$The trade-offs of model size in large recommendation models : A 10000 $\times$ compressed criteo-tb DLRM model (100 GB parameters to mere 10MB)$

The trade-offs of model size in large recommendation models : A 10000 $\times$ compressed criteo-tb DLRM model (100 GB parameters to mere 10MB)

21 July 2022

Anshumali Shrivastava

Papers citing "The trade-offs of model size in large recommendation models : A 10000 $\times$ compressed criteo-tb DLRM model (100 GB parameters to mere 10MB)"

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Title
Review of compressed embedding layers and their applications for recommender systems Tamás Hajgató 90 0 0 23 Jun 2023
Differentiable Neural Input Search for Recommender Systems Weiyu Cheng Yanyan Shen Linpeng Huang 156 38 0 08 Jun 2020

Title

23 Jun 2023

156

08 Jun 2020