastive Representation Learning
Haohang Xu
Xiaopeng Zhang
Hao Li
Lingxi Xie
H. Xiong
Qi Tian
SSL
16
12
0
04 Dec 2020
Self supervised contrastive learning for digital histopathology
Self supervised contrastive learning for digital histopathology
Ozan Ciga
Tony Xu
Anne L. Martel
SSL
114
306
0
27 Nov 2020
How Well Do Self-Supervised Models Transfer?
How Well Do Self-Supervised Models Transfer?
Linus Ericsson
Henry Gouk
Timothy M. Hospedales
SSL
35
274
0
26 Nov 2020
Can Temporal Information Help with Contrastive Self-Supervised Learning?
Can Temporal Information Help with Contrastive Self-Supervised Learning?
Yutong Bai
Haoqi Fan
Ishan Misra
Ganesh Venkatesh
Yongyi Lu
Yuyin Zhou
Qihang Yu
Vikas Chandra
Alan Yuille
24
40
0
25 Nov 2020
Unsupervised Object Detection with LiDAR Clues
Unsupervised Object Detection with LiDAR Clues
Haofei Tian
Yuntao Chen
Jifeng Dai
Zhaoxiang Zhang
Xizhou Zhu
3DPC
33
28
0
25 Nov 2020
PGL: Prior-Guided Local Self-supervised Learning for 3D Medical Image
  Segmentation
PGL: Prior-Guided Local Self-supervised Learning for 3D Medical Image Segmentation
Yutong Xie
Jianpeng Zhang
Zehui Liao
Yong-quan Xia
Chunhua Shen
18
46
0
25 Nov 2020
Boosting Contrastive Self-Supervised Learning with False Negative
  Cancellation
Boosting Contrastive Self-Supervised Learning with False Negative Cancellation
T. Huynh
Simon Kornblith
Matthew R. Walter
Michael Maire
M. Khademi
SSL
22
165
0
23 Nov 2020
Hierarchically Decoupled Spatial-Temporal Contrast for Self-supervised
  Video Representation Learning
Hierarchically Decoupled Spatial-Temporal Contrast for Self-supervised Video Representation Learning
Zehua Zhang
David J. Crandall
AI4TS
SSL
28
23
0
23 Nov 2020
Exploring Simple Siamese Representation Learning
Exploring Simple Siamese Representation Learning
Xinlei Chen
Kaiming He
SSL
40
3,960
0
20 Nov 2020
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
37
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
14
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
21
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
32
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
36
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
21
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
27
121
0
03 Nov 2020
Supervised Contrastive Learning for Pre-trained Language Model
  Fine-tuning
Supervised Contrastive Learning for Pre-trained Language Model Fine-tuning
Beliz Gunel
Jingfei Du
Alexis Conneau
Ves Stoyanov
18
497
0
03 Nov 2020
A Survey on Contrastive Self-supervised Learning
A Survey on Contrastive Self-supervised Learning
Ashish Jaiswal
Ashwin Ramesh Babu
Mohammad Zaki Zadeh
Debapriya Banerjee
F. Makedon
SSL
30
1,359
0
31 Oct 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
23
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
33
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
34
1,073
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
30
227
0
26 Oct 2020
Self-supervised Graph Learning for Recommendation
Self-supervised Graph Learning for Recommendation
Jiancan Wu
Xiang Wang
Fuli Feng
Xiangnan He
Liang Chen
Jianxun Lian
Xing Xie
SSL
16
1,119
0
21 Oct 2020
CLAR: Contrastive Learning of Auditory Representations
CLAR: Contrastive Learning of Auditory Representations
Haider Al-Tahan
Y. Mohsenzadeh
SSL
118
56
0
19 Oct 2020
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