Learning deep representations by mutual information estimation and maximization

20 August 2018

R. Devon Hjelm

A. Fedorov

Samuel Lavoie-Marchildon

Papers citing "Learning deep representations by mutual information estimation and maximization"

50 / 633 papers shown

Title
Training on Synthetic Data Beats Real Data in Multimodal Relation Extraction Zilin Du Haoxin Li Xu Guo Boyang Li 37 1 0 05 Dec 2023
Learning Anatomically Consistent Embedding for Chest Radiography Ziyu Zhou Haozhe Luo Jiaxuan Pang Xiaowei Ding Michael B. Gotway Jianming Liang SSL 22 5 0 01 Dec 2023
Text Attribute Control via Closed-Loop Disentanglement Lei Sha Thomas Lukasiewicz DRL 52 2 0 01 Dec 2023
CUCL: Codebook for Unsupervised Continual Learning Chen Cheng Jingkuan Song Xiaosu Zhu Sitong Su Lianli Gao H. Shen CLL 30 2 0 25 Nov 2023
Contrastive Learning for Multi-Object Tracking with Transformers Pierre-François De Plaen Nicola Marinello Marc Proesmans Tinne Tuytelaars Luc Van Gool VOT 42 6 0 14 Nov 2023
How Well Do Text Embedding Models Understand Syntax? Yan Zhang Zhaopeng Feng Zhiyang Teng Zuozhu Liu Haizhou Li 42 3 0 14 Nov 2023
Towards a Unified Framework of Contrastive Learning for Disentangled Representations Stefan Matthes Zhiwei Han Hao Shen 42 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
Multimodal Variational Auto-encoder based Audio-Visual Segmentation Yuxin Mao Jing Zhang Mochu Xiang Yiran Zhong Yuchao Dai 40 34 0 12 Oct 2023
CrIBo: Self-Supervised Learning via Cross-Image Object-Level Bootstrapping Tim Lebailly Thomas Stegmüller Behzad Bozorgtabar Jean-Philippe Thiran Tinne Tuytelaars SSL 52 6 0 11 Oct 2023
Transferable Availability Poisoning Attacks Yiyong Liu Michael Backes Xiao Zhang AAML 27 3 0 08 Oct 2023
DimCL: Dimensional Contrastive Learning For Improving Self-Supervised Learning Thanh Nguyen T. Pham Chaoning Zhang Tung M. Luu Thang Vu Chang D. Yoo 29 9 0 21 Sep 2023
Contrastive Representation Learning Based on Multiple Node-centered Subgraphs Dong Li Wenjun Wang Minglai Shao Chen Zhao SSL 30 2 0 31 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
Information Theory-Guided Heuristic Progressive Multi-View Coding Jiangmeng Li Hang Gao Jingyao Wang Changwen Zheng 27 2 0 21 Aug 2023
Learning Disentangled Representation with Mutual Information Maximization for Real-Time UAV Tracking Xucheng Wang Xiangyang Yang Hengzhou Ye Shuiwang Li 21 5 0 20 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
MOLE: MOdular Learning FramEwork via Mutual Information Maximization Tianchao Li Yulong Pei 38 0 0 15 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
Improving Semi-Supervised Semantic Segmentation with Dual-Level Siamese Structure Network Zhibo Tain Xiaolin Zhang Peng Zhang Kun Zhan 38 9 0 26 Jul 2023
MC-JEPA: A Joint-Embedding Predictive Architecture for Self-Supervised Learning of Motion and Content Features Adrien Bardes Jean Ponce Yann LeCun MDE 44 25 0 24 Jul 2023
DDNAS: Discretized Differentiable Neural Architecture Search for Text Classification Kuan-Yu Chen Cheng Li Kuo-Jung Lee 28 1 0 12 Jul 2023
Hearing Lips in Noise: Universal Viseme-Phoneme Mapping and Transfer for Robust Audio-Visual Speech Recognition Yuchen Hu Ruizhe Li Cheng Chen Chengwei Qin Qiu-shi Zhu Eng Siong Chng 39 5 0 18 Jun 2023
A brief review of contrastive learning applied to astrophysics M. Huertas-Company R. Sarmiento J. Knapen 34 9 0 08 Jun 2023
Correlative Information Maximization: A Biologically Plausible Approach to Supervised Deep Neural Networks without Weight Symmetry Bariscan Bozkurt Cengiz Pehlevan A. Erdogan 37 1 0 07 Jun 2023
Feature Learning in Image Hierarchies using Functional Maximal Correlation Bo Hu Yuheng Bu José C. Príncipe 27 0 0 31 May 2023
