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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 / 4,262 papers shown
Title
Optimizing Network Performance for Distributed DNN Training on GPU
  Clusters: ImageNet/AlexNet Training in 1.5 Minutes
Optimizing Network Performance for Distributed DNN Training on GPU Clusters: ImageNet/AlexNet Training in 1.5 Minutes
Peng Sun
Wansen Feng
Ruobing Han
Shengen Yan
Yonggang Wen
AI4CE
100
70
0
19 Feb 2019
SC-FEGAN: Face Editing Generative Adversarial Network with User's Sketch
  and Color
SC-FEGAN: Face Editing Generative Adversarial Network with User's Sketch and Color
Youngjoo Jo
Jongyoul Park
CVBMGAN
87
300
0
18 Feb 2019
Graph Dynamical Networks for Unsupervised Learning of Atomic Scale
  Dynamics in Materials
Graph Dynamical Networks for Unsupervised Learning of Atomic Scale Dynamics in Materials
T. Xie
A. France-Lanord
Yanming Wang
Y. Shao-horn
Jeffrey C. Grossman
AI4CE
75
111
0
18 Feb 2019
Wide Neural Networks of Any Depth Evolve as Linear Models Under Gradient
  Descent
Wide Neural Networks of Any Depth Evolve as Linear Models Under Gradient Descent
Jaehoon Lee
Lechao Xiao
S. Schoenholz
Yasaman Bahri
Roman Novak
Jascha Narain Sohl-Dickstein
Jeffrey Pennington
236
1,112
0
18 Feb 2019
A parallel Fortran framework for neural networks and deep learning
A parallel Fortran framework for neural networks and deep learning
M. Curcic
PINNFedML
48
30
0
18 Feb 2019
STCN: Stochastic Temporal Convolutional Networks
STCN: Stochastic Temporal Convolutional Networks
Emre Aksan
Otmar Hilliges
BDL
59
62
0
18 Feb 2019
LocalNorm: Robust Image Classification through Dynamically Regularized
  Normalization
LocalNorm: Robust Image Classification through Dynamically Regularized Normalization
Bojian Yin
S. Schaafsma
Henk Corporaal
H. Scholte
S. Bohté
30
2
0
18 Feb 2019
Multiple Document Representations from News Alerts for Automated
  Bio-surveillance Event Detection
Multiple Document Representations from News Alerts for Automated Bio-surveillance Event Detection
Aaron Tuor
Fnu Anubhav
L. Charles
23
0
0
17 Feb 2019
DeepFault: Fault Localization for Deep Neural Networks
DeepFault: Fault Localization for Deep Neural Networks
Hasan Ferit Eniser
Simos Gerasimou
A. Sen
AAML
81
88
0
15 Feb 2019
Fast Task-Aware Architecture Inference
Fast Task-Aware Architecture Inference
Efi Kokiopoulou
Anja Hauth
L. Sbaiz
Andrea Gesmundo
Gábor Bartók
Jesse Berent
3DV
74
17
0
15 Feb 2019
Network Offloading Policies for Cloud Robotics: a Learning-based
  Approach
Network Offloading Policies for Cloud Robotics: a Learning-based Approach
Sandeep P. Chinchali
Apoorva Sharma
James Harrison
Amine Elhafsi
Daniel Kang
Evgenya Pergament
Eyal Cidon
Sachin Katti
Marco Pavone
OffRL
66
107
0
15 Feb 2019
Learning to Adaptively Scale Recurrent Neural Networks
Learning to Adaptively Scale Recurrent Neural Networks
Hao Hu
Liqiang Wang
Guo-Jun Qi
AI4CE
49
10
0
15 Feb 2019
Going Deep in Medical Image Analysis: Concepts, Methods, Challenges and
  Future Directions
Going Deep in Medical Image Analysis: Concepts, Methods, Challenges and Future Directions
F. Altaf
Syed Mohammed Shamsul Islam
Naveed Akhtar
N. Janjua
OOD
113
201
0
15 Feb 2019
A Scalable Platform for Distributed Object Tracking across a Many-camera
  Network
A Scalable Platform for Distributed Object Tracking across a Many-camera Network
Aakash Khochare
Aravindhan K. Krishnan
Yogesh L. Simmhan
VOT
69
15
0
14 Feb 2019
An Optimized Recurrent Unit for Ultra-Low-Power Keyword Spotting
An Optimized Recurrent Unit for Ultra-Low-Power Keyword Spotting
Justice Amoh
K. Odame
67
18
0
13 Feb 2019
Why are Saliency Maps Noisy? Cause of and Solution to Noisy Saliency
  Maps
Why are Saliency Maps Noisy? Cause of and Solution to Noisy Saliency Maps
Beomsu Kim
Junghoon Seo
Seunghyun Jeon
Jamyoung Koo
J. Choe
Taegyun Jeon
