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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
Zhiwen 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 / 1,083 papers shown
Title
Unsupervised Deep Homography: A Fast and Robust Homography Estimation
  Model
Unsupervised Deep Homography: A Fast and Robust Homography Estimation Model
Ty Nguyen
Steven W. Chen
Shreyas S. Shivakumar
Camillo J Taylor
Vijay Kumar
28
279
0
12 Sep 2017
Reversible Architectures for Arbitrarily Deep Residual Neural Networks
Reversible Architectures for Arbitrarily Deep Residual Neural Networks
B. Chang
Lili Meng
E. Haber
Lars Ruthotto
David Begert
E. Holtham
AI4CE
36
261
0
12 Sep 2017
Image Processing Operations Identification via Convolutional Neural
  Network
Image Processing Operations Identification via Convolutional Neural Network
Bolin Chen
Haodong Li
Weiqi Luo
13
30
0
09 Sep 2017
TensorFlow Agents: Efficient Batched Reinforcement Learning in
  TensorFlow
TensorFlow Agents: Efficient Batched Reinforcement Learning in TensorFlow
Danijar Hafner
James Davidson
Vincent Vanhoucke
OffRL
19
49
0
08 Sep 2017
DeepFense: Online Accelerated Defense Against Adversarial Deep Learning
DeepFense: Online Accelerated Defense Against Adversarial Deep Learning
B. Rouhani
Mohammad Samragh
Mojan Javaheripi
T. Javidi
F. Koushanfar
AAML
12
15
0
08 Sep 2017
Deep Subspace Clustering Networks
Deep Subspace Clustering Networks
Pan Ji
Tong Zhang
Hongdong Li
Mathieu Salzmann
Ian Reid
SSL
32
510
0
08 Sep 2017
Multi-label Class-imbalanced Action Recognition in Hockey Videos via 3D
  Convolutional Neural Networks
Multi-label Class-imbalanced Action Recognition in Hockey Videos via 3D Convolutional Neural Networks
Konstantin Sozykin
Stanislav Protasov
A. Khan
Rasheed Hussain
Jooyoung Lee
35
45
0
05 Sep 2017
Predicting Remaining Useful Life using Time Series Embeddings based on
  Recurrent Neural Networks
Predicting Remaining Useful Life using Time Series Embeddings based on Recurrent Neural Networks
Narendhar Gugulothu
T. Vishnu
Pankaj Malhotra
Lovekesh Vig
Puneet Agarwal
Gautam M. Shroff
AI4TS
38
145
0
04 Sep 2017
Understanding the Logical and Semantic Structure of Large Documents
Understanding the Logical and Semantic Structure of Large Documents
M. Rahman
Timothy W. Finin
AILaw
11
16
0
03 Sep 2017
Glyph-aware Embedding of Chinese Characters
Glyph-aware Embedding of Chinese Characters
Falcon Z. Dai
Zheng Jon Cai
27
39
0
31 Aug 2017
Simultaneously Color-Depth Super-Resolution with Conditional Generative
  Adversarial Network
Simultaneously Color-Depth Super-Resolution with Conditional Generative Adversarial Network
Lijun Zhao
H. Bai
Jie Liang
Bing Zeng
Anhong Wang
Yao-Min Zhao
GAN
31
23
0
30 Aug 2017
Reasoning about Fine-grained Attribute Phrases using Reference Games
Reasoning about Fine-grained Attribute Phrases using Reference Games
Jong-Chyi Su
Chenyun Wu
Huaizu Jiang
Subhransu Maji
34
16
0
29 Aug 2017
DeepTest: Automated Testing of Deep-Neural-Network-driven Autonomous
  Cars
DeepTest: Automated Testing of Deep-Neural-Network-driven Autonomous Cars
Yuchi Tian
Kexin Pei
Suman Jana
Baishakhi Ray
AAML
42
1,352
0
28 Aug 2017
Relaxed Spatio-Temporal Deep Feature Aggregation for Real-Fake
  Expression Prediction
Relaxed Spatio-Temporal Deep Feature Aggregation for Real-Fake Expression Prediction
Savas Ozkan
G. Akar
15
4
0
24 Aug 2017
More cat than cute? Interpretable Prediction of Adjective-Noun Pairs
More cat than cute? Interpretable Prediction of Adjective-Noun Pairs
Delia Fernandez
A. Woodward
Victor Campos
Xavier Giró-i-Nieto
Brendan Jou
Shih-Fu Chang
14
7
0
21 Aug 2017
Language Identification Using Deep Convolutional Recurrent Neural
  Networks
Language Identification Using Deep Convolutional Recurrent Neural Networks
Christian Bartz
Tom Herold
Haojin Yang
