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Demon: Improved Neural Network Training with Momentum Decay

Demon: Improved Neural Network Training with Momentum Decay

11 October 2019
John Chen
Cameron R. Wolfe
Zhaoqi Li
Anastasios Kyrillidis
    ODL
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Papers citing "Demon: Improved Neural Network Training with Momentum Decay"

5 / 5 papers shown
Title
Better Schedules for Low Precision Training of Deep Neural Networks
Better Schedules for Low Precision Training of Deep Neural Networks
Cameron R. Wolfe
Anastasios Kyrillidis
45
1
0
04 Mar 2024
FAIR-FATE: Fair Federated Learning with Momentum
FAIR-FATE: Fair Federated Learning with Momentum
Teresa Salazar
Miguel X. Fernandes
Helder Araújo
Pedro Abreu
FedML
32
18
0
27 Sep 2022
Quasi-hyperbolic momentum and Adam for deep learning
Quasi-hyperbolic momentum and Adam for deep learning
Jerry Ma
Denis Yarats
ODL
76
129
0
16 Oct 2018
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language
  Understanding
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding
Alex Jinpeng Wang
Amanpreet Singh
Julian Michael
Felix Hill
Omer Levy
Samuel R. Bowman
ELM
297
6,956
0
20 Apr 2018
A disciplined approach to neural network hyper-parameters: Part 1 --
  learning rate, batch size, momentum, and weight decay
A disciplined approach to neural network hyper-parameters: Part 1 -- learning rate, batch size, momentum, and weight decay
L. Smith
205
1,019
0
26 Mar 2018
1