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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 / 4,260 papers shown
Title
A Light Dual-Task Neural Network for Haze Removal
A Light Dual-Task Neural Network for Haze Removal
Yu Zhang
Xinchao Wang
Xiaojun Bi
Dacheng Tao
71
13
0
12 Apr 2019
Expressive Body Capture: 3D Hands, Face, and Body from a Single Image
Expressive Body Capture: 3D Hands, Face, and Body from a Single Image
Georgios Pavlakos
Vasileios Choutas
N. Ghorbani
Timo Bolkart
Ahmed A. A. Osman
Dimitrios Tzionas
Michael J. Black
3DH
115
1,730
0
11 Apr 2019
Adapting RNN Sequence Prediction Model to Multi-label Set Prediction
Adapting RNN Sequence Prediction Model to Multi-label Set Prediction
Kechen Qin
Cheng Li
Virgil Pavlu
J. Aslam
47
26
0
11 Apr 2019
3D Dense Face Alignment via Graph Convolution Networks
3D Dense Face Alignment via Graph Convolution Networks
Huawei Wei
Shuang Liang
Yichen Wei
3DH3DVCVBM
60
25
0
11 Apr 2019
Least Squares Auto-Tuning
Least Squares Auto-Tuning
Shane T. Barratt
Stephen P. Boyd
MoMe
82
23
0
10 Apr 2019
A Variational Approach to Weakly Supervised Document-Level Multi-Aspect
  Sentiment Classification
A Variational Approach to Weakly Supervised Document-Level Multi-Aspect Sentiment Classification
Huiping Zhuang
Wenxuan Zhou
Xin Liu
Yangqiu Song
49
21
0
10 Apr 2019
ThumbNet: One Thumbnail Image Contains All You Need for Recognition
ThumbNet: One Thumbnail Image Contains All You Need for Recognition
Chen Zhao
Guohao Li
38
12
0
10 Apr 2019
Identifying Sub-Phenotypes of Acute Kidney Injury using Structured and
  Unstructured Electronic Health Record Data with Memory Networks
Identifying Sub-Phenotypes of Acute Kidney Injury using Structured and Unstructured Electronic Health Record Data with Memory Networks
Zhenxing Xu
Jingyuan Chou
Xi Sheryl Zhang
Yuan Luo
T. Isakova
...
Richard C. Kiefer
J. Pacheco
Luke Rasmussen
Jyotishman Pathak
Fei Wang
74
54
0
10 Apr 2019
Software and application patterns for explanation methods
Software and application patterns for explanation methods
Maximilian Alber
80
11
0
09 Apr 2019
Ultrafast Video Attention Prediction with Coupled Knowledge Distillation
Ultrafast Video Attention Prediction with Coupled Knowledge Distillation
K. Fu
Peipei Shi
Yafei Song
Shiming Ge
Xiangju Lu
Jia Li
40
10
0
09 Apr 2019
Hierarchical Temporal Convolutional Networks for Dynamic Recommender
  Systems
Hierarchical Temporal Convolutional Networks for Dynamic Recommender Systems
Jiaxuan You
Yichen Wang
Aditya Pal
Pong Eksombatchai
C. Rosenberg
J. Leskovec
73
125
0
08 Apr 2019
On nearly assumption-free tests of nominal confidence interval coverage
  for causal parameters estimated by machine learning
On nearly assumption-free tests of nominal confidence interval coverage for causal parameters estimated by machine learning
Lin Liu
Rajarshi Mukherjee
J. M. Robins
34
2
0
08 Apr 2019
Deep Learning Based Computed Tomography Whys and Wherefores
Deep Learning Based Computed Tomography Whys and Wherefores
S. Bazrafkan
V. V. Nieuwenhove
J. Soons
J. D. Beenhouwer
Jan Sijbers
63
8
0
08 Apr 2019
Temporal Convolution for Real-time Keyword Spotting on Mobile Devices
Temporal Convolution for Real-time Keyword Spotting on Mobile Devices
Seungwoo Choi
Seokjun Seo
Beomjun Shin
Hyeongmin Byun
Martin Kersner
Beomsu Kim
Dongyoung Kim
S. Ha
107
155
0
08 Apr 2019
FoveaBox: Beyond Anchor-based Object Detector
FoveaBox: Beyond Anchor-based Object Detector
Tao Kong
F. Sun
Huaping Liu
Yuning Jiang
Lei Li
Jianbo Shi
ObjD
102
209
0
08 Apr 2019
Resource Constrained Neural Network Architecture Search: Will a
  Submodularity Assumption Help?
Resource Constrained Neural Network Architecture Search: Will a Submodularity Assumption Help?
