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TensorFlow: A system for large-scale machine learning
v1v2 (latest)

TensorFlow: A system for large-scale machine learning

27 May 2016
Martín Abadi
P. Barham
Jianmin Chen
Zhiwen Chen
Andy Davis
J. Dean
M. Devin
Sanjay Ghemawat
G. Irving
Michael Isard
M. Kudlur
J. Levenberg
R. Monga
Sherry Moore
D. Murray
Benoit Steiner
P. Tucker
Vijay Vasudevan
Pete Warden
Martin Wicke
Yuan Yu
Xiaoqiang Zhang
    GNNAI4CE
ArXiv (abs)PDFHTML

Papers citing "TensorFlow: A system for large-scale machine learning"

50 / 4,260 papers shown
Title
RLgraph: Modular Computation Graphs for Deep Reinforcement Learning
RLgraph: Modular Computation Graphs for Deep Reinforcement Learning
Michael Schaarschmidt
Sven Mika
Kai Fricke
Eiko Yoneki
OffRL
51
5
0
21 Oct 2018
BCR-Net: a neural network based on the nonstandard wavelet form
BCR-Net: a neural network based on the nonstandard wavelet form
Yuwei Fan
Cindy Orozco Bohorquez
Lexing Ying
76
47
0
20 Oct 2018
Towards Efficient Large-Scale Graph Neural Network Computing
Towards Efficient Large-Scale Graph Neural Network Computing
Lingxiao Ma
Zhi-Xin Yang
Youshan Miao
Jilong Xue
Ming Wu
Lidong Zhou
Yafei Dai
GNN
64
16
0
19 Oct 2018
Private Machine Learning in TensorFlow using Secure Computation
Private Machine Learning in TensorFlow using Secure Computation
Morten Dahl
Jason V. Mancuso
Yann Dupis
Ben Decoste
Morgan Giraud
Ian Livingstone
Justin Patriquin
Gavin Uhma
FedML
72
78
0
18 Oct 2018
Decoupling Semantic Context and Color Correlation with multi-class cross
  branch regularization
Decoupling Semantic Context and Color Correlation with multi-class cross branch regularization
Vishal Keshav
L. TejpratapG.V.S.
42
3
0
18 Oct 2018
Distributed Learning over Unreliable Networks
Distributed Learning over Unreliable Networks
Chen Yu
Hanlin Tang
Cédric Renggli
S. Kassing
Ankit Singla
Dan Alistarh
Ce Zhang
Ji Liu
OOD
105
61
0
17 Oct 2018
Fault Tolerance in Iterative-Convergent Machine Learning
Fault Tolerance in Iterative-Convergent Machine Learning
Aurick Qiao
Bryon Aragam
Bingjing Zhang
Eric Xing
76
42
0
17 Oct 2018
ReDMark: Framework for Residual Diffusion Watermarking on Deep Networks
ReDMark: Framework for Residual Diffusion Watermarking on Deep Networks
Mahdi Ahmadi
Alireza Norouzi
S. M. Reza Soroushmehr
N. Karimi
Kayvan Najarian
S. Samavi
Ali Emami
WIGM
58
225
0
16 Oct 2018
AutoGraph: Imperative-style Coding with Graph-based Performance
AutoGraph: Imperative-style Coding with Graph-based Performance
D. Moldovan
James M. Decker
Fei Wang
A. A. Johnson
Brian K. Lee
Zachary Nado
D. Sculley
Tiark Rompf
Alexander B. Wiltschko
60
43
0
16 Oct 2018
Packaging and Sharing Machine Learning Models via the Acumos AI Open
  Platform
Packaging and Sharing Machine Learning Models via the Acumos AI Open Platform
Shuai Zhao
Manoop Talasila
G. Jacobson
Cristian Borcea
Syed Anwar Aftab
John F. Murray
59
33
0
16 Oct 2018
INFODENS: An Open-source Framework for Learning Text Representations
INFODENS: An Open-source Framework for Learning Text Representations
Ahmad Taie
Raphaël Rubino
Josef van Genabith
VLMAI4CE
23
2
0
16 Oct 2018
Fine-tuning on Clean Data for End-to-End Speech Translation: FBK @ IWSLT
  2018
Fine-tuning on Clean Data for End-to-End Speech Translation: FBK @ IWSLT 2018
