Understanding-age-gender-deep-learning-models

Institutions: Fraunhofer Heinrich Hertz Institute, TU Berli

Authors: Sebastian Lapuschkin, Alexander Binder, Klaus-Robert Muller, Wojciech Samek

Publication:

Understanding and Comparing Deep Neural Networks

Source Code:

https://github.com/sebastian-lapuschkin/understanding-age-gender-deep-learning-models

iNNvestigate neural networks

Institutions: TU Berlin, Fraunhofer Heinrich Hertz Institut

Authors: Maximilian Alber, Sebastian Lapuschkin, Philipp Seegerer, Miriam Hägele, Kristof T. Schütt, Grégoire Montavon, Wojciech Samek, Klaus-Robert Müller, Sven Dähne, Pieter-Jan Kindermans

Publication:

iNNvestigate neural networks!

Source Code:

https://github.com/albermax/innvestigate

Further Info:

https://innvestigate.readthedocs.io/en/latest/

Network Dissection

Institutions: MIT

Authors: David Bau, Bolei Zhou, Aditya Khosla, Aude Oliva, Antonio Torralba

Publication:

Network Dissection: Quantifying Interpretability of Deep Visual Representations

Source Code:

https://github.com/CSAILVision/NetDissect

Further Info:

http://netdissect.csail.mit.edu/co

PatternNet and PatternAttribution

Institutions: Google Brain, TU Berlin

Authors: Pieter-Jan Kindermans, Kristof T. Schutt & Maximilian Alber, K-R. Müller, Dumitru Erhan & Been Kim, Sven Dahne

Publication:

LEARNING HOW TO EXPLAIN NEURAL NETWORKS: PATTERNNET AND PATTERNATTRIBUTION

Source Code:

https://openreview.net/pdf?id=Hkn7CBaTW