no code implementations • ICLR 2021 • Alaa Maalouf, Harry Lang, Daniela Rus, Dan Feldman
Based on this approach, we provide a novel architecture that replaces the original embedding layer by a set of $k$ small layers that operate in parallel and are then recombined with a single fully-connected layer.
2 code implementations • ICLR 2020 • Lucas Liebenwein, Cenk Baykal, Harry Lang, Dan Feldman, Daniela Rus
We present a provable, sampling-based approach for generating compact Convolutional Neural Networks (CNNs) by identifying and removing redundant filters from an over-parameterized network.