Javier Andréu-Pérez

Hypernetworks for Dynamic Feature Selection

This paper proposes a hypernetwork-based DFS approach that generates feature subset-specific classifier parameters on demand, and shows stronger zero-shot generalisation to feature subsets never seen during training than existing DFS approaches.