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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
Zhehuai 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"

49 / 3,499 papers shown
Title
Endoscopic Depth Measurement and Super-Spectral-Resolution Imaging
Endoscopic Depth Measurement and Super-Spectral-Resolution Imaging
Jianyu Lin
N. Clancy
Yang Hu
Ji Qi
T. Tatla
Danail Stoyanov
Lena Maier-Hein
Daniel Elson
30
14
0
19 Jun 2017
A convolutional autoencoder approach for mining features in cellular
  electron cryo-tomograms and weakly supervised coarse segmentation
A convolutional autoencoder approach for mining features in cellular electron cryo-tomograms and weakly supervised coarse segmentation
Xiangrui Zeng
M. R. Leung
T. Zeev-Ben-Mordehai
Min Xu
22
46
0
15 Jun 2017
Device Placement Optimization with Reinforcement Learning
Device Placement Optimization with Reinforcement Learning
Azalia Mirhoseini
Hieu H. Pham
Quoc V. Le
Benoit Steiner
Rasmus Larsen
Yuefeng Zhou
Naveen Kumar
Mohammad Norouzi
Samy Bengio
J. Dean
33
436
0
13 Jun 2017
Poseidon: An Efficient Communication Architecture for Distributed Deep
  Learning on GPU Clusters
Poseidon: An Efficient Communication Architecture for Distributed Deep Learning on GPU Clusters
Huatian Zhang
Zeyu Zheng
Shizhen Xu
Wei-Ming Dai
Qirong Ho
Xiaodan Liang
Zhiting Hu
Jinliang Wei
P. Xie
Eric Xing
GNN
33
343
0
11 Jun 2017
Comparative Analysis of Open Source Frameworks for Machine Learning with
  Use Case in Single-Threaded and Multi-Threaded Modes
Comparative Analysis of Open Source Frameworks for Machine Learning with Use Case in Single-Threaded and Multi-Threaded Modes
Yuriy Kochura
S. Stirenko
A. Rojbi
Oleg Alienin
Michail Novotarskiy
Yuri G. Gordienko
VLM
27
28
0
07 Jun 2017
Contextual Explanation Networks
Contextual Explanation Networks
Maruan Al-Shedivat
Kumar Avinava Dubey
Eric Xing
CML
37
82
0
29 May 2017
Deep Learning for Spatio-Temporal Modeling: Dynamic Traffic Flows and
  High Frequency Trading
Deep Learning for Spatio-Temporal Modeling: Dynamic Traffic Flows and High Frequency Trading
M. Dixon
Nicholas G. Polson
Vadim Sokolov
AI4TS
38
67
0
27 May 2017
Ridiculously Fast Shot Boundary Detection with Fully Convolutional
  Neural Networks
Ridiculously Fast Shot Boundary Detection with Fully Convolutional Neural Networks
Michael Gygli
6
76
0
23 May 2017
DeepXplore: Automated Whitebox Testing of Deep Learning Systems
DeepXplore: Automated Whitebox Testing of Deep Learning Systems
Kexin Pei
Yinzhi Cao
Junfeng Yang
Suman Jana
AAML
48
1,353
0
18 May 2017
R2-D2: ColoR-inspired Convolutional NeuRal Network (CNN)-based AndroiD
  Malware Detections
R2-D2: ColoR-inspired Convolutional NeuRal Network (CNN)-based AndroiD Malware Detections
Hsien-De Huang
Hung-Yu kao
AAML
24
147
0
12 May 2017
A Deep Learning Perspective on the Origin of Facial Expressions
A Deep Learning Perspective on the Origin of Facial Expressions
R. Breuer
Ron Kimmel
HAI
29
100
0
04 May 2017
Execution Templates: Caching Control Plane Decisions for Strong Scaling
  of Data Analytics
Execution Templates: Caching Control Plane Decisions for Strong Scaling of Data Analytics
Omid Mashayekhi
Hang Qu
Chinmayee Shah
P. Levis
26
25
0
04 May 2017
Efficient Natural Language Response Suggestion for Smart Reply
Efficient Natural Language Response Suggestion for Smart Reply
Matthew Henderson
Rami Al-Rfou
B. Strope
Yun-hsuan Sung
László Lukács
Ruiqi Guo
Sanjiv Kumar
Balint Miklos
R. Kurzweil
30
423
0
01 May 2017
Affect-LM: A Neural Language Model for Customizable Affective Text
  Generation
Affect-LM: A Neural Language Model for Customizable Affective Text Generation
Sayan Ghosh
Mathieu Chollet
Eugene Laksana
Louis-Philippe Morency
Stefan Scherer
KELM
CVBM
24
190
0
22 Apr 2017
Beyond Face Rotation: Global and Local Perception GAN for Photorealistic
