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1906.00910
Cited By
Learning Representations by Maximizing Mutual Information Across Views
3 June 2019
Philip Bachman
R. Devon Hjelm
William Buchwalter
SSL
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Papers citing
"Learning Representations by Maximizing Mutual Information Across Views"
50 / 730 papers shown
Title
Unleash Model Potential: Bootstrapped Meta Self-supervised Learning
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Towards Fast and Accurate Image-Text Retrieval with Self-Supervised Fine-Grained Alignment
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Jing Yu
Yang Ding
Xiangyang Qu
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Semi-Supervised Learning via Weight-aware Distillation under Class Distribution Mismatch
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Suyun Zhao
Zisen Sheng
Cuiping Li
Hong Chen
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MetaGCD: Learning to Continually Learn in Generalized Category Discovery
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Zhixiang Chi
Yang Wang
Songhe Feng
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13
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Information Theory-Guided Heuristic Progressive Multi-View Coding
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Hang Gao
Wenwen Qiang
Changwen Zheng
22
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Semantics Meets Temporal Correspondence: Self-supervised Object-centric Learning in Videos
Rui Qian
Shuangrui Ding
Xian Liu
Dahua Lin
23
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19 Aug 2023
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
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Stable and Causal Inference for Discriminative Self-supervised Deep Visual Representations
Yuewei Yang
Hai Helen Li
Yiran Chen
CML
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22
1
0
16 Aug 2023
AutoLTS: Automating Cycling Stress Assessment via Contrastive Learning and Spatial Post-processing
Bo Lin
Shoshanna Saxe
Timothy C. Y. Chan
HAI
41
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Free-ATM: Exploring Unsupervised Learning on Diffusion-Generated Images with Free Attention Masks
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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
Wenzhuo Liu
Xinjian Wu
Fei Zhu
Mingming Yu
Chuan Wang
Cheng-Lin Liu
SSL
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39
11
0
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Image Synthesis under Limited Data: A Survey and Taxonomy
Mengping Yang
Zhe Wang
28
8
0
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Hallucination Improves the Performance of Unsupervised Visual Representation Learning
Jing Wu
Jennifer Hobbs
N. Hovakimyan
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24
21
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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
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David Karamadian
Romeo Valentin
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Mykel J. Kochenderfer
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Andrei Bursuc
Oriane Siméoni
Antonín Vobecký
N. Komodakis
Matthieu Cord
Patrick Pérez
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Mini-Batch Optimization of Contrastive Loss
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Kartik K. Sreenivasan
Keon Lee
Kyunghoo Mun
Soheun Yi
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Anna Lee
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Dimitris Papailiopoulos
Kangwook Lee
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35
7
0
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Y. Lo
B. Sengupta
Jakob N. Foerster
Michael Noukhovitch
38
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More Synergy, Less Redundancy: Exploiting Joint Mutual Information for Self-Supervised Learning
S. Mohamadi
Gianfranco Doretto
Don Adjeroh
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8
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DUET: 2D Structured and Approximately Equivariant Representations
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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
Song Wang
Zhen Tan
Huan Liu
Jundong Li
26
15
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Graph Self-Supervised Learning for Endoscopic Image Matching
Manel Farhat
A. Ben-Hamadou
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21
1
0
19 Jun 2023
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
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
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
Tahira Shehzadi
K. Hashmi
D. Stricker
Muhammad Zeshan Afzal
ViT
MU
18
28
0
07 Jun 2023
HomE: Homography-Equivariant Video Representation Learning
Anirudh Sriram
Adrien Gaidon
Jiajun Wu
Juan Carlos Niebles
L. Fei-Fei
Ehsan Adeli
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AI4TS
18
2
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02 Jun 2023
Supervised Adversarial Contrastive Learning for Emotion Recognition in Conversations
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Yinan Bao
Lingwei Wei
Wei Zhou
Song Hu
26
51
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02 Jun 2023
Point-GCC: Universal Self-supervised 3D Scene Pre-training via Geometry-Color Contrast
Guo Fan
Zekun Qi
Wenkai Shi
Kaisheng Ma
3DPC
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23
9
0
31 May 2023
Matrix Information Theory for Self-Supervised Learning
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Zhi-Hao Tan
Jingqin Yang
Weiran Huang
Yang Yuan
SSL
45
16
0
27 May 2023
Modulate Your Spectrum in Self-Supervised Learning
Xi Weng
Yu-Li Ni
Tengwei Song
Jie Luo
Rao Muhammad Anwer
Salman Khan
F. Khan
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32
5
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26 May 2023
Detecting Heart Disease from Multi-View Ultrasound Images via Supervised Attention Multiple Instance Learning
Zhe Huang
B. Wessler
M. C. Hughes
22
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Sample and Predict Your Latent: Modality-free Sequential Disentanglement via Contrastive Estimation
Ilana D Naiman
Nimrod Berman
Omri Azencot
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26
6
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Reverse Engineering Self-Supervised Learning
Ido Ben-Shaul
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Tomer Galanti
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23
34
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Difference-Masking: Choosing What to Mask in Continued Pretraining
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Paul Pu Liang
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Mengrou Shou
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24
4
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Temporally Causal Discovery Tests for Discrete Time Series and Neural Spike Trains
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G. Gregoriou
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Know Your Self-supervised Learning: A Survey on Image-based Generative and Discriminative Training
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Hyun Jung Lee
Beril Boga
Esla Timothy Anzaku
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Arnout Van Messem
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DiffM
26
36
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EnSiam: Self-Supervised Learning With Ensemble Representations
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24
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Task Arithmetic in the Tangent Space: Improved Editing of Pre-Trained Models
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Alessandro Favero
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HMSN: Hyperbolic Self-Supervised Learning by Clustering with Ideal Prototypes
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Georgios Leontidis
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Tuned Contrastive Learning
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Manmohan Chandraker
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13
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How does Contrastive Learning Organize Images?
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Yao Lu
Qi Xuan
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26
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Colonoscopy Coverage Revisited: Identifying Scanning Gaps in Real-Time
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I. Kligvasser
Roman Goldenberg
Michael Elad
Ehud Rivlin
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Self-Supervised Video Representation Learning via Latent Time Navigation
Di Yang
Yaohui Wang
Quan Kong
A. Dantcheva
Lorenzo Garattoni
Gianpiero Francesca
F. Brémond
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Few-shot Action Recognition via Intra- and Inter-Video Information Maximization
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Tieyuan Chen
Yuxi Li
Shuyuan Li
John See
31
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Out-of-Domain Intent Detection Considering Multi-Turn Dialogue Contexts
Hao Lang
Yinhe Zheng
Binyuan Hui
Fei Huang
Yongbin Li
19
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A Simplified Framework for Contrastive Learning for Node Representations
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Huy Tran
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Leveraging Unlabelled Data in Multiple-Instance Learning Problems for Improved Detection of Parkinsonian Tremor in Free-Living Conditions
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Unsupervised Synthetic Image Refinement via Contrastive Learning and Consistent Semantic-Structural Constraints
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