Machine learning interpretability with feature attribution
A review of feature attribution, a technique to interpret model predictions. First, it reviews commonly-used feature attribution methods, then demonstrates f...
explainability
Exploring SHAP explanations for image classification
How to interpret predictions of an image classification neural network using SHAP.
Explainability: end-users considerations
If we assume that explaining to the end-users how a machine learning (ML) model makes its predictions increases their trust on that model, the question is th...