  and Identity Preserving Frontal View Synthesis
Beyond Face Rotation: Global and Local Perception GAN for Photorealistic and Identity Preserving Frontal View Synthesis
Rui Huang
Shu Zhang
Tianyu Li
Ran He
GAN
CVBM
41
630
0
13 Apr 2017
Feature Tracking Cardiac Magnetic Resonance via Deep Learning and Spline
  Optimization
Feature Tracking Cardiac Magnetic Resonance via Deep Learning and Spline Optimization
D. Vigneault
Weidi Xie
D. Bluemke
J. A. Noble
21
13
0
12 Apr 2017
Character-based Joint Segmentation and POS Tagging for Chinese using
  Bidirectional RNN-CRF
Character-based Joint Segmentation and POS Tagging for Chinese using Bidirectional RNN-CRF
Yan Shao
Christian Hardmeier
Jörg Tiedemann
Joakim Nivre
38
106
0
05 Apr 2017
Online and Linear-Time Attention by Enforcing Monotonic Alignments
Online and Linear-Time Attention by Enforcing Monotonic Alignments
Colin Raffel
Minh-Thang Luong
Peter J. Liu
Ron J. Weiss
Douglas Eck
35
255
0
03 Apr 2017
Sequence-to-Sequence Models Can Directly Translate Foreign Speech
Sequence-to-Sequence Models Can Directly Translate Foreign Speech
Ron J. Weiss
J. Chorowski
Navdeep Jaitly
Yonghui Wu
Zhehuai Chen
48
341
0
24 Mar 2017
Flare: Native Compilation for Heterogeneous Workloads in Apache Spark
Flare: Native Compilation for Heterogeneous Workloads in Apache Spark
Grégory M. Essertel
Ruby Y. Tahboub
James M. Decker
Kevin J. Brown
K. Olukotun
Tiark Rompf
21
13
0
23 Mar 2017
An End-to-End Approach to Natural Language Object Retrieval via
  Context-Aware Deep Reinforcement Learning
An End-to-End Approach to Natural Language Object Retrieval via Context-Aware Deep Reinforcement Learning
Fan Wu
Zhongwen Xu
Yi Yang
ObjD
34
11
0
22 Mar 2017
Zero-Shot Learning by Generating Pseudo Feature Representations
Zero-Shot Learning by Generating Pseudo Feature Representations
Jiang Lu
Jin Li
Ziang Yan
Changshui Zhang
VLM
22
24
0
19 Mar 2017
What Uncertainties Do We Need in Bayesian Deep Learning for Computer
  Vision?
What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?
Alex Kendall
Y. Gal
BDL
OOD
UD
UQCV
PER
82
4,645
0
15 Mar 2017
Joint Learning of Correlated Sequence Labelling Tasks Using
  Bidirectional Recurrent Neural Networks
Joint Learning of Correlated Sequence Labelling Tasks Using Bidirectional Recurrent Neural Networks
Vardaan Pahuja
Anirban Laha
Shachar Mirkin
V. Raykar
Lili Kotlerman
Guy Lev
28
33
0
14 Mar 2017
Autoregressive Convolutional Neural Networks for Asynchronous Time
  Series
Autoregressive Convolutional Neural Networks for Asynchronous Time Series
Mikolaj Binkowski
Gautier Marti
Philippe Donnat
AI4TS
BDL
43
149
0
12 Mar 2017
Real-Time Machine Learning: The Missing Pieces
Real-Time Machine Learning: The Missing Pieces
Robert Nishihara
Philipp Moritz
Stephanie Wang
Alexey Tumanov
William Paul
Johann Schleier-Smith
Richard Liaw
Mehrdad Niknami
Michael I. Jordan
Ion Stoica
OffRL
35
64
0
11 Mar 2017
Massive Exploration of Neural Machine Translation Architectures
Massive Exploration of Neural Machine Translation Architectures
D. Britz
Anna Goldie
Minh-Thang Luong
Quoc V. Le
35
516
0
11 Mar 2017
Byzantine-Tolerant Machine Learning
Byzantine-Tolerant Machine Learning
Peva Blanchard
El-Mahdi El-Mhamdi
R. Guerraoui
J. Stainer
OOD
FedML
38
70
0
08 Mar 2017
Automatic Classification of Cancerous Tissue in Laserendomicroscopy
  Images of the Oral Cavity using Deep Learning
Automatic Classification of Cancerous Tissue in Laserendomicroscopy Images of the Oral Cavity using Deep Learning
Marc Aubreville
C. Knipfer
N. Oetter
Christian Jaremenko
E. Rodner
Joachim Denzler
C. Bohr
H. Neumann
Florian Stelzle
Andreas Maier
22
231
0
05 Mar 2017
The Statistical Recurrent Unit
The Statistical Recurrent Unit
Junier B. Oliva
Barnabás Póczós
J. Schneider
26
50
0
01 Mar 2017
Generating Steganographic Images via Adversarial Training
