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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 / 4,264 papers shown
Title
"If you could see me through my eyes": Predicting Pedestrian Perception
"If you could see me through my eyes": Predicting Pedestrian Perception
Julian Petzold
Mostafa Wahby
F. Stark
Ulrich Behrje
Heiko Hamann
85
3
0
28 Feb 2022
Rule-based Evolutionary Bayesian Learning
Rule-based Evolutionary Bayesian Learning
T. Botsas
L. Mason
Omar K. Matar
Indranil Pan
43
1
0
28 Feb 2022
Gait Events Prediction using Hybrid CNN-RNN-based Deep Learning models
  through a Single Waist-worn Wearable Sensor
Gait Events Prediction using Hybrid CNN-RNN-based Deep Learning models through a Single Waist-worn Wearable Sensor
Muhammad Zeeshan Arshad
Ankhzaya Jamsrandorj
Jinwook Kim
Kyung-Ryoul Mun
HAI
54
24
0
28 Feb 2022
Automated Identification of Toxic Code Reviews Using ToxiCR
Automated Identification of Toxic Code Reviews Using ToxiCR
Jaydeb Sarker
Asif Kamal Turzo
Mingyou Dong
Amiangshu Bosu
75
35
0
26 Feb 2022
Composing Complex and Hybrid AI Solutions
Composing Complex and Hybrid AI Solutions
Peter Schuller
Joao P. Costeira
James Crowley
Jasmin Grosinger
F. Ingrand
Uwe Kockemann
A. Saffiotti
Martin Welss
29
6
0
25 Feb 2022
A Note on Machine Learning Approach for Computational Imaging
A Note on Machine Learning Approach for Computational Imaging
Bin Dong
64
0
0
24 Feb 2022
New Benchmark for Household Garbage Image Recognition
New Benchmark for Household Garbage Image Recognition
Zhize Wu
Huan-Yi Li
Xiang Wang
Zijun Wu
Lekang Zou
Lixiang Xu
Ming Tan
VLM
44
20
0
24 Feb 2022
Physics-informed neural networks for inverse problems in supersonic
  flows
Physics-informed neural networks for inverse problems in supersonic flows
Ameya Dilip Jagtap
Zhiping Mao
Nikolaus Adams
George Karniadakis
PINN
56
228
0
23 Feb 2022
Super-resolution GANs of randomly-seeded fields
Super-resolution GANs of randomly-seeded fields
A. Güemes
C. S. Vila
S. Discetti
29
10
0
23 Feb 2022
Memory Planning for Deep Neural Networks
Memory Planning for Deep Neural Networks
Maksim Levental
70
4
0
23 Feb 2022
PyTorch Geometric Signed Directed: A Software Package on Graph Neural
  Networks for Signed and Directed Graphs
PyTorch Geometric Signed Directed: A Software Package on Graph Neural Networks for Signed and Directed Graphs
Yixuan He
Xitong Zhang
Junjie Huang
Benedek Rozemberczki
Mihai Cucuringu
Gesine Reinert
88
18
0
22 Feb 2022
Distilled Neural Networks for Efficient Learning to Rank
Distilled Neural Networks for Efficient Learning to Rank
F. M. Nardini
Cosimo Rulli
Salvatore Trani
Rossano Venturini
FedML
58
16
0
22 Feb 2022
Myriad: a real-world testbed to bridge trajectory optimization and deep
  learning
Myriad: a real-world testbed to bridge trajectory optimization and deep learning
Nikolaus H. R. Howe
Simon Dufort-Labbé
Nitarshan Rajkumar
Pierre-Luc Bacon
72
5
0
22 Feb 2022
VADOI:Voice-Activity-Detection Overlapping Inference For End-to-end
  Long-form Speech Recognition
VADOI:Voice-Activity-Detection Overlapping Inference For End-to-end Long-form Speech Recognition
Jinhan Wang
Xiaosu Tong
Jinxi Guo
Di He
Roland Maas
71
5
0
22 Feb 2022
Energy-Efficient Respiratory Anomaly Detection in Premature Newborn
  Infants
Energy-Efficient Respiratory Anomaly Detection in Premature Newborn Infants
A. Paul
Md. Abu Saleh Tajin
Anup Das
W. Mongan
K. Dandekar
79
12
0
21 Feb 2022
Classical versus Quantum: comparing Tensor Network-based Quantum
  Circuits on LHC data
Classical versus Quantum: comparing Tensor Network-based Quantum Circuits on LHC data
Jack Y. Araz
M. Spannowsky
95
14
0
21 Feb 2022
AD for an Array Language with Nested Parallelism
AD for an Array Language with Nested Parallelism
Robert Schenck
O. Rønning
Troels Henriksen
C. Oancea
41
10
0
21 Feb 2022
Enabling On-Device Smartphone GPU based Training: Lessons Learned
Enabling On-Device Smartphone GPU based Training: Lessons Learned
Anish Das
Young D. Kwon
Jagmohan Chauhan
Cecilia Mascolo
3DH
81
11
0
21 Feb 2022
Coverage-Guided Tensor Compiler Fuzzing with Joint IR-Pass Mutation
Coverage-Guided Tensor Compiler Fuzzing with Joint IR-Pass Mutation
Jiawei Liu
Yuxiang Wei
Sen Yang
Yinlin Deng
Lingming Zhang
60
48
0
21 Feb 2022
