Learning to Collide: Recommendation System Model Compression with Learned Hash Functions

Benjamin Ghaemmaghami, Mustafa Ozdal, Rakesh Komuravelli +4

A key characteristic of deep recommendation models is the immense memory requirements of their embedding tables. These embedding tables can often reach hundreds of gigabytes which…