On Variational Bounds of Mutual Information

16 May 2019

Papers citing "On Variational Bounds of Mutual Information"

22 / 172 papers shown

Title
Predictive Information Accelerates Learning in RL Kuang-Huei Lee Ian S. Fischer Anthony Z. Liu Yijie Guo Honglak Lee John F. Canny S. Guadarrama 20 72 0 24 Jul 2020
Efficient Empowerment Estimation for Unsupervised Stabilization Ruihan Zhao Kevin Lu Pieter Abbeel Stas Tiomkin 21 8 0 14 Jul 2020
Bootstrap your own latent: A new approach to self-supervised Learning Jean-Bastien Grill Florian Strub Florent Altché Corentin Tallec Pierre Harvey Richemond ... M. G. Azar Bilal Piot Koray Kavukcuoglu Rémi Munos Michal Valko SSL 122 6,655 0 13 Jun 2020
Unbiased Auxiliary Classifier GANs with MINE Ligong Han Anastasis Stathopoulos Tao Xue Dimitris N. Metaxas 12 13 0 13 Jun 2020
Neural Estimators for Conditional Mutual Information Using Nearest Neighbors Sampling Sina Molavipour Germán Bassi Mikael Skoglund 22 8 0 12 Jun 2020
Deep Reinforcement and InfoMax Learning Bogdan Mazoure Rémi Tachet des Combes T. Doan Philip Bachman R. Devon Hjelm AI4CE 25 108 0 12 Jun 2020
What Makes for Good Views for Contrastive Learning? Yonglong Tian Chen Sun Ben Poole Dilip Krishnan Cordelia Schmid Phillip Isola SSL 39 1,307 0 20 May 2020
Mutual Information Gradient Estimation for Representation Learning Liangjiang Wen Yiji Zhou Lirong He Mingyuan Zhou Zenglin Xu DRL SSL 33 27 0 03 May 2020
Unpacking Information Bottlenecks: Unifying Information-Theoretic Objectives in Deep Learning Andreas Kirsch Clare Lyle Y. Gal 27 16 0 27 Mar 2020
On Information Plane Analyses of Neural Network Classifiers -- A Review Bernhard C. Geiger 32 50 0 21 Mar 2020
Predictive Coding for Locally-Linear Control Rui Shu Tung D. Nguyen Yinlam Chow Tu Pham Khoat Than Mohammad Ghavamzadeh Stefano Ermon Hung Bui OffRL BDL 34 24 0 02 Mar 2020
Unsupervised Discovery, Control, and Disentanglement of Semantic Attributes with Applications to Anomaly Detection William Paul I-J. Wang F. Alajaji Philippe Burlina DiffM DRL 21 6 0 25 Feb 2020
Bayesian Experimental Design for Implicit Models by Mutual Information Neural Estimation Steven Kleinegesse Michael U. Gutmann 26 64 0 19 Feb 2020
The Conditional Entropy Bottleneck Ian S. Fischer OOD 27 115 0 13 Feb 2020
On Contrastive Learning for Likelihood-free Inference Conor Durkan Iain Murray George Papamakarios BDL 45 117 0 10 Feb 2020
Information in Infinite Ensembles of Infinitely-Wide Neural Networks Ravid Shwartz-Ziv Alexander A. Alemi 19 21 0 20 Nov 2019
Information-Theoretic Generalization Bounds for SGLD via Data-Dependent Estimates Jeffrey Negrea Mahdi Haghifam Gintare Karolina Dziugaite Ashish Khisti Daniel M. Roy FedML 113 147 0 06 Nov 2019
Unsupervised State Representation Learning in Atari Ankesh Anand Evan Racah Sherjil Ozair Yoshua Bengio Marc-Alexandre Côté R. Devon Hjelm SSL 44 254 0 19 Jun 2019
Contrastive Multiview Coding Yonglong Tian Dilip Krishnan Phillip Isola SSL 67 2,367 0 13 Jun 2019
Learning Representations by Maximizing Mutual Information Across Views Philip Bachman R. Devon Hjelm William Buchwalter SSL 72 1,455 0 03 Jun 2019
Exact Rate-Distortion in Autoencoders via Echo Noise Rob Brekelmans Daniel Moyer Aram Galstyan Greg Ver Steeg 22 17 0 15 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