Adaptive Dense-to-Sparse Paradigm for Pruning Online Recommendation System with Non-Stationary Data

16 October 2020

Papers citing "Adaptive Dense-to-Sparse Paradigm for Pruning Online Recommendation System with Non-Stationary Data"

5 / 5 papers shown

Title
Enhanced Exploration in Neural Feature Selection for Deep Click-Through Rate Prediction Models via Ensemble of Gating Layers L. Guan Xia Xiao Ming-yue Chen Youlong Cheng 27 1 0 07 Dec 2021
Measuring the Algorithmic Efficiency of Neural Networks Danny Hernandez Tom B. Brown 241 94 0 08 May 2020
What is the State of Neural Network Pruning? Davis W. Blalock Jose Javier Gonzalez Ortiz Jonathan Frankle John Guttag 191 1,027 0 06 Mar 2020
Megatron-LM: Training Multi-Billion Parameter Language Models Using Model Parallelism M. Shoeybi M. Patwary Raul Puri P. LeGresley Jared Casper Bryan Catanzaro MoE 245 1,821 0 17 Sep 2019
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation Yonghui Wu M. Schuster Z. Chen Quoc V. Le Mohammad Norouzi ... Alex Rudnick Oriol Vinyals G. Corrado Macduff Hughes J. Dean AIMat 716 6,746 0 26 Sep 2016