An Information-theoretic Visual Analysis Framework for Convolutional
Neural Networks

An Information-theoretic Visual Analysis Framework for Convolutional Neural Networks

2 May 2020

Han-Wei Shen

Papers citing "An Information-theoretic Visual Analysis Framework for Convolutional Neural Networks"

6 / 6 papers shown

Title
A Survey of the Recent Architectures of Deep Convolutional Neural Networks Asifullah Khan A. Sohail Umme Zahoora Aqsa Saeed Qureshi OOD 87 2,286 0 17 Jan 2019
UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction Leland McInnes John Healy James Melville 86 9,312 0 09 Feb 2018
Interpretable Explanations of Black Boxes by Meaningful Perturbation Ruth C. Fong Andrea Vedaldi FAtt AAML 30 1,514 0 11 Apr 2017
Towards Better Analysis of Deep Convolutional Neural Networks Mengchen Liu Jiaxin Shi Zerui Li Chongxuan Li Jun Zhu Shixia Liu HAI 62 473 0 24 Apr 2016
Deep Learning and the Information Bottleneck Principle Naftali Tishby Noga Zaslavsky DRL 98 1,570 0 09 Mar 2015
Visualizing and Understanding Convolutional Networks Matthew D. Zeiler Rob Fergus FAtt SSL 208 15,825 0 12 Nov 2013

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