Review of compressed embedding layers and their applications for recommender systems

Abstract

We review the literature on trainable, compressed embedding layers and discuss their applicability for compressing gigantic neural recommender systems. We also report the results we measured with our compressed embedding layers.

Tasks

Reproductions