Christoph Meinel
27
80
0
16 Aug 2017
Scalable Joint Models for Reliable Uncertainty-Aware Event Prediction
Scalable Joint Models for Reliable Uncertainty-Aware Event Prediction
Hossein Soleimani
J. Hensman
Suchi Saria
21
60
0
16 Aug 2017
Image Quality Assessment Guided Deep Neural Networks Training
Image Quality Assessment Guided Deep Neural Networks Training
Zhuo Chen
Weisi Lin
Shiqi Wang
Long Xu
Leida Li
33
9
0
13 Aug 2017
Distributed Training Large-Scale Deep Architectures
Distributed Training Large-Scale Deep Architectures
Shang-Xuan Zou
Chun-Yen Chen
Jui-Lin Wu
Chun-Nan Chou
Chia-Chin Tsao
Kuan-Chieh Tung
Ting-Wei Lin
Cheng-Lung Sung
Edward Y. Chang
26
22
0
10 Aug 2017
A Unified Model for Near and Remote Sensing
A Unified Model for Near and Remote Sensing
Scott Workman
Menghua Zhai
David J. Crandall
Nathan Jacobs
41
59
0
09 Aug 2017
Multi-Generator Generative Adversarial Nets
Multi-Generator Generative Adversarial Nets
Q. Hoang
T. Nguyen
Trung Le
Dinh Q. Phung
GAN
25
65
0
08 Aug 2017
A Convolutional Neural Network for Search Term Detection
A Convolutional Neural Network for Search Term Detection
Hojjat Salehinejad
Joseph Barfett
P. Aarabi
S. Valaee
E. Colak
Bruce Gray
T. Dowdell
29
8
0
07 Aug 2017
An Information-Theoretic Optimality Principle for Deep Reinforcement
  Learning
An Information-Theoretic Optimality Principle for Deep Reinforcement Learning
Felix Leibfried
Jordi Grau-Moya
Haitham Bou-Ammar
38
24
0
06 Aug 2017
Automatic Question-Answering Using A Deep Similarity Neural Network
Automatic Question-Answering Using A Deep Similarity Neural Network
Shervin Minaee
Zhu Liu
32
49
0
05 Aug 2017
Sensing Urban Land-Use Patterns By Integrating Google Tensorflow And
  Scene-Classification Models
Sensing Urban Land-Use Patterns By Integrating Google Tensorflow And Scene-Classification Models
Yao Yao
Haolin Liang
Xia Li
Jinbao Zhang
Jialv He
32
19
0
04 Aug 2017
CASSL: Curriculum Accelerated Self-Supervised Learning
CASSL: Curriculum Accelerated Self-Supervised Learning
Adithyavairavan Murali
Lerrel Pinto
Dhiraj Gandhi
Abhinav Gupta
SSL
27
35
0
04 Aug 2017
Low Dose CT Image Denoising Using a Generative Adversarial Network with
  Wasserstein Distance and Perceptual Loss
Low Dose CT Image Denoising Using a Generative Adversarial Network with Wasserstein Distance and Perceptual Loss
Qingsong Yang
Pingkun Yan
Yanbo Zhang
Hengyong Yu
Yongyi Shi
X. Mou
Mannudeep K. Kalra
Ge Wang
GAN
MedIm
32
1,189
0
03 Aug 2017
Meta-SGD: Learning to Learn Quickly for Few-Shot Learning
Meta-SGD: Learning to Learn Quickly for Few-Shot Learning
Zhenguo Li
Fengwei Zhou
Fei Chen
Hang Li
23
1,113
0
31 Jul 2017
Analysis and Optimization of Convolutional Neural Network Architectures
Analysis and Optimization of Convolutional Neural Network Architectures
Martin Thoma
30
72
0
31 Jul 2017
Owl: A General-Purpose Numerical Library in OCaml
Owl: A General-Purpose Numerical Library in OCaml
Liang Wang
32
22
0
30 Jul 2017
Graph Classification with 2D Convolutional Neural Networks
Graph Classification with 2D Convolutional Neural Networks
A. Tixier
Giannis Nikolentzos
Polykarpos Meladianos
Michalis Vazirgiannis
GNN
26
23
0
29 Jul 2017
DARLA: Improving Zero-Shot Transfer in Reinforcement Learning
DARLA: Improving Zero-Shot Transfer in Reinforcement Learning
I. Higgins
Arka Pal
Andrei A. Rusu
Loic Matthey
Christopher P. Burgess
Alexander Pritzel
M. Botvinick
Charles Blundell
Alexander Lerchner
DRL
45
411
0
26 Jul 2017
Using Program Induction to Interpret Transition System Dynamics
Using Program Induction to Interpret Transition System Dynamics
Svetlin Penkov
S. Ramamoorthy
AI4CE
46
11
0
26 Jul 2017
MMGAN: Manifold Matching Generative Adversarial Network
MMGAN: Manifold Matching Generative Adversarial Network
Noseong Park
A. Anand
Joel Ruben Antony Moniz
Kookjin Lee
