Energy Model-based Accurate Shapley Value Estimation for Interpretable Deep Learning Predictive Modelling

arXiv:2404.01078v1 Announce Type: new
Abstract: As a favorable tool for explainable artificial intelligence (XAI), Shapley value has been widely used to interpret deep learning based predictive models. However, accurate and efficient estimation of Shapley value is a difficult task since the computation load grows exponentially with the increase of input features. Most existing accelerated Shapley value estimation methods have to compromise on estimation accuracy with efficiency. In this article, we present EmSHAP(Energy model-based Shapley value estimation), which can effectively approximate …

abstract artificial artificial intelligence arxiv computation cs.lg deep learning energy explainable artificial intelligence however intelligence modelling predictive predictive models tool type value xai