Mattia Antonino Di Gangi
Roberto Dessì
R. Cattoni
Matteo Negri
Marco Turchi
59
10
0
16 Oct 2018
Morph: Flexible Acceleration for 3D CNN-based Video Understanding
Morph: Flexible Acceleration for 3D CNN-based Video Understanding
Kartik Hegde
R. Agrawal
Yulun Yao
Christopher W. Fletcher
79
71
0
16 Oct 2018
Stop Illegal Comments: A Multi-Task Deep Learning Approach
Stop Illegal Comments: A Multi-Task Deep Learning Approach
Ahmed Elnaggar
Bernhard Waltl
Ingo Glaser
Jörg Landthaler
Elena Scepankova
Florian Matthes
AILaw
50
17
0
15 Oct 2018
MGSim + MGMark: A Framework for Multi-GPU System Research
MGSim + MGMark: A Framework for Multi-GPU System Research
Tam n. Nguyen
Trinayan Baruah
Saiful A. Mojumder
Shi Dong
Rafael Ubal
...
Vincent Zhao
José L. Abellán
John Kim
A. Joshi
David Kaeli
15
10
0
15 Oct 2018
Hyperparameter Learning via Distributional Transfer
Hyperparameter Learning via Distributional Transfer
H. Law
P. Zhao
Lucian Chan
Junzhou Huang
Dino Sejdinovic
85
25
0
15 Oct 2018
Robust Learning of Tactile Force Estimation through Robot Interaction
Robust Learning of Tactile Force Estimation through Robot Interaction
Balakumar Sundaralingam
Alexander Lambert
Ankur Handa
Byron Boots
Tucker Hermans
Stan Birchfield
Nathan D. Ratliff
Dieter Fox
OOD
59
61
0
15 Oct 2018
Learning to Sketch with Deep Q Networks and Demonstrated Strokes
Learning to Sketch with Deep Q Networks and Demonstrated Strokes
Tao Zhou
Chen Fang
Zhaowen Wang
Jimei Yang
Byungmoon Kim
Zhili Chen
Jonathan Brandt
Demetri Terzopoulos
99
7
0
14 Oct 2018
Training Deep Neural Network in Limited Precision
Training Deep Neural Network in Limited Precision
Hyunsun Park
J. Lee
Youngmin Oh
Sangwon Ha
Seungwon Lee
33
9
0
12 Oct 2018
Energy Flow Networks: Deep Sets for Particle Jets
Energy Flow Networks: Deep Sets for Particle Jets
Patrick T. Komiske
E. Metodiev
Jesse Thaler
PINN3DPC
109
258
0
11 Oct 2018
Image Super-Resolution Using VDSR-ResNeXt and SRCGAN
Image Super-Resolution Using VDSR-ResNeXt and SRCGAN
Saifuddin Hitawala
Yao Li
Xian Wang
Dongyang Yang
GAN
40
15
0
10 Oct 2018
Deep learning with differential Gaussian process flows
Deep learning with differential Gaussian process flows
Pashupati Hegde
Markus Heinonen
Harri Lähdesmäki
Samuel Kaski
BDL
95
42
0
09 Oct 2018
Conditional Generative Refinement Adversarial Networks for Unbalanced
  Medical Image Semantic Segmentation
Conditional Generative Refinement Adversarial Networks for Unbalanced Medical Image Semantic Segmentation
Mina Rezaei
Haojin Yang
Christoph Meinel
GANSSegMedIm
92
21
0
09 Oct 2018
Security Analysis of Deep Neural Networks Operating in the Presence of
  Cache Side-Channel Attacks
Security Analysis of Deep Neural Networks Operating in the Presence of Cache Side-Channel Attacks
Sanghyun Hong
Michael Davinroy
Yigitcan Kaya
S. Locke
Ian Rackow
Kevin Kulda
Dana Dachman-Soled
Tudor Dumitras
MIACV
84
90
0
08 Oct 2018
Deep calibration of rough stochastic volatility models
Deep calibration of rough stochastic volatility models
Christian Bayer
Benjamin Stemper
35
71
0
08 Oct 2018
NSML: Meet the MLaaS platform with a real-world case study
NSML: Meet the MLaaS platform with a real-world case study
Hanjoo Kim
Minkyu Kim
Dongjoo Seo
Jinwoong Kim
Heungseok Park
...
