Feature Importance Ranking for Deep Learning

1 code implementation • NeurIPS 2020 • Maksymilian Wojtas, Ke Chen

During learning, the operator is trained for a supervised learning task via optimal feature subset candidates generated by the selector that learns predicting the learning performance of the operator working on different optimal subset candidates.

Combinatorial Optimization Feature Importance +1