The effectiveness of feature attribution methods and its correlation with automatic evaluation scores
Abstract
Explaining the decisions of an Artificial Intelligence (AI) model is increasingly critical in many real-world, high-stake applications. Hundreds of papers have either proposed new feature attribution methods, discussed or harnessed these tools in their work. However, despite humans being the target end-users, most attribution methods were only evaluated on proxy automatic-evaluation metrics. In this paper, we conduct the first, large-scale user...
Paper Details
Title
The effectiveness of feature attribution methods and its correlation with automatic evaluation scores
Published Date
May 31, 2021
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