Combining Counterfactuals With Shapley Values To Explain Image Models. (arXiv:2206.07087v1 [cs.LG])

Web: http://arxiv.org/abs/2206.07087

With the widespread use of sophisticated machine learning models in sensitive
applications, understanding their decision-making has become an essential task.
Models trained on tabular data have witnessed significant progress in
explanations of their underlying decision making processes by virtue of having
a small number of discrete features. However, applying these methods to
high-dimensional inputs such as images is not a trivial task. Images are
composed of pixels at an atomic level and do not carry any interpretability by
themselves. In …

arxiv image lg models values