Learning Representations by Maximizing Mutual Information Across Views

3 June 2019

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

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Title
A deep cut into Split Federated Self-supervised Learning Marcin Przewiȩźlikowski Marcin Osial Bartosz Zieliñski Marek 'Smieja FedML 40 0 0 12 Jun 2024
Skill-aware Mutual Information Optimisation for Generalisation in Reinforcement Learning Xuehui Yu Mhairi Dunion Xin Li Stefano V. Albrecht 36 2 0 07 Jun 2024
Confidence-aware Contrastive Learning for Selective Classification Yu-Chang Wu Shen-Huan Lyu Haopu Shang Xiangyu Wang Chao Qian 29 3 0 07 Jun 2024
Road Network Representation Learning with the Third Law of Geography Haicang Zhou Weiming Huang Yile Chen Tiantian He Gao Cong Yew-Soon Ong 19 4 0 06 Jun 2024
Exploring Effects of Hyperdimensional Vectors for Tsetlin Machines Vojtech Halenka A. K. Kadhim Paul F. A. Clarke Bimal Bhattarai Rupsa Saha Ole-Christoffer Granmo Lei Jiao Per-Arne Andersen 47 2 0 04 Jun 2024
An Information Compensation Framework for Zero-Shot Skeleton-based Action Recognition Haojun Xu Yanlei Gao Jie Li Xinbo Gao 37 2 0 02 Jun 2024
Causal Contrastive Learning for Counterfactual Regression Over Time Mouad El Bouchattaoui Myriam Tami Benoit Lepetit P. Cournède CML AI4TS 38 2 0 01 Jun 2024
Self-degraded contrastive domain adaptation for industrial fault diagnosis with bi-imbalanced data Gecheng Chen Zeyu Yang Chengwen Luo Jian-qiang Li 23 0 0 31 May 2024
Contrasting Multiple Representations with the Multi-Marginal Matching Gap Zoe Piran Michal Klein James Thornton Marco Cuturi 38 2 0 29 May 2024
In-Context Symmetries: Self-Supervised Learning through Contextual World Models Sharut Gupta Chenyu Wang Yifei Wang Tommi Jaakkola Stefanie Jegelka 32 1 0 28 May 2024
Probabilistic Contrastive Learning with Explicit Concentration on the Hypersphere H. Li Ouyang Cheng Tamaz Amiranashvili Matthew S. Rosen Bjoern H. Menze J. Iglesias 41 0 0 26 May 2024
Maximum Manifold Capacity Representations in State Representation Learning Li Meng Morten Goodwin Anis Yazidi P. Engelstad 49 0 0 22 May 2024
Towards Graph Contrastive Learning: A Survey and Beyond Wei Ju Yifan Wang Yifang Qin Zhengyan Mao Zhiping Xiao ... Dongjie Wang Qingqing Long Siyu Yi Xiao Luo Ming Zhang 59 12 0 20 May 2024
Enhancing Weakly Supervised Semantic Segmentation with Multi-modal Foundation Models: An End-to-End Approach Elham Ravanbakhsh Cheng Niu Yongqing Liang J. Ramanujam Xin Li VLM 52 0 0 10 May 2024
A Review on Discriminative Self-supervised Learning Methods in Computer Vision Nikolaos Giakoumoglou Tania Stathaki Athanasios Gkelias SSL 64 1 0 08 May 2024
Contrastive Learning Method for Sequential Recommendation based on Multi-Intention Disentanglement Zeyu Hu Yuzhi Xiao Tao Huang Xuanrong Huo DRL 39 0 0 28 Apr 2024
Understanding Hyperbolic Metric Learning through Hard Negative Sampling Yun Yue Fangzhou Lin Guanyi Mou Ziming Zhang SSL 30 1 0 23 Apr 2024
Towards noise contrastive estimation with soft targets for conditional models J. Hugger Virginie Uhlmann UQCV 39 1 0 22 Apr 2024
Multi-view Disentanglement for Reinforcement Learning with Multiple Cameras Mhairi Dunion Stefano V. Albrecht 27 4 0 22 Apr 2024
CKD: Contrastive Knowledge Distillation from A Sample-wise Perspective Wencheng Zhu Xin Zhou Pengfei Zhu Yu Wang Qinghua Hu VLM 56 1 0 22 Apr 2024
Application of Deep Learning Methods to Processing of Noisy Medical Video Data Danil Afonchikov E. Kornaeva Irina Makovik Alexey Kornaev 28 0 0 16 Apr 2024
A Universal Knowledge Embedded Contrastive Learning Framework for Hyperspectral Image Classification Quanwei Liu Yanni Dong Tao Huang Lefei Zhang Bo Du VLM 32 1 0 02 Apr 2024
The Bad Batches: Enhancing Self-Supervised Learning in Image Classification Through Representative Batch Curation Ozgu Goksu Nicolas Pugeault SSL 29 0 0 28 Mar 2024
