AutoEmb is about using different lenghts of embedding vectors for different items,
use less memory + potentially learn more robust stuff for items with less data, and learn
more nuanced stuff for popular items.
Read full paper: https://arxiv.org/abs/2002.11252
Tags: Deep Learning, Recommender Systems, Optimization