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A Forward-Backward Approach for Visualizing Information Flow in Deep
  Networks

A Forward-Backward Approach for Visualizing Information Flow in Deep Networks

16 November 2017
Aditya Balu
THANH VAN NGUYEN
Apurva Kokate
Chinmay Hegde
Soumik Sarkar
    FAtt
ArXiv (abs)PDFHTML

Papers citing "A Forward-Backward Approach for Visualizing Information Flow in Deep Networks"

4 / 4 papers shown
Title
Learning Important Features Through Propagating Activation Differences
Learning Important Features Through Propagating Activation Differences
Avanti Shrikumar
Peyton Greenside
A. Kundaje
FAtt
203
3,883
0
10 Apr 2017
Gradients of Counterfactuals
Gradients of Counterfactuals
Mukund Sundararajan
Ankur Taly
Qiqi Yan
FAtt
73
104
0
08 Nov 2016
Learning Deep Features for Discriminative Localization
Learning Deep Features for Discriminative Localization
Bolei Zhou
A. Khosla
Àgata Lapedriza
A. Oliva
Antonio Torralba
SSLSSegFAtt
253
9,338
0
14 Dec 2015
Striving for Simplicity: The All Convolutional Net
Striving for Simplicity: The All Convolutional Net
Jost Tobias Springenberg
Alexey Dosovitskiy
Thomas Brox
Martin Riedmiller
FAtt
254
4,681
0
21 Dec 2014
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