FAtt
74
70
0
13 Feb 2019
Salus: Fine-Grained GPU Sharing Primitives for Deep Learning
  Applications
Salus: Fine-Grained GPU Sharing Primitives for Deep Learning Applications
Peifeng Yu
Mosharaf Chowdhury
57
73
0
12 Feb 2019
TensorSCONE: A Secure TensorFlow Framework using Intel SGX
TensorSCONE: A Secure TensorFlow Framework using Intel SGX
Roland Kunkel
D. Quoc
Franz Gregor
Sergei Arnautov
Pramod Bhatotia
Christof Fetzer
FedML
52
67
0
12 Feb 2019
Deep Reinforcement Learning from Policy-Dependent Human Feedback
Deep Reinforcement Learning from Policy-Dependent Human Feedback
Dilip Arumugam
Jun Ki Lee
S. Saskin
Michael L. Littman
76
100
0
12 Feb 2019
On Residual Networks Learning a Perturbation from Identity
On Residual Networks Learning a Perturbation from Identity
Michael Hauser
95
5
0
11 Feb 2019
MultiResUNet : Rethinking the U-Net Architecture for Multimodal
  Biomedical Image Segmentation
MultiResUNet : Rethinking the U-Net Architecture for Multimodal Biomedical Image Segmentation
Nabil Ibtehaz
Mohammad Sohel Rahman
SSeg
105
1,663
0
11 Feb 2019
Optimal Kronecker-Sum Approximation of Real Time Recurrent Learning
Optimal Kronecker-Sum Approximation of Real Time Recurrent Learning
Frederik Benzing
M. Gauy
Asier Mujika
A. Martinsson
Angelika Steger
126
23
0
11 Feb 2019
GET-AID: Visual Recognition of Human Rights Abuses via Global Emotional
  Traits
GET-AID: Visual Recognition of Human Rights Abuses via Global Emotional Traits
Grigorios Kalliatakis
Shoaib Ehsan
Maria Fasli
Klaus D. McDonald-Maier
26
0
0
11 Feb 2019
Paradigm shift in electron-based crystallography via machine learning
Paradigm shift in electron-based crystallography via machine learning
Kevin Kaufmann
Chaoyi Zhu
Alexander S. Rosengarten
Daniel Maryanovsky
Tyler J. Harrington
E. Marin
K. Vecchio
55
118
0
10 Feb 2019
Novelty Search for Deep Reinforcement Learning Policy Network Weights by
  Action Sequence Edit Metric Distance
Novelty Search for Deep Reinforcement Learning Policy Network Weights by Action Sequence Edit Metric Distance
Ethan C. Jackson
Mark Daley
55
20
0
08 Feb 2019
Addressing Overfitting on Pointcloud Classification using Atrous XCRF
Addressing Overfitting on Pointcloud Classification using Atrous XCRF
Hasan Asy’ari Arief
U. Indahl
G. Strand
H. Tveite
3DPC
51
37
0
08 Feb 2019
Fourier Neural Networks: A Comparative Study
Fourier Neural Networks: A Comparative Study
Abylay Zhumekenov
Malika Uteuliyeva
Olzhas Kabdolov
Rustem Takhanov
Z. Assylbekov
Alejandro J. Castro
61
34
0
08 Feb 2019
Crop Yield Prediction Using Deep Neural Networks
Crop Yield Prediction Using Deep Neural Networks
S. Khaki
Lizhi Wang
66
561
0
07 Feb 2019
Neural Inverse Knitting: From Images to Manufacturing Instructions
Neural Inverse Knitting: From Images to Manufacturing Instructions
Alexandre Kaspar
Tae-Hyun Oh
L. Makatura
Petr Kellnhofer
Jacqueline Aslarus
Wojciech Matusik
40
31
0
07 Feb 2019
Radial and Directional Posteriors for Bayesian Neural Networks
Radial and Directional Posteriors for Bayesian Neural Networks
Changyong Oh
Kamil Adamczewski
Mijung Park
BDL
115
20
0
07 Feb 2019
Extending Stein's unbiased risk estimator to train deep denoisers with
  correlated pairs of noisy images
Extending Stein's unbiased risk estimator to train deep denoisers with correlated pairs of noisy images
Magauiya Zhussip
Shakarim Soltanayev
S. Chun
OOD
37
3
0
07 Feb 2019
Neural Network Attributions: A Causal Perspective
Neural Network Attributions: A Causal Perspective
Aditya Chattopadhyay
Piyushi Manupriya
Anirban Sarkar
V. Balasubramanian
CML
102
146
0
06 Feb 2019
Technical Considerations for Semantic Segmentation in MRI using
  Convolutional Neural Networks
Technical Considerations for Semantic Segmentation in MRI using Convolutional Neural Networks
Arjun D Desai
G. Gold
B. Hargreaves
Akshay S. Chaudhari
72
