MINE: Mutual Information Neural Estimation

12 January 2018

Mohamed Ishmael Belghazi

Aaron Courville

Papers citing "MINE: Mutual Information Neural Estimation"

50 / 632 papers shown

Title
A novel multimodal fusion network based on a joint coding model for lane line segmentation Zhenhong Zou Xuzhi Zhang Huaping Liu Zhiwei Li Amir Hussain Jun Li 26 21 0 20 Mar 2021
There and Back Again: Self-supervised Multispectral Correspondence Estimation Celyn Walters Oscar Alejandro Mendez Maldonado Mark Johnson Richard Bowden SSL 41 7 0 19 Mar 2021
$Non-Asymptotic Performance Guarantees for Neural Estimation of $\mathsf{f}$-Divergences$ Non-Asymptotic Performance Guarantees for Neural Estimation of $\mathsf{f}$ -Divergences Sreejith Sreekumar Zhengxin Zhang Ziv Goldfeld FedML 32 17 0 11 Mar 2021
Tensor networks and efficient descriptions of classical data Sirui Lu Márton Kanász-Nagy I. Kukuljan J. I. Cirac 24 24 0 11 Mar 2021
Analyzing the Hidden Activations of Deep Policy Networks: Why Representation Matters Trevor A. McInroe Michael Spurrier J. Sieber Stephen Conneely 13 0 0 11 Mar 2021
Domain-Robust Visual Imitation Learning with Mutual Information Constraints Edoardo Cetin Oya Celiktutan OOD DRL 22 18 0 08 Mar 2021
Behavior-Driven Synthesis of Human Dynamics A. Blattmann Timo Milbich Michael Dorkenwald Bjorn Ommer 36 14 0 08 Mar 2021
Learning ABCs: Approximate Bijective Correspondence for isolating factors of variation with weak supervision Kieran A. Murphy Varun Jampani Srikumar Ramalingam A. Makadia 18 2 0 04 Mar 2021
Adversarial Examples can be Effective Data Augmentation for Unsupervised Machine Learning Chia-Yi Hsu Pin-Yu Chen Songtao Lu Sijia Liu Chia-Mu Yu AAML 16 9 0 02 Mar 2021
Adversarial Information Bottleneck Penglong Zhai Shihua Zhang AAML 19 8 0 28 Feb 2021
Moreau-Yosida $f$ -divergences Dávid Terjék 4 5 0 26 Feb 2021
DRIBO: Robust Deep Reinforcement Learning via Multi-View Information Bottleneck Jiameng Fan Wenchao Li OffRL 6 39 0 26 Feb 2021
MIND: Inductive Mutual Information Estimation, A Convex Maximum-Entropy Copula Approach Yves-Laurent Kom Samo 13 8 0 25 Feb 2021
RCoNet: Deformable Mutual Information Maximization and High-order Uncertainty-aware Learning for Robust COVID-19 Detection Shunjie Dong Qianqian Yang Yu Fu Mei Tian Cheng Zhuo OOD 25 42 0 22 Feb 2021
Self-Supervised Learning of Graph Neural Networks: A Unified Review Yaochen Xie Zhao Xu Jingtun Zhang Zhengyang Wang Shuiwang Ji SSL 36 324 0 22 Feb 2021
Learning Intents behind Interactions with Knowledge Graph for Recommendation Xiang Wang Tinglin Huang Dingxian Wang Yancheng Yuan Zhenguang Liu Xiangnan He Tat-Seng Chua 88 414 0 14 Feb 2021
Semantically-Conditioned Negative Samples for Efficient Contrastive Learning J. Ó. Neill Danushka Bollegala 21 6 0 12 Feb 2021
Large-Scale Representation Learning on Graphs via Bootstrapping S. Thakoor Corentin Tallec M. G. Azar Mehdi Azabou Eva L. Dyer Rémi Munos Petar Velivcković Michal Valko SSL 29 217 0 12 Feb 2021
Deep Deterministic Information Bottleneck with Matrix-based Entropy Functional Xi Yu Shujian Yu José C. Príncipe AAML 19 26 0 31 Jan 2021
Calibrating and Improving Graph Contrastive Learning Kaili Ma Haochen Yang Han Yang Yongqiang Chen James Cheng 45 6 0 27 Jan 2021
Measuring Dependence with Matrix-based Entropy Functional Shujian Yu Francesco Alesiani Xi Yu Robert Jenssen José C. Príncipe 16 24 0 25 Jan 2021
Analysis of Information Flow Through U-Nets Suemin Lee Ivan V. Bajić SSeg 12 2 0 21 Jan 2021
Blocked and Hierarchical Disentangled Representation From Information Theory Perspective Ziwen Liu Mingqiang Li Congying Han DRL 15 1 0 21 Jan 2021
DICE: Diversity in Deep Ensembles via Conditional Redundancy Adversarial Estimation Alexandre Ramé Matthieu Cord FedML 50 51 0 14 Jan 2021
Cross-Modal Contrastive Learning for Text-to-Image Generation Han Zhang Jing Yu Koh Jason Baldridge Honglak Lee Yinfei Yang GAN 22 355 0 12 Jan 2021
