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TensorFlow: A system for large-scale machine learning

TensorFlow: A system for large-scale machine learning

27 May 2016
Martín Abadi
P. Barham
Jianmin Chen
Z. 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
    GNN
    AI4CE
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Papers citing "TensorFlow: A system for large-scale machine learning"

50 / 3,017 papers shown
Title
Learning to Sketch with Deep Q Networks and Demonstrated Strokes
Learning to Sketch with Deep Q Networks and Demonstrated Strokes
Tao Zhou
Chen Fang
Zhaowen Wang
Jimei Yang
Byungmoon Kim
Zhili Chen
Jonathan Brandt
Demetri Terzopoulos
14
7
0
14 Oct 2018
Training Deep Neural Network in Limited Precision
Training Deep Neural Network in Limited Precision
Hyunsun Park
J. Lee
Youngmin Oh
Sangwon Ha
Seungwon Lee
19
8
0
12 Oct 2018
Energy Flow Networks: Deep Sets for Particle Jets
Energy Flow Networks: Deep Sets for Particle Jets
Patrick T. Komiske
E. Metodiev
Jesse Thaler
PINN
3DPC
24
251
0
11 Oct 2018
Conditional Generative Refinement Adversarial Networks for Unbalanced
  Medical Image Semantic Segmentation
Conditional Generative Refinement Adversarial Networks for Unbalanced Medical Image Semantic Segmentation
Mina Rezaei
Haojin Yang
Christoph Meinel
GAN
SSeg
MedIm
22
21
0
09 Oct 2018
Security Analysis of Deep Neural Networks Operating in the Presence of
  Cache Side-Channel Attacks
Security Analysis of Deep Neural Networks Operating in the Presence of Cache Side-Channel Attacks
Sanghyun Hong
Michael Davinroy
Yigitcan Kaya
S. Locke
Ian Rackow
Kevin Kulda
Dana Dachman-Soled
Tudor Dumitras
MIACV
25
90
0
08 Oct 2018
POLO: a POLicy-based Optimization library
POLO: a POLicy-based Optimization library
Arda Aytekin
Martin Biel
M. Johansson
20
3
0
08 Oct 2018
Deep Model-Based 6D Pose Refinement in RGB
Deep Model-Based 6D Pose Refinement in RGB
Fabian Manhardt
Wadim Kehl
Nassir Navab
Federico Tombari
3DH
13
167
0
07 Oct 2018
Characterizing Deep-Learning I/O Workloads in TensorFlow
Characterizing Deep-Learning I/O Workloads in TensorFlow
Steven W. D. Chien
Stefano Markidis
C. Sishtla
Luís Santos
Pawel Herman
Sai B. Narasimhamurthy
Erwin Laure
13
50
0
06 Oct 2018
PPO-CMA: Proximal Policy Optimization with Covariance Matrix Adaptation
PPO-CMA: Proximal Policy Optimization with Covariance Matrix Adaptation
Perttu Hämäläinen
Amin Babadi
Xiaoxiao Ma
J. Lehtinen
19
61
0
05 Oct 2018
Co-Learning Feature Fusion Maps from PET-CT Images of Lung Cancer
Co-Learning Feature Fusion Maps from PET-CT Images of Lung Cancer
Ashnil Kumar
M. Fulham
D. Feng
Jinman Kim
MedIm
24
165
0
05 Oct 2018
A Convergence Analysis of Gradient Descent for Deep Linear Neural
  Networks
A Convergence Analysis of Gradient Descent for Deep Linear Neural Networks
Sanjeev Arora
Nadav Cohen
Noah Golowich
Wei Hu
16
280
0
04 Oct 2018
Detecting DGA domains with recurrent neural networks and side
  information
Detecting DGA domains with recurrent neural networks and side information
Ryan R. Curtin
Andrew B. Gardner
Slawomir Grzonkowski
A. Kleymenov
Alejandro Mosquera
AAML
6
64
0
04 Oct 2018
Learning Scheduling Algorithms for Data Processing Clusters
Learning Scheduling Algorithms for Data Processing Clusters
Hongzi Mao
Malte Schwarzkopf
S. Venkatakrishnan
Zili Meng
Mohammad Alizadeh
OffRL
20
635
0
03 Oct 2018
Extreme Augmentation : Can deep learning based medical image
  segmentation be trained using a single manually delineated scan?
