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HyperSched: Dynamic Resource Reallocation for Model Development on a
  Deadline

HyperSched: Dynamic Resource Reallocation for Model Development on a Deadline

8 January 2020
Richard Liaw
Romil Bhardwaj
Lisa Dunlap
Yitian Zou
Joseph E. Gonzalez
Ion Stoica
Alexey Tumanov
ArXiv (abs)PDFHTML

Papers citing "HyperSched: Dynamic Resource Reallocation for Model Development on a Deadline"

13 / 13 papers shown
Title
Generative Adversarial Networks
Generative Adversarial Networks
Gilad Cohen
Raja Giryes
GAN
303
30,156
0
01 Mar 2022
Tiresias: Predicting Security Events Through Deep Learning
Tiresias: Predicting Security Events Through Deep Learning
Yun Shen
Enrico Mariconti
Pierre-Antoine Vervier
Gianluca Stringhini
AAML
105
163
0
24 May 2019
Large batch size training of neural networks with adversarial training
  and second-order information
Large batch size training of neural networks with adversarial training and second-order information
Z. Yao
A. Gholami
Daiyaan Arfeen
Richard Liaw
Joseph E. Gonzalez
Kurt Keutzer
Michael W. Mahoney
ODL
96
42
0
02 Oct 2018
Highly Scalable Deep Learning Training System with Mixed-Precision:
  Training ImageNet in Four Minutes
Highly Scalable Deep Learning Training System with Mixed-Precision: Training ImageNet in Four Minutes
Xianyan Jia
Shutao Song
W. He
Yangzihao Wang
Haidong Rong
...
Li Yu
Tiegang Chen
Guangxiao Hu
Shaoshuai Shi
Xiaowen Chu
92
384
0
30 Jul 2018
An argument in favor of strong scaling for deep neural networks with
  small datasets
An argument in favor of strong scaling for deep neural networks with small datasets
R. L. F. Cunha
Eduardo Rodrigues
Matheus Palhares Viana
Dario Augusto Borges Oliveira
27
2
0
24 Jul 2018
Tune: A Research Platform for Distributed Model Selection and Training
Tune: A Research Platform for Distributed Model Selection and Training
Richard Liaw
Eric Liang
Robert Nishihara
Philipp Moritz
Joseph E. Gonzalez
Ion Stoica
222
905
0
13 Jul 2018
SLAQ: Quality-Driven Scheduling for Distributed Machine Learning
SLAQ: Quality-Driven Scheduling for Distributed Machine Learning
Haoyu Zhang
Logan Stafman
Andrew Or
M. Freedman
70
141
0
13 Feb 2018
Deep Reinforcement Learning that Matters
Deep Reinforcement Learning that Matters
Peter Henderson
Riashat Islam
Philip Bachman
Joelle Pineau
Doina Precup
David Meger
OffRL
147
1,963
0
19 Sep 2017
Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour
Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour
Priya Goyal
Piotr Dollár
Ross B. Girshick
P. Noordhuis
Lukasz Wesolowski
Aapo Kyrola
Andrew Tulloch
Yangqing Jia
Kaiming He
3DH
132
3,688
0
08 Jun 2017
Hyperband: A Novel Bandit-Based Approach to Hyperparameter Optimization
Hyperband: A Novel Bandit-Based Approach to Hyperparameter Optimization
Lisha Li
Kevin Jamieson
Giulia DeSalvo
Afshin Rostamizadeh
Ameet Talwalkar
246
2,336
0
21 Mar 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
2.3K
194,774
0
10 Dec 2015
Non-stochastic Best Arm Identification and Hyperparameter Optimization
Non-stochastic Best Arm Identification and Hyperparameter Optimization
Kevin Jamieson
Ameet Talwalkar
217
580
0
27 Feb 2015
Towards AI-Complete Question Answering: A Set of Prerequisite Toy Tasks
Towards AI-Complete Question Answering: A Set of Prerequisite Toy Tasks
Jason Weston
Antoine Bordes
S. Chopra
Alexander M. Rush
Bart van Merriënboer
Armand Joulin
Tomas Mikolov
LRMELM
169
1,182
0
19 Feb 2015
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