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A graphical heuristic for reduction and partitioning of large datasets
  for scalable supervised training

A graphical heuristic for reduction and partitioning of large datasets for scalable supervised training

24 July 2019
Sumedh Yadav
Mathis Bode
ArXivPDFHTML

Papers citing "A graphical heuristic for reduction and partitioning of large datasets for scalable supervised training"

3 / 3 papers shown
Title
Spectrally approximating large graphs with smaller graphs
Spectrally approximating large graphs with smaller graphs
Andreas Loukas
P. Vandergheynst
58
105
0
21 Feb 2018
TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed
  Systems
TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems
Martín Abadi
Ashish Agarwal
P. Barham
E. Brevdo
Zhiwen Chen
...
Pete Warden
Martin Wattenberg
Martin Wicke
Yuan Yu
Xiaoqiang Zheng
269
11,151
0
14 Mar 2016
Very Deep Convolutional Networks for Large-Scale Image Recognition
Very Deep Convolutional Networks for Large-Scale Image Recognition
Karen Simonyan
Andrew Zisserman
FAtt
MDE
1.6K
100,386
0
04 Sep 2014
1