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TensorFlow: A system for large-scale machine learning

TensorFlow: A system for large-scale machine learning

27 May 2016
Martín Abadi
P. Barham
Jianmin Chen
Z. 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
    GNN
    AI4CE
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Papers citing "TensorFlow: A system for large-scale machine learning"

50 / 3,133 papers shown
Title
MD-GAN: Multi-Discriminator Generative Adversarial Networks for
  Distributed Datasets
MD-GAN: Multi-Discriminator Generative Adversarial Networks for Distributed Datasets
Corentin Hardy
Erwan Le Merrer
B. Sericola
GAN
27
181
0
09 Nov 2018
Incorporating Relevant Knowledge in Context Modeling and Response
  Generation
Incorporating Relevant Knowledge in Context Modeling and Response Generation
Christoph Vogel
Patrick Knöbelreiter
Thomas Pock
Chengyao Chen
24
1
0
09 Nov 2018
Pipe-SGD: A Decentralized Pipelined SGD Framework for Distributed Deep
  Net Training
Pipe-SGD: A Decentralized Pipelined SGD Framework for Distributed Deep Net Training
Youjie Li
Hang Qiu
Songze Li
A. Avestimehr
N. Kim
A. Schwing
FedML
16
103
0
08 Nov 2018
Federated Learning for Mobile Keyboard Prediction
Federated Learning for Mobile Keyboard Prediction
Andrew Straiton Hard
Kanishka Rao
Zhifeng Lin
Swaroop Indra Ramaswamy
Youjie Li
S. Augenstein
A. Schwing
M. Annavaram
A. Avestimehr
FedML
38
1,511
0
08 Nov 2018
ColorUNet: A convolutional classification approach to colorization
ColorUNet: A convolutional classification approach to colorization
Zhihui Zhu
Matthieu de Rochemonteix
Marc Thibault
11
6
0
07 Nov 2018
3DCapsule: Extending the Capsule Architecture to Classify 3D Point
  Clouds
3DCapsule: Extending the Capsule Architecture to Classify 3D Point Clouds
Fei Yang
C. Zheng
3DPC
33
41
0
06 Nov 2018
How deep is deep enough? -- Quantifying class separability in the hidden
  layers of deep neural networks
How deep is deep enough? -- Quantifying class separability in the hidden layers of deep neural networks
Junhong Lin
C. Metzner
Andreas K. Maier
V. Cevher
Holger Schulze
Patrick Krauss
21
56
0
05 Nov 2018
Elastic CRFs for Open-ontology Slot Filling
Elastic CRFs for Open-ontology Slot Filling
Yinpei Dai
Yichi Zhang
Hong Liu
Zhijian Ou
Yanmeng Wang
Junlan Feng
30
2
0
04 Nov 2018
Excessive Invariance Causes Adversarial Vulnerability
Excessive Invariance Causes Adversarial Vulnerability
J. Jacobsen
Jens Behrmann
R. Zemel
Matthias Bethge
AAML
27
166
0
01 Nov 2018
Fashionable Modelling with Flux
Fashionable Modelling with Flux
Mike Innes
Elliot Saba
Keno Fischer
Dhairya Gandhi
Marco Concetto Rudilosso
Neethu Mariya Joy
Tejan Karmali
Avik Pal
Viral B. Shah
AI4CE
39
160
0
01 Nov 2018
A Hitchhiker's Guide On Distributed Training of Deep Neural Networks
A Hitchhiker's Guide On Distributed Training of Deep Neural Networks
K. Chahal
Manraj Singh Grover
Kuntal Dey
3DH
OOD
6
53
0
28 Oct 2018
Scalable Distributed DNN Training using TensorFlow and CUDA-Aware MPI:
  Characterization, Designs, and Performance Evaluation
Scalable Distributed DNN Training using TensorFlow and CUDA-Aware MPI: Characterization, Designs, and Performance Evaluation
A. A. Awan
Jeroen Bédorf
Ching-Hsiang Chu
Hari Subramoni
D. Panda
GNN
33
45
0
25 Oct 2018
nGraph-HE: A Graph Compiler for Deep Learning on Homomorphically
  Encrypted Data
nGraph-HE: A Graph Compiler for Deep Learning on Homomorphically Encrypted Data
Fabian Boemer
Yixing Lao
Rosario Cammarota
Casimir Wierzynski
FedML
11
163
0
23 Oct 2018
Interpreting Black Box Predictions using Fisher Kernels
Interpreting Black Box Predictions using Fisher Kernels
Rajiv Khanna
Been Kim
Joydeep Ghosh
Oluwasanmi Koyejo
FAtt
27
103
0
23 Oct 2018
Efficiently measuring a quantum device using machine learning
Efficiently measuring a quantum device using machine learning
D. Lennon
H. Moon
