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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 / 4,253 papers shown
Title
Automatic Cross-Replica Sharding of Weight Update in Data-Parallel
  Training
Automatic Cross-Replica Sharding of Weight Update in Data-Parallel Training
Yuanzhong Xu
HyoukJoong Lee
Dehao Chen
Hongjun Choi
Blake A. Hechtman
Shibo Wang
82
42
0
28 Apr 2020
On Distributed Non-convex Optimization: Projected Subgradient Method For
  Weakly Convex Problems in Networks
On Distributed Non-convex Optimization: Projected Subgradient Method For Weakly Convex Problems in Networks
Shixiang Chen
Alfredo García
Shahin Shahrampour
59
5
0
28 Apr 2020
EM-GAN: Fast Stress Analysis for Multi-Segment Interconnect Using
  Generative Adversarial Networks
EM-GAN: Fast Stress Analysis for Multi-Segment Interconnect Using Generative Adversarial Networks
Wentian Jin
Sheriff Sadiqbatcha
Jinwei Zhang
S. Tan
14
0
0
27 Apr 2020
Fashionpedia: Ontology, Segmentation, and an Attribute Localization
  Dataset
Fashionpedia: Ontology, Segmentation, and an Attribute Localization Dataset
Menglin Jia
Mengyun Shi
Mikhail Sirotenko
Huayu Chen
Claire Cardie
B. Hariharan
Hartwig Adam
Serge J. Belongie
93
97
0
26 Apr 2020
SplitFed: When Federated Learning Meets Split Learning
SplitFed: When Federated Learning Meets Split Learning
Chandra Thapa
Pathum Chamikara Mahawaga Arachchige
S. Çamtepe
Lichao Sun
FedML
113
596
0
25 Apr 2020
CFR-RL: Traffic Engineering with Reinforcement Learning in SDN
CFR-RL: Traffic Engineering with Reinforcement Learning in SDN
Member Ieee Junjie Zhang
Minghao Ye
Senior Member Ieee Zehua Guo
Chen-Yu Yen
F. I. H. Jonathan Chao
37
139
0
24 Apr 2020
Computation on Sparse Neural Networks: an Inspiration for Future
  Hardware
Computation on Sparse Neural Networks: an Inspiration for Future Hardware
Fei Sun
Minghai Qin
Tianyun Zhang
Liu Liu
Yen-kuang Chen
Yuan Xie
110
7
0
24 Apr 2020
Towards Characterizing Adversarial Defects of Deep Learning Software
  from the Lens of Uncertainty
Towards Characterizing Adversarial Defects of Deep Learning Software from the Lens of Uncertainty
Xiyue Zhang
Xiaofei Xie
Lei Ma
Xiaoning Du
Q. Hu
Yang Liu
Jianjun Zhao
Meng Sun
AAML
60
79
0
24 Apr 2020
Joint Bilateral Learning for Real-time Universal Photorealistic Style
  Transfer
Joint Bilateral Learning for Real-time Universal Photorealistic Style Transfer
Xide Xia
Meng Zhang
Tianfan Xue
Zheng Sun
Hui Fang
Brian Kulis
Jiawen Chen
3DH
80
52
0
23 Apr 2020
Amortized Bayesian model comparison with evidential deep learning
Amortized Bayesian model comparison with evidential deep learning
Stefan T. Radev
Marco D’Alessandro
U. Mertens
A. Voss
Ullrich Kothe
Paul-Christian Bürkner
BDL
96
34
0
22 Apr 2020
SynthMorph: learning contrast-invariant registration without acquired
  images
SynthMorph: learning contrast-invariant registration without acquired images
Malte Hoffmann
Benjamin Billot
Douglas N. Greve
Juan Eugenio Iglesias
Bruce Fischl
Adrian Dalca
MedIm
79
163
0
21 Apr 2020
How to Train your DNN: The Network Operator Edition
How to Train your DNN: The Network Operator Edition
M. Chang
D. Bottini
Lisa Jian
Pranay Kumar
Aurojit Panda
S. Shenker
24
1
0
21 Apr 2020
Deep Learning for Time Series Forecasting: Tutorial and Literature
  Survey
Deep Learning for Time Series Forecasting: Tutorial and Literature Survey
Konstantinos Benidis
Syama Sundar Rangapuram
Valentin Flunkert
Bernie Wang
Danielle C. Maddix
...
