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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 / 730 papers shown
Title
Unleash Model Potential: Bootstrapped Meta Self-supervised Learning
Unleash Model Potential: Bootstrapped Meta Self-supervised Learning
Jingyao Wang
Zeen Song
Wenwen Qiang
Changwen Zheng
SSL
17
1
0
28 Aug 2023
Towards Fast and Accurate Image-Text Retrieval with Self-Supervised
  Fine-Grained Alignment
Towards Fast and Accurate Image-Text Retrieval with Self-Supervised Fine-Grained Alignment
Jiamin Zhuang
Jing Yu
Yang Ding
Xiangyang Qu
Yue Hu
19
9
0
27 Aug 2023
Semi-Supervised Learning via Weight-aware Distillation under Class
  Distribution Mismatch
Semi-Supervised Learning via Weight-aware Distillation under Class Distribution Mismatch
Pan Du
Suyun Zhao
Zisen Sheng
Cuiping Li
Hong Chen
22
5
0
23 Aug 2023
MetaGCD: Learning to Continually Learn in Generalized Category Discovery
MetaGCD: Learning to Continually Learn in Generalized Category Discovery
Yanan Wu
Zhixiang Chi
Yang Wang
Songhe Feng
BDL
CLL
13
26
0
21 Aug 2023
Information Theory-Guided Heuristic Progressive Multi-View Coding
Information Theory-Guided Heuristic Progressive Multi-View Coding
Jiangmeng Li
Hang Gao
Wenwen Qiang
Changwen Zheng
22
2
0
21 Aug 2023
Semantics Meets Temporal Correspondence: Self-supervised Object-centric
  Learning in Videos
Semantics Meets Temporal Correspondence: Self-supervised Object-centric Learning in Videos
Rui Qian
Shuangrui Ding
Xian Liu
Dahua Lin
23
14
0
19 Aug 2023
MoCLIM: Towards Accurate Cancer Subtyping via Multi-Omics Contrastive
  Learning with Omics-Inference Modeling
MoCLIM: Towards Accurate Cancer Subtyping via Multi-Omics Contrastive Learning with Omics-Inference Modeling
Ziwei Yang
Zhengjun Chen
Yasuko Matsubara
Yasushi Sakurai
13
2
0
17 Aug 2023
Stable and Causal Inference for Discriminative Self-supervised Deep
  Visual Representations
Stable and Causal Inference for Discriminative Self-supervised Deep Visual Representations
Yuewei Yang
Hai Helen Li
Yiran Chen
CML
OOD
22
1
0
16 Aug 2023
AutoLTS: Automating Cycling Stress Assessment via Contrastive Learning
  and Spatial Post-processing
AutoLTS: Automating Cycling Stress Assessment via Contrastive Learning and Spatial Post-processing
Bo Lin
Shoshanna Saxe
Timothy C. Y. Chan
HAI
41
0
0
15 Aug 2023
Free-ATM: Exploring Unsupervised Learning on Diffusion-Generated Images
  with Free Attention Masks
Free-ATM: Exploring Unsupervised Learning on Diffusion-Generated Images with Free Attention Masks
David Junhao Zhang
Mutian Xu
Chuhui Xue
Wenqing Zhang
Xiaoguang Han
Song Bai
Mike Zheng Shou
DiffM
48
6
0
13 Aug 2023
Class Incremental Learning with Self-Supervised Pre-Training and
  Prototype Learning
Class Incremental Learning with Self-Supervised Pre-Training and Prototype Learning
Wenzhuo Liu
Xinjian Wu
Fei Zhu
Mingming Yu
Chuan Wang
Cheng-Lin Liu
SSL
CLL
39
11
0
04 Aug 2023
Image Synthesis under Limited Data: A Survey and Taxonomy
Image Synthesis under Limited Data: A Survey and Taxonomy
Mengping Yang
Zhe Wang
28
8
0
31 Jul 2023
Hallucination Improves the Performance of Unsupervised Visual
  Representation Learning
Hallucination Improves the Performance of Unsupervised Visual Representation Learning
Jing Wu
Jennifer Hobbs
N. Hovakimyan
SSL
24
21
0
22 Jul 2023
The Role of Entropy and Reconstruction in Multi-View Self-Supervised
  Learning
The Role of Entropy and Reconstruction in Multi-View Self-Supervised Learning
Borja Rodríguez Gálvez
Arno Blaas
P. Rodríguez
Adam Goliñski
Xavier Suau
Jason Ramapuram
Dan Busbridge
Luca Zappella
27
6
0
20 Jul 2023
A Holistic Assessment of the Reliability of Machine Learning Systems
A Holistic Assessment of the Reliability of Machine Learning Systems
Anthony Corso
David Karamadian
Romeo Valentin
Mary Cooper
Mykel J. Kochenderfer
28
6
0
20 Jul 2023
MOCA: Self-supervised Representation Learning by Predicting Masked
  Online Codebook Assignments
MOCA: Self-supervised Representation Learning by Predicting Masked Online Codebook Assignments
