Evaluating the visualization of what a Deep Neural Network has learned

Evaluating the visualization of what a Deep Neural Network has learned

21 September 2015

Alexander Binder

Sebastian Lapuschkin

Papers citing "Evaluating the visualization of what a Deep Neural Network has learned"

10 / 510 papers shown

Title
Object Boundary Detection and Classification with Image-level Labels Jing Yu Koh Wojciech Samek K. Müller Alexander Binder 11 0 0 29 Jun 2016
Explaining Predictions of Non-Linear Classifiers in NLP L. Arras F. Horn G. Montavon K. Müller Wojciech Samek FAtt 13 117 0 23 Jun 2016
Identifying individual facial expressions by deconstructing a neural network F. Arbabzadah G. Montavon K. Müller Wojciech Samek CVBM FAtt 24 31 0 23 Jun 2016
Interpretable Deep Neural Networks for Single-Trial EEG Classification I. Sturm Sebastian Bach Wojciech Samek K. Müller 16 353 0 27 Apr 2016
Layer-wise Relevance Propagation for Neural Networks with Local Renormalization Layers Alexander Binder G. Montavon Sebastian Lapuschkin K. Müller Wojciech Samek FAtt 20 453 0 04 Apr 2016
Controlling Explanatory Heatmap Resolution and Semantics via Decomposition Depth Sebastian Bach Alexander Binder K. Müller Wojciech Samek FAtt 18 24 0 21 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 6 323 0 11 Feb 2016
Explaining NonLinear Classification Decisions with Deep Taylor Decomposition G. Montavon Sebastian Lapuschkin Alexander Binder Wojciech Samek Klaus-Robert Muller FAtt 10 727 0 08 Dec 2015
Analyzing Classifiers: Fisher Vectors and Deep Neural Networks Sebastian Bach Alexander Binder G. Montavon K. Müller Wojciech Samek 21 198 0 01 Dec 2015
A Century of Portraits: A Visual Historical Record of American High School Yearbooks Shiry Ginosar Kate Rakelly Sarah Sachs Brian Yin Crystal Lee Philipp Krahenbuhl Alexei A. Efros 15 113 0 09 Nov 2015