Fine-Grained Embedding Dimension Optimization During Training for Recommender Systems

9 January 2024

Papers citing "Fine-Grained Embedding Dimension Optimization During Training for Recommender Systems"

3 / 3 papers shown

Title
RecShard: Statistical Feature-Based Memory Optimization for Industry-Scale Neural Recommendation Geet Sethi Bilge Acun Niket Agarwal Christos Kozyrakis Caroline Trippel Carole-Jean Wu 39 66 0 25 Jan 2022
Learnable Embedding Sizes for Recommender Systems Siyi Liu Chen Gao Yihong Chen Depeng Jin Yong Li 52 82 0 19 Jan 2021
Distributed Hierarchical GPU Parameter Server for Massive Scale Deep Learning Ads Systems Weijie Zhao Deping Xie Ronglai Jia Yulei Qian Rui Ding Mingming Sun P. Li MoE 57 150 0 12 Mar 2020