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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
Zhehuai 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"

50 / 1,041 papers shown
Title
Early Myocardial Infarction Detection over Multi-view Echocardiography
Early Myocardial Infarction Detection over Multi-view Echocardiography
A. Degerli
S. Kiranyaz
Tahir Hamid
Rashid Mazhar
Moncef Gabbouj
40
24
0
09 Nov 2021
Data-Centric Engineering: integrating simulation, machine learning and
  statistics. Challenges and Opportunities
Data-Centric Engineering: integrating simulation, machine learning and statistics. Challenges and Opportunities
Indranil Pan
L. Mason
Omar K. Matar
AI4CE
49
45
0
07 Nov 2021
Deep Joint Source-Channel Coding for Image Transmission with Visual
  Protection
Deep Joint Source-Channel Coding for Image Transmission with Visual Protection
Jia-lin Xu
Bo Ai
Wei Chen
Ning Wang
Miguel R. D. Rodrigues
37
16
0
05 Nov 2021
MUVINE: Multi-stage Virtual Network Embedding in Cloud Data Centers
  using Reinforcement Learning based Predictions
MUVINE: Multi-stage Virtual Network Embedding in Cloud Data Centers using Reinforcement Learning based Predictions
H. Thakkar
C. Dehury
P. Sahoo
14
28
0
04 Nov 2021
An Asymptotic Analysis of Minibatch-Based Momentum Methods for Linear
  Regression Models
An Asymptotic Analysis of Minibatch-Based Momentum Methods for Linear Regression Models
Yuan Gao
Xuening Zhu
Haobo Qi
Guodong Li
Riquan Zhang
Hansheng Wang
31
3
0
02 Nov 2021
Constructing Neural Network-Based Models for Simulating Dynamical
  Systems
Constructing Neural Network-Based Models for Simulating Dynamical Systems
Christian Møldrup Legaard
Thomas Schranz
G. Schweiger
Ján Drgovna
Basak Falay
C. Gomes
Alexandros Iosifidis
M. Abkar
P. Larsen
PINN
AI4CE
33
93
0
02 Nov 2021
Emulation of physical processes with Emukit
Emulation of physical processes with Emukit
Andrei Paleyes
Mark Pullin
Maren Mahsereci
Cliff McCollum
Neil D. Lawrence
Javier I. González
28
79
0
25 Oct 2021
Practical Galaxy Morphology Tools from Deep Supervised Representation
  Learning
Practical Galaxy Morphology Tools from Deep Supervised Representation Learning
Mike Walmsley
Anna M. M. Scaife
Chris J. Lintott
Michelle Lochner
Yu Zhu
...
Xibo Ma
Sandor Kruk
Zhen Lei
G. Guo
B. Simmons
24
29
0
25 Oct 2021
Semi-Supervised Semantic Segmentation of Vessel Images using Leaking
  Perturbations
Semi-Supervised Semantic Segmentation of Vessel Images using Leaking Perturbations
Jinyong Hou
Xuejie Ding
Jeremiah D. Deng
MedIm
31
19
0
22 Oct 2021
Reconstruction of Fragmented Trajectories of Collective Motion using
  Hadamard Deep Autoencoders
Reconstruction of Fragmented Trajectories of Collective Motion using Hadamard Deep Autoencoders
Kelum Gajamannage
Yonggi Park
Randy Paffenroth
A. Jayasumana
6
7
0
20 Oct 2021
Designing A Clinically Applicable Deep Recurrent Model to Identify
  Neuropsychiatric Symptoms in People Living with Dementia Using In-Home
  Monitoring Data
Designing A Clinically Applicable Deep Recurrent Model to Identify Neuropsychiatric Symptoms in People Living with Dementia Using In-Home Monitoring Data
Francesca Palermo
Honglin Li
Alexander Capstick
N. Fletcher-Lloyd
Yuchen Zhao
Samaneh Kouchaki
R. Nilforooshan
D. Sharp
Payam Barnaghi
6
6
0
19 Oct 2021
A scalable and fast artificial neural network syndrome decoder for
