A Thorough Performance Benchmarking on Lightweight Embedding-based Recommender Systems

25 June 2024

Papers citing "A Thorough Performance Benchmarking on Lightweight Embedding-based Recommender Systems"

5 / 5 papers shown

Title
MultiBiSage: A Web-Scale Recommendation System Using Multiple Bipartite Graphs at Pinterest Saket Gurukar Nikil Pancha Andrew Zhai Eric Kim Samson Hu Srinivas Parthasarathy Charles R. Rosenberg J. Leskovec 54 13 0 21 May 2022
Sparsity in Deep Learning: Pruning and growth for efficient inference and training in neural networks Torsten Hoefler Dan Alistarh Tal Ben-Nun Nikoli Dryden Alexandra Peste MQ 128 679 0 31 Jan 2021
Learnable Embedding Sizes for Recommender Systems Siyi Liu Chen Gao Yihong Chen Depeng Jin Yong Li 52 70 0 19 Jan 2021
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 31 67 0 21 Oct 2020
Categorical Reparameterization with Gumbel-Softmax Eric Jang S. Gu Ben Poole BDL 69 4,781 0 03 Nov 2016