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TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed
  Systems

TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems

14 March 2016
Martín Abadi
Ashish Agarwal
P. Barham
E. Brevdo
Zhiwen Chen
C. Citro
G. Corrado
Andy Davis
J. Dean
M. Devin
Sanjay Ghemawat
Ian Goodfellow
A. Harp
G. Irving
Michael Isard
Yangqing Jia
Rafal Jozefowicz
Lukasz Kaiser
M. Kudlur
J. Levenberg
Dandelion Mané
R. Monga
Sherry Moore
D. Murray
C. Olah
M. Schuster
Jonathon Shlens
Benoit Steiner
Ilya Sutskever
Kunal Talwar
P. Tucker
Vincent Vanhoucke
Vijay Vasudevan
F. Viégas
Oriol Vinyals
Pete Warden
Martin Wattenberg
Martin Wicke
Yuan Yu
Xiaoqiang Zheng
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Papers citing "TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems"

11 / 1,161 papers shown
Title
Deep neural networks are robust to weight binarization and other
  non-linear distortions
Deep neural networks are robust to weight binarization and other non-linear distortions
P. Merolla
R. Appuswamy
John V. Arthur
S. K. Esser
D. Modha
OOD
MQ
25
96
0
07 Jun 2016
DeepLab: Semantic Image Segmentation with Deep Convolutional Nets,
  Atrous Convolution, and Fully Connected CRFs
DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs
Liang-Chieh Chen
George Papandreou
Iasonas Kokkinos
Kevin Patrick Murphy
Alan Yuille
SSeg
97
18,101
0
02 Jun 2016
The Challenge of Non-Technical Loss Detection using Artificial
  Intelligence: A Survey
The Challenge of Non-Technical Loss Detection using Artificial Intelligence: A Survey
P. Glauner
Jorge Augusto Meira
Lautaro Dolberg
R. State
Franck Bettinger
24
205
0
02 Jun 2016
TensorFlow: A system for large-scale machine learning
TensorFlow: A system for large-scale machine learning
Martín Abadi
P. Barham
Jianmin Chen
Zhiwen Chen
Andy Davis
...
Vijay Vasudevan
Pete Warden
Martin Wicke
Yuan Yu
Xiaoqiang Zhang
GNN
AI4CE
182
18,282
0
27 May 2016
Predicting Visual Exemplars of Unseen Classes for Zero-Shot Learning
Predicting Visual Exemplars of Unseen Classes for Zero-Shot Learning
Soravit Changpinyo
Wei-Lun Chao
Fei Sha
VLM
40
177
0
26 May 2016
Faster Eigenvector Computation via Shift-and-Invert Preconditioning
Faster Eigenvector Computation via Shift-and-Invert Preconditioning
Dan Garber
Laurent Dinh
Chi Jin
Jascha Narain Sohl-Dickstein
Samy Bengio
Praneeth Netrapalli
Aaron Sidford
97
3,658
0
26 May 2016
Towards Better Analysis of Deep Convolutional Neural Networks
Towards Better Analysis of Deep Convolutional Neural Networks
Mengchen Liu
Jiaxin Shi
Zerui Li
Chongxuan Li
Jun Zhu
Shixia Liu
HAI
45
472
0
24 Apr 2016
Deep Learning in Bioinformatics
Deep Learning in Bioinformatics
Seonwoo Min
Byunghan Lee
Sungroh Yoon
AI4CE
3DV
43
1,355
0
21 Mar 2016
TTC: A high-performance Compiler for Tensor Transpositions
TTC: A high-performance Compiler for Tensor Transpositions
P. Springer
J. Hammond
Paolo Bientinesi
33
17
0
07 Mar 2016
Molecular Graph Convolutions: Moving Beyond Fingerprints
Molecular Graph Convolutions: Moving Beyond Fingerprints
S. Kearnes
Kevin McCloskey
Marc Berndl
Vijay S. Pande
Patrick F. Riley
GNN
52
1,440
0
02 Mar 2016
Automatic differentiation in machine learning: a survey
Automatic differentiation in machine learning: a survey
A. G. Baydin
Barak A. Pearlmutter
Alexey Radul
J. Siskind
PINN
AI4CE
ODL
92
2,763
0
20 Feb 2015
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