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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 / 739 papers shown
Title
Look, Radiate, and Learn: Self-Supervised Localisation via Radio-Visual
  Correspondence
Look, Radiate, and Learn: Self-Supervised Localisation via Radio-Visual Correspondence
Mohammed Alloulah
Maximilian Arnold
SSL
27
2
0
13 Jun 2022
Contrastive Learning for Unsupervised Domain Adaptation of Time Series
Contrastive Learning for Unsupervised Domain Adaptation of Time Series
Yilmazcan Ozyurt
Stefan Feuerriegel
Ce Zhang
AI4TS
34
45
0
13 Jun 2022
Virtual embeddings and self-consistency for self-supervised learning
Virtual embeddings and self-consistency for self-supervised learning
T. Bdair
Hossam Abdelhamid
Nassir Navab
Shadi Albarqouni
SSL
16
0
0
13 Jun 2022
COSTA: Covariance-Preserving Feature Augmentation for Graph Contrastive
  Learning
COSTA: Covariance-Preserving Feature Augmentation for Graph Contrastive Learning
Yifei Zhang
Hao Zhu
Zixing Song
Piotr Koniusz
Iriwn King
36
90
0
09 Jun 2022
Towards Understanding Why Mask-Reconstruction Pretraining Helps in
  Downstream Tasks
Towards Understanding Why Mask-Reconstruction Pretraining Helps in Downstream Tasks
Jia-Yu Pan
Pan Zhou
Shuicheng Yan
SSL
26
15
0
08 Jun 2022
From $t$-SNE to UMAP with contrastive learning
From ttt-SNE to UMAP with contrastive learning
Sebastian Damrich
Jan Niklas Böhm
Fred Hamprecht
D. Kobak
SSL
42
19
0
03 Jun 2022
Integrating Prior Knowledge in Contrastive Learning with Kernel
Integrating Prior Knowledge in Contrastive Learning with Kernel
Benoit Dufumier
C. Barbano
Robin Louiset
Edouard Duchesnay
Pietro Gori
SSL
21
8
0
03 Jun 2022
MCD: Marginal Contrastive Discrimination for conditional density
  estimation
MCD: Marginal Contrastive Discrimination for conditional density estimation
Benjamin Riu
17
0
0
03 Jun 2022
Using Representation Expressiveness and Learnability to Evaluate
  Self-Supervised Learning Methods
Using Representation Expressiveness and Learnability to Evaluate Self-Supervised Learning Methods
Yuchen Lu
Zhen Liu
A. Baratin
Romain Laroche
Aaron C. Courville
Alessandro Sordoni
SSL
23
0
0
02 Jun 2022
Hyperspherical Consistency Regularization
Hyperspherical Consistency Regularization
Cheng Tan
Zhangyang Gao
Lirong Wu
Siyuan Li
Stan Z. Li
33
25
0
02 Jun 2022
Augmentation Component Analysis: Modeling Similarity via the
  Augmentation Overlaps
Augmentation Component Analysis: Modeling Similarity via the Augmentation Overlaps
Lu Han
Han-Jia Ye
De-Chuan Zhan
11
4
0
01 Jun 2022
Efficient Self-supervised Vision Pretraining with Local Masked Reconstruction
Efficient Self-supervised Vision Pretraining with Local Masked Reconstruction
Jun Chen
Ming Hu
Boyang Albert Li
Mohamed Elhoseiny
41
36
0
01 Jun 2022
Learning Instance-Specific Augmentations by Capturing Local Invariances
Learning Instance-Specific Augmentations by Capturing Local Invariances
Ning Miao
Tom Rainforth
Emile Mathieu
Yann Dubois
Yee Whye Teh
Adam Foster
Hyunjik Kim
37
10
0
31 May 2022
Self-Supervised Pre-training of Vision Transformers for Dense Prediction
  Tasks
Self-Supervised Pre-training of Vision Transformers for Dense Prediction Tasks
Jaonary Rabarisoa
Velentin Belissen
Florian Chabot
Q. C. Pham
VLM
ViT
SSL
MDE
20
2
0
30 May 2022
Your Contrastive Learning Is Secretly Doing Stochastic Neighbor
  Embedding
Your Contrastive Learning Is Secretly Doing Stochastic Neighbor Embedding
Tianyang Hu
Zhili Liu
Fengwei Zhou
Wenjia Wang
Weiran Huang
SSL
44
26
0
30 May 2022
FaIRCoP: Facial Image Retrieval using Contrastive Personalization
FaIRCoP: Facial Image Retrieval using Contrastive Personalization
Devansh Gupta
Aditya Saini
Drishti Bhasin
Sarthak Bhagat
Shagun Uppal
R. Jain
Ponnurangam Kumaraguru
R. Shah
6
1
0
28 May 2022
Learning Dialogue Representations from Consecutive Utterances
Learning Dialogue Representations from Consecutive Utterances
Zhihan Zhou
Dejiao Zhang
Wei Xiao
Nicholas Dingwall
Xiaofei Ma
Andrew O. Arnold
Bing Xiang
SSL
56
21
0
26 May 2022
New Intent Discovery with Pre-training and Contrastive Learning
New Intent Discovery with Pre-training and Contrastive Learning
Yuwei Zhang
Haode Zhang
Li-Ming Zhan
Albert Y.S. Lam
Albert Y. S. Lam
SSL
VLM
42
41
0
25 May 2022
SCVRL: Shuffled Contrastive Video Representation Learning
SCVRL: Shuffled Contrastive Video Representation Learning
Michael Dorkenwald
Fanyi Xiao
Biagio Brattoli
Joseph Tighe
Davide Modolo
SSL
48
16
0
24 May 2022
Decoder Denoising Pretraining for Semantic Segmentation
Decoder Denoising Pretraining for Semantic Segmentation
Emmanuel B. Asiedu
Simon Kornblith
Ting Chen
Niki Parmar
Matthias Minderer
Mohammad Norouzi
AI4CE
193
26
0
23 May 2022
Robust and Efficient Medical Imaging with Self-Supervision
Robust and Efficient Medical Imaging with Self-Supervision
Shekoofeh Azizi
Laura J. Culp
Jan Freyberg
Basil Mustafa
Sebastien Baur
...