Spyros Gidaris
Andrei Bursuc
Oriane Siméoni
Antonín Vobecký
N. Komodakis
Matthieu Cord
Patrick Pérez
SSL
ViT
18
3
0
18 Jul 2023
Mini-Batch Optimization of Contrastive Loss
Mini-Batch Optimization of Contrastive Loss
Jaewoong Cho
Kartik K. Sreenivasan
Keon Lee
Kyunghoo Mun
Soheun Yi
Jeong-Gwan Lee
Anna Lee
Jy-yong Sohn
Dimitris Papailiopoulos
Kangwook Lee
SSL
35
7
0
12 Jul 2023
Learning Multi-Agent Communication with Contrastive Learning
Learning Multi-Agent Communication with Contrastive Learning
Y. Lo
B. Sengupta
Jakob N. Foerster
Michael Noukhovitch
38
5
0
03 Jul 2023
More Synergy, Less Redundancy: Exploiting Joint Mutual Information for
  Self-Supervised Learning
More Synergy, Less Redundancy: Exploiting Joint Mutual Information for Self-Supervised Learning
S. Mohamadi
Gianfranco Doretto
Don Adjeroh
SSL
8
9
0
02 Jul 2023
DUET: 2D Structured and Approximately Equivariant Representations
DUET: 2D Structured and Approximately Equivariant Representations
Xavier Suau
Federico Danieli
Thomas Anderson Keller
Arno Blaas
Chen Huang
Jason Ramapuram
Dan Busbridge
Luca Zappella
25
3
0
28 Jun 2023
Contrastive Meta-Learning for Few-shot Node Classification
Contrastive Meta-Learning for Few-shot Node Classification
Song Wang
Zhen Tan
Huan Liu
Jundong Li
26
15
0
27 Jun 2023
Graph Self-Supervised Learning for Endoscopic Image Matching
Graph Self-Supervised Learning for Endoscopic Image Matching
Manel Farhat
A. Ben-Hamadou
SSL
21
1
0
19 Jun 2023
HomoGCL: Rethinking Homophily in Graph Contrastive Learning
HomoGCL: Rethinking Homophily in Graph Contrastive Learning
Wenzhong Li
Changdong Wang
Hui Xiong
Jian-Huang Lai
24
22
0
16 Jun 2023
Semi-supervised learning made simple with self-supervised clustering
Semi-supervised learning made simple with self-supervised clustering
Enrico Fini
Pietro Astolfi
Alahari Karteek
Xavier Alameda-Pineda
Julien Mairal
Moin Nabi
Elisa Ricci
SSL
39
24
0
13 Jun 2023
Factorized Contrastive Learning: Going Beyond Multi-view Redundancy
Factorized Contrastive Learning: Going Beyond Multi-view Redundancy
Paul Pu Liang
Zihao Deng
Martin Q. Ma
James Y. Zou
Louis-Philippe Morency
Ruslan Salakhutdinov
SSL
26
49
0
08 Jun 2023
Object Detection with Transformers: A Review
Object Detection with Transformers: A Review
Tahira Shehzadi
K. Hashmi
D. Stricker
Muhammad Zeshan Afzal
ViT
MU
18
28
0
07 Jun 2023
HomE: Homography-Equivariant Video Representation Learning
HomE: Homography-Equivariant Video Representation Learning
Anirudh Sriram
Adrien Gaidon
Jiajun Wu
Juan Carlos Niebles
L. Fei-Fei
Ehsan Adeli
SSL
AI4TS
18
2
0
02 Jun 2023
Supervised Adversarial Contrastive Learning for Emotion Recognition in
  Conversations
Supervised Adversarial Contrastive Learning for Emotion Recognition in Conversations
Dou Hu
Yinan Bao
Lingwei Wei
Wei Zhou
Song Hu
26
51
0
02 Jun 2023
Point-GCC: Universal Self-supervised 3D Scene Pre-training via
  Geometry-Color Contrast
Point-GCC: Universal Self-supervised 3D Scene Pre-training via Geometry-Color Contrast
Guo Fan
Zekun Qi
Wenkai Shi
Kaisheng Ma
3DPC
SSL
23
9
0
31 May 2023
Matrix Information Theory for Self-Supervised Learning
Matrix Information Theory for Self-Supervised Learning
Yifan Zhang
Zhi-Hao Tan
Jingqin Yang
Weiran Huang
Yang Yuan
SSL
45
16
0
27 May 2023
Modulate Your Spectrum in Self-Supervised Learning
Modulate Your Spectrum in Self-Supervised Learning
Xi Weng
Yu-Li Ni
Tengwei Song
Jie Luo
Rao Muhammad Anwer
Salman Khan
F. Khan
Lei Huang
32
5
0
26 May 2023
Detecting Heart Disease from Multi-View Ultrasound Images via Supervised
  Attention Multiple Instance Learning
Detecting Heart Disease from Multi-View Ultrasound Images via Supervised Attention Multiple Instance Learning
Zhe Huang
B. Wessler
M. C. Hughes
22
3
0
25 May 2023
Sample and Predict Your Latent: Modality-free Sequential Disentanglement
  via Contrastive Estimation
Sample and Predict Your Latent: Modality-free Sequential Disentanglement via Contrastive Estimation
Ilana D Naiman
Nimrod Berman
Omri Azencot
DRL
26
6
0
25 May 2023
