Daan Le - 11329866 - [email protected]
Mathieu Bartels - 11329521 - [email protected]
David Wessels - 11323272 - [email protected]
Laurence Bont - 11198788 - [email protected]

To get all dependencies for this paper use pipenv or conda

pip install pipenv
pipenv shell
pipenv sync

Now al packages needed for this project are installed!

For these experiments to run efficiently it is advised to download the pre-trained models and pre adjusted datasets.

unpack the datasets in the 'dataset' folder
pixel_perbutation roar extra-test

unpack the models in the saved-models folder models

Please note that once these links have expired the data cannot be fetched anymore! Please reach out to [email protected] if you want to gain acces to the data.

Look at some examples in the .ipynb or run

python main.py --experiment [roar|extra|pixel_perturbation]

This project is based on a paper. Make sure to check out this paper, and the original github!

Full-Gradient Saliency Maps

@inproceedings{srinivas2019fullgrad,
    title={Full-Gradient Representation for Neural Network Visualization},
    author={Srinivas, Suraj and Fleuret, François},
    booktitle={Advances in Neural Information Processing Systems (NeurIPS)},
    year={2019}
}