Extreme Augmentation : Can deep learning based medical image segmentation be trained using a single manually delineated scan?
Bilwaj Gaonkar
Matthew Edwards
Alex A. T. Bui
Matthew A. Brown
Luke Macyszyn
18
7
0
03 Oct 2018
PromID: human promoter prediction by deep learning
PromID: human promoter prediction by deep learning
Ramzan Umarov
Hiroyuki Kuwahara
Yu-Hu Li
Xin Gao
Victor V. Solovyev
HAI
14
7
0
02 Oct 2018
AI Benchmark: Running Deep Neural Networks on Android Smartphones
AI Benchmark: Running Deep Neural Networks on Android Smartphones
Andrey D. Ignatov
Radu Timofte
William Chou
Ke Wang
Max Wu
Tim Hartley
Luc Van Gool
ELM
14
320
0
02 Oct 2018
Interpretable Neuron Structuring with Graph Spectral Regularization
Interpretable Neuron Structuring with Graph Spectral Regularization
Alexander Tong
David van Dijk
Jay S. Stanley
Matthew Amodio
Kristina M. Yim
R. Muhle
J. Noonan
Guy Wolf
Smita Krishnaswamy
19
6
0
30 Sep 2018
Non-local NetVLAD Encoding for Video Classification
Non-local NetVLAD Encoding for Video Classification
Yongyi Tang
Xing Zhang
Jingwen Wang
Shaoxiang Chen
Lin Ma
Yu-Gang Jiang
11
41
0
29 Sep 2018
Towards Automated Post-Earthquake Inspections with Deep Learning-based
  Condition-Aware Models
Towards Automated Post-Earthquake Inspections with Deep Learning-based Condition-Aware Models
Vedhus Hoskere
Y. Narazaki
T. Hoang
B. Spencer
16
48
0
24 Sep 2018
Learning to Read by Spelling: Towards Unsupervised Text Recognition
Learning to Read by Spelling: Towards Unsupervised Text Recognition
Ankush Gupta
Andrea Vedaldi
Andrew Zisserman
SSL
17
20
0
23 Sep 2018
Quantifying total uncertainty in physics-informed neural networks for
  solving forward and inverse stochastic problems
Quantifying total uncertainty in physics-informed neural networks for solving forward and inverse stochastic problems
Dongkun Zhang
Lu Lu
Ling Guo
George Karniadakis
UQCV
15
397
0
21 Sep 2018
Egocentric Vision-based Future Vehicle Localization for Intelligent
  Driving Assistance Systems
Egocentric Vision-based Future Vehicle Localization for Intelligent Driving Assistance Systems
Yu Yao
Mingze Xu
Chiho Choi
David J. Crandall
E. Atkins
Behzad Dariush
EgoV
31
116
0
19 Sep 2018
Labyrinth: Compiling Imperative Control Flow to Parallel Dataflows
Labyrinth: Compiling Imperative Control Flow to Parallel Dataflows
G. Gévay
T. Rabl
S. Breß
Lorand Madai-Tahy
Volker Markl
AI4CE
11
5
0
18 Sep 2018
Powerful, transferable representations for molecules through intelligent
  task selection in deep multitask networks
Powerful, transferable representations for molecules through intelligent task selection in deep multitask networks
Clyde Fare
Lukas Turcani
Edward O. Pyzer-Knapp
22
13
0
17 Sep 2018
Real-Time Dense Mapping for Self-driving Vehicles using Fisheye Cameras
Real-Time Dense Mapping for Self-driving Vehicles using Fisheye Cameras
Zhaopeng Cui
Lionel Heng
Y. Yeo
Andreas Geiger
Marc Pollefeys
Torsten Sattler
MDE
22
38
0
17 Sep 2018
Deterministic Implementations for Reproducibility in Deep Reinforcement
  Learning
Deterministic Implementations for Reproducibility in Deep Reinforcement Learning