Geoffrey E. Hinton
N. Houlsby
Alan Karthikesalingam
Mohammad Norouzi
Vivek Natarajan
OOD
71
58
0
19 May 2022
Deep Graph Clustering via Mutual Information Maximization and Mixture
  Model
Deep Graph Clustering via Mutual Information Maximization and Mixture Model
Maedeh Ahmadi
M. Safayani
Abdolreza Mirzaei
14
4
0
10 May 2022
MINI: Mining Implicit Novel Instances for Few-Shot Object Detection
MINI: Mining Implicit Novel Instances for Few-Shot Object Detection
Yuhang Cao
Jiaqi Wang
Yiqi Lin
Dahua Lin
ObjD
25
5
0
06 May 2022
Self-Taught Metric Learning without Labels
Self-Taught Metric Learning without Labels
Sungyeon Kim
Dongwon Kim
Minsu Cho
Suha Kwak
SSL
11
20
0
04 May 2022
On Negative Sampling for Audio-Visual Contrastive Learning from Movies
On Negative Sampling for Audio-Visual Contrastive Learning from Movies
Mahdi M. Kalayeh
Shervin Ardeshir
Lingyi Liu
Nagendra Kamath
Ashok Chandrashekar
SSL
29
3
0
29 Apr 2022
Trusted Multi-View Classification with Dynamic Evidential Fusion
Trusted Multi-View Classification with Dynamic Evidential Fusion
Zongbo Han
Changqing Zhang
Huazhu Fu
Qiufeng Wang
EDL
26
217
0
25 Apr 2022
Adversarial Contrastive Learning by Permuting Cluster Assignments
Adversarial Contrastive Learning by Permuting Cluster Assignments
Muntasir Wahed
Afrina Tabassum
Ismini Lourentzou
SSL
23
5
0
21 Apr 2022
Empirical Evaluation and Theoretical Analysis for Representation
  Learning: A Survey
Empirical Evaluation and Theoretical Analysis for Representation Learning: A Survey
Kento Nozawa
Issei Sato
AI4TS
19
4
0
18 Apr 2022
Self-Labeling Refinement for Robust Representation Learning with
  Bootstrap Your Own Latent
Self-Labeling Refinement for Robust Representation Learning with Bootstrap Your Own Latent
Siddhant Garg
Dhruval Jain
SSL
45
0
0
09 Apr 2022
Divergence-aware Federated Self-Supervised Learning
Divergence-aware Federated Self-Supervised Learning
Weiming Zhuang
Yonggang Wen
Shuai Zhang
FedML
22
97
0
09 Apr 2022
Leverage Your Local and Global Representations: A New Self-Supervised
  Learning Strategy
Leverage Your Local and Global Representations: A New Self-Supervised Learning Strategy
Tong Zhang
Congpei Qiu
Wei Ke
Sabine Süsstrunk
Mathieu Salzmann
SSL
19
36
0
31 Mar 2022
Dual Temperature Helps Contrastive Learning Without Many Negative
  Samples: Towards Understanding and Simplifying MoCo
Dual Temperature Helps Contrastive Learning Without Many Negative Samples: Towards Understanding and Simplifying MoCo
Chaoning Zhang
Kang Zhang
T. Pham
Axi Niu
Zhinan Qiao
Chang D. Yoo
In So Kweon
24
54
0
30 Mar 2022
How Does SimSiam Avoid Collapse Without Negative Samples? A Unified
  Understanding with Self-supervised Contrastive Learning
How Does SimSiam Avoid Collapse Without Negative Samples? A Unified Understanding with Self-supervised Contrastive Learning
Chaoning Zhang
Kang Zhang
Chenshuang Zhang
T. Pham
Chang D. Yoo
In So Kweon
SSL
29
71
0
30 Mar 2022
Supervised Graph Contrastive Learning for Few-shot Node Classification
Supervised Graph Contrastive Learning for Few-shot Node Classification
Zhen Tan
Kaize Ding
Ruocheng Guo
Huan Liu
OffRL
28
11
0
29 Mar 2022
Contrasting the landscape of contrastive and non-contrastive learning
Contrasting the landscape of contrastive and non-contrastive learning
Ashwini Pokle
Jinjin Tian
Yuchen Li
Andrej Risteski
SSL
30
28
0
29 Mar 2022
UnShadowNet: Illumination Critic Guided Contrastive Learning For Shadow
  Removal
UnShadowNet: Illumination Critic Guided Contrastive Learning For Shadow Removal
