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Learning Representations by Maximizing Mutual Information Across Views

Learning Representations by Maximizing Mutual Information Across Views

3 June 2019
Philip Bachman
R. Devon Hjelm
William Buchwalter
    SSL
ArXivPDFHTML

Papers citing "Learning Representations by Maximizing Mutual Information Across Views"

50 / 877 papers shown
Title
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
SelfMatch: Combining Contrastive Self-Supervision and Consistency for
  Semi-Supervised Learning
SelfMatch: Combining Contrastive Self-Supervision and Consistency for Semi-Supervised Learning
Byoungjip Kim
Jinho Choo
Yeong-Dae Kwon
Seongho Joe
Seungjai Min
Youngjune Gwon
SSL
33
52
0
16 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
56
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
48
506
0
13 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
2,434
0
04 Jan 2021
Self-Supervised Multimodal Domino: in Search of Biomarkers for
  Alzheimer's Disease
Self-Supervised Multimodal Domino: in Search of Biomarkers for Alzheimer's Disease
A. Fedorov
Tristan Sylvain
Eloy P. T. Geenjaar
Margaux Luck
Lei Wu
T. DeRamus
Alex Kirilin
Dmitry Bleklov
Vince D. Calhoun
Sergey Plis
SSL
23
13
0
25 Dec 2020
On self-supervised multi-modal representation learning: An application
  to Alzheimer's disease
On self-supervised multi-modal representation learning: An application to Alzheimer's disease
A. Fedorov
Lei Wu
Tristan Sylvain
Margaux Luck
T. DeRamus
Dmitry Bleklov
Sergey Plis
Vince D. Calhoun
SSL
14
16
0
25 Dec 2020
Self-supervised Pre-training with Hard Examples Improves Visual
  Representations
Self-supervised Pre-training with Hard Examples Improves Visual Representations
Chunyuan Li
Xiujun Li
Lei Zhang
Baolin Peng
Mingyuan Zhou
Jianfeng Gao
SSL
25
24
0
25 Dec 2020
Evolution Is All You Need: Phylogenetic Augmentation for Contrastive
  Learning
Evolution Is All You Need: Phylogenetic Augmentation for Contrastive Learning
Amy X. Lu
Alex X. Lu
Alan M. Moses
SSL
36
13
0
25 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
39
58
0
24 Dec 2020
Motif-Driven Contrastive Learning of Graph Representations
Motif-Driven Contrastive Learning of Graph Representations
Shichang Zhang
Ziniu Hu
Arjun Subramonian
Yizhou Sun
SSL
30
8
0
23 Dec 2020
Sequence-to-Sequence Contrastive Learning for Text Recognition
Sequence-to-Sequence Contrastive Learning for Text Recognition
Aviad Aberdam
Ron Litman
Shahar Tsiper
Oron Anschel
Ron Slossberg
Shai Mazor
R. Manmatha
Pietro Perona
39
103
0
20 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
35
15
0
17 Dec 2020
Unsupervised Learning of Local Discriminative Representation for Medical
  Images
Unsupervised Learning of Local Discriminative Representation for Medical Images
Huai Chen
Jieyu Li
Renzhen Wang
Yijie Huang
Fanrui Meng
Deyu Meng
Qing Peng
Lisheng Wang
SSL
17
8
0
17 Dec 2020
ISD: Self-Supervised Learning by Iterative Similarity Distillation
ISD: Self-Supervised Learning by Iterative Similarity Distillation
Ajinkya Tejankar
Soroush Abbasi Koohpayegani
Vipin Pillai
Paolo Favaro
Hamed Pirsiavash
SSL
27
44
0
16 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
Wasserstein Contrastive Representation Distillation
Wasserstein Contrastive Representation Distillation
Liqun Chen
Dong Wang
Zhe Gan
Jingjing Liu
Ricardo Henao
Lawrence Carin
23
93
0
15 Dec 2020
Understanding the Behaviour of Contrastive Loss
Understanding the Behaviour of Contrastive Loss
Feng Wang
Huaping Liu
SSL
61
670
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
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
123
0
12 Dec 2020
Exploring wav2vec 2.0 on speaker verification and language
  identification
Exploring wav2vec 2.0 on speaker verification and language identification
Zhiyun Fan
Meng Li
Shiyu Zhou
Bo Xu
117
202
0
11 Dec 2020
Concept Generalization in Visual Representation Learning
Concept Generalization in Visual Representation Learning
Mert Bulent Sariyildiz
Yannis Kalantidis
Diane Larlus
Alahari Karteek
SSL
35
50
0
10 Dec 2020
Deep Unsupervised Image Anomaly Detection: An Information Theoretic
  Framework
Deep Unsupervised Image Anomaly Detection: An Information Theoretic Framework
Fei Ye
Huangjie Zheng
Chaoqin Huang
Ya Zhang
19
13
0
09 Dec 2020
Accurate 3D Object Detection using Energy-Based Models
Accurate 3D Object Detection using Energy-Based Models
Fredrik K. Gustafsson
Martin Danelljan
Thomas B. Schon
3DPC
38
10
0
08 Dec 2020
Multi-Label Contrastive Learning for Abstract Visual Reasoning