David Salinas
Lorenzo Stella
François-Xavier Aubet
Laurent Callot
Tim Januschowski
AI4TS
99
201
0
21 Apr 2020
Partial Volume Segmentation of Brain MRI Scans of any Resolution and
  Contrast
Partial Volume Segmentation of Brain MRI Scans of any Resolution and Contrast
Benjamin Billot
Eleanor D. Robinson
Adrian Dalca
Juan Eugenio Iglesias
65
36
0
21 Apr 2020
Learning Continuous Treatment Policy and Bipartite Embeddings for
  Matching with Heterogeneous Causal Effects
Learning Continuous Treatment Policy and Bipartite Embeddings for Matching with Heterogeneous Causal Effects
Will Y. Zou
S. Shyam
Michael Mui
Mingshi Wang
Jan Pedersen
Zoubin Ghahramani
CML
58
2
0
21 Apr 2020
Heterogeneous Causal Learning for Effectiveness Optimization in User
  Marketing
Heterogeneous Causal Learning for Effectiveness Optimization in User Marketing
Will Y. Zou
Shuyang Du
James Lee
Jan Pedersen
CML
34
7
0
21 Apr 2020
Facial Action Unit Intensity Estimation via Semantic Correspondence
  Learning with Dynamic Graph Convolution
Facial Action Unit Intensity Estimation via Semantic Correspondence Learning with Dynamic Graph Convolution
Yingruo Fan
Jacqueline C. K. Lam
Victor O.K. Li
91
50
0
20 Apr 2020
MGX: Near-Zero Overhead Memory Protection for Data-Intensive
  Accelerators
MGX: Near-Zero Overhead Memory Protection for Data-Intensive Accelerators
Weizhe Hua
M. Umar
Zhiru Zhang
G. E. Suh
GNN
100
21
0
20 Apr 2020
Deep variational network for rapid 4D flow MRI reconstruction
Deep variational network for rapid 4D flow MRI reconstruction
V. Vishnevskiy
Jonas Walheim
Sebastian Kozerke
61
69
0
20 Apr 2020
Integer Quantization for Deep Learning Inference: Principles and
  Empirical Evaluation
Integer Quantization for Deep Learning Inference: Principles and Empirical Evaluation
Hao Wu
Patrick Judd
Xiaojie Zhang
Mikhail Isaev
Paulius Micikevicius
MQ
105
362
0
20 Apr 2020
Roundtrip: A Deep Generative Neural Density Estimator
Roundtrip: A Deep Generative Neural Density Estimator
Qiao Liu
Jiaze Xu
R. Jiang
W. Wong
OT
44
4
0
20 Apr 2020
Heterogeneous CPU+GPU Stochastic Gradient Descent Algorithms
Heterogeneous CPU+GPU Stochastic Gradient Descent Algorithms
Yujing Ma
Florin Rusu
33
3
0
19 Apr 2020
On the (Un)Reliability of Privacy Policies in Android Apps
On the (Un)Reliability of Privacy Policies in Android Apps
Luca Verderame
David J. Caputo
Andrea Romdhana
Alessio Merlo
22
25
0
18 Apr 2020
DynamicEmbedding: Extending TensorFlow for Colossal-Scale Applications
DynamicEmbedding: Extending TensorFlow for Colossal-Scale Applications
Yun Zeng
Siqi Zuo
Dongcai Shen
24
1
0
17 Apr 2020
Data-driven Flood Emulation: Speeding up Urban Flood Predictions by Deep
  Convolutional Neural Networks
Data-driven Flood Emulation: Speeding up Urban Flood Predictions by Deep Convolutional Neural Networks
Zifeng Guo
J. Leitão
N. Simões
V. Moosavi
AI4CE
43
120
0
17 Apr 2020
How to Teach DNNs to Pay Attention to the Visual Modality in Speech
  Recognition
How to Teach DNNs to Pay Attention to the Visual Modality in Speech Recognition
George Sterpu
Christian Saam
N. Harte