Yunyang Xiong
Ronak R. Mehta
Vikas Singh
101
33
0
08 Apr 2019
A Dilated Inception Network for Visual Saliency Prediction
A Dilated Inception Network for Visual Saliency Prediction
Sheng Yang
Guosheng Lin
Qiuping Jiang
Weisi Lin
74
129
0
07 Apr 2019
Self-supervised speaker embeddings
Self-supervised speaker embeddings
Themos Stafylakis
Johan Rohdin
Oldrich Plchot
Petr Mizera
L. Burget
SSL
50
48
0
06 Apr 2019
Convolutional Relational Machine for Group Activity Recognition
Convolutional Relational Machine for Group Activity Recognition
Sina Mokhtarzadeh Azar
Mina Ghadimi Atigh
A. Nickabadi
Alexandre Alahi
BDL
72
106
0
05 Apr 2019
Deep Learning Features for Robust Detection of Acoustic Events in
  Sleep-Disordered Breathing
Deep Learning Features for Robust Detection of Acoustic Events in Sleep-Disordered Breathing
Hector E. Romero
Ning Ma
Guy J. Brown
A. Beeston
Madina Hasan
38
20
0
05 Apr 2019
On the Equivalence of Automatic and Symbolic Differentiation
On the Equivalence of Automatic and Symbolic Differentiation
Soeren Laue
39
4
0
05 Apr 2019
Neural Models of the Psychosemantics of `Most'
Neural Models of the Psychosemantics of `Most'
Lewis O'Sullivan
Shane Steinert-Threlkeld
28
1
0
04 Apr 2019
Consistency by Agreement in Zero-shot Neural Machine Translation
Consistency by Agreement in Zero-shot Neural Machine Translation
Maruan Al-Shedivat
Ankur P. Parikh
103
57
0
04 Apr 2019
MAVNet: an Effective Semantic Segmentation Micro-Network for MAV-based
  Tasks
MAVNet: an Effective Semantic Segmentation Micro-Network for MAV-based Tasks
Ty Nguyen
Shreyas S. Shivakumar
Ian D. Miller
J. Keller
Elijah S. Lee
...
Giuseppe Loianno
Joseph H. Harwood
J. Wozencraft
Camillo J Taylor
Vijay Kumar
SSeg
82
35
0
03 Apr 2019
Identifying disease-free chest X-ray images with deep transfer learning
Identifying disease-free chest X-ray images with deep transfer learning
Ken C. L. Wong
Mehdi Moradi
Joy T. Wu
Tanveer Syeda-Mahmood
MedIm
25
20
0
02 Apr 2019
Why ResNet Works? Residuals Generalize
Why ResNet Works? Residuals Generalize
Fengxiang He
Tongliang Liu
Dacheng Tao
67
255
0
02 Apr 2019
Unsupervised training of neural mask-based beamforming
Unsupervised training of neural mask-based beamforming
Lukas Drude
Jahn Heymann
Reinhold Häb-Umbach
44
22
0
02 Apr 2019
Cyberthreat Detection from Twitter using Deep Neural Networks
Cyberthreat Detection from Twitter using Deep Neural Networks
Nuno Dionísio
Fernando Alves
Pedro M. Ferreira
A. Bessani
73
79
0
01 Apr 2019
Fast and Full-Resolution Light Field Deblurring using a Deep Neural
  Network
Fast and Full-Resolution Light Field Deblurring using a Deep Neural Network
Jonathan Samuel Lumentut
Tae Hyun Kim
R. Ramamoorthi
I. Park
49
11
0
31 Mar 2019
Integrating Semantic Knowledge to Tackle Zero-shot Text Classification
Integrating Semantic Knowledge to Tackle Zero-shot Text Classification
Jingqing Zhang
Piyawat Lertvittayakumjorn
Yike Guo
VLM
104
118
0
29 Mar 2019
DenseAttentionSeg: Segment Hands from Interacted Objects Using Depth
  Input
DenseAttentionSeg: Segment Hands from Interacted Objects Using Depth Input
Zihao Bo
Hang Zhang
Jun-hai Yong
F. Xu
42
11
0
29 Mar 2019
High Performance Monte Carlo Simulation of Ising Model on TPU Clusters
High Performance Monte Carlo Simulation of Ising Model on TPU Clusters
Kun Yang
Yi-Fan Chen
George Roumpos
Christopher Colby
John R. Anderson
102
51
0
27 Mar 2019
Scalable Deep Learning on Distributed Infrastructures: Challenges,
  Techniques and Tools
Scalable Deep Learning on Distributed Infrastructures: Challenges, Techniques and Tools
R. Mayer
Hans-Arno Jacobsen
GNN
83
193
0
27 Mar 2019
Cross-Modal Data Programming Enables Rapid Medical Machine Learning
Cross-Modal Data Programming Enables Rapid Medical Machine Learning
Jared A. Dunnmon
Alexander Ratner
Nishith Khandwala
Khaled Kamal Saab
Matthew Markert
...