Controllable Guarantees for Fair Outcomes via Contrastive Information Estimation Umang Gupta Aaron Ferber B. Dilkina Greg Ver Steeg 34 53 0 11 Jan 2021
How to Train Your Energy-Based Models Yang Song Diederik P. Kingma DiffM 24 241 0 09 Jan 2021
Semi-Supervised Disentangled Framework for Transferable Named Entity Recognition Zhifeng Hao Di Lv Zijian Li Ruichu Cai Wen Wen Boyan Xu 11 12 0 22 Dec 2020
Disentangled Information Bottleneck Ziqi Pan Li Niu Jianfu Zhang Liqing Zhang 30 36 0 14 Dec 2020
DEAAN: Disentangled Embedding and Adversarial Adaptation Network for Robust Speaker Representation Learning Mufan Sang Wei Xia John H. L. Hansen OOD DRL 14 23 0 12 Dec 2020
Bipartite Graph Embedding via Mutual Information Maximization Jiangxia Cao Xixun Lin Shu Guo Luchen Liu Tingwen Liu Bin Wang 80 110 0 10 Dec 2020
Deep Unsupervised Image Anomaly Detection: An Information Theoretic Framework Fei Ye Huangjie Zheng Chaoqin Huang Ya Zhang 11 13 0 09 Dec 2020
Conditional Generation of Medical Images via Disentangled Adversarial Inference Mohammad Havaei Ximeng Mao Yiping Wang Qicheng Lao GAN MedIm 26 20 0 08 Dec 2020
Mutual Information Maximization on Disentangled Representations for Differential Morph Detection Sobhan Soleymani Ali Dabouei Fariborz Taherkhani J. Dawson Nasser M. Nasrabadi 30 27 0 02 Dec 2020
Learning View-Disentangled Human Pose Representation by Contrastive Cross-View Mutual Information Maximization Long Zhao Yuxiao Wang Jiaping Zhao Liangzhe Yuan Jennifer J. Sun Florian Schroff Hartwig Adam Xi Peng Dimitris N. Metaxas Ting Liu SSL 17 30 0 02 Dec 2020
Disentangling Label Distribution for Long-tailed Visual Recognition Youngkyu Hong Seungju Han Kwanghee Choi Seokjun Seo Beomsu Kim Buru Chang 11 230 0 01 Dec 2020
Unsupervised Constrained Community Detection via Self-Expressive Graph Neural Network S. Bandyopadhyay Vishal Peter SSL 14 10 0 28 Nov 2020
Interpretable Signed Link Prediction with Signed Infomax Hyperbolic Graph Yadan Luo Zi Huang Hongxu Chen Yang Yang Mahsa Baktash 33 10 0 25 Nov 2020
Learning Class Unique Features in Fine-Grained Visual Classification Runkai Zheng Zhijia Yu Yinqi Zhang C. Ding Hei Victor Cheng Li Liu 8 0 0 22 Nov 2020
Run Away From your Teacher: Understanding BYOL by a Novel Self-Supervised Approach Haizhou Shi Dongliang Luo Siliang Tang Jian Wang Yueting Zhuang SSL 21 13 0 22 Nov 2020
Reducing the Variance of Variational Estimates of Mutual Information by Limiting the Critic's Hypothesis Space to RKHS P. A. Sreekar Ujjwal Tiwari A. Namboodiri 6 2 0 17 Nov 2020
Combating the Instability of Mutual Information-based Losses via Regularization Kwanghee Choi Siyeong Lee AAML 25 4 0 16 Nov 2020
Power System Event Identification based on Deep Neural Network with Information Loading Jie Shi Brandon Foggo N. Yu 9 35 0 13 Nov 2020
Bottleneck Problems: Information and Estimation-Theoretic View S. Asoodeh Flavio du Pin Calmon 22 18 0 12 Nov 2020
$(f,Γ)$ -Divergences: Interpolating between $f$ -Divergences and Integral Probability Metrics Jeremiah Birrell P. Dupuis M. Katsoulakis Yannis Pantazis Luc Rey-Bellet 6 8 0 11 Nov 2020
Sampling and Recovery of Graph Signals based on Graph Neural Networks Siheng Chen Maosen Li Ya Zhang 15 3 0 03 Nov 2020
Mutual Information-based Disentangled Neural Networks for Classifying Unseen Categories in Different Domains: Application to Fetal Ultrasound Imaging Qingjie Meng Jacqueline Matthew V. Zimmer Alberto Gómez D. Lloyd Daniel Rueckert Bernhard Kainz OOD 19 36 0 30 Oct 2020
Graph Transformer Networks with Syntactic and Semantic Structures for Event Argument Extraction Amir Pouran Ben Veyseh Tuan Ngo Nguyen Thien Huu Nguyen GNN 39 47 0 26 Oct 2020
Unsupervised Learning of Disentangled Speech Content and Style Representation Andros Tjandra Ruoming Pang Yu Zhang Shigeki Karita BDL DRL 23 15 0 24 Oct 2020
Cross-Modal Information Maximization for Medical Imaging: CMIM Tristan Sylvain Francis Dutil T. Berthier Lisa Di-Jorio Margaux Luck Devon Hjelm Yoshua Bengio 17 6 0 20 Oct 2020