74
29
0
17 Apr 2020
GEVO: GPU Code Optimization using Evolutionary Computation
GEVO: GPU Code Optimization using Evolutionary Computation
Jhe-Yu Liou
Xiaodong Wang
Stephanie Forrest
Carole-Jean Wu
73
2
0
17 Apr 2020
A DICOM Framework for Machine Learning Pipelines against Real-Time
  Radiology Images
A DICOM Framework for Machine Learning Pipelines against Real-Time Radiology Images
P. Kathiravelu
Puneet Sharma
Ashish Sharma
Imon Banerjee
Hari M. Trivedi
S. Purkayastha
Priyanshu Sinha
A. Cadrin-Chênevert
Nabile M. Safdar
J. Gichoya
19
14
0
16 Apr 2020
TensorOpt: Exploring the Tradeoffs in Distributed DNN Training with
  Auto-Parallelism
TensorOpt: Exploring the Tradeoffs in Distributed DNN Training with Auto-Parallelism
Zhenkun Cai
Kaihao Ma
Xiao Yan
Yidi Wu
Yuzhen Huang
James Cheng
Teng Su
F. Yu
66
45
0
16 Apr 2020
Fully Automated Myocardial Strain Estimation from CMR Tagged Images
  using a Deep Learning Framework in the UK Biobank
Fully Automated Myocardial Strain Estimation from CMR Tagged Images using a Deep Learning Framework in the UK Biobank
E. Ferdian
Avan Suinesiaputra
K. Fung
N. Aung
E. Lukaschuk
...
J. Paiva
Stefan K. Piechnik
S. Neubauer
S. Petersen
Alistair Young
54
36
0
15 Apr 2020
NN-based Transformation of Any SQL Cardinality Estimator for Handling
  DISTINCT, AND, OR and NOT
NN-based Transformation of Any SQL Cardinality Estimator for Handling DISTINCT, AND, OR and NOT
Rojeh Hayek
O. Shmueli
25
3
0
15 Apr 2020
Eigendecomposition-Free Training of Deep Networks for Linear
  Least-Square Problems
Eigendecomposition-Free Training of Deep Networks for Linear Least-Square Problems
Zheng Dang
K. M. Yi
Yinlin Hu
Fei Wang
Pascal Fua
Mathieu Salzmann
63
12
0
15 Apr 2020
HODET: Hybrid Object DEtection and Tracking using mmWave Radar and
  Visual Sensors
HODET: Hybrid Object DEtection and Tracking using mmWave Radar and Visual Sensors
Joe Cyr
J. Vanderpool
Yu Chen
Xiaohua Li
58
4
0
15 Apr 2020
TXtract: Taxonomy-Aware Knowledge Extraction for Thousands of Product
  Categories
TXtract: Taxonomy-Aware Knowledge Extraction for Thousands of Product Categories
Giannis Karamanolakis
Jun Ma
Xin Luna Dong
61
65
0
15 Apr 2020
Towards a theory of machine learning
Towards a theory of machine learning
V. Vanchurin
60
24
0
15 Apr 2020
A Fortran-Keras Deep Learning Bridge for Scientific Computing
A Fortran-Keras Deep Learning Bridge for Scientific Computing
J. Ott
M. Pritchard
Natalie Best
Erik J. Linstead
M. Curcic
Pierre Baldi
AI4CE
57
98
0
14 Apr 2020
RealMonoDepth: Self-Supervised Monocular Depth Estimation for General
  Scenes
RealMonoDepth: Self-Supervised Monocular Depth Estimation for General Scenes
Mertalp Ocal
A. Mustafa
SSLMDE
57
9
0
14 Apr 2020
An Efficient UAV-based Artificial Intelligence Framework for Real-Time
  Visual Tasks
An Efficient UAV-based Artificial Intelligence Framework for Real-Time Visual Tasks
Enkhtogtokh Togootogtokh
C. Micheloni
G. Foresti
N. Martinel
13
3
0
13 Apr 2020
Punctuation Prediction in Spontaneous Conversations: Can We Mitigate ASR
  Errors with Retrofitted Word Embeddings?