30
0
05 Feb 2019
A Generalized Framework for Population Based Training
A Generalized Framework for Population Based Training
Ang Li
Ola Spyra
Sagi Perel
Valentin Dalibard
Max Jaderberg
Chenjie Gu
David Budden
Tim Harley
Pramod Gupta
89
68
0
05 Feb 2019
Deep Convolutional Generative Adversarial Networks Based Flame Detection
  in Video
Deep Convolutional Generative Adversarial Networks Based Flame Detection in Video
Süleyman Aslan
U. Güdükbay
B. U. Toreyin
A. Enis Çetin
GAN
19
12
0
05 Feb 2019
Low-latency job scheduling with preemption for the development of deep
  learning
Low-latency job scheduling with preemption for the development of deep learning
Hidehito Yabuuchi
Daisuke Taniwaki
Shingo Omura
26
6
0
05 Feb 2019
Declarative Data Analytics: a Survey
Declarative Data Analytics: a Survey
Nantia Makrynioti
V. Vassalos
28
16
0
04 Feb 2019
Deep One-Class Classification Using Intra-Class Splitting
Deep One-Class Classification Using Intra-Class Splitting
Patrick Schlachter
Yiwen Liao
Bin Yang
53
25
0
04 Feb 2019
Hop: Heterogeneity-Aware Decentralized Training
Hop: Heterogeneity-Aware Decentralized Training
Qinyi Luo
Jinkun Lin
Youwei Zhuo
Xuehai Qian
76
53
0
04 Feb 2019
Understanding Composition of Word Embeddings via Tensor Decomposition
Understanding Composition of Word Embeddings via Tensor Decomposition
Abraham Frandsen
Rong Ge
CoGe
42
10
0
02 Feb 2019
TF-Replicator: Distributed Machine Learning for Researchers
TF-Replicator: Distributed Machine Learning for Researchers
P. Buchlovsky
David Budden
Dominik Grewe
Chris Jones
John Aslanides
...
Aidan Clark
Sergio Gomez Colmenarejo
Aedan Pope
Fabio Viola
Dan Belov
GNNOffRLAI4CE
81
20
0
01 Feb 2019
ProteinNet: a standardized data set for machine learning of protein
  structure
ProteinNet: a standardized data set for machine learning of protein structure
Mohammed AlQuraishi
PINN
75
141
0
01 Feb 2019
Sharp Analysis for Nonconvex SGD Escaping from Saddle Points
Sharp Analysis for Nonconvex SGD Escaping from Saddle Points
Cong Fang
Zhouchen Lin
Tong Zhang
92
104
0
01 Feb 2019
A Geometric Perspective on Optimal Representations for Reinforcement
  Learning
A Geometric Perspective on Optimal Representations for Reinforcement Learning
Marc G. Bellemare
Will Dabney
Robert Dadashi
Adrien Ali Taïga
Pablo Samuel Castro
Nicolas Le Roux
Dale Schuurmans
Tor Lattimore
Clare Lyle
67
90
0
31 Jan 2019
Three-dimensional virtual refocusing of fluorescence microscopy images
  using deep learning
Three-dimensional virtual refocusing of fluorescence microscopy images using deep learning
Yichen Wu
Y. Rivenson
Hongda Wang
Yilin Luo
Eyal Ben-David
L. Bentolila
C. Pritz
Aydogan Ozcan
MedIm
57
188
0
31 Jan 2019
Memory-Efficient Adaptive Optimization
Memory-Efficient Adaptive Optimization
Rohan Anil
Vineet Gupta
Tomer Koren
Y. Singer
ODL
92
49
0
30 Jan 2019
Direct Feedback Alignment with Sparse Connections for Local Learning
Direct Feedback Alignment with Sparse Connections for Local Learning
Brian Crafton
A. Parihar
Evan Gebhardt
A. Raychowdhury
79
57
0
30 Jan 2019
Semantic Redundancies in Image-Classification Datasets: The 10% You
  Don't Need
Semantic Redundancies in Image-Classification Datasets: The 10% You Don't Need
Vighnesh Birodkar
H. Mobahi
Samy Bengio
88
82
0
29 Jan 2019
A Modular Benchmarking Infrastructure for High-Performance and
  Reproducible Deep Learning
A Modular Benchmarking Infrastructure for High-Performance and Reproducible Deep Learning
Tal Ben-Nun
Maciej Besta
Simon Huber
A. Ziogas
D. Peter
Torsten Hoefler
ELMALM
69
78
0
29 Jan 2019
An Investigation into Neural Net Optimization via Hessian Eigenvalue
  Density
An Investigation into Neural Net Optimization via Hessian Eigenvalue Density
Behrooz Ghorbani
Shankar Krishnan
Ying Xiao
ODL
130
326
0
29 Jan 2019
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