  surface codes
A scalable and fast artificial neural network syndrome decoder for surface codes
S. Gicev
Lloyd C. L. Hollenberg
M. Usman
LRM
AI4CE
42
33
0
12 Oct 2021
Understanding Pooling in Graph Neural Networks
Understanding Pooling in Graph Neural Networks
Daniele Grattarola
Daniele Zambon
F. Bianchi
Cesare Alippi
GNN
FAtt
AI4CE
35
91
0
11 Oct 2021
Physics-Informed Neural Networks for AC Optimal Power Flow
Physics-Informed Neural Networks for AC Optimal Power Flow
Rahul Nellikkath
Spyros Chatzivasileiadis
PINN
34
88
0
06 Oct 2021
Effects of Multi-Aspect Online Reviews with Unobserved Confounders:
  Estimation and Implication
Effects of Multi-Aspect Online Reviews with Unobserved Confounders: Estimation and Implication
Lu Cheng
Ruocheng Guo
K. S. Candan
Huan Liu
CML
29
6
0
04 Oct 2021
Marginally calibrated response distributions for end-to-end learning in
  autonomous driving
Marginally calibrated response distributions for end-to-end learning in autonomous driving
Clara Hoffmann
Nadja Klein
26
2
0
03 Oct 2021
Scenario adaptive disruption prediction study for next generation
  burning-plasma tokamaks
Scenario adaptive disruption prediction study for next generation burning-plasma tokamaks
J. Zhu
C. Rea
R. Granetz
E. Marmar
K. Montes
...
B. Shen
B. Xiao
D. Humphreys
J. Barr
O. Meneghini
28
16
0
18 Sep 2021
DeepMTS: Deep Multi-task Learning for Survival Prediction in Patients
  with Advanced Nasopharyngeal Carcinoma using Pretreatment PET/CT
DeepMTS: Deep Multi-task Learning for Survival Prediction in Patients with Advanced Nasopharyngeal Carcinoma using Pretreatment PET/CT
Mingyuan Meng
B. Gu
Lei Bi
Shaoli Song
Dagan Feng
Jinman Kim
MedIm
32
38
0
16 Sep 2021
Multi-Task Learning with Sequence-Conditioned Transporter Networks
Multi-Task Learning with Sequence-Conditioned Transporter Networks
M. H. Lim
Andy Zeng
Brian Ichter
Maryam Bandari
Erwin Coumans
Claire Tomlin
S. Schaal
Aleksandra Faust
42
14
0
15 Sep 2021
Rapidly and accurately estimating brain strain and strain rate across
  head impact types with transfer learning and data fusion
Rapidly and accurately estimating brain strain and strain rate across head impact types with transfer learning and data fusion
Xianghao Zhan
Yuzhe Liu
Nicholas J. Cecchi
Olivier Gevaert
M. Zeineh
Gerald Grant
David B. Camarillo
17
5
0
31 Aug 2021
Machine Learning for Performance Prediction of Spark Cloud Applications
Machine Learning for Performance Prediction of Spark Cloud Applications
Alexandre Maros
Fabricio Murai
Ana Paula Couto da Silva
Jussara M. Almeida
M. Lattuada
E. Gianniti
Marjan Hosseini
Danilo Ardagna
14
25
0
27 Aug 2021
Opportunistic Emulation of Computationally Expensive Simulations via
  Deep Learning
Opportunistic Emulation of Computationally Expensive Simulations via Deep Learning
Conrad Sanderson
D. Pagendam
B. Power
Frederick Bennett
Ross Darnell
34
2
0
25 Aug 2021
Energy time series forecasting-Analytical and empirical assessment of
  conventional and machine learning models
Energy time series forecasting-Analytical and empirical assessment of conventional and machine learning models
Hala Hamdoun
A. Sagheer
Hassan A. Youness
AI4TS
25
9
0
24 Aug 2021
Deep Learning-based Spacecraft Relative Navigation Methods: A Survey
Deep Learning-based Spacecraft Relative Navigation Methods: A Survey
Jianing Song
Duarte Rondao
Nabil Aouf
15
76
0
19 Aug 2021