P. Nagarajan
Garrett A. Warnell
Peter Stone
10
51
0
15 Sep 2018
Auto-tuning Distributed Stream Processing Systems using Reinforcement
  Learning
Auto-tuning Distributed Stream Processing Systems using Reinforcement Learning
Luis M. Vaquero
Félix Cuadrado
OffRL
22
18
0
14 Sep 2018
Hardware-Aware Machine Learning: Modeling and Optimization
Hardware-Aware Machine Learning: Modeling and Optimization
Diana Marculescu
Dimitrios Stamoulis
E. Cai
13
45
0
14 Sep 2018
Adaptive Sampling Towards Fast Graph Representation Learning
Adaptive Sampling Towards Fast Graph Representation Learning
Wen-bing Huang
Tong Zhang
Yu Rong
Junzhou Huang
GNN
9
487
0
14 Sep 2018
Deep Learning-based Image Super-Resolution Considering Quantitative and
  Perceptual Quality
Deep Learning-based Image Super-Resolution Considering Quantitative and Perceptual Quality
Jun-Ho Choi
Jun-Hyuk Kim
Manri Cheon
Jong-Seok Lee
SupR
14
40
0
13 Sep 2018
EEG-based video identification using graph signal modeling and graph
  convolutional neural network
EEG-based video identification using graph signal modeling and graph convolutional neural network
Soobeom Jang
Seong-Eun Moon
Jong-Seok Lee
17
49
0
12 Sep 2018
Torchbearer: A Model Fitting Library for PyTorch
Torchbearer: A Model Fitting Library for PyTorch
Ethan Harris
Matthew Painter
Jonathon S. Hare
FedML
14
3
0
10 Sep 2018
SECS: Efficient Deep Stream Processing via Class Skew Dichotomy
SECS: Efficient Deep Stream Processing via Class Skew Dichotomy
Boyuan Feng
Kun Wan
Shu Yang
Yufei Ding
28
4
0
07 Sep 2018
Adversarial Over-Sensitivity and Over-Stability Strategies for Dialogue
  Models
Adversarial Over-Sensitivity and Over-Stability Strategies for Dialogue Models
Tong Niu
Mohit Bansal
AAML
21
85
0
06 Sep 2018
DeepHunter: Hunting Deep Neural Network Defects via Coverage-Guided
  Fuzzing
DeepHunter: Hunting Deep Neural Network Defects via Coverage-Guided Fuzzing
Xiaofei Xie
L. Ma
Felix Juefei Xu
Hongxu Chen
Minhui Xue
Bo-wen Li
Yang Liu
Jianjun Zhao
Jianxiong Yin
Simon See
32
40
0
04 Sep 2018
Improving the Expressiveness of Deep Learning Frameworks with Recursion
Improving the Expressiveness of Deep Learning Frameworks with Recursion
Eunji Jeong
Joo Seong Jeong
Soojeong Kim
Gyeong-In Yu
Byung-Gon Chun
23
18
0
04 Sep 2018
Chest X-ray Inpainting with Deep Generative Models
Chest X-ray Inpainting with Deep Generative Models
Ecem Sogancioglu
Shi Hu
Davide Belli
Bram van Ginneken
GAN
MedIm
16
20
0
29 Aug 2018
Smoothed Dilated Convolutions for Improved Dense Prediction
Smoothed Dilated Convolutions for Improved Dense Prediction
Zhengyang Wang
Shuiwang Ji
27
160
0
27 Aug 2018
Attentive Sequence to Sequence Translation for Localizing Clips of
  Interest by Natural Language Descriptions
Attentive Sequence to Sequence Translation for Localizing Clips of Interest by Natural Language Descriptions
Ke Ning
Linchao Zhu
Ming Cai
Yi Yang
Di Xie
Fei Wu
13
2
0
27 Aug 2018
Data Motifs: A Lens Towards Fully Understanding Big Data and AI
  Workloads
Data Motifs: A Lens Towards Fully Understanding Big Data and AI Workloads
Wanling Gao
Jianfeng Zhan
Lei Wang
Chunjie Luo
Daoyi Zheng
...
