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
BarlowTwins-CXR : Enhancing Chest X-Ray abnormality localization in heterogeneous data with cross-domain self-supervised learning Haoyue Sheng Linrui Ma Jean-Francois Samson Dianbo Liu SSL 28 5 0 09 Feb 2024
Constrained Multiview Representation for Self-supervised Contrastive Learning Siyuan Dai Kai Ye Kun Zhao Ge Cui Haoteng Tang Liang Zhan SSL 19 1 0 05 Feb 2024
Prototypical Contrastive Learning through Alignment and Uniformity for Recommendation Yangxun Ou Lei Chen Fenglin Pan Yupeng Wu 27 1 0 03 Feb 2024
A Probabilistic Model behind Self-Supervised Learning Alice Bizeul Bernhard Schölkopf Carl Allen SSL 28 2 0 02 Feb 2024
LW-FedSSL: Resource-efficient Layer-wise Federated Self-supervised Learning Ye Lin Tun Chu Myaet Thwal Le Quang Huy Minh N. H. Nguyen Choong Seon Hong FedML 42 2 0 22 Jan 2024
Information-Theoretic State Variable Selection for Reinforcement Learning Charles Westphal Stephen Hailes Mirco Musolesi 26 3 0 21 Jan 2024
Exploring Masked Autoencoders for Sensor-Agnostic Image Retrieval in Remote Sensing Jakob Hackstein Gencer Sumbul Kai Norman Clasen Begüm Demir 38 7 0 15 Jan 2024
CCFC: Bridging Federated Clustering and Contrastive Learning Jie Yan Jing Liu Zhonghan Zhang FedML 48 3 0 12 Jan 2024
Exploiting Data Hierarchy as a New Modality for Contrastive Learning Arjun Bhalla Daniel Levenson Jan Bernhard Anton Abilov 23 0 0 06 Jan 2024
$f$ -Divergence Based Classification: Beyond the Use of Cross-Entropy Nicola Novello Andrea M. Tonello 32 7 0 02 Jan 2024
Understanding Distributed Representations of Concepts in Deep Neural Networks without Supervision Wonjoon Chang Dahee Kwon Jaesik Choi 27 1 0 28 Dec 2023
MIM4DD: Mutual Information Maximization for Dataset Distillation Yuzhang Shang Zhihang Yuan Yan Yan DD 43 14 0 27 Dec 2023
Understanding normalization in contrastive representation learning and out-of-distribution detection T. L. Gia Jaehyun Ahn OODD 33 1 0 23 Dec 2023
Data-Efficient Multimodal Fusion on a Single GPU Noël Vouitsis Zhaoyan Liu S. Gorti Valentin Villecroze Jesse C. Cresswell Guangwei Yu G. Loaiza-Ganem M. Volkovs 51 3 0 15 Dec 2023
EdgePruner: Poisoned Edge Pruning in Graph Contrastive Learning Hiroya Kato Kento Hasegawa Seira Hidano Kazuhide Fukushima AAML 32 0 0 12 Dec 2023
The Counterattack of CNNs in Self-Supervised Learning: Larger Kernel Size might be All You Need Tianjin Huang Tianlong Chen Zhangyang Wang Shiwei Liu 34 1 0 09 Dec 2023
Guarding Barlow Twins Against Overfitting with Mixed Samples W. G. C. Bandara C. D. Melo Vishal M. Patel SSL 37 11 0 04 Dec 2023
Removing Biases from Molecular Representations via Information Maximization Chenyu Wang Sharut Gupta Caroline Uhler Tommi Jaakkola 32 4 0 01 Dec 2023
Optimal Sample Complexity of Contrastive Learning Noga Alon Dmitrii Avdiukhin Dor Elboim Orr Fischer G. Yaroslavtsev SSL 30 5 0 01 Dec 2023
Text Attribute Control via Closed-Loop Disentanglement Lei Sha Thomas Lukasiewicz DRL 47 2 0 01 Dec 2023
Textual-Knowledge-Guided Numerical Feature Discovery Method for Power Demand Forecasting Zifan Ning Min Jin 19 0 0 30 Nov 2023
On the Adversarial Robustness of Graph Contrastive Learning Methods Filippo Guerranti Zinuo Yi Anna Starovoit Rafiq Kamel Simon Geisler Stephan Günnemann AAML 41 2 0 29 Nov 2023
Contrastive encoder pre-training-based clustered federated learning for heterogeneous data Ye Lin Tun Minh N. H. Nguyen Chu Myaet Thwal J. Choi Choong Seon Hong FedML 32 13 0 28 Nov 2023
Understanding Self-Supervised Features for Learning Unsupervised Instance Segmentation Paul Engstler Luke Melas-Kyriazi Christian Rupprecht Iro Laina SSL 27 3 0 24 Nov 2023
Deep Tensor Network Yifan Zhang 32 0 0 18 Nov 2023
Multi-entity Video Transformers for Fine-Grained Video Representation Learning Matthew Walmer Rose Kanjirathinkal Kai Sheng Tai Keyur Muzumdar Taipeng Tian Abhinav Shrivastava ViT 37 0 0 17 Nov 2023
Enhancing Instance-Level Image Classification with Set-Level Labels Renyu Zhang Aly A. Khan Yuxin Chen Robert L. Grossman 33 0 0 09 Nov 2023
