论文阅读：Evaluating explanation without ground truth in interpretable machine learning0 Abstract1 Introduction2 Explanation and Evaluation3 Evaluation Review4 Discussion and Exploration
https://arxiv.org/abs/1907.06831Yang F, Du M, Hu X. Evaluating explanation without ground truth in interpretable machine learning[J]. arXiv preprint arXiv:1907.06831, 2019.0 Abstract可解释机器学习（IML）在许多现实世界的应用中变得越来越重要，例如自动驾驶汽车和医疗诊断，在这些应用中，解释可以帮助人们更好地理解机.
