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Towards Interrogating Discriminative Machine Learning Models

Towards Interrogating Discriminative Machine Learning Models

23 May 2017
Wenbo Guo
Kaixuan Zhang
Lin Lin
Sui Huang
Masashi Sugiyama
    FaML
ArXiv (abs)PDFHTML

Papers citing "Towards Interrogating Discriminative Machine Learning Models"

4 / 4 papers shown
Title
Understanding Neural Networks through Representation Erasure
Understanding Neural Networks through Representation Erasure
Jiwei Li
Will Monroe
Dan Jurafsky
AAMLMILM
105
567
0
24 Dec 2016
Gradients of Counterfactuals
Gradients of Counterfactuals
Mukund Sundararajan
Ankur Taly
Qiqi Yan
FAtt
96
104
0
08 Nov 2016
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
4,683
0
21 Dec 2014
Deep Inside Convolutional Networks: Visualising Image Classification
  Models and Saliency Maps
Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps
Karen Simonyan
Andrea Vedaldi
Andrew Zisserman
FAtt
317
7,321
0
20 Dec 2013
1