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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
Mutual Information-guided Knowledge Transfer for Novel Class Discovery
Chuyu Zhang
Chuanyan Hu
Ruijie Xu
Zhitong Gao
Qian He
Xuming He
22
4
0
24 Jun 2022
DU-Net based Unsupervised Contrastive Learning for Cancer Segmentation
  in Histology Images
DU-Net based Unsupervised Contrastive Learning for Cancer Segmentation in Histology Images
Yilong Li
Yaqi Wang
Huiyu Zhou
Huaqiong Wang
Gangyong Jia
Qianni Zhang
SSL
MedIm
19
1
0
17 Jun 2022
Beyond Supervised vs. Unsupervised: Representative Benchmarking and
  Analysis of Image Representation Learning
Beyond Supervised vs. Unsupervised: Representative Benchmarking and Analysis of Image Representation Learning
M. Gwilliam
Abhinav Shrivastava
SSL
85
19
1
16 Jun 2022
Discrete Contrastive Diffusion for Cross-Modal Music and Image
  Generation
Discrete Contrastive Diffusion for Cross-Modal Music and Image Generation
Ye Zhu
Yuehua Wu
Kyle Olszewski
Jian Ren
Sergey Tulyakov
Yan Yan
DiffM
33
47
0
15 Jun 2022
Learn to Adapt: Robust Drift Detection in Security Domain
Learn to Adapt: Robust Drift Detection in Security Domain
Aditya Kuppa
Nhien-An Le-Khac
OOD
33
15
0
15 Jun 2022
A Comprehensive Survey on Deep Clustering: Taxonomy, Challenges, and
  Future Directions
A Comprehensive Survey on Deep Clustering: Taxonomy, Challenges, and Future Directions
Sheng Zhou
Hongjia Xu
Zhuonan Zheng
Jiawei Chen
Zhao Li
Jiajun Bu
Jia Wu
Xin Eric Wang
Wenwu Zhu
Martin Ester
23
94
0
15 Jun 2022
A Survey of Automated Data Augmentation Algorithms for Deep
  Learning-based Image Classification Tasks
A Survey of Automated Data Augmentation Algorithms for Deep Learning-based Image Classification Tasks
Z. Yang
Richard Sinnott
James Bailey
Qiuhong Ke
31
39
0
14 Jun 2022
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
37
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
41
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
24
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
49
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 Pan
Pan Zhou
Shuicheng Yan
SSL
26
16
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
50
21
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
27
8
0
03 Jun 2022
MCD: Marginal Contrastive Discrimination for conditional density
  estimation
MCD: Marginal Contrastive Discrimination for conditional density estimation
Benjamin Riu
27
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
Rameswar Panda
Alessandro Sordoni
SSL
38
0
0
02 Jun 2022
Hyperspherical Consistency Regularization
Hyperspherical Consistency Regularization
Cheng Tan
Zhangyang Gao
Lirong Wu
Siyuan Li
Stan Z. Li
41
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
16
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
55
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
43
11
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
26
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
Wei Cao
Weiran Huang
SSL
52
27
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
21
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
67
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
49
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
61
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
199
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
19
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
27
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
27
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
35
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
37
222
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
32
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
36
98
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
24
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
29
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
34
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
37
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
38
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
54
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
39
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
38
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
27
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
30
31
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
41
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
49
13
0
21 Mar 2022
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