Sina Mohseni

Quantitative Evaluation of Machine Learning Explanations: A Human-Grounded Benchmark

Research in interpretable machine learning proposes different approaches to evaluate model saliency or attribution explanations. These approaches measure different qualities of explanations to achieve divers goals in designing interpretable machine learning systems. In this paper, we propose an online available human…