v1v2v3 (latest)

Understanding Autoencoders with Information Theoretic Concepts

30 March 2018

Papers citing "Understanding Autoencoders with Information Theoretic Concepts"

31 / 31 papers shown

Title
Multivariate Extension of Matrix-based Renyi's α-order Entropy Functional Shujian Yu L. S. Giraldo Robert Jenssen José C. Príncipe 58 30 0 23 Aug 2018
Understanding Deep Learning Generalization by Maximum Entropy Guanhua Zheng Jitao Sang Changsheng Xu 31 12 0 21 Nov 2017
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms Han Xiao Kashif Rasul Roland Vollgraf 285 8,928 0 25 Aug 2017
Interpreting CNN Knowledge via an Explanatory Graph Quanshi Zhang Ruiming Cao Feng Shi Ying Nian Wu Song-Chun Zhu FAtt GNN SSL 66 242 0 05 Aug 2017
Estimating Mixture Entropy with Pairwise Distances Artemy Kolchinsky Brendan D. Tracey OT 54 130 0 08 Jun 2017
Information-theoretic analysis of generalization capability of learning algorithms Aolin Xu Maxim Raginsky 194 448 0 22 May 2017
Opening the Black Box of Deep Neural Networks via Information Ravid Shwartz-Ziv Naftali Tishby AI4CE 115 1,419 0 02 Mar 2017
An Introduction to Deep Learning for the Physical Layer Tim O'Shea J. Hoydis AI4CE 155 2,203 0 02 Feb 2017
Understanding deep learning requires rethinking generalization Chiyuan Zhang Samy Bengio Moritz Hardt Benjamin Recht Oriol Vinyals HAI 351 4,636 0 10 Nov 2016
Understanding intermediate layers using linear classifier probes Guillaume Alain Yoshua Bengio FAtt 175 958 0 05 Oct 2016
Why does deep and cheap learning work so well? Henry W. Lin Max Tegmark David Rolnick 93 610 0 29 Aug 2016
Flow of Information in Feed-Forward Deep Neural Networks P. Khadivi Ravi Tandon Naren Ramakrishnan HAI 41 18 0 20 Mar 2016
Multifaceted Feature Visualization: Uncovering the Different Types of Features Learned By Each Neuron in Deep Neural Networks Anh Totti Nguyen J. Yosinski Jeff Clune 97 330 0 11 Feb 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.3K 194,510 0 10 Dec 2015
Evaluating the visualization of what a Deep Neural Network has learned Wojciech Samek Alexander Binder G. Montavon Sebastian Lapuschkin K. Müller XAI 139 1,200 0 21 Sep 2015
Understanding Neural Networks Through Deep Visualization J. Yosinski Jeff Clune Anh Totti Nguyen Thomas J. Fuchs Hod Lipson FAtt AI4CE 126 1,875 0 22 Jun 2015
Why Regularized Auto-Encoders learn Sparse Representation? Devansh Arpit Yingbo Zhou H. Ngo V. Govindaraju 68 68 0 21 May 2015
Deep Learning and the Information Bottleneck Principle Naftali Tishby Noga Zaslavsky DRL 220 1,595 0 09 Mar 2015
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift Sergey Ioffe Christian Szegedy OOD 467 43,347 0 11 Feb 2015
Understanding Deep Image Representations by Inverting Them Aravindh Mahendran Andrea Vedaldi FAtt 131 1,968 0 26 Nov 2014
Efficient Estimation of Mutual Information for Strongly Dependent Variables Shuyang Gao Greg Ver Steeg Aram Galstyan 113 199 0 07 Nov 2014
An exact mapping between the Variational Renormalization Group and Deep Learning Pankaj Mehta D. Schwab AI4CE 99 312 0 14 Oct 2014
How Auto-Encoders Could Provide Credit Assignment in Deep Networks via Target Propagation Yoshua Bengio 121 185 0 29 Jul 2014
On the Number of Linear Regions of Deep Neural Networks Guido Montúfar Razvan Pascanu Kyunghyun Cho Yoshua Bengio 96 1,256 0 08 Feb 2014
Rate-Distortion Auto-Encoders L. S. Giraldo José C. Príncipe 64 13 0 28 Dec 2013
On the number of response regions of deep feed forward networks with piece-wise linear activations Razvan Pascanu Guido Montúfar Yoshua Bengio FAtt 124 257 0 20 Dec 2013
Visualizing and Understanding Convolutional Networks Matthew D. Zeiler Rob Fergus FAtt SSL 603 15,907 0 12 Nov 2013
Speech Recognition with Deep Recurrent Neural Networks Alex Graves Abdel-rahman Mohamed Geoffrey E. Hinton 230 8,529 0 22 Mar 2013
Measures of Entropy from Data Using Infinitely Divisible Kernels Luis G. Sanchez Giraldo M. Rao José C. Príncipe 94 126 0 11 Nov 2012
Better Mixing via Deep Representations Yoshua Bengio Grégoire Mesnil Yann N. Dauphin Salah Rifai 81 341 0 18 Jul 2012
A scale-based approach to finding effective dimensionality in manifold learning Xiaohui Wang J. S. Marron 103 19 0 29 Oct 2007