Multi-Label Contrastive Learning for Abstract Visual Reasoning
Mikolaj Malkiñski
Jacek Mańdziuk
8
40
0
03 Dec 2020
Mutual Information Maximization on Disentangled Representations for
  Differential Morph Detection
Mutual Information Maximization on Disentangled Representations for Differential Morph Detection
Sobhan Soleymani
Ali Dabouei
Fariborz Taherkhani
J. Dawson
Nasser M. Nasrabadi
35
27
0
02 Dec 2020
Learning View-Disentangled Human Pose Representation by Contrastive
  Cross-View Mutual Information Maximization
Learning View-Disentangled Human Pose Representation by Contrastive Cross-View Mutual Information Maximization
Long Zhao
Yuxiao Wang
Jiaping Zhao
Liangzhe Yuan
Jennifer J. Sun
Florian Schroff
Hartwig Adam
Xi Peng
Dimitris N. Metaxas
Ting Liu
SSL
25
30
0
02 Dec 2020
Towards Good Practices in Self-supervised Representation Learning
Towards Good Practices in Self-supervised Representation Learning
Srikar Appalaraju
Yi Zhu
Yusheng Xie
István Fehérvári
SSL
20
21
0
01 Dec 2020
Multi-level Knowledge Distillation via Knowledge Alignment and
  Correlation
Multi-level Knowledge Distillation via Knowledge Alignment and Correlation
Fei Ding
Yin Yang
Hongxin Hu
Venkat Krovi
Feng Luo
22
4
0
01 Dec 2020
Revisiting Unsupervised Meta-Learning via the Characteristics of
  Few-Shot Tasks
Revisiting Unsupervised Meta-Learning via the Characteristics of Few-Shot Tasks
Han-Jia Ye
Lu Han
De-Chuan Zhan
OffRL
SSL
VLM
27
27
0
30 Nov 2020
Self supervised contrastive learning for digital histopathology
Self supervised contrastive learning for digital histopathology
Ozan Ciga
Tony Xu
Anne L. Martel
SSL
114
307
0
27 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
21
47
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
52
3,969
0
20 Nov 2020
Propagate Yourself: Exploring Pixel-Level Consistency for Unsupervised
  Visual Representation Learning
Propagate Yourself: Exploring Pixel-Level Consistency for Unsupervised Visual Representation Learning
Zhenda Xie
Yutong Lin
Zheng-Wei Zhang
Yue Cao
Stephen Lin
Han Hu
SSL
42
409
0
19 Nov 2020
AdCo: Adversarial Contrast for Efficient Learning of Unsupervised
  Representations from Self-Trained Negative Adversaries
AdCo: Adversarial Contrast for Efficient Learning of Unsupervised Representations from Self-Trained Negative Adversaries
Q. Hu
Tianlin Li
Wei Hu
Guo-Jun Qi
SSL
17
151
0
17 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
Unsupervised Learning of Dense Visual Representations
Unsupervised Learning of Dense Visual Representations
Pedro H. O. Pinheiro
Amjad Almahairi
Ryan Y. Benmalek
Florian Golemo
Aaron Courville
SSL
MDE
29
188
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
116
0
09 Nov 2020
Intriguing Properties of Contrastive Losses
Intriguing Properties of Contrastive Losses
Ting Chen
Calvin Luo
Lala Li
36
174
0
05 Nov 2020
Learning and Evaluating Representations for Deep One-class
  Classification
Learning and Evaluating Representations for Deep One-class Classification
Kihyuk Sohn
Chun-Liang Li
Jinsung Yoon
Minho Jin
Tomas Pfister
SSL
14
199
0
04 Nov 2020
Semi-supervised Facial Action Unit Intensity Estimation with Contrastive
  Learning
Semi-supervised Facial Action Unit Intensity Estimation with Contrastive Learning
Enrique Sanchez
Adrian Bulat
Anestis Zaganidis
Georgios Tzimiropoulos
CVBM
22
3
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
499
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
54
1,361
0
31 Oct 2020
The Mathematical Foundations of Manifold Learning
The Mathematical Foundations of Manifold Learning
Luke Melas-Kyriazi
AI4CE
20
17
0
30 Oct 2020
Free-Form Image Inpainting via Contrastive Attention Network
Free-Form Image Inpainting via Contrastive Attention Network
Xin Ma
Xiaoqiang Zhou
Huaibo Huang
Z. Chai
Xiaolin K. Wei
Ran He
18
7
0
29 Oct 2020
Stabilizing Label Assignment for Speech Separation by Self-supervised
  Pre-training
Stabilizing Label Assignment for Speech Separation by Self-supervised Pre-training
Sung-Feng Huang
Shun-Po Chuang
Da-Rong Liu
Yi-Chen Chen
Gene-Ping Yang
Hung-yi Lee
SSL
41
14
0
29 Oct 2020
Image Representations Learned With Unsupervised Pre-Training Contain
  Human-like Biases
Image Representations Learned With Unsupervised Pre-Training Contain Human-like Biases
Ryan Steed
Aylin Caliskan
SSL
32
156
0
28 Oct 2020
CompRess: Self-Supervised Learning by Compressing Representations
CompRess: Self-Supervised Learning by Compressing Representations
Soroush Abbasi Koohpayegani
Ajinkya Tejankar
Hamed Pirsiavash
SSL
23
89
0
28 Oct 2020
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