Punctuation Prediction in Spontaneous Conversations: Can We Mitigate ASR Errors with Retrofitted Word Embeddings?
Lukasz Augustyniak
Piotr Szymañski
Mikolaj Morzy
Piotr Żelasko
Adrian Szymczak
Jan Mizgajski
Yishay Carmiel
Najim Dehak
KELM
46
7
0
13 Apr 2020
Deep-Edge: An Efficient Framework for Deep Learning Model Update on
  Heterogeneous Edge
Deep-Edge: An Efficient Framework for Deep Learning Model Update on Heterogeneous Edge
Anirban Bhattacharjee
A. Chhokra
Hongyang Sun
Shashank Shekhar
A. Gokhale
G. Karsai
A. Dubey
38
8
0
13 Apr 2020
Minimizing FLOPs to Learn Efficient Sparse Representations
Minimizing FLOPs to Learn Efficient Sparse Representations
Biswajit Paria
Chih-Kuan Yeh
Ian En-Hsu Yen
N. Xu
Pradeep Ravikumar
Barnabás Póczós
82
69
0
12 Apr 2020
Domain Adaptive Transfer Attack (DATA)-based Segmentation Networks for
  Building Extraction from Aerial Images
Domain Adaptive Transfer Attack (DATA)-based Segmentation Networks for Building Extraction from Aerial Images
Younghwan Na
Jun Hee Kim
Kyungsu Lee
Juhum Park
J. Hwang
Jihwan P. Choi
OOD
23
28
0
11 Apr 2020
Multi-task Learning via Adaptation to Similar Tasks for Mortality
  Prediction of Diverse Rare Diseases
Multi-task Learning via Adaptation to Similar Tasks for Mortality Prediction of Diverse Rare Diseases
Luchen Liu
Zequn Liu
Haoxian Wu
Zichang Wang
Jianhao Shen
Yiping Song
Ming Zhang
45
19
0
11 Apr 2020
Simulation-based Lidar Super-resolution for Ground Vehicles
Simulation-based Lidar Super-resolution for Ground Vehicles
Tixiao Shan
Jinkun Wang
Fanfei Chen
Paul Szenher
Brendan Englot
3DPC
41
59
0
10 Apr 2020
Rapidly Deploying a Neural Search Engine for the COVID-19 Open Research
  Dataset: Preliminary Thoughts and Lessons Learned
Rapidly Deploying a Neural Search Engine for the COVID-19 Open Research Dataset: Preliminary Thoughts and Lessons Learned
Edwin Zhang
Nikhil Gupta
Rodrigo Nogueira
Kyunghyun Cho
Jimmy J. Lin
55
58
0
10 Apr 2020
Boosting Semantic Human Matting with Coarse Annotations
Boosting Semantic Human Matting with Coarse Annotations
Jinlin Liu
Yuan Yao
Wendi Hou
Miaomiao Cui
Xuansong Xie
Changshui Zhang
Xiansheng Hua
3DH
80
90
0
10 Apr 2020
Multimodal Categorization of Crisis Events in Social Media
Multimodal Categorization of Crisis Events in Social Media
Mahdi Abavisani
Liwei Wu
Shengli Hu
Joel R. Tetreault
A. Jaimes
98
88
0
10 Apr 2020
Industrial Forecasting with Exponentially Smoothed Recurrent Neural
  Networks
Industrial Forecasting with Exponentially Smoothed Recurrent Neural Networks
M. Dixon
AI4TS
49
15
0
09 Apr 2020
Learning to Drive Off Road on Smooth Terrain in Unstructured
  Environments Using an On-Board Camera and Sparse Aerial Images
Learning to Drive Off Road on Smooth Terrain in Unstructured Environments Using an On-Board Camera and Sparse Aerial Images
Travis Manderson
Stefan Wapnick
David Meger
Gregory Dudek
73
34
0
09 Apr 2020
Nonlinear Dimensionality Reduction for Data Visualization: An
  Unsupervised Fuzzy Rule-based Approach
Nonlinear Dimensionality Reduction for Data Visualization: An Unsupervised Fuzzy Rule-based Approach
Suchismita Das
Nikhil Pal
16
8
0
08 Apr 2020
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