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The purported "black box" nature of neural networks is a barrier to adoption in applications where interpretability is essential.
The mnist database of handwritten digits
LeCun, Yann, Cortes, Corinna, and Burges, Christopher J.C · 1999
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Deep inside convolutional networks: Visualising image classification models and saliency maps
Simonyan, Karen, Vedaldi, Andrea, and Zisserman, Andrew · 2013
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Visualizing and understanding convolutional networks
Zeiler, Matthew D. and Fergus, Rob · 2013
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Systematic discovery and characterization of regulatory motifs in encode tf binding experiments
Kheradpour, Pouya and Kellis, Manolis · 2014
Earlier work this paper cites.
Striving for simplicity: The all convolutional net
Springenberg, Jost Tobias, Dosovitskiy, Alexey, Brox, Thomas, and Riedmiller, Martin A · 2014
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On Pixel-Wise explanations for Non-Linear classifier decisions by Layer-Wise relevance propagation
Bach, Sebastian, Binder, Alexander, Montavon, Grégoire, Klauschen, Frederick, Müller, Klaus-Robert, and Samek, Wojciech · 2015
Cited alongside, same era.
Predicting effects of noncoding variants with deep learning-based sequence model
Zhou, Jian and Troyanskaya, Olga G · 2015
Cited alongside, same era.
Investigating the influence of noise and distractors on the interpretation of neural networks
Kindermans, Pieter-Jan, Schütt, Kristof, Müller, Klaus-Robert, and Dähne, Sven · 2016
Cited alongside, same era.
An unexpected unity among methods for interpreting model predictions
Lundberg, Scott and Lee, Su-In · 2016
Cited alongside, same era.
Selvaraju, Ramprasaath R., Das, Abhishek, Vedantam, Ramakrishna, Cogswell, Michael, Parikh, Devi, and Batra, Dhruv · 2016
Later among the works it cites.
Not just a black box: Learning important features through propagating activation differences
Shrikumar, Avanti, Greenside, Peyton, Shcherbina, Anna, and Kundaje, Anshul · 2016
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Sundararajan, Mukund, Taly, Ankur, and Yan, Qiqi · 2016
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Visualizing deep neural network decisions: Prediction difference analysis
Zintgraf, Luisa M, Cohen, Taco S, Adel, Tameem, and Welling, Max · 2017
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