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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 / 4,263 papers shown
Title
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
Dense Depth Posterior (DDP) from Single Image and Sparse Range
Dense Depth Posterior (DDP) from Single Image and Sparse Range
Yanchao Yang
A. Wong
Stefano Soatto
90
143
0
28 Jan 2019
Progressive Label Distillation: Learning Input-Efficient Deep Neural
  Networks
Progressive Label Distillation: Learning Input-Efficient Deep Neural Networks
Z. Q. Lin
A. Wong
24
1
0
26 Jan 2019
Revisiting Self-Supervised Visual Representation Learning
Revisiting Self-Supervised Visual Representation Learning
Alexander Kolesnikov
Xiaohua Zhai
Lucas Beyer
SSL
211
719
0
25 Jan 2019
Ambitious Data Science Can Be Painless
Ambitious Data Science Can Be Painless
Hatef Monajemi
Riccardo Murri
Eric Jonas
Percy Liang
V. Stodden
D. Donoho
140
13
0
25 Jan 2019
F1/10: An Open-Source Autonomous Cyber-Physical Platform
F1/10: An Open-Source Autonomous Cyber-Physical Platform
Matthew O'Kelly
Varundev Sukhil
Houssam Abbas
J. Harkins
Chris Kao
...
Rahul Mangharam
Dipshil Agarwal
Madhur Behl
P. Burgio
Marko Bertogna
68
105
0
24 Jan 2019
Meta-Learning Mean Functions for Gaussian Processes
Meta-Learning Mean Functions for Gaussian Processes
Vincent Fortuin
Heiko Strathmann
Gunnar Rätsch
BDLFedMLMLT
125
29
0
23 Jan 2019
Backprop with Approximate Activations for Memory-efficient Network
  Training
Backprop with Approximate Activations for Memory-efficient Network Training
Ayan Chakrabarti
Benjamin Moseley
68
38
0
23 Jan 2019
Machine Learning for Wireless Communications in the Internet of Things:
  A Comprehensive Survey
Machine Learning for Wireless Communications in the Internet of Things: A Comprehensive Survey
Jithin Jagannath
Nicholas Polosky
Anu Jagannath
Francesco Restuccia
Tommaso Melodia
106
232
0
23 Jan 2019
Deep Clustering with a Dynamic Autoencoder: From Reconstruction towards
  Centroids Construction
Deep Clustering with a Dynamic Autoencoder: From Reconstruction towards Centroids Construction
Nairouz Mrabah
N. Khan
Riadh Ksantini
Z. Lachiri
93
65
0
23 Jan 2019
Neural-Guided Symbolic Regression with Asymptotic Constraints
Neural-Guided Symbolic Regression with Asymptotic Constraints
Li Li
Minjie Fan
Rishabh Singh
Patrick F. Riley
39
13
0
23 Jan 2019
Product-Aware Answer Generation in E-Commerce Question-Answering
Product-Aware Answer Generation in E-Commerce Question-Answering
Shen Gao
Zhaochun Ren
Yue Zhao
Dongyan Zhao
D. Yin
Rui Yan
77
82
0
23 Jan 2019
Sensitivity Analysis of Deep Neural Networks
Sensitivity Analysis of Deep Neural Networks
Hai Shu
Hongtu Zhu
AAML
46
53
0
22 Jan 2019
AccUDNN: A GPU Memory Efficient Accelerator for Training Ultra-deep
  Neural Networks
AccUDNN: A GPU Memory Efficient Accelerator for Training Ultra-deep Neural Networks
Jinrong Guo
Wantao Liu
Wang Wang
Q. Lu
Songlin Hu
Jizhong Han
Ruixuan Li
64
9
0
21 Jan 2019
LayoutGAN: Generating Graphic Layouts with Wireframe Discriminators
LayoutGAN: Generating Graphic Layouts with Wireframe Discriminators
Jianan Li
Jimei Yang
Aaron Hertzmann
Jianming Zhang
Tingfa Xu
GAN
77
231
0
21 Jan 2019
Friend, Collaborator, Student, Manager: How Design of an AI-Driven Game
  Level Editor Affects Creators
Friend, Collaborator, Student, Manager: How Design of an AI-Driven Game Level Editor Affects Creators
Matthew J. Guzdial
N. Liao
Jonathan Chen
Shao-Yu Chen
Shukan Shah
Vishwa Shah
Josh Reno
Gillian Smith
Mark O. Riedl
78
136
0
18 Jan 2019
Analysis of Large-Scale Multi-Tenant GPU Clusters for DNN Training
  Workloads
Analysis of Large-Scale Multi-Tenant GPU Clusters for DNN Training Workloads
Myeongjae Jeon
Shivaram Venkataraman
Amar Phanishayee
Junjie Qian
Wencong Xiao
Fan Yang
GNN
102
358
0
17 Jan 2019
Learning Generalizable and Identity-Discriminative Representations for
  Face Anti-Spoofing
Learning Generalizable and Identity-Discriminative Representations for Face Anti-Spoofing
X. Tu
Jian-jun Zhao
M. Xie
Guodong