Fine-Tuning Language Models with Reward Learning on Policy Hao Lang Fei Huang Yongbin Li ALM 34 5 0 28 Mar 2024
Branch-Tuning: Balancing Stability and Plasticity for Continual Self-Supervised Learning Wenzhuo Liu Fei Zhu Cheng-Lin Liu CLL 32 2 0 27 Mar 2024
On Pretraining Data Diversity for Self-Supervised Learning Hasan Hammoud Tuhin Das Fabio Pizzati Philip H. S. Torr Adel Bibi Bernard Ghanem 103 2 0 20 Mar 2024
Automated Contrastive Learning Strategy Search for Time Series Baoyu Jing Yansen Wang Guoxin Sui Jing Hong Jingrui He Yuqing Yang Dongsheng Li Kan Ren AI4TS 32 6 0 19 Mar 2024
Investigating the Benefits of Projection Head for Representation Learning Yihao Xue Eric Gan Jiayi Ni Siddharth Joshi Baharan Mirzasoleiman 41 10 0 18 Mar 2024
What Makes Good Collaborative Views? Contrastive Mutual Information Maximization for Multi-Agent Perception Wanfang Su Lixing Chen Yang Bai Xi Lin Gaolei Li Zhe Qu Pan Zhou 43 5 0 15 Mar 2024
Towards Deviation-Robust Agent Navigation via Perturbation-Aware Contrastive Learning Bingqian Lin Yanxin Long Yi Zhu Fengda Zhu Xiaodan Liang QiXiang Ye Liang Lin 31 5 0 09 Mar 2024
Poly-View Contrastive Learning Amitis Shidani Devon Hjelm Jason Ramapuram Russ Webb Eeshan Gunesh Dhekane Dan Busbridge VLM SSL 34 4 0 08 Mar 2024
Denoising Autoregressive Representation Learning Yazhe Li J. Bornschein Ting Chen DiffM 32 3 0 08 Mar 2024
Learning to Maximize Mutual Information for Chain-of-Thought Distillation Xin Chen Hanxian Huang Yanjun Gao Yi Wang Jishen Zhao Ke Ding 35 11 0 05 Mar 2024
Enhancing the "Immunity" of Mixture-of-Experts Networks for Adversarial Defense Qiao Han yong huang Xinling Guo Yiteng Zhai Yu Qin Yao Yang AAML 20 1 0 29 Feb 2024
Adapt Before Comparison: A New Perspective on Cross-Domain Few-Shot Segmentation Jonas Herzog SSeg 38 3 0 27 Feb 2024
Demonstrating and Reducing Shortcuts in Vision-Language Representation Learning Maurits J. R. Bleeker Mariya Hendriksen Andrew Yates Maarten de Rijke VLM 40 3 0 27 Feb 2024
NeuralSI: Neural Design of Semantic Interaction for Interactive Deep Learning Yali Bian Rebecca Faust Chris North HAI 22 0 0 27 Feb 2024
Mysterious Projections: Multimodal LLMs Gain Domain-Specific Visual Capabilities Without Richer Cross-Modal Projections Gaurav Verma Minje Choi Kartik Sharma J. Watson-Daniels Sejoon Oh Srijan Kumar MLLM VLM 32 8 0 26 Feb 2024
The Common Stability Mechanism behind most Self-Supervised Learning Approaches Abhishek Jha Matthew B. Blaschko Yuki M. Asano Tinne Tuytelaars SSL 29 1 0 22 Feb 2024
Robust Training of Federated Models with Extremely Label Deficiency Yonggang Zhang Zhiqin Yang Xinmei Tian Nannan Wang Tongliang Liu Bo Han FedML 35 6 0 22 Feb 2024
CCFC++: Enhancing Federated Clustering through Feature Decorrelation Jie Yan Jing Liu Yi-Zi Ning Zhonghan Zhang FedML 19 2 0 20 Feb 2024
Separating common from salient patterns with Contrastive Representation Learning Robin Louiset Edouard Duchesnay Antoine Grigis Pietro Gori SSL DRL 43 1 0 19 Feb 2024
$f$ -MICL: Understanding and Generalizing InfoNCE-based Contrastive Learning Yiwei Lu Guojun Zhang Sun Sun Hongyu Guo Yaoliang Yu VLM 23 5 0 15 Feb 2024
WERank: Towards Rank Degradation Prevention for Self-Supervised Learning Using Weight Regularization Ali Saheb Pasand Reza Moravej Mahdi Biparva Ali Ghodsi 34 2 0 14 Feb 2024
A survey of recent methods for addressing AI fairness and bias in biomedicine Yifan Yang Mingquan Lin Han Zhao Yifan Peng Furong Huang Zhiyong Lu 29 15 0 13 Feb 2024
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 13 1 0 05 Feb 2024
Prototypical Contrastive Learning through Alignment and Uniformity for Recommendation Yangxun Ou Lei Chen Fenglin Pan Yupeng Wu 19 1 0 03 Feb 2024
A Probabilistic Model behind Self-Supervised Learning Alice Bizeul Bernhard Schölkopf Carl Allen SSL 26 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 38 2 0 22 Jan 2024