Machine learning (ML) models that achieve high average accuracy can stil...
We introduce SpotCheck, a framework for generating synthetic datasets to...
While several types of post hoc explanation methods (e.g., feature
attri...
A growing body of research runs human subject evaluations to study wheth...
As attribution-based explanation methods are increasingly used to establ...
Machine learning models that utilize patient data across time (rather th...