A PyTorch implementation of the framework introduced by Jianbo et al. in Learning to Explain: An Information-Theoretic Perspective on Model Interpretationo. Original code developed with TensorFlow can be found here.
-
Notifications
You must be signed in to change notification settings - Fork 0
FranciscoPereira9/L2X_PyTorch
About
A PyTorch implementation of the L2X framework, an instance-wise feature selection method for interpretability of Deep Learning models.
Resources
Stars
Watchers
Forks
Releases
No releases published