2020
Consistent feature selection for analytic deep neural networks
NeurIPS 2020poster
One of the most important steps toward interpretability and explainability of neural network models is feature selection, which aims to identify the subset of relevant features. Theoretical results in the field have mostly focused on the prediction aspect of the problem with virtually no work on fea…