Reverse Engineering Self-Supervised Learning
Reverse Engineering Self-Supervised Learning
Ido Ben-Shaul
Ravid Shwartz-Ziv
Tomer Galanti
S. Dekel
Yann LeCun
SSL
23
34
0
24 May 2023
Difference-Masking: Choosing What to Mask in Continued Pretraining
Difference-Masking: Choosing What to Mask in Continued Pretraining
Alex Wilf
Syeda Nahida Akter
Leena Mathur
Paul Pu Liang
Sheryl Mathew
Mengrou Shou
Eric Nyberg
Louis-Philippe Morency
CLL
SSL
24
4
0
23 May 2023
Temporally Causal Discovery Tests for Discrete Time Series and Neural
  Spike Trains
Temporally Causal Discovery Tests for Discrete Time Series and Neural Spike Trains
A. Theocharous
G. Gregoriou
P. Sapountzis
Ioannis Kontoyiannis
CML
21
2
0
23 May 2023
Reviewing Evolution of Learning Functions and Semantic Information
  Measures for Understanding Deep Learning
Reviewing Evolution of Learning Functions and Semantic Information Measures for Understanding Deep Learning
Chenguang Lu
AAML
13
6
0
23 May 2023
Know Your Self-supervised Learning: A Survey on Image-based Generative
  and Discriminative Training
Know Your Self-supervised Learning: A Survey on Image-based Generative and Discriminative Training
Utku Ozbulak
Hyun Jung Lee
Beril Boga
Esla Timothy Anzaku
Ho-min Park
Arnout Van Messem
W. D. Neve
J. Vankerschaver
DiffM
26
36
0
23 May 2023
EnSiam: Self-Supervised Learning With Ensemble Representations
EnSiam: Self-Supervised Learning With Ensemble Representations
Kai Han
Minsik Lee
SSL
24
0
0
22 May 2023
Task Arithmetic in the Tangent Space: Improved Editing of Pre-Trained
  Models
Task Arithmetic in the Tangent Space: Improved Editing of Pre-Trained Models
Guillermo Ortiz-Jiménez
Alessandro Favero
P. Frossard
MoMe
42
106
0
22 May 2023
HMSN: Hyperbolic Self-Supervised Learning by Clustering with Ideal
  Prototypes
HMSN: Hyperbolic Self-Supervised Learning by Clustering with Ideal Prototypes
A. Durrant
Georgios Leontidis
SSL
25
4
0
18 May 2023
Tuned Contrastive Learning
Tuned Contrastive Learning
Chaitanya Animesh
Manmohan Chandraker
SSL
13
0
0
18 May 2023
How does Contrastive Learning Organize Images?
How does Contrastive Learning Organize Images?
Yunzhe Zhang
Yao Lu
Qi Xuan
SSL
26
0
0
17 May 2023
Colonoscopy Coverage Revisited: Identifying Scanning Gaps in Real-Time
Colonoscopy Coverage Revisited: Identifying Scanning Gaps in Real-Time
G. Leifman
I. Kligvasser
Roman Goldenberg
Michael Elad
Ehud Rivlin
13
0
0
17 May 2023
Self-Supervised Video Representation Learning via Latent Time Navigation
Self-Supervised Video Representation Learning via Latent Time Navigation
Di Yang
Yaohui Wang
Quan Kong
A. Dantcheva
Lorenzo Garattoni
Gianpiero Francesca
F. Brémond
SSL
AI4TS
46
10
0
10 May 2023
Few-shot Action Recognition via Intra- and Inter-Video Information
  Maximization
Few-shot Action Recognition via Intra- and Inter-Video Information Maximization
Huabin Liu
W. Lin
Tieyuan Chen
Yuxi Li
Shuyuan Li
John See
31
5
0
10 May 2023
Out-of-Domain Intent Detection Considering Multi-Turn Dialogue Contexts
Out-of-Domain Intent Detection Considering Multi-Turn Dialogue Contexts
Hao Lang
Yinhe Zheng
Binyuan Hui
Fei Huang
Yongbin Li
19
4
0
05 May 2023
A Simplified Framework for Contrastive Learning for Node Representations
A Simplified Framework for Contrastive Learning for Node Representations
Ilgee Hong
Huy Tran
Claire Donnat
SSL
19
1
0
01 May 2023
Leveraging Unlabelled Data in Multiple-Instance Learning Problems for
  Improved Detection of Parkinsonian Tremor in Free-Living Conditions
Leveraging Unlabelled Data in Multiple-Instance Learning Problems for Improved Detection of Parkinsonian Tremor in Free-Living Conditions
Alexandros Papadopoulos
A. Delopoulos
17
2
0
29 Apr 2023
Unsupervised Synthetic Image Refinement via Contrastive Learning and
  Consistent Semantic-Structural Constraints
Unsupervised Synthetic Image Refinement via Contrastive Learning and Consistent Semantic-Structural Constraints
Ganning Zhao
Ting-Li Shen
Suya You
C.-C. Jay Kuo
32
5
0
25 Apr 2023
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