2021
Learning to Explain: Generating Stable Explanations Fast
ACL 2021long
The importance of explaining the outcome of a machine learning model, especially a black-box model, is widely acknowledged. Recent approaches explain an outcome by identifying the contributions of input features to this outcome. In environments involving large black-box models or complex inputs, thi…