SRL-SOA: Self-Representation Learning with Sparse 1D-Operational
  Autoencoder for Hyperspectral Image Band Selection
SRL-SOA: Self-Representation Learning with Sparse 1D-Operational Autoencoder for Hyperspectral Image Band Selection
Mete Ahishali
S. Kiranyaz
I. Ahmad
Moncef Gabbouj
42
9
0
20 Feb 2022
Predicting emotion from music videos: exploring the relative
  contribution of visual and auditory information to affective responses
Predicting emotion from music videos: exploring the relative contribution of visual and auditory information to affective responses
Phoebe K. Chua
D. Makris
Dorien Herremans
Gemma Roig
Design
87
9
0
19 Feb 2022
Missing Data Infill with Automunge
Missing Data Infill with Automunge
Nicholas J. Teague
65
3
0
19 Feb 2022
Trusted AI in Multi-agent Systems: An Overview of Privacy and Security
  for Distributed Learning
Trusted AI in Multi-agent Systems: An Overview of Privacy and Security for Distributed Learning
Chuan Ma
Jun Li
Kang Wei
Bo Liu
Ming Ding
Long Yuan
Zhu Han
H. Vincent Poor
106
48
0
18 Feb 2022
Ensemble Conformalized Quantile Regression for Probabilistic Time Series
  Forecasting
Ensemble Conformalized Quantile Regression for Probabilistic Time Series Forecasting
Vilde Jensen
F. Bianchi
S. N. Anfinsen
AI4TS
208
39
0
17 Feb 2022
Where Is My Training Bottleneck? Hidden Trade-Offs in Deep Learning
  Preprocessing Pipelines
Where Is My Training Bottleneck? Hidden Trade-Offs in Deep Learning Preprocessing Pipelines
Alexander Isenko
R. Mayer
Jeffrey Jedele
Hans-Arno Jacobsen
104
26
0
17 Feb 2022
Gradients without Backpropagation
Gradients without Backpropagation
A. G. Baydin
Barak A. Pearlmutter
Don Syme
Frank Wood
Philip Torr
82
67
0
17 Feb 2022
TorchDrug: A Powerful and Flexible Machine Learning Platform for Drug
  Discovery
TorchDrug: A Powerful and Flexible Machine Learning Platform for Drug Discovery
Zhaocheng Zhu
Chence Shi
Zuobai Zhang
Shengchao Liu
Minghao Xu
...
Chang Ma
Runcheng Liu
Louis-Pascal Xhonneux
Meng Qu
Jian Tang
OODVLMMedIm
42
72
0
16 Feb 2022
BB-ML: Basic Block Performance Prediction using Machine Learning
  Techniques
BB-ML: Basic Block Performance Prediction using Machine Learning Techniques
H. Abdelkhalik
Shammi Aktar
Yehia Arafa
Atanu Barai
Gopinath Chennupati
...
N. Panda
Nirmal Prajapati
Nazmul Haque Turja
S. Eidenbenz
Abdel-Hameed A. Badawy
32
2
0
16 Feb 2022
Machine Learning in Aerodynamic Shape Optimization
Machine Learning in Aerodynamic Shape Optimization
Ji-chao Li
Xiaosong Du
J. Martins
AI4CE
97
195
0
15 Feb 2022
Learned Turbulence Modelling with Differentiable Fluid Solvers:
  Physics-based Loss-functions and Optimisation Horizons
Learned Turbulence Modelling with Differentiable Fluid Solvers: Physics-based Loss-functions and Optimisation Horizons
Bjorn List
Li-Wei Chen
Nils Thuerey
80
57
0
14 Feb 2022
Benchmarking of DL Libraries and Models on Mobile Devices
Benchmarking of DL Libraries and Models on Mobile Devices
Qiyang Zhang
Xiang Li
Xiangying Che
Xiao Ma
Ao Zhou
Mengwei Xu
Shangguang Wang
Yudong Han
Xuanzhe Liu
82
49
0
14 Feb 2022
State-of-the-Art Review of Design of Experiments for Physics-Informed
  Deep Learning
State-of-the-Art Review of Design of Experiments for Physics-Informed Deep Learning
Sourav Das
S. Tesfamariam
PINNAI4CE
84
20
0
13 Feb 2022
LighTN: Light-weight Transformer Network for Performance-overhead
  Tradeoff in Point Cloud Downsampling
LighTN: Light-weight Transformer Network for Performance-overhead Tradeoff in Point Cloud Downsampling
Xu Wang
Yi Jin
Yigang Cen
Tao Wang
Bowen Tang
Yidong Li
ViT
69
33
0
13 Feb 2022
Fuzzy Pooling
Fuzzy Pooling
Dimitrios E. Diamantis
D. Iakovidis
28
20
0
12 Feb 2022
Benchmark Assessment for DeepSpeed Optimization Library
Benchmark Assessment for DeepSpeed Optimization Library
G. Liang
I. Alsmadi
66
3
0
12 Feb 2022
Lightning: Scaling the GPU Programming Model Beyond a Single GPU
Lightning: Scaling the GPU Programming Model Beyond a Single GPU
Stijn Heldens
P. Hijma
Ben van Werkhoven
Jason Maassen
Rob van Nieuwpoort
BDLGNNLRM
31
5
0
11 Feb 2022
ChemicalX: A Deep Learning Library for Drug Pair Scoring
ChemicalX: A Deep Learning Library for Drug Pair Scoring
Benedek Rozemberczki
Charles Tapley Hoyt
A. Gogleva
Piotr Grabowski
Klas Karis
...
