A Baseline for Shapley Values in MLPs: from Missingness to Neutrality

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A Baseline for Shapley Values in MLPs: from Missingness to Neutrality

8 June 2020

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Papers citing "A Baseline for Shapley Values in MLPs: from Missingness to Neutrality"

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Title
A Benchmark for Interpretability Methods in Deep Neural Networks Sara Hooker D. Erhan Pieter-Jan Kindermans Been Kim FAtt UQCV 125 683 0 28 Jun 2018
Learning Important Features Through Propagating Activation Differences Avanti Shrikumar Peyton Greenside A. Kundaje FAtt 203 3,883 0 10 Apr 2017
Axiomatic Attribution for Deep Networks Mukund Sundararajan Ankur Taly Qiqi Yan OOD FAtt 193 6,024 0 04 Mar 2017
European Union regulations on algorithmic decision-making and a "right to explanation" B. Goodman Seth Flaxman FaML AILaw 67 1,903 0 28 Jun 2016
Visualizing and Understanding Convolutional Networks Matthew D. Zeiler Rob Fergus FAtt SSL 600 15,907 0 12 Nov 2013