2022
XAI for Transformers: Better Explanations through Conservative Propagation
ICML 2022spotlight
Transformers have become an important workhorse of machine learning, with numerous applications. This necessitates the development of reliable methods for increasing their transparency. Multiple interpretability methods, often based on gradient information, have been proposed. We show that the gradi…