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Optimal Mini-Batch Size Selection for Fast Gradient Descent

Optimal Mini-Batch Size Selection for Fast Gradient Descent

15 November 2019
M. Perrone
Haidar Khan
Changhoan Kim
Anastasios Kyrillidis
Jerry Quinn
V. Salapura
ArXivPDFHTML

Papers citing "Optimal Mini-Batch Size Selection for Fast Gradient Descent"

4 / 4 papers shown
Title
On Large-Batch Training for Deep Learning: Generalization Gap and Sharp
  Minima
On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima
N. Keskar
Dheevatsa Mudigere
J. Nocedal
M. Smelyanskiy
P. T. P. Tang
ODL
375
2,922
0
15 Sep 2016
On the Properties of Neural Machine Translation: Encoder-Decoder
  Approaches
On the Properties of Neural Machine Translation: Encoder-Decoder Approaches
Kyunghyun Cho
B. V. Merrienboer
Dzmitry Bahdanau
Yoshua Bengio
AI4CE
AIMat
178
6,760
0
03 Sep 2014
One weird trick for parallelizing convolutional neural networks
One weird trick for parallelizing convolutional neural networks
A. Krizhevsky
GNN
86
1,297
0
23 Apr 2014
Better Mini-Batch Algorithms via Accelerated Gradient Methods
Better Mini-Batch Algorithms via Accelerated Gradient Methods
Andrew Cotter
Ohad Shamir
Nathan Srebro
Karthik Sridharan
ODL
102
313
0
22 Jun 2011
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