Subhrajyoti Dasgupta
Arindam Das
S. Yogamani
Sudip Das
Ciarán Eising
Andrei Bursuc
Ujjwal Bhattacharya
42
6
0
29 Mar 2022
Mugs: A Multi-Granular Self-Supervised Learning Framework
Mugs: A Multi-Granular Self-Supervised Learning Framework
Pan Zhou
Yichen Zhou
Chenyang Si
Weihao Yu
Teck Khim Ng
Shuicheng Yan
VLM
34
60
0
27 Mar 2022
Beyond Masking: Demystifying Token-Based Pre-Training for Vision
  Transformers
Beyond Masking: Demystifying Token-Based Pre-Training for Vision Transformers
Yunjie Tian
Lingxi Xie
Jiemin Fang
Mengnan Shi
Junran Peng
Xiaopeng Zhang
Jianbin Jiao
Qi Tian
QiXiang Ye
33
19
0
27 Mar 2022
Multi-scale and Cross-scale Contrastive Learning for Semantic
  Segmentation
Multi-scale and Cross-scale Contrastive Learning for Semantic Segmentation
Theodoros Pissas
Claudio S. Ravasio
L. Cruz
Christos Bergeles
25
15
0
25 Mar 2022
Negative Selection by Clustering for Contrastive Learning in Human
  Activity Recognition
Negative Selection by Clustering for Contrastive Learning in Human Activity Recognition
Jinqiang Wang
Tao Zhu
L. Chen
Huansheng Ning
Yaping Wan
SSL
HAI
23
30
0
23 Mar 2022
CP2: Copy-Paste Contrastive Pretraining for Semantic Segmentation
CP2: Copy-Paste Contrastive Pretraining for Semantic Segmentation
Feng Wang
Huiyu Wang
Chen Wei
Alan Yuille
Wei Shen
SSL
VLM
25
35
0
22 Mar 2022
Temporal Abstractions-Augmented Temporally Contrastive Learning: An
  Alternative to the Laplacian in RL
Temporal Abstractions-Augmented Temporally Contrastive Learning: An Alternative to the Laplacian in RL
Akram Erraqabi
Marlos C. Machado
Mingde Zhao
Sainbayar Sukhbaatar
A. Lazaric
Ludovic Denoyer
Yoshua Bengio
OffRL
28
9
0
21 Mar 2022
Dense Siamese Network for Dense Unsupervised Learning
Dense Siamese Network for Dense Unsupervised Learning
Wenwei Zhang
Jiangmiao Pang
Kai-xiang Chen
Chen Change Loy
33
12
0
21 Mar 2022
Partitioning Image Representation in Contrastive Learning
Partitioning Image Representation in Contrastive Learning
Hyunsub Lee
Heeyoul Choi
SSL
DRL
17
1
0
20 Mar 2022
Contrastive Learning with Positive-Negative Frame Mask for Music
  Representation
Contrastive Learning with Positive-Negative Frame Mask for Music Representation
D. Yao
Zhou Zhao
Shengyu Zhang
Jieming Zhu
Yudong Zhu
Rui Zhang
Xiuqiang He
25
21
0
17 Mar 2022
Object discovery and representation networks
Object discovery and representation networks
Olivier J. Hénaff
Skanda Koppula
Evan Shelhamer
Daniel Zoran
Andrew Jaegle
Andrew Zisserman
João Carreira
Relja Arandjelović
44
87
0
16 Mar 2022
Is it all a cluster game? -- Exploring Out-of-Distribution Detection
  based on Clustering in the Embedding Space
Is it all a cluster game? -- Exploring Out-of-Distribution Detection based on Clustering in the Embedding Space
Poulami Sinhamahapatra
Rajat Koner
Karsten Roscher
Stephan Günnemann
OODD
11
5
0
16 Mar 2022
InsCon:Instance Consistency Feature Representation via Self-Supervised
  Learning
InsCon:Instance Consistency Feature Representation via Self-Supervised Learning
Jun-Teng Yang
Ke Zhang
Zhaolin Cui
Jinming Su
Junfeng Luo
Xiaolin K. Wei
ISeg
SSL
17
9
0
15 Mar 2022
Rethinking Minimal Sufficient Representation in Contrastive Learning
Rethinking Minimal Sufficient Representation in Contrastive Learning
Haoqing Wang
Xun Guo
Zhiwei Deng
Yan Lu
SSL
19
73
0
14 Mar 2022
RecursiveMix: Mixed Learning with History
RecursiveMix: Mixed Learning with History
Lingfeng Yang
Xiang Li
Borui Zhao
Renjie Song
Jian Yang
VLM
29
18
0
14 Mar 2022
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