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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
ArXivPDFHTML

Papers citing "TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems"

37 / 1,087 papers shown
Title
Collective Robot Reinforcement Learning with Distributed Asynchronous
  Guided Policy Search
Collective Robot Reinforcement Learning with Distributed Asynchronous Guided Policy Search
Ali Yahya
A. Li
Mrinal Kalakrishnan
Yevgen Chebotar
Sergey Levine
OffRL
26
155
0
03 Oct 2016
Very Deep Convolutional Neural Networks for Raw Waveforms
Very Deep Convolutional Neural Networks for Raw Waveforms
Wei Dai
Chia Dai
Shuhui Qu
Juncheng Billy Li
Samarjit Das
22
342
0
01 Oct 2016
Byte-based Language Identification with Deep Convolutional Networks
Byte-based Language Identification with Deep Convolutional Networks
Johannes Bjerva
21
16
0
28 Sep 2016
emoji2vec: Learning Emoji Representations from their Description
emoji2vec: Learning Emoji Representations from their Description
Ben Eisner
Tim Rocktaschel
Isabelle Augenstein
Matko Bosnjak
Sebastian Riedel
SSL
17
290
0
27 Sep 2016
HyperNetworks
HyperNetworks
David R Ha
Andrew M. Dai
Quoc V. Le
84
1,593
0
27 Sep 2016
Input Convex Neural Networks
Input Convex Neural Networks
Brandon Amos
Lei Xu
J. Zico Kolter
189
605
0
22 Sep 2016
Semantic Tagging with Deep Residual Networks
Semantic Tagging with Deep Residual Networks
Johannes Bjerva
Barbara Plank
Johan Bos
VLM
SSeg
25
78
0
22 Sep 2016
Distributed Training of Deep Neural Networks: Theoretical and Practical
  Limits of Parallel Scalability
Distributed Training of Deep Neural Networks: Theoretical and Practical Limits of Parallel Scalability
J. Keuper
Franz-Josef Pfreundt
GNN
58
98
0
22 Sep 2016
Show and Tell: Lessons learned from the 2015 MSCOCO Image Captioning
  Challenge
Show and Tell: Lessons learned from the 2015 MSCOCO Image Captioning Challenge
Oriol Vinyals
Alexander Toshev
Samy Bengio
D. Erhan
30
852
0
21 Sep 2016
Label-Free Supervision of Neural Networks with Physics and Domain
  Knowledge
Label-Free Supervision of Neural Networks with Physics and Domain Knowledge
Russell Stewart
Stefano Ermon
37
344
0
18 Sep 2016
Target-driven Visual Navigation in Indoor Scenes using Deep
  Reinforcement Learning
Target-driven Visual Navigation in Indoor Scenes using Deep Reinforcement Learning
Yuke Zhu
Roozbeh Mottaghi
Eric Kolve
Joseph J. Lim
Abhinav Gupta
Li Fei-Fei
Ali Farhadi
VGen
30
1,513
0
16 Sep 2016
An overview of gradient descent optimization algorithms
An overview of gradient descent optimization algorithms
Sebastian Ruder
ODL
144
6,156
0
15 Sep 2016
Unsupervised Monocular Depth Estimation with Left-Right Consistency
Unsupervised Monocular Depth Estimation with Left-Right Consistency
Clément Godard
Oisin Mac Aodha
Gabriel J. Brostow
MDE
75
2,872
0
13 Sep 2016
Autonomous driving challenge: To Infer the property of a dynamic object
  based on its motion pattern using recurrent neural network
Autonomous driving challenge: To Infer the property of a dynamic object based on its motion pattern using recurrent neural network
Mona Fathollahi
R. Kasturi
21
15
0
01 Sep 2016
AIDE: Fast and Communication Efficient Distributed Optimization
AIDE: Fast and Communication Efficient Distributed Optimization
Sashank J. Reddi
Jakub Konecný
Peter Richtárik
Barnabás Póczós
Alex Smola
26
150
0
24 Aug 2016
Exponential Family Embeddings
Exponential Family Embeddings
Maja R. Rudolph
Francisco J. R. Ruiz
Stephan Mandt
David M. Blei
33
107
0
02 Aug 2016
Deepr: A Convolutional Net for Medical Records
Deepr: A Convolutional Net for Medical Records
Phuoc Nguyen
T. Tran
N. Wickramasinghe
Svetha Venkatesh
MedIm
29
370
0
26 Jul 2016
Unsupervised Learning from Continuous Video in a Scalable Predictive
  Recurrent Network
Unsupervised Learning from Continuous Video in a Scalable Predictive Recurrent Network
Filip Piekniewski
Patryk A. Laurent
Csaba Petre
Micah Richert
Dimitry Fisher
Todd Hylton
25
17
0
22 Jul 2016
Uncovering Causality from Multivariate Hawkes Integrated Cumulants
Uncovering Causality from Multivariate Hawkes Integrated Cumulants
M. Achab
Emmanuel Bacry
Stéphane Gaïffas
I. Mastromatteo
Jean-François Muzy
60
90
0
21 Jul 2016
sk_p: a neural program corrector for MOOCs
sk_p: a neural program corrector for MOOCs
Yewen Pu
Karthik Narasimhan
Armando Solar-Lezama
Regina Barzilay
45
120
0
11 Jul 2016
Deep Learning with Differential Privacy
Deep Learning with Differential Privacy
Martín Abadi
Andy Chu
Ian Goodfellow
H. B. McMahan
Ilya Mironov
Kunal Talwar
Li Zhang
FedML
SyDa
84
6,024
0
01 Jul 2016
Convolutional Neural Networks on Graphs with Fast Localized Spectral
  Filtering
Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering
M. Defferrard
Xavier Bresson
P. Vandergheynst
GNN
149
7,604
0
30 Jun 2016
Robust Keystroke Biometric Anomaly Detection
Robust Keystroke Biometric Anomaly Detection
John V. Monaco
19
21
0
29 Jun 2016
LSTMVis: A Tool for Visual Analysis of Hidden State Dynamics in
  Recurrent Neural Networks
LSTMVis: A Tool for Visual Analysis of Hidden State Dynamics in Recurrent Neural Networks
Hendrik Strobelt
Sebastian Gehrmann
Hanspeter Pfister
Alexander M. Rush
HAI
34
83
0
23 Jun 2016
Omnivore: An Optimizer for Multi-device Deep Learning on CPUs and GPUs
Omnivore: An Optimizer for Multi-device Deep Learning on CPUs and GPUs
Stefan Hadjis
Ce Zhang
Ioannis Mitliagkas
Dan Iter
Christopher Ré
25
65
0
14 Jun 2016
Improved Techniques for Training GANs
Improved Techniques for Training GANs
Tim Salimans
Ian Goodfellow
Wojciech Zaremba
Vicki Cheung
Alec Radford
Xi Chen
GAN
197
8,943
0
10 Jun 2016
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
18,073
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
21
204
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
170
18,276
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
3,652
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
41
1,353
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
1,439
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
77
2,758
0
20 Feb 2015
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