Tanmoy Chakraborty
Jaegul Choo
Hongkyu Park
Youngmin Kim
GAN
64
8
0
26 Jul 2017
Learned Primal-dual Reconstruction
Learned Primal-dual Reconstruction
J. Adler
Ozan Oktem
MedIm
26
747
0
20 Jul 2017
Learning Approximate Neural Estimators for Wireless Channel State
  Information
Learning Approximate Neural Estimators for Wireless Channel State Information
Tim O'Shea
Kiran Karra
T. Clancy
21
46
0
19 Jul 2017
Orthogonal and Idempotent Transformations for Learning Deep Neural
  Networks
Orthogonal and Idempotent Transformations for Learning Deep Neural Networks
Jingdong Wang
Yajie Xing
Kexin Zhang
Cha Zhang
259
2
0
19 Jul 2017
Discovering Class-Specific Pixels for Weakly-Supervised Semantic
  Segmentation
Discovering Class-Specific Pixels for Weakly-Supervised Semantic Segmentation
Arslan Chaudhry
P. Dokania
Philip Torr
22
123
0
18 Jul 2017
Unsupervised Heart-rate Estimation in Wearables With Liquid States and A
  Probabilistic Readout
Unsupervised Heart-rate Estimation in Wearables With Liquid States and A Probabilistic Readout
Anup Das
P. Pradhapan
W. Groenendaal
Prathyusha Adiraju
R. Rajan
F. Catthoor
S. Schaafsma
J. Krichmar
N. Dutt
C. Hoof
24
73
0
18 Jul 2017
TensorLog: Deep Learning Meets Probabilistic DBs
TensorLog: Deep Learning Meets Probabilistic DBs
William W. Cohen
Fan Yang
Kathryn Mazaitis
NAI
16
39
0
17 Jul 2017
Foolbox: A Python toolbox to benchmark the robustness of machine
  learning models
Foolbox: A Python toolbox to benchmark the robustness of machine learning models
Jonas Rauber
Wieland Brendel
Matthias Bethge
AAML
9
283
0
13 Jul 2017
SCAN: Learning Hierarchical Compositional Visual Concepts
SCAN: Learning Hierarchical Compositional Visual Concepts
I. Higgins
Nicolas Sonnerat
Loic Matthey
Arka Pal
Christopher P. Burgess
Matko Bosnjak
Murray Shanahan
M. Botvinick
Demis Hassabis
Alexander Lerchner
OCL
DRL
CoGe
24
51
0
11 Jul 2017
Deep Learning-Based Communication Over the Air
Deep Learning-Based Communication Over the Air
Sebastian Dörner
Sebastian Cammerer
J. Hoydis
S. Brink
29
706
0
11 Jul 2017
DeepTrend: A Deep Hierarchical Neural Network for Traffic Flow
  Prediction
DeepTrend: A Deep Hierarchical Neural Network for Traffic Flow Prediction
Xingyuan Dai
Rui Fu
Yilun Lin
Li Li
Feiyue Wang
AI4TS
28
48
0
11 Jul 2017
Diffusion Convolutional Recurrent Neural Network: Data-Driven Traffic
  Forecasting
Diffusion Convolutional Recurrent Neural Network: Data-Driven Traffic Forecasting
Yaguang Li
Rose Yu
Cyrus Shahabi
Yan Liu
GNN
DiffM
AI4TS
59
99
0
06 Jul 2017
Hindsight Experience Replay
Hindsight Experience Replay
Marcin Andrychowicz
Dwight Crow
Alex Ray
Jonas Schneider
Rachel Fong
Peter Welinder
Bob McGrew
Joshua Tobin
Pieter Abbeel
Wojciech Zaremba
OffRL
135
2,298
0
05 Jul 2017
Wasserstein Distance Guided Representation Learning for Domain
  Adaptation
Wasserstein Distance Guided Representation Learning for Domain Adaptation
Jian Shen
Yanru Qu
Weinan Zhang
Yong Yu
OOD
36
31
0
05 Jul 2017
Skeleton-aided Articulated Motion Generation
Skeleton-aided Articulated Motion Generation
Yichao Yan
Jingwei Xu
Bingbing Ni
Xiaokang Yang
3DH
35
87
0
04 Jul 2017
ECHO: An Adaptive Orchestration Platform for Hybrid Dataflows across
  Cloud and Edge
ECHO: An Adaptive Orchestration Platform for Hybrid Dataflows across Cloud and Edge
P. Ravindra
Aakash Khochare
S. Reddy
Sarthak Sharma
Prateeksha Varshney
Yogesh L. Simmhan
19
53
0
04 Jul 2017
Detection and Localization of Image Forgeries using Resampling Features
  and Deep Learning
Detection and Localization of Image Forgeries using Resampling Features and Deep Learning
Jason Bunk
Jawadul H. Bappy
Tajuddin Manhar Mohammed
L. Nataraj
A. Flenner
B. S. Manjunath
S. Chandrasekaran
Amit K. Roy-Chowdhury
Lawrence A. Peterson
14
165
0
03 Jul 2017
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