MINE: Mutual Information Neural Estimation

12 January 2018

Mohamed Ishmael Belghazi

Aaron Courville

Papers citing "MINE: Mutual Information Neural Estimation"

32 / 632 papers shown

Title
On Variational Bounds of Mutual Information Ben Poole Sherjil Ozair Aaron van den Oord Alexander A. Alemi George Tucker SSL 23 798 0 16 May 2019
Data-Efficient Mutual Information Neural Estimator Xiaoyu Lin Indranil Sur Samuel A. Nastase Ajay Divakaran Uri Hasson Mohamed R. Amer DRL 11 20 0 08 May 2019
Adversarial Balancing-based Representation Learning for Causal Effect Inference with Observational Data Xin Du Lei Sun W. Duivesteijn Alexander G. Nikolaev Mykola Pechenizkiy OOD CML 23 41 0 30 Apr 2019
Domain Agnostic Learning with Disentangled Representations Xingchao Peng Zijun Huang Ximeng Sun Kate Saenko OOD DRL 18 258 0 28 Apr 2019
Analyzing the benefits of communication channels between deep learning models Philippe Lacaille 22 0 0 19 Apr 2019
Spatio-Temporal Deep Graph Infomax Felix L. Opolka Aaron Solomon Cătălina Cangea Petar Velickovic Pietro Lió R. Devon Hjelm GNN 11 36 0 12 Apr 2019
Optimal Obfuscation Mechanisms via Machine Learning Marco Romanelli K. Chatzikokolakis C. Palamidessi AAML 15 12 0 01 Apr 2019
Wasserstein Dependency Measure for Representation Learning Sherjil Ozair Corey Lynch Yoshua Bengio Aaron van den Oord Sergey Levine P. Sermanet SSL DRL 30 116 0 28 Mar 2019
Variational Bayesian Optimal Experimental Design Adam Foster M. Jankowiak Eli Bingham Paul Horsfall Yee Whye Teh Tom Rainforth Noah D. Goodman 13 131 0 13 Mar 2019
On Adversarial Mixup Resynthesis Christopher Beckham S. Honari Vikas Verma Alex Lamb F. Ghadiri R. Devon Hjelm Yoshua Bengio C. Pal AAML 20 12 0 07 Mar 2019
Learning about an exponential amount of conditional distributions Mohamed Ishmael Belghazi Maxime Oquab Yann LeCun David Lopez-Paz BDL SSL 19 28 0 22 Feb 2019
Knowledge-Based Regularization in Generative Modeling Naoya Takeishi Yoshinobu Kawahara GAN 25 0 0 06 Feb 2019
Multilevel Monte Carlo Variational Inference Masahiro Fujisawa Issei Sato 11 10 0 01 Feb 2019
On Network Science and Mutual Information for Explaining Deep Neural Networks Brian Davis Umang Bhatt Kartikeya Bhardwaj R. Marculescu J. M. F. Moura FedML SSL FAtt 13 10 0 20 Jan 2019
Arbitrary Talking Face Generation via Attentional Audio-Visual Coherence Learning Hao Zhu Huaibo Huang Yi Li Aihua Zheng Ran He CVBM 19 57 0 17 Dec 2018
Learning Speaker Representations with Mutual Information Mirco Ravanelli Yoshua Bengio SSL DRL 16 91 0 01 Dec 2018
Formal Limitations on the Measurement of Mutual Information David A. McAllester K. Stratos SSL 20 274 0 10 Nov 2018
CariGAN: Caricature Generation through Weakly Paired Adversarial Learning Wenbin Li Wei Xiong Haofu Liao Jing Huo Yang Gao Jiebo Luo GAN 30 44 0 01 Nov 2018
Excessive Invariance Causes Adversarial Vulnerability J. Jacobsen Jens Behrmann R. Zemel Matthias Bethge AAML 24 166 0 01 Nov 2018
Estimating Information Flow in Deep Neural Networks Ziv Goldfeld E. Berg Kristjan Greenewald Igor Melnyk Nam H. Nguyen Brian Kingsbury Yury Polyanskiy 25 32 0 12 Oct 2018
Monte Carlo Dependency Estimation Edouard Fouché Klemens Böhm 16 4 0 04 Oct 2018
EMI: Exploration with Mutual Information Hyoungseok Kim Jaekyeom Kim Yeonwoo Jeong Sergey Levine Hyun Oh Song 11 5 0 02 Oct 2018
NEXUS Network: Connecting the Preceding and the Following in Dialogue Generation Hui Su Xiaoyu Shen Wenjie Li Dietrich Klakow 28 30 0 27 Sep 2018
Semantic Information G Theory and Logical Bayesian Inference for Machine Learning Chenguang Lu VLM 18 21 0 03 Sep 2018
Representation Learning with Contrastive Predictive Coding Aaron van den Oord Yazhe Li Oriol Vinyals DRL SSL 9 10,013 0 10 Jul 2018
Guaranteed Deterministic Bounds on the Total Variation Distance between Univariate Mixtures Frank Nielsen Ke Sun 13 10 0 29 Jun 2018
Mutual Information Maximization for Simple and Accurate Part-Of-Speech Induction K. Stratos 24 26 0 20 Apr 2018
Understanding Neural Networks and Individual Neuron Importance via Information-Ordered Cumulative Ablation Rana Ali Amjad Kairen Liu Bernhard C. Geiger FAtt 19 18 0 18 Apr 2018
GILBO: One Metric to Measure Them All Alexander A. Alemi Ian S. Fischer DRL 11 16 0 13 Feb 2018
Layer-wise Learning of Stochastic Neural Networks with Information Bottleneck Thanh T. Nguyen Jaesik Choi 20 13 0 04 Dec 2017
Parametric Adversarial Divergences are Good Losses for Generative Modeling Gabriel Huang Hugo Berard Ahmed Touati Gauthier Gidel Pascal Vincent Simon Lacoste-Julien GAN 18 1 0 08 Aug 2017
Ensemble Estimation of Generalized Mutual Information with Applications to Genomics Kevin R. Moon K. Sricharan Alfred Hero 15 9 0 27 Jan 2017