L. Camenzind
Liuqi Yu
D. Zumbuhl
G. Briggs
Michael A. Osborne
E. Laird
N. Ares
14
67
0
23 Oct 2018
Using Deep Learning to Extend the Range of Air-Pollution Monitoring and
  Forecasting
Using Deep Learning to Extend the Range of Air-Pollution Monitoring and Forecasting
Philipp Haehnel
Jakub Mareˇcek
Julien Monteil
Fearghal O'Donncha
AI4CE
20
39
0
22 Oct 2018
Unsupervised Learning of Shape and Pose with Differentiable Point Clouds
Unsupervised Learning of Shape and Pose with Differentiable Point Clouds
Eldar Insafutdinov
Alexey Dosovitskiy
3DPC
25
244
0
22 Oct 2018
Dermatologist Level Dermoscopy Skin Cancer Classification Using
  Different Deep Learning Convolutional Neural Networks Algorithms
Dermatologist Level Dermoscopy Skin Cancer Classification Using Different Deep Learning Convolutional Neural Networks Algorithms
Amirreza Rezvantalab
H. Safigholi
Somayeh Karimijeshni
19
104
0
21 Oct 2018
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
23
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
15
47
0
20 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
13
75
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.
20
3
0
18 Oct 2018
Automatic Brain Tumor Segmentation using Convolutional Neural Networks
  with Test-Time Augmentation
Automatic Brain Tumor Segmentation using Convolutional Neural Networks with Test-Time Augmentation
Guotai Wang
Wenqi Li
Sebastien Ourselin
Tom Kamiel Magda Vercauteren
16
151
0
18 Oct 2018
Fault Tolerance in Iterative-Convergent Machine Learning
Fault Tolerance in Iterative-Convergent Machine Learning
Aurick Qiao
Bryon Aragam
Bingjing Zhang
Eric Xing
26
41
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
12
219
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
13
43
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
30
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
11
15
0
15 Oct 2018
Hyperparameter Learning via Distributional Transfer
Hyperparameter Learning via Distributional Transfer
H. Law
P. Zhao
Lucian Chan
Junzhou Huang
Dino Sejdinovic
19
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
9
59
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
25
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
19
8
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
PINN
3DPC
29
251
0
11 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
GAN
SSeg
MedIm
22
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
25
90
0
08 Oct 2018
POLO: a POLicy-based Optimization library
POLO: a POLicy-based Optimization library
Arda Aytekin
Martin Biel
M. Johansson
22
3
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
20
130
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
25
167
0
07 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
21
50
0
06 Oct 2018
PPO-CMA: Proximal Policy Optimization with Covariance Matrix Adaptation
PPO-CMA: Proximal Policy Optimization with Covariance Matrix Adaptation
Perttu Hämäläinen
Amin Babadi
Xiaoxiao Ma
J. Lehtinen
32
62
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
D. Feng
Jinman Kim
MedIm
27
165
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
27
281
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
6
64
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
20
636
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
21
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
16
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
21
321
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
27
6
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
16
41
0
29 Sep 2018
Towards Automated Post-Earthquake Inspections with Deep Learning-based
  Condition-Aware Models
Towards Automated Post-Earthquake Inspections with Deep Learning-based Condition-Aware Models
Vedhus Hoskere
Y. Narazaki
T. Hoang
B. Spencer
27
48
0
24 Sep 2018
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