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20202023
most citedTraining with Multi-Layer Embeddings for Model Reduction

5 citations · 5 across the 3 of their papers we have counts for

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cs.IR2022

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…