Chen Zheng
Xu Wen
Qiang Yang
Haibin Wang
Rui Ren
9
35
0
26 Aug 2018
Are You Tampering With My Data?
Are You Tampering With My Data?
Michele Alberti
Vinaychandran Pondenkandath
Marcel Würsch
Manuel Bouillon
Mathias Seuret
Rolf Ingold
Marcus Liwicki
AAML
35
19
0
21 Aug 2018
Multi-Perspective Context Aggregation for Semi-supervised Cloze-style
  Reading Comprehension
Multi-Perspective Context Aggregation for Semi-supervised Cloze-style Reading Comprehension
Liang Wang
Sujian Li
Wei-Ye Zhao
Kewei Shen
Meng Sun
Ruoyu Jia
Jingming Liu
20
7
0
20 Aug 2018
Cache Telepathy: Leveraging Shared Resource Attacks to Learn DNN
  Architectures
Cache Telepathy: Leveraging Shared Resource Attacks to Learn DNN Architectures
Mengjia Yan
Christopher W. Fletcher
Josep Torrellas
MIACV
FedML
15
244
0
14 Aug 2018
Multimodal Deep Neural Networks using Both Engineered and Learned
  Representations for Biodegradability Prediction
Multimodal Deep Neural Networks using Both Engineered and Learned Representations for Biodegradability Prediction
Garrett B. Goh
Khushmeen Sakloth
Charles Siegel
Abhinav Vishnu
J. Pfaendtner
HAI
25
11
0
13 Aug 2018
A Domain Guided CNN Architecture for Predicting Age from Structural
  Brain Images
A Domain Guided CNN Architecture for Predicting Age from Structural Brain Images
Pascal Sturmfels
S. Rutherford
Mike Angstadt
Mark Peterson
Chandra S. Sripada
Jenna Wiens
MedIm
17
23
0
11 Aug 2018
Automatically designing CNN architectures using genetic algorithm for
  image classification
Automatically designing CNN architectures using genetic algorithm for image classification
Y. Sun
Bing Xue
Mengjie Zhang
Gary G. Yen
3DV
19
603
0
11 Aug 2018
Neural Machine Translation Inspired Binary Code Similarity Comparison
  beyond Function Pairs
Neural Machine Translation Inspired Binary Code Similarity Comparison beyond Function Pairs
F. Zuo
Xiaopeng Li
Patrick Young
Lannan Luo
Qiang Zeng
Zhexin Zhang
19
224
0
08 Aug 2018
Parallax: Sparsity-aware Data Parallel Training of Deep Neural Networks
Parallax: Sparsity-aware Data Parallel Training of Deep Neural Networks
Soojeong Kim
Gyeong-In Yu
Hojin Park
Sungwoo Cho
Eunji Jeong
Hyeonmin Ha
Sanha Lee
Joo Seong Jeong
Byung-Gon Chun
15
73
0
08 Aug 2018
Dynamic Temporal Pyramid Network: A Closer Look at Multi-Scale Modeling
  for Activity Detection
Dynamic Temporal Pyramid Network: A Closer Look at Multi-Scale Modeling for Activity Detection
Da Zhang
Xiyang Dai
Yuan-fang Wang
19
41
0
07 Aug 2018
Deep convolutional recurrent autoencoders for learning low-dimensional
  feature dynamics of fluid systems
Deep convolutional recurrent autoencoders for learning low-dimensional feature dynamics of fluid systems
F. J. Gonzalez
Maciej Balajewicz
AI4CE
17
138
0
03 Aug 2018
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