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A Graph Theoretic Framework of Recomputation Algorithms for
  Memory-Efficient Backpropagation

A Graph Theoretic Framework of Recomputation Algorithms for Memory-Efficient Backpropagation

28 May 2019
M. Kusumoto
Takuya Inoue
G. Watanabe
Takuya Akiba
Masanori Koyama
ArXiv (abs)PDFHTML

Papers citing "A Graph Theoretic Framework of Recomputation Algorithms for Memory-Efficient Backpropagation"

15 / 15 papers shown
Title
Chainer: A Deep Learning Framework for Accelerating the Research Cycle
Chainer: A Deep Learning Framework for Accelerating the Research Cycle
Seiya Tokui
Ryosuke Okuta
Takuya Akiba
Yusuke Niitani
Toru Ogawa
Shunta Saito
Shuji Suzuki
Kota Uenishi
Brian K. Vogel
Hiroyuki Yamazaki Vincent
BDLAI4CE
58
130
0
01 Aug 2019
SuperNeurons: Dynamic GPU Memory Management for Training Deep Neural
  Networks
SuperNeurons: Dynamic GPU Memory Management for Training Deep Neural Networks
Linnan Wang
Jinmian Ye
Yiyang Zhao
Wei Wu
Ang Li
Shuaiwen Leon Song
Zenglin Xu
Tim Kraska
3DH
94
265
0
13 Jan 2018
MegDet: A Large Mini-Batch Object Detector
MegDet: A Large Mini-Batch Object Detector
Chao Peng
Tete Xiao
Zeming Li
Yuning Jiang
Xiangyu Zhang
Kai Jia
Gang Yu
Jian Sun
ObjD
179
318
0
20 Nov 2017
Mixed Precision Training
Mixed Precision Training
Paulius Micikevicius
Sharan Narang
Jonah Alben
G. Diamos
Erich Elsen
...
Boris Ginsburg
Michael Houston
Oleksii Kuchaiev
Ganesh Venkatesh
Hao Wu
157
1,799
0
10 Oct 2017
Memory-Efficient Implementation of DenseNets
Memory-Efficient Implementation of DenseNets
Geoff Pleiss
Danlu Chen
Gao Huang
Tongcheng Li
Laurens van der Maaten
Kilian Q. Weinberger
68
159
0
21 Jul 2017
ThiNet: A Filter Level Pruning Method for Deep Neural Network
  Compression
ThiNet: A Filter Level Pruning Method for Deep Neural Network Compression
Jian-Hao Luo
Jianxin Wu
Weiyao Lin
58
1,760
0
20 Jul 2017
Pyramid Scene Parsing Network
Pyramid Scene Parsing Network
Hengshuang Zhao
Jianping Shi
Xiaojuan Qi
Xiaogang Wang
Jiaya Jia
VOSSSeg
665
12,015
0
04 Dec 2016
Densely Connected Convolutional Networks
Densely Connected Convolutional Networks
Gao Huang
Zhuang Liu
Laurens van der Maaten
Kilian Q. Weinberger
PINN3DV
772
36,813
0
25 Aug 2016
Memory-Efficient Backpropagation Through Time
Memory-Efficient Backpropagation Through Time
A. Gruslys
Rémi Munos
Ivo Danihelka
Marc Lanctot
Alex Graves
63
229
0
10 Jun 2016
Training Deep Nets with Sublinear Memory Cost
Training Deep Nets with Sublinear Memory Cost
Tianqi Chen
Bing Xu
Chiyuan Zhang
Carlos Guestrin
103
1,167
0
21 Apr 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
2.2K
194,020
0
10 Dec 2015
U-Net: Convolutional Networks for Biomedical Image Segmentation
U-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger
Philipp Fischer
Thomas Brox
SSeg3DV
1.8K
77,196
0
18 May 2015
Batch Normalization: Accelerating Deep Network Training by Reducing
  Internal Covariate Shift
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
Sergey Ioffe
Christian Szegedy
OOD
463
43,305
0
11 Feb 2015
Going Deeper with Convolutions
Going Deeper with Convolutions
Christian Szegedy
Wei Liu
Yangqing Jia
P. Sermanet
Scott E. Reed
Dragomir Anguelov
D. Erhan
Vincent Vanhoucke
Andrew Rabinovich
468
43,658
0
17 Sep 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition
Very Deep Convolutional Networks for Large-Scale Image Recognition
Karen Simonyan
Andrew Zisserman
FAttMDE
1.6K
100,386
0
04 Sep 2014
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