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The challenge of assigning importance to individual neurons in a network is of interest when interpreting deep learning models.
"why should I trust you?": Explaining the predictions of any classifier
Marco Túlio Ribeiro, Sameer Singh, and Carlos Guestrin · 2016
Earlier work this paper cites.
Interpreting neural network classifications with variational dropout saliency maps
Chun-Hao Chang, Elliot Creager, Anna Goldenberg, and David Duvenaud · 2017
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Maximum entropy methods for extracting the learned features of deep neural networks
Alex Finnegan and Jun S Song · 2017
Earlier work this paper cites.
Learning how to explain neural networks: PatternNet and PatternAttribution
Pieter-Jan Kindermans, Kristof T Schütt, Maximilian Alber, Klaus-Robert Müller, Dumitru Erhan, Been Kim, and Sven Dähne · 2017
Earlier work this paper cites.
A unified approach to interpreting model predictions
Scott Lundberg and Su-In Lee · 2017
Earlier work this paper cites.
Wojciech Samek, Thomas Wiegand, and Klaus-Robert Müller · 2017
Cited alongside, same era.
Learning important features through propagating activation differences
Avanti Shrikumar, Peyton Greenside, and Anshul Kundaje · 2017
Cited alongside, same era.
Axiomatic attribution for deep networks
Mukund Sundararajan, Ankur Taly, and Qiqi Yan · 2017
Cited alongside, same era.
Visualizing deep neural network decisions: Prediction difference analysis
Luisa M. Zintgraf, Taco S. Cohen, Tameem Adel, and Max Welling · 2017
Cited alongside, same era.
A unified view of gradient-based attribution methods for deep neural networks
Marco Ancona, Enea Ceolini, A. Cengiz Öztireli, and Markus H. Gross · 2018
Cited alongside, same era.
Learning to explain: An information-theoretic perspective on model interpretation
Jianbo Chen, Le Song, Martin Wainwright, and Michael Jordan · 2018
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Kedar Dhamdhere, Mukund Sundararajan, and Qiqi Yan · 2018
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Maximizing invariant data perturbation with stochastic optimization
Kouichi Ikeno and Satoshi Hara · 2018
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Influence-directed explanations for deep convolutional networks
Klas Leino, Linyi Li, Shayak Sen, Anupam Datta, and Matt Fredrikson · 2018
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