Relational Graph Convolutional Networks: A Closer Look
Relational Graph Convolutional Networks: A Closer Look
Thiviyan Thanapalasingam
Lucas van Berkel
Peter Bloem
Paul T. Groth
GNN
19
19
0
21 Jul 2021
BRIMA: low-overhead BRowser-only IMage Annotation tool (Preprint)
BRIMA: low-overhead BRowser-only IMage Annotation tool (Preprint)
Tuomo Lahtinen
Hannu Turtiainen
Andrei Costin
22
9
0
13 Jul 2021
BCNet: A Deep Convolutional Neural Network for Breast Cancer Grading
BCNet: A Deep Convolutional Neural Network for Breast Cancer Grading
Pouya Hallaj Zavareh
Atefeh Safayari
Hamidreza Bolhasani
21
9
0
11 Jul 2021
Survey: Leakage and Privacy at Inference Time
Survey: Leakage and Privacy at Inference Time
Marija Jegorova
Chaitanya Kaul
Charlie Mayor
Alison Q. OÑeil
Alexander Weir
Roderick Murray-Smith
Sotirios A. Tsaftaris
PILM
MIACV
33
71
0
04 Jul 2021
Model of the Weak Reset Process in HfOx Resistive Memory for Deep
  Learning Frameworks
Model of the Weak Reset Process in HfOx Resistive Memory for Deep Learning Frameworks
A. Majumdar
M. Bocquet
T. Hirtzlin
Axel Laborieux
Jacques-Olivier Klein
E. Nowak
Elisa Vianello
J. Portal
D. Querlioz
16
3
0
02 Jul 2021
Productivity, Portability, Performance: Data-Centric Python
Productivity, Portability, Performance: Data-Centric Python
Yiheng Wang
Yao Zhang
Yanzhang Wang
Yan Wan
Jiao Wang
Zhongyuan Wu
Yuhao Yang
Bowen She
59
95
0
01 Jul 2021
Fast and Accurate Road Crack Detection Based on Adaptive Cost-Sensitive
  Loss Function
Fast and Accurate Road Crack Detection Based on Adaptive Cost-Sensitive Loss Function
Kai Li
Bo Wang
Ying-jie Tian
Zhiquan Qi
26
43
0
29 Jun 2021
Physics-Informed Neural Networks for Minimising Worst-Case Violations in
  DC Optimal Power Flow
Physics-Informed Neural Networks for Minimising Worst-Case Violations in DC Optimal Power Flow
Rahul Nellikkath
Spyros Chatzivasileiadis
PINN
21
32
0
28 Jun 2021
Transient Stability Analysis with Physics-Informed Neural Networks
Transient Stability Analysis with Physics-Informed Neural Networks
Jochen Stiasny
Georgios S. Misyris
Spyros Chatzivasileiadis
PINN
29
13
0
25 Jun 2021
Transformer-based unsupervised patient representation learning based on
  medical claims for risk stratification and analysis
Transformer-based unsupervised patient representation learning based on medical claims for risk stratification and analysis
Xianlong Zeng
Simon M. Lin
Chang Liu
30
6
0
23 Jun 2021
Fully automated quantification of in vivo viscoelasticity of prostate
  zones using magnetic resonance elastography with Dense U-net segmentation
Fully automated quantification of in vivo viscoelasticity of prostate zones using magnetic resonance elastography with Dense U-net segmentation
Nader Aldoj
F. Biavati
M. Dewey
A. Hennemuth
P. Asbach
I. Sack
19
4
0
21 Jun 2021
Site-Agnostic 3D Dose Distribution Prediction with Deep Learning Neural
  Networks
Site-Agnostic 3D Dose Distribution Prediction with Deep Learning Neural Networks
Maryam Mashayekhi
Itzel Ramirez Tapia
Anjali Balagopal
Xinran Zhong
A. Sadeghnejad-Barkousaraie
R. Mcbeth
Mu-Han Lin
Steve B. Jiang
D. Nguyen
OOD
MedIm
32
17
0
15 Jun 2021
A Minimalist Approach to Offline Reinforcement Learning
A Minimalist Approach to Offline Reinforcement Learning
Scott Fujimoto
S. Gu
OffRL
63
790
0
12 Jun 2021
PYROBOCOP : Python-based Robotic Control & Optimization Package for
