Explaining Neural Models for Image Classification
MTQ315 Seminar Course Project
Please see presentation.pdf and report.pdf for an introduction and further details.
To setup the environment use:
conda env create -f env.yaml
The code / experiments / results are available in jupyter notebooks of the form {METHOD}_{DATASET}.ipynb, where METHOD is shap, cf, and cfproto for SHAP explanations, simple counterfactuals and prototype-guided counterfactuals respectively and {DATASET} is mnist and fmnist for MNIST and Fashion MNIST respectively.