KyungHyun Kim
Youngil Yang
Youngkwan Kim
Nako Sung
Jung-Woo Ha
54
132
0
08 Oct 2018
Deep Model-Based 6D Pose Refinement in RGB
Deep Model-Based 6D Pose Refinement in RGB
Fabian Manhardt
Wadim Kehl
Nassir Navab
Federico Tombari
3DH
106
169
0
07 Oct 2018
Deep convolutional Gaussian processes
Deep convolutional Gaussian processes
Kenneth Blomqvist
Samuel Kaski
Markus Heinonen
BDL
91
61
0
06 Oct 2018
Characterizing Deep-Learning I/O Workloads in TensorFlow
Characterizing Deep-Learning I/O Workloads in TensorFlow
Steven W. D. Chien
Stefano Markidis
C. Sishtla
Luís Santos
Pawel Herman
Sai B. Narasimhamurthy
Erwin Laure
91
50
0
06 Oct 2018
Computationally Efficient Deep Neural Network for Computed Tomography
  Image Reconstruction
Computationally Efficient Deep Neural Network for Computed Tomography Image Reconstruction
Dufan Wu
Kyungsang Kim
Quanzheng Li
43
44
0
05 Oct 2018
Co-Learning Feature Fusion Maps from PET-CT Images of Lung Cancer
Co-Learning Feature Fusion Maps from PET-CT Images of Lung Cancer
Ashnil Kumar
M. Fulham
Dagan Feng
Jinman Kim
MedIm
44
169
0
05 Oct 2018
A Convergence Analysis of Gradient Descent for Deep Linear Neural
  Networks
A Convergence Analysis of Gradient Descent for Deep Linear Neural Networks
Sanjeev Arora
Nadav Cohen
Noah Golowich
Wei Hu
182
293
0
04 Oct 2018
Detecting DGA domains with recurrent neural networks and side
  information
Detecting DGA domains with recurrent neural networks and side information
Ryan R. Curtin
Andrew B. Gardner
Slawomir Grzonkowski
A. Kleymenov
Alejandro Mosquera
AAML
58
66
0
04 Oct 2018
Learning Scheduling Algorithms for Data Processing Clusters
Learning Scheduling Algorithms for Data Processing Clusters
Hongzi Mao
Malte Schwarzkopf
S. Venkatakrishnan
Zili Meng
Mohammad Alizadeh
OffRL
107
654
0
03 Oct 2018
Extreme Augmentation : Can deep learning based medical image
  segmentation be trained using a single manually delineated scan?
Extreme Augmentation : Can deep learning based medical image segmentation be trained using a single manually delineated scan?
