Chun Sik Chan

A Comparative Study of Faithfulness Metrics for Model Interpretability Methods

Interpretable methods to reveal the internal reasoning processes behind machine learning models have attracted increasing attention in recent years. To quantify the extent to which the identified interpretations truly reflect the intrinsic decision-making mechanisms, various faithfulness evaluation…