R. Goldman
Christopher Lee-Messer
M. Lungren
D. Rubin
Christopher Ré
MedIm
89
73
0
26 Mar 2019
RILOD: Near Real-Time Incremental Learning for Object Detection at the
  Edge
RILOD: Near Real-Time Incremental Learning for Object Detection at the Edge
Dawei Li
Serafettin Tasci
Shalini Ghosh
Jingwen Zhu
Junting Zhang
Larry Heck
ObjD
71
9
0
26 Mar 2019
Robust Reference Frame Extraction from Unsteady 2D Vector Fields with
  Convolutional Neural Networks
Robust Reference Frame Extraction from Unsteady 2D Vector Fields with Convolutional Neural Networks
Byungsoo Kim
Tobias Günther
3DPC
38
43
0
25 Mar 2019
Periphery-Fovea Multi-Resolution Driving Model guided by Human Attention
Periphery-Fovea Multi-Resolution Driving Model guided by Human Attention
Ye Xia
Jinkyu Kim
John F. Canny
K. Zipser
D. Whitney
71
51
0
24 Mar 2019
TonY: An Orchestrator for Distributed Machine Learning Jobs
TonY: An Orchestrator for Distributed Machine Learning Jobs
Anthony Hsu
Keqiu Hu
Jonathan Hung
Arun Suresh
Zhe Zhang
36
5
0
24 Mar 2019
An End-to-End Network for Generating Social Relationship Graphs
An End-to-End Network for Generating Social Relationship Graphs
A. Goel
K. Ma
Cheston Tan
GNN
110
40
0
23 Mar 2019
Fast Underwater Image Enhancement for Improved Visual Perception
Fast Underwater Image Enhancement for Improved Visual Perception
M. Islam
Youya Xia
Junaed Sattar
GAN
76
914
0
23 Mar 2019
Recent advances in conversational NLP : Towards the standardization of
  Chatbot building
Recent advances in conversational NLP : Towards the standardization of Chatbot building
Maali Mnasri
41
30
0
21 Mar 2019
Stochastic Optimization of Sorting Networks via Continuous Relaxations
Stochastic Optimization of Sorting Networks via Continuous Relaxations
Aditya Grover
Eric Wang
Aaron Zweig
Stefano Ermon
101
174
0
21 Mar 2019
The importance of better models in stochastic optimization
The importance of better models in stochastic optimization
Hilal Asi
John C. Duchi
65
73
0
20 Mar 2019
Modelling Sequential Music Track Skips using a Multi-RNN Approach
Modelling Sequential Music Track Skips using a Multi-RNN Approach
Christian B. Hansen
Casper Hansen
Stephen Alstrup
J. Simonsen
Christina Lioma
41
9
0
20 Mar 2019
Convolution with even-sized kernels and symmetric padding
Convolution with even-sized kernels and symmetric padding
Shuang Wu
Guanrui Wang
Pei Tang
F. Chen
Luping Shi
49
70
0
20 Mar 2019
Regularize, Expand and Compress: Multi-task based Lifelong Learning via
  NonExpansive AutoML
Regularize, Expand and Compress: Multi-task based Lifelong Learning via NonExpansive AutoML
Jie Zhang
Junting Zhang
Shalini Ghosh
Dawei Li
Jingwen Zhu
Heming Zhang
Yalin Wang
CLL
29
2
0
20 Mar 2019
LookUP: Vision-Only Real-Time Precise Underground Localisation for
  Autonomous Mining Vehicles
LookUP: Vision-Only Real-Time Precise Underground Localisation for Autonomous Mining Vehicles
Fan Zeng
A. Jacobson
David Smith
Nigel Boswell
T. Peynot
Michael Milford
69
12
0
20 Mar 2019
Corners for Layout: End-to-End Layout Recovery from 360 Images
Corners for Layout: End-to-End Layout Recovery from 360 Images
Clara Fernandez-Labrador
José M. Fácil
Alejandro Pérez-Yus
C. Demonceaux
Javier Civera
Jose J. Guerrero
3DV
69
100
0
19 Mar 2019
Max-plus Operators Applied to Filter Selection and Model Pruning in
  Neural Networks
Max-plus Operators Applied to Filter Selection and Model Pruning in Neural Networks
Yunxiang Zhang
S. Blusseau
Santiago Velasco-Forero
Isabelle Bloch
Jesús Angulo
64
26
0
19 Mar 2019
Trained Quantization Thresholds for Accurate and Efficient Fixed-Point
  Inference of Deep Neural Networks
Trained Quantization Thresholds for Accurate and Efficient Fixed-Point Inference of Deep Neural Networks
Sambhav R. Jain
Albert Gural
Michael Wu
Chris Dick
MQ
116
152
0
19 Mar 2019
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