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

28 March 2022

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

4 / 4 papers shown

Title
Clustering the Sketch: A Novel Approach to Embedding Table Compression Henry Ling-Hei Tsang Thomas Dybdahl Ahle 30 1 0 12 Oct 2022
Learning to Embed Categorical Features without Embedding Tables for Recommendation Wang-Cheng Kang D. Cheng Tiansheng Yao Xinyang Yi Ting-Li Chen Lichan Hong Ed H. Chi LMTD CML DML 45 68 0 21 Oct 2020
Deep Learning Training in Facebook Data Centers: Design of Scale-up and Scale-out Systems Maxim Naumov John Kim Dheevatsa Mudigere Srinivas Sridharan Xiaodong Wang ... Krishnakumar Nair Isabel Gao Bor-Yiing Su Jiyan Yang M. Smelyanskiy GNN 41 83 0 20 Mar 2020
Large scale distributed neural network training through online distillation Rohan Anil Gabriel Pereyra Alexandre Passos Róbert Ormándi George E. Dahl Geoffrey E. Hinton FedML 272 404 0 09 Apr 2018