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Coupling Adaptive Batch Sizes with Learning Rates

Coupling Adaptive Batch Sizes with Learning Rates

15 December 2016
Lukas Balles
Javier Romero
Philipp Hennig
    ODL
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Papers citing "Coupling Adaptive Batch Sizes with Learning Rates"

14 / 14 papers shown
Title
Increasing Both Batch Size and Learning Rate Accelerates Stochastic Gradient Descent
Increasing Both Batch Size and Learning Rate Accelerates Stochastic Gradient Descent
Hikaru Umeda
Hideaki Iiduka
67
2
0
17 Feb 2025
Adaptive Batch Size Schedules for Distributed Training of Language Models with Data and Model Parallelism
Adaptive Batch Size Schedules for Distributed Training of Language Models with Data and Model Parallelism
Tim Tsz-Kit Lau
Weijian Li
Chenwei Xu
Han Liu
Mladen Kolar
147
0
0
30 Dec 2024
Multiple Importance Sampling for Stochastic Gradient Estimation
Multiple Importance Sampling for Stochastic Gradient Estimation
Corentin Salaün
Xingchang Huang
Iliyan Georgiev
Niloy J. Mitra
Gurprit Singh
32
1
0
22 Jul 2024
Shot Optimization in Quantum Machine Learning Architectures to
  Accelerate Training
Shot Optimization in Quantum Machine Learning Architectures to Accelerate Training
Koustubh Phalak
Swaroop Ghosh
36
5
0
21 Apr 2023
Dynamic Batch Adaptation
Dynamic Batch Adaptation
Cristian Simionescu
George Stoica
Robert Herscovici
ODL
19
1
0
01 Aug 2022
Dynamic Hard Pruning of Neural Networks at the Edge of the Internet
Dynamic Hard Pruning of Neural Networks at the Edge of the Internet
Lorenzo Valerio
F. M. Nardini
A. Passarella
R. Perego
12
12
0
17 Nov 2020
Balancing Rates and Variance via Adaptive Batch-Size for Stochastic
  Optimization Problems
Balancing Rates and Variance via Adaptive Batch-Size for Stochastic Optimization Problems
Zhan Gao
Alec Koppel
Alejandro Ribeiro
14
10
0
02 Jul 2020
Dynamically Adjusting Transformer Batch Size by Monitoring Gradient
  Direction Change
Dynamically Adjusting Transformer Batch Size by Monitoring Gradient Direction Change
Hongfei Xu
Josef van Genabith
Deyi Xiong
Qiuhui Liu
6
10
0
05 May 2020
Adaptive Regularization via Residual Smoothing in Deep Learning
  Optimization
Adaptive Regularization via Residual Smoothing in Deep Learning Optimization
Jung-Kyun Cho
Junseok Kwon
Byung-Woo Hong
28
1
0
23 Jul 2019
Adaptive Communication Strategies to Achieve the Best Error-Runtime
  Trade-off in Local-Update SGD
Adaptive Communication Strategies to Achieve the Best Error-Runtime Trade-off in Local-Update SGD
Jianyu Wang
Gauri Joshi
FedML
25
231
0
19 Oct 2018
Continuous-time Models for Stochastic Optimization Algorithms
Continuous-time Models for Stochastic Optimization Algorithms
Antonio Orvieto
Aurelien Lucchi
13
31
0
05 Oct 2018
AdaBatch: Adaptive Batch Sizes for Training Deep Neural Networks
AdaBatch: Adaptive Batch Sizes for Training Deep Neural Networks
Aditya Devarakonda
Maxim Naumov
M. Garland
ODL
19
136
0
06 Dec 2017
Advances in Variational Inference
Advances in Variational Inference
Cheng Zhang
Judith Butepage
Hedvig Kjellström
Stephan Mandt
BDL
38
684
0
15 Nov 2017
Probabilistic Line Searches for Stochastic Optimization
Probabilistic Line Searches for Stochastic Optimization
Maren Mahsereci
Philipp Hennig
ODL
21
126
0
10 Feb 2015
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