Towards a Unified Framework of Contrastive Learning for Disentangled Representations Stefan Matthes Zhiwei Han Hao Shen 39 4 0 08 Nov 2023
SCONE-GAN: Semantic Contrastive learning-based Generative Adversarial Network for an end-to-end image translation Iman Abbasnejad Fabio Zambetta Flora D. Salim Timothy Wiley Jeffrey Chan Russell Gallagher Ehsan Abbasnejad GAN 24 0 0 07 Nov 2023
Contrastive Multi-Level Graph Neural Networks for Session-based Recommendation F. Wang Xingyu Gao Zhenyu Chen Lei Lyu 21 12 0 06 Nov 2023
Self-Supervised Learning of Representations for Space Generates Multi-Modular Grid Cells Rylan Schaeffer Mikail Khona Tzuhsuan Ma Cristobal Eyzaguirre Sanmi Koyejo Ila Rani Fiete SSL 39 20 0 04 Nov 2023
CROMA: Remote Sensing Representations with Contrastive Radar-Optical Masked Autoencoders A. Fuller K. Millard James R. Green 29 60 0 01 Nov 2023
Patch-Wise Self-Supervised Visual Representation Learning: A Fine-Grained Approach Ali Javidani Mohammad Amin Sadeghi Babak N. Araabi 30 0 0 28 Oct 2023
Lang3DSG: Language-based contrastive pre-training for 3D Scene Graph prediction Sebastian Koch Pedro Hermosilla Narunas Vaskevicius Mirco Colosi Timo Ropinski 37 9 0 25 Oct 2023
Contrast Everything: A Hierarchical Contrastive Framework for Medical Time-Series Yihe Wang Yu Han Haishuai Wang Xiang Zhang AI4TS 32 46 0 21 Oct 2023
A Novel Information-Theoretic Objective to Disentangle Representations for Fair Classification Pierre Colombo Nathan Noiry Guillaume Staerman Pablo Piantanida FaML DRL 38 1 0 21 Oct 2023
MTS-LOF: Medical Time-Series Representation Learning via Occlusion-Invariant Features Huayu Li Ana S. Carreon-Rascon Xiwen Chen Geng Yuan Ao Li AI4TS 19 5 0 19 Oct 2023
DropMix: Better Graph Contrastive Learning with Harder Negative Samples Yueqi Ma Minjie Chen Xiang Li SSL 28 1 0 15 Oct 2023
AdaptSSR: Pre-training User Model with Augmentation-Adaptive Self-Supervised Ranking Yang Yu Qi Liu Kai Zhang Yuren Zhang Chao Song Min Hou Yuqing Yuan Zhihao Ye Zaixin Zhang Sanshi Lei Yu 35 2 0 15 Oct 2023
SelfVC: Voice Conversion With Iterative Refinement using Self Transformations Paarth Neekhara Shehzeen Samarah Hussain Rafael Valle Boris Ginsburg Rishabh Ranjan Shlomo Dubnov F. Koushanfar Julian McAuley 23 3 0 14 Oct 2023
Multimodal Variational Auto-encoder based Audio-Visual Segmentation Yuxin Mao Jing Zhang Mochu Xiang Yiran Zhong Yuchao Dai 40 34 0 12 Oct 2023
Cross-domain Robust Deepfake Bias Expansion Network for Face Forgery Detection Weihua Liu Lin Li Chaochao Lin Said Boumaraf CVBM 36 0 0 08 Oct 2023
SemST: Semantically Consistent Multi-Scale Image Translation via Structure-Texture Alignment Ganning Zhao Wenhui Cui Suya You C.-C. Jay Kuo 40 2 0 08 Oct 2023
Information Flow in Self-Supervised Learning Zhiyuan Tan Jingqin Yang Weiran Huang Yang Yuan Yifan Zhang SSL 38 14 0 29 Sep 2023
Reconstruction of Patient-Specific Confounders in AI-based Radiologic Image Interpretation using Generative Pretraining T. Han Laura vZigutyt.e L. Huck M. Huppertz R. Siepmann ... Firas Khader Christiane Kuhl S. Nebelung Jakob Kather Daniel Truhn MedIm 32 3 0 29 Sep 2023
Genetic InfoMax: Exploring Mutual Information Maximization in High-Dimensional Imaging Genetics Studies Yaochen Xie Z. Xie Sheikh Muhammad Saiful Islam D. Zhi Shuiwang Ji MedIm 28 0 0 26 Sep 2023
DimCL: Dimensional Contrastive Learning For Improving Self-Supervised Learning Thanh Nguyen T. Pham Chaoning Zhang Tung M. Luu Thang Vu Chang D. Yoo 27 9 0 21 Sep 2023
BAGEL: Backdoor Attacks against Federated Contrastive Learning Yao Huang Kongyang Chen Jiannong Cao Jiaxing Shen Shaowei Wang Yun Peng Weilong Peng Kechao Cai FedML 37 3 0 14 Sep 2023
Contrastive Deep Encoding Enables Uncertainty-aware Machine-learning-assisted Histopathology Nirhoshan Sivaroopan Chamuditha Jayanga Chalani Ekanayake Hasindri Watawana Jathurshan Pradeepkumar Mithunjha Anandakumar Ranga Rodrigo Chamira U. S. Edussooriya D. Wadduwage MedIm UQCV 41 0 0 13 Sep 2023
BatMan-CLR: Making Few-shots Meta-Learners Resilient Against Label Noise Jeroen Galjaard Robert Birke Juan F. Pérez Lydia Y. Chen NoLa 24 0 0 12 Sep 2023