  Manipulation and Collision Avoidance
PYROBOCOP : Python-based Robotic Control & Optimization Package for Manipulation and Collision Avoidance
A. Raghunathan
Devesh K. Jha
Diego Romeres
38
26
0
06 Jun 2021
On the Strategyproofness of the Geometric Median
On the Strategyproofness of the Geometric Median
El-Mahdi El-Mhamdi
Sadegh Farhadkhani
R. Guerraoui
L. Hoang
FedML
35
18
0
04 Jun 2021
CI-dataset and DetDSCI methodology for detecting too small and too large
  critical infrastructures in satellite images: Airports and electrical
  substations as case study
CI-dataset and DetDSCI methodology for detecting too small and too large critical infrastructures in satellite images: Airports and electrical substations as case study
Francisco Pérez-Hernández
José Rodríguez-Ortega
Y. Benhammou
Francisco Herrera
Siham Tabik
34
5
0
25 May 2021
Who/What is My Teammate? Team Composition Considerations in Human-AI
  Teaming
Who/What is My Teammate? Team Composition Considerations in Human-AI Teaming
Nathan J. Mcneese
Beau G. Schelble
L. Canonico
Mustafa Demir
224
48
0
23 May 2021
Multi-Horizon Forecasting for Limit Order Books: Novel Deep Learning
  Approaches and Hardware Acceleration using Intelligent Processing Units
Multi-Horizon Forecasting for Limit Order Books: Novel Deep Learning Approaches and Hardware Acceleration using Intelligent Processing Units
Zihao Zhang
S. Zohren
31
24
0
21 May 2021
Learning to Automatically Catch Potholes in Worldwide Road Scene Images
Learning to Automatically Catch Potholes in Worldwide Road Scene Images
J. Yebes
David Montero
Ignacio Arriola
16
23
0
17 May 2021
Deep learning in physics: a study of dielectric quasi-cubic particles in
  a uniform electric field
Deep learning in physics: a study of dielectric quasi-cubic particles in a uniform electric field
Zhe Wang
C. Guet
19
5
0
11 May 2021
Adaptive Latent Space Tuning for Non-Stationary Distributions
Adaptive Latent Space Tuning for Non-Stationary Distributions
A. Scheinker
F. Cropp
S. Paiagua
D. Filippetto
OOD
23
3
0
08 May 2021
Joint Registration and Segmentation via Multi-Task Learning for Adaptive
  Radiotherapy of Prostate Cancer
Joint Registration and Segmentation via Multi-Task Learning for Adaptive Radiotherapy of Prostate Cancer
Mohamed S. Elmahdy
Laurens Beljaards
Sahar Yousefi
Hessam Sokooti
F. Verbeek
U. A. van der Heide
Marius Staring
34
21
0
05 May 2021
Improving Landslide Detection on SAR Data through Deep Learning
Improving Landslide Detection on SAR Data through Deep Learning
Lorenzo Nava
O. Monserrat
F. Catani
14
49
0
03 May 2021
Scaling End-to-End Models for Large-Scale Multilingual ASR
Scaling End-to-End Models for Large-Scale Multilingual ASR
Yue Liu
Ruoming Pang
Tara N. Sainath
Anmol Gulati
Yu Zhang
James Qin
Parisa Haghani
Wenjie Huang
Min Ma
Junwen Bai
CLL
37
76
0
30 Apr 2021
Guided Table Structure Recognition through Anchor Optimization
Guided Table Structure Recognition through Anchor Optimization
K. Hashmi
D. Stricker
Marcus Liwicki
Muhammad Noman Afzal
Muhammad Zeshan Afzal
LMTD
50
28
0
21 Apr 2021
GPflux: A Library for Deep Gaussian Processes
GPflux: A Library for Deep Gaussian Processes
Vincent Dutordoir
Hugh Salimbeni
Eric Hambro
John Mcleod
Felix Leibfried
A. Artemev
Mark van der Wilk
J. Hensman
M. Deisenroth
S. T. John
GP
46
23
0
12 Apr 2021
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