A Group Symmetric Stochastic Differential Equation Model for Molecule Multi-modal Pretraining Shengchao Liu Weitao Du Zhiming Ma Hongyu Guo Jian Tang 31 30 0 28 May 2023
EnSiam: Self-Supervised Learning With Ensemble Representations Kai Han Minsik Lee SSL 24 0 0 22 May 2023
State Representation Learning Using an Unbalanced Atlas Li Meng Morten Goodwin Anis Yazidi P. Engelstad 37 2 0 17 May 2023
How does Contrastive Learning Organize Images? Yunzhe Zhang Yao Lu Qi Xuan SSL 37 0 0 17 May 2023
Policy Gradient Methods in the Presence of Symmetries and State Abstractions Prakash Panangaden S. Rezaei-Shoshtari Rosie Zhao David Meger Doina Precup 38 2 0 09 May 2023
A Simplified Framework for Contrastive Learning for Node Representations Ilgee Hong Huy Tran Claire Donnat SSL 19 1 0 01 May 2023
Conditional Graph Information Bottleneck for Molecular Relational Learning Namkyeong Lee Dongmin Hyun Gyoung S. Na Sungwon Kim Junseok Lee Chanyoung Park 43 23 0 29 Apr 2023
Rotation and Translation Invariant Representation Learning with Implicit Neural Representations Sehyun Kwon Jooyoung Choi Ernest K. Ryu OOD 41 4 0 27 Apr 2023
Contrastive Tuning: A Little Help to Make Masked Autoencoders Forget Johannes Lehner Benedikt Alkin Andreas Fürst Elisabeth Rumetshofer Lukas Miklautz Sepp Hochreiter 36 18 0 20 Apr 2023
Shuffle & Divide: Contrastive Learning for Long Text Joonseok Lee Seongho Joe Kyoungwon Park Bogun Kim Ho. Kang Jaeseon Park Youngjune Gwon 17 0 0 19 Apr 2023
ContraCluster: Learning to Classify without Labels by Contrastive Self-Supervision and Prototype-Based Semi-Supervision Seongho Joe Byoungjip Kim Ho. Kang Kyoungwon Park Bogun Kim Jaeseon Park Joonseok Lee Youngjune Gwon SSL 26 1 0 19 Apr 2023
Multi-View Graph Representation Learning Beyond Homophily Bei Lin You Li Ning Gui Zhuopeng Xu Zhiwu Yu SSL 33 6 0 15 Apr 2023
InfoCTM: A Mutual Information Maximization Perspective of Cross-Lingual Topic Modeling Xiaobao Wu Xinshuai Dong Thong Nguyen Chaoqun Liu Liangming Pan Anh Tuan Luu 36 23 0 07 Apr 2023
VNE: An Effective Method for Improving Deep Representation by Manipulating Eigenvalue Distribution Jaeill Kim Suhyun Kang Duhun Hwang Jungwook Shin Wonjong Rhee DRL 13 21 0 04 Apr 2023
Your Diffusion Model is Secretly a Zero-Shot Classifier Alexander C. Li Mihir Prabhudesai Shivam Duggal Ellis L Brown Deepak Pathak DiffM VLM 58 227 0 28 Mar 2023
On the Stepwise Nature of Self-Supervised Learning James B. Simon Maksis Knutins Liu Ziyin Daniel Geisz Abraham J. Fetterman Joshua Albrecht SSL 42 30 0 27 Mar 2023
CrOC: Cross-View Online Clustering for Dense Visual Representation Learning Thomas Stegmüller Tim Lebailly Behzad Bozorgtabar Tinne Tuytelaars Jean-Philippe Thiran 42 15 0 23 Mar 2023
PRISE: Demystifying Deep Lucas-Kanade with Strongly Star-Convex Constraints for Multimodel Image Alignment Yiqing Zhang Xinming Huang Ziming Zhang 38 4 0 21 Mar 2023
AdaOPC: A Self-Adaptive Mask Optimization Framework For Real Design Patterns Wenqian Zhao Xufeng Yao Ziyang Yu Guojin Chen Yuzhe Ma Bei Yu Martin D. F. Wong 30 17 0 15 Mar 2023
Traffic Prediction with Transfer Learning: A Mutual Information-based Approach Yunjie Huang Xiaozhuang Song Yuanshao Zhu Shiyao Zhang James J. Q. Yu AI4TS 33 11 0 13 Mar 2023
Self-Supervised Learning for Group Equivariant Neural Networks Yusuke Mukuta Tatsuya Harada SSL 35 0 0 08 Mar 2023
Efficient Masked Autoencoders with Self-Consistency Zhaowen Li Yousong Zhu Zhiyang Chen Wei Li Chaoyang Zhao Rui Zhao Ming Tang Jinqiao Wang 58 2 0 28 Feb 2023
SGL-PT: A Strong Graph Learner with Graph Prompt Tuning Yun Zhu Jianhao Guo Siliang Tang 32 28 0 24 Feb 2023