Bilwaj Gaonkar
Matthew Edwards
Alex A. T. Bui
Matthew A. Brown
Luke Macyszyn
27
7
0
03 Oct 2018
PromID: human promoter prediction by deep learning
PromID: human promoter prediction by deep learning
Ramzan Umarov
Hiroyuki Kuwahara
Yu Li
Xin Gao
Victor V. Solovyev
HAI
48
7
0
02 Oct 2018
AI Benchmark: Running Deep Neural Networks on Android Smartphones
AI Benchmark: Running Deep Neural Networks on Android Smartphones
Andrey D. Ignatov
Radu Timofte
William Chou
Ke Wang
Max Wu
Tim Hartley
Luc Van Gool
ELM
87
324
0
02 Oct 2018
Interpretable Neuron Structuring with Graph Spectral Regularization
Interpretable Neuron Structuring with Graph Spectral Regularization
Alexander Tong
David van Dijk
Jay S. Stanley
Matthew Amodio
Kristina M. Yim
R. Muhle
J. Noonan
Guy Wolf
Smita Krishnaswamy
51
6
0
30 Sep 2018
DIMENSION: Dynamic MR Imaging with Both K-space and Spatial Prior
  Knowledge Obtained via Multi-Supervised Network Training
DIMENSION: Dynamic MR Imaging with Both K-space and Spatial Prior Knowledge Obtained via Multi-Supervised Network Training
Shanshan Wang
Ziwen Ke
Huitao Cheng
Seng Jia
L. Ying
Hairong Zheng
Dong Liang
95
122
0
30 Sep 2018
Non-local NetVLAD Encoding for Video Classification
Non-local NetVLAD Encoding for Video Classification
Yongyi Tang
Xing Zhang
Jingwen Wang
Shaoxiang Chen
Lin Ma
Yu-Gang Jiang
67
41
0
29 Sep 2018
Predicting the Generalization Gap in Deep Networks with Margin
  Distributions
Predicting the Generalization Gap in Deep Networks with Margin Distributions
Yiding Jiang
Dilip Krishnan
H. Mobahi
Samy Bengio
UQCV
105
199
0
28 Sep 2018
DeepSSM: A Deep Learning Framework for Statistical Shape Modeling from
  Raw Images
DeepSSM: A Deep Learning Framework for Statistical Shape Modeling from Raw Images
Riddhish Bhalodia
Shireen Y. Elhabian
L. Kavan
Ross T. Whitaker
86
60
0
28 Sep 2018
Deep Residual Network for Off-Resonance Artifact Correction with
  Application to Pediatric Body Magnetic Resonance Angiography with 3D Cones
Deep Residual Network for Off-Resonance Artifact Correction with Application to Pediatric Body Magnetic Resonance Angiography with 3D Cones
David Y Zeng
Jamil Shaikh
D. Nishimura
S. Vasanawala
Joseph Y. Cheng
MedIm
19
2
0
28 Sep 2018
GPyTorch: Blackbox Matrix-Matrix Gaussian Process Inference with GPU
  Acceleration
GPyTorch: Blackbox Matrix-Matrix Gaussian Process Inference with GPU Acceleration
Jacob R. Gardner
Geoff Pleiss
D. Bindel
Kilian Q. Weinberger
A. Wilson
GP
160
1,106
0
28 Sep 2018
Large Scale GAN Training for High Fidelity Natural Image Synthesis
Large Scale GAN Training for High Fidelity Natural Image Synthesis
Andrew Brock
Jeff Donahue
Karen Simonyan
302
5,416
0
28 Sep 2018
FanStore: Enabling Efficient and Scalable I/O for Distributed Deep
  Learning
FanStore: Enabling Efficient and Scalable I/O for Distributed Deep Learning
Zhao-jie Zhang
Lei Huang
U. Manor
Linjing Fang
G. Merlo
C. Michoski
J. Cazes
N. Gaffney
31
22
0
27 Sep 2018
Semantic Topic Analysis of Traffic Camera Images
Semantic Topic Analysis of Traffic Camera Images
Jeffrey Liu
A. Weinert
Saurabh Amin
15
3
0
27 Sep 2018
The Convergence of Sparsified Gradient Methods
The Convergence of Sparsified Gradient Methods
Dan Alistarh
Torsten Hoefler
M. Johansson
Sarit Khirirat
Nikola Konstantinov
Cédric Renggli
183
493
0
27 Sep 2018
Multi-View Frame Reconstruction with Conditional GAN
Multi-View Frame Reconstruction with Conditional GAN
T. Mahmud
Mohammad Billah
Amit K. Roy-Chowdhury
GAN
39
5
0
27 Sep 2018
Iterative Document Representation Learning Towards Summarization with
  Polishing
Iterative Document Representation Learning Towards Summarization with Polishing
Preslav Nakov
Shen Gao
Chongyang Tao
Yan Song
Dongyan Zhao
Rui Yan
82
41
0
27 Sep 2018
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