PI: Dejing Dou
The goal of this project is to evaluate contemporary techniques for deep learning model explanations and utilize DL Explanation approach for improving model interpretability.
- Utilizing feature importance methods
for dimensionality reduction and
- Generating representations of the
latent feature space of a model via
- User survey to evaluate
interpretability of class specific label