Sebastian Nilsson
M. Ughetto
Yu Wang
Hanyu Wang
Benjamin M. Gyori
71
25
0
10 Feb 2022
Explainable Machine Learning for Breakdown Prediction in High Gradient
  RF Cavities
Explainable Machine Learning for Breakdown Prediction in High Gradient RF Cavities
Christoph Obermair
T. Cartier-Michaud
A. Apollonio
W. Millar
L. Felsberger
...
W. Wuensch
N. C. Lasheras
M. Boronat
Franz Pernkopf
G. Burt
83
10
0
10 Feb 2022
Conditional Drums Generation using Compound Word Representations
Conditional Drums Generation using Compound Word Representations
D. Makris
Guo Zixun
Maximos A. Kaliakatsos-Papakostas
Dorien Herremans
72
10
0
09 Feb 2022
Object-Guided Day-Night Visual Localization in Urban Scenes
Object-Guided Day-Night Visual Localization in Urban Scenes
Assia Benbihi
C´edric Pradalier
Ondřej Chum
39
4
0
09 Feb 2022
Physics-informed neural networks for solving parametric magnetostatic
  problems
Physics-informed neural networks for solving parametric magnetostatic problems
Andrés Beltrán-Pulido
Ilias Bilionis
D. Aliprantis
83
37
0
08 Feb 2022
Deep learning fluid flow reconstruction around arbitrary two-dimensional
  objects from sparse sensors using conformal mappings
Deep learning fluid flow reconstruction around arbitrary two-dimensional objects from sparse sensors using conformal mappings
Ali Girayhan Ozbay
S. Laizet
AI4CE
66
16
0
08 Feb 2022
A Survey of Breast Cancer Screening Techniques: Thermography and
  Electrical Impedance Tomography
A Survey of Breast Cancer Screening Techniques: Thermography and Electrical Impedance Tomography
Juan Pablo Zuluaga
Noureddine Zerhouni
Z. A. Masry
C. Devalland
C. Varnier
36
45
0
08 Feb 2022
Accurate super-resolution low-field brain MRI
Accurate super-resolution low-field brain MRI
Juan Eugenio Iglesias
Riana L. Schleicher
Sean Laguna
Benjamin Billot
P. Schaefer
Brenna N. Mckaig
J. Goldstein
Kevin N. Sheth
Matthew S. Rosen
W. T. Kimberly
71
6
0
07 Feb 2022
Unsupervised physics-informed disentanglement of multimodal data for
  high-throughput scientific discovery
Unsupervised physics-informed disentanglement of multimodal data for high-throughput scientific discovery
N. Trask
Carianne Martinez
Kookjin Lee
Brad L. Boyce
DRLAI4CE
53
7
0
07 Feb 2022
Gradient boosting machines and careful pre-processing work best: ASHRAE
  Great Energy Predictor III lessons learned
Gradient boosting machines and careful pre-processing work best: ASHRAE Great Energy Predictor III lessons learned
Clayton Miller
Liu Hao
Chunlei Fu
AI4CE
93
6
0
07 Feb 2022
Towards Training Reproducible Deep Learning Models
Towards Training Reproducible Deep Learning Models
Boyuan Chen
Mingzhi Wen
Yong Shi
Dayi Lin
Gopi Krishnan Rajbahadur
Zhen Ming
Z. Jiang
SyDa
72
38
0
04 Feb 2022
Identifying stimulus-driven neural activity patterns in multi-patient
  intracranial recordings
Identifying stimulus-driven neural activity patterns in multi-patient intracranial recordings
Jeremy R. Manning
44
0
0
04 Feb 2022
Who will Leave a Pediatric Weight Management Program and When? -- A
  machine learning approach for predicting attrition patterns
Who will Leave a Pediatric Weight Management Program and When? -- A machine learning approach for predicting attrition patterns
Hamed Fayyaz
T. Phan
H. Bunnell
Rahmatollah Beheshti
MU
29
1
0
03 Feb 2022
Systems Biology: Identifiability analysis and parameter identification
  via systems-biology informed neural networks
Systems Biology: Identifiability analysis and parameter identification via systems-biology informed neural networks
Mitchell Daneker
Zhen Zhang
George Karniadakis
Lu Lu
CML
52
36
0
03 Feb 2022
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