Learning Representations by Maximizing Mutual Information Across Views

3 June 2019

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

50 / 877 papers shown

Title
Unsupervised Gaze-aware Contrastive Learning with Subject-specific Condition Li-Huan Du Xucong Zhang Guohao Lan CVBM 22 1 0 08 Sep 2023
Adapting Self-Supervised Representations to Multi-Domain Setups Neha Kalibhat Sam Sharpe Jeremy Goodsitt Bayan Bruss S. Feizi 34 0 0 07 Sep 2023
CR-VAE: Contrastive Regularization on Variational Autoencoders for Preventing Posterior Collapse Fotios Lygerakis Elmar Rueckert DRL 19 4 0 06 Sep 2023
Contrastive Learning as Kernel Approximation Konstantinos Christopher Tsiolis SSL 23 0 0 06 Sep 2023
A Generic Fundus Image Enhancement Network Boosted by Frequency Self-supervised Representation Learning Heng Li Haofeng Liu Huazhu Fu Yanwu Xu Hui Shu Ke Niu Yan Hu Jiang-Dong Liu 26 14 0 02 Sep 2023
Towards a Rigorous Analysis of Mutual Information in Contrastive Learning Kyungeun Lee Jaeill Kim Suhyun Kang Wonjong Rhee SSL 36 2 0 30 Aug 2023
Unleash Model Potential: Bootstrapped Meta Self-supervised Learning Wenwen Qiang Zeen Song Wenwen Qiang Changwen Zheng SSL 22 1 0 28 Aug 2023
Towards Fast and Accurate Image-Text Retrieval with Self-Supervised Fine-Grained Alignment Jiamin Zhuang Jing Yu Yang Ding Xiangyang Qu Yue Hu 32 9 0 27 Aug 2023
Semi-Supervised Learning via Weight-aware Distillation under Class Distribution Mismatch Pan Du Suyun Zhao Zisen Sheng Cuiping Li Hong Chen 29 5 0 23 Aug 2023
MetaGCD: Learning to Continually Learn in Generalized Category Discovery Yanan Wu Zhixiang Chi Yang Wang Songhe Feng BDL CLL 28 27 0 21 Aug 2023
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 Rui Qian Shuangrui Ding Xian Liu Dahua Lin 34 14 0 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 27 2 0 17 Aug 2023
Stable and Causal Inference for Discriminative Self-supervised Deep Visual Representations Yuewei Yang Hai Helen Li Yiran Chen CML OOD 34 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 49 0 0 15 Aug 2023
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 56 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 CLL 47 11 0 04 Aug 2023
Image Synthesis under Limited Data: A Survey and Taxonomy Mengping Yang Zhe Wang 33 8 0 31 Jul 2023
Hallucination Improves the Performance of Unsupervised Visual Representation Learning Jing Wu Jennifer Hobbs N. Hovakimyan SSL 34 20 0 22 Jul 2023
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 50 6 0 20 Jul 2023
A Holistic Assessment of the Reliability of Machine Learning Systems Anthony Corso David Karamadian Romeo Valentin Mary Cooper Mykel J. Kochenderfer 30 6 0 20 Jul 2023
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 24 3 0 18 Jul 2023
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 43 7 0 12 Jul 2023
Learning Multi-Agent Communication with Contrastive Learning Y. Lo B. Sengupta Jakob N. Foerster Michael Noukhovitch 49 5 0 03 Jul 2023
More Synergy, Less Redundancy: Exploiting Joint Mutual Information for Self-Supervised Learning S. Mohamadi Gianfranco Doretto Don Adjeroh SSL 26 9 0 02 Jul 2023
DUET: 2D Structured and Approximately Equivariant Representations Xavier Suau Federico Danieli Thomas Anderson Keller Arno Blaas Chen Huang Jason Ramapuram Dan Busbridge Luca Zappella 30 3 0 28 Jun 2023
Contrastive Meta-Learning for Few-shot Node Classification Song Wang Zhen Tan Huan Liu Jundong Li 33 15 0 27 Jun 2023
Graph Self-Supervised Learning for Endoscopic Image Matching Manel Farhat A. Ben-Hamadou SSL 26 1 0 19 Jun 2023
HomoGCL: Rethinking Homophily in Graph Contrastive Learning Wenzhong Li Changdong Wang Hui Xiong Jian-Huang Lai 34 23 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 26 0 13 Jun 2023
Factorized Contrastive Learning: Going Beyond Multi-view Redundancy Paul Pu Liang Zihao Deng Martin Q. Ma James 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 26 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 SSL AI4TS 33 2 0 02 Jun 2023
Supervised Adversarial Contrastive Learning for Emotion Recognition in Conversations Dou Hu Yinan Bao Lingwei Wei Wei Zhou Song Hu 29 51 0 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 SSL 35 9 0 31 May 2023
Matrix Information Theory for Self-Supervised Learning Yifan Zhang Zhi-Hao Tan Jingqin Yang Weiran Huang Yang Yuan SSL 48 18 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 Fahad Shahbaz Khan Lei Huang 45 5 0 26 May 2023
Detecting Heart Disease from Multi-View Ultrasound Images via Supervised Attention Multiple Instance Learning Zhe Huang B. Wessler M. C. Hughes 30 4 0 25 May 2023
Sample and Predict Your Latent: Modality-free Sequential Disentanglement via Contrastive Estimation Ilana D Naiman Nimrod Berman Omri Azencot DRL 34 6 0 25 May 2023
Reverse Engineering Self-Supervised Learning Ido Ben-Shaul Ravid Shwartz-Ziv Tomer Galanti S. Dekel Yann LeCun SSL 26 35 0 24 May 2023
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 32 4 0 23 May 2023
Temporally Causal Discovery Tests for Discrete Time Series and Neural Spike Trains A. Theocharous G. Gregoriou P. Sapountzis Ioannis Kontoyiannis CML 26 2 0 23 May 2023
Reviewing Evolution of Learning Functions and Semantic Information Measures for Understanding Deep Learning Chenguang Lu AAML 20 6 0 23 May 2023
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 28 36 0 23 May 2023
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 Guillermo Ortiz-Jiménez Alessandro Favero P. Frossard MoMe 51 113 0 22 May 2023
HMSN: Hyperbolic Self-Supervised Learning by Clustering with Ideal Prototypes A. Durrant Georgios Leontidis SSL 38 4 0 18 May 2023
Tuned Contrastive Learning Chaitanya Animesh Manmohan Chandraker SSL 19 0 0 18 May 2023
How does Contrastive Learning Organize Images? Yunzhe Zhang Yao Lu Qi Xuan SSL 32 0 0 17 May 2023
Colonoscopy Coverage Revisited: Identifying Scanning Gaps in Real-Time G. Leifman I. Kligvasser Roman Goldenberg Michael Elad Ehud Rivlin 18 0 0 17 May 2023