https://arxiv.org/abs/2006.09000
We provide Pytorch implementations for our paper How Much Can I Trust You? — Quantifying Uncertainties in Explaining Neural Networks
To be able to run the code properly, please download the imagenet subset data by following link: https://www.dropbox.com/s/hbo7udo721igpnd/imagenet_data.zip?dl=0 and copy the 'imagenet_data' folder to a directory with notebooks
To install requirements:
pip install -r requirements.txt
All experiments were conducted with Python 3.6.9.
Code structure:
5BDEThe code is structured in the following way:
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B-LRP MNIST This notebook consists of the code for visualization of B-LRP method for MNIST
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B-LRP Imagenet This notebook consists of the code for visualization of B-LRP method for Imagenet
To cite this paper use following Bibtex annotation:
@article{bykov2020much,
title={How Much Can I Trust You?--Quantifying Uncertainties in Explaining Neural Networks},
author={Bykov, Kirill and H{\"o}hne, Marina M-C and M{\"u}ller, Klaus-Robert and Nakajima, Shinichi and Kloft, Marius},
journal={arXiv preprint arXiv:2006.09000},
year={2020}
}