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Momentum Centering and Asynchronous Update for Adaptive Gradient Methods

Momentum Centering and Asynchronous Update for Adaptive Gradient Methods

11 October 2021
Juntang Zhuang
Yifan Ding
Tommy M. Tang
Nicha Dvornek
S. Tatikonda
James S. Duncan
    ODL
ArXivPDFHTML

Papers citing "Momentum Centering and Asynchronous Update for Adaptive Gradient Methods"

3 / 3 papers shown
Title
Mini-Hes: A Parallelizable Second-order Latent Factor Analysis Model
Mini-Hes: A Parallelizable Second-order Latent Factor Analysis Model
Jialiang Wang
Weiling Li
Yurong Zhong
Xin Luo
35
0
0
19 Feb 2024
A new regret analysis for Adam-type algorithms
A new regret analysis for Adam-type algorithms
Ahmet Alacaoglu
Yura Malitsky
P. Mertikopoulos
V. Cevher
ODL
48
42
0
21 Mar 2020
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image
  Segmentation
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
Vijay Badrinarayanan
Alex Kendall
R. Cipolla
SSeg
446
15,645
0
02 Nov 2015
1