Generating Steganographic Images via Adversarial Training
Jamie Hayes
G. Danezis
AAML
GAN
29
275
0
01 Mar 2017
Equivalence of restricted Boltzmann machines and tensor network states
Equivalence of restricted Boltzmann machines and tensor network states
Martín Arjovsky
Song Cheng
Haidong Xie
Léon Bottou
Tao Xiang
32
225
0
17 Jan 2017
Deep Learning for Computational Chemistry
Deep Learning for Computational Chemistry
Garrett B. Goh
Nathan Oken Hodas
Abhinav Vishnu
AI4CE
21
674
0
17 Jan 2017
Deep Probabilistic Programming
Deep Probabilistic Programming
Dustin Tran
Matthew D. Hoffman
Rif A. Saurous
E. Brevdo
Kevin Patrick Murphy
David M. Blei
BDL
36
193
0
13 Jan 2017
Few-Shot Object Recognition from Machine-Labeled Web Images
Few-Shot Object Recognition from Machine-Labeled Web Images
Zhongwen Xu
Linchao Zhu
Yi Yang
VLM
18
66
0
19 Dec 2016
Neural Combinatorial Optimization with Reinforcement Learning
Neural Combinatorial Optimization with Reinforcement Learning
Irwan Bello
Hieu H. Pham
Quoc V. Le
Mohammad Norouzi
Samy Bengio
71
1,461
0
29 Nov 2016
Quantum Machine Learning
Quantum Machine Learning
Jacob Biamonte
P. Wittek
Nicola Pancotti
Patrick Rebentrost
N. Wiebe
S. Lloyd
27
1,982
0
28 Nov 2016
Learning Python Code Suggestion with a Sparse Pointer Network
Learning Python Code Suggestion with a Sparse Pointer Network
Avishkar Bhoopchand
Tim Rocktaschel
Earl T. Barr
Sebastian Riedel
20
87
0
24 Nov 2016
ModelHub: Towards Unified Data and Lifecycle Management for Deep
  Learning
ModelHub: Towards Unified Data and Lifecycle Management for Deep Learning
Hui Miao
Ang Li
L. Davis
Amol Deshpande
VLM
MU
29
128
0
18 Nov 2016
Normalizing the Normalizers: Comparing and Extending Network
  Normalization Schemes
Normalizing the Normalizers: Comparing and Extending Network Normalization Schemes
Mengye Ren
Renjie Liao
R. Urtasun
Fabian H. Sinz
R. Zemel
35
81
0
14 Nov 2016
Low Data Drug Discovery with One-shot Learning
Low Data Drug Discovery with One-shot Learning
Han Altae-Tran
Bharath Ramsundar
Aneesh S. Pappu
Vijay S. Pande
46
678
0
10 Nov 2016
Edward: A library for probabilistic modeling, inference, and criticism
Edward: A library for probabilistic modeling, inference, and criticism
Dustin Tran
A. Kucukelbir
Adji Bousso Dieng
Maja R. Rudolph
Dawen Liang
David M. Blei
26
300
0
31 Oct 2016
Automatic chemical design using a data-driven continuous representation
  of molecules
Automatic chemical design using a data-driven continuous representation of molecules
Rafael Gómez-Bombarelli
Jennifer N. Wei
David Duvenaud
José Miguel Hernández-Lobato
Benjamín Sánchez-Lengeling
Dennis Sheberla
J. Aguilera-Iparraguirre
Timothy D. Hirzel
Ryan P. Adams
Alán Aspuru-Guzik
3DV
79
2,891
0
07 Oct 2016
Google's Neural Machine Translation System: Bridging the Gap between
  Human and Machine Translation
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation
Yonghui Wu
M. Schuster
Zhehuai Chen
Quoc V. Le
Mohammad Norouzi
...
Alex Rudnick
Oriol Vinyals
G. Corrado
Macduff Hughes
J. Dean
AIMat
718
6,750
0
26 Sep 2016
Geometry-Based Next Frame Prediction from Monocular Video
Geometry-Based Next Frame Prediction from Monocular Video
R. Mahjourian
Martin Wicke
A. Angelova
MDE
19
41
0
20 Sep 2016
Applying Deep Learning to the Newsvendor Problem
Applying Deep Learning to the Newsvendor Problem
Afshin Oroojlooyjadid
L. Snyder
Martin Takáč
OOD
31
128
0
07 Jul 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
20
65
0
14 Jun 2016
Fast Zero-Shot Image Tagging
Fast Zero-Shot Image Tagging
Yang Zhang
Boqing Gong
M. Shah
VLM
3DV
22
141
0
31 May 2016
Automatic Differentiation Variational Inference
Automatic Differentiation Variational Inference
A. Kucukelbir
Dustin Tran
Rajesh Ranganath
Andrew Gelman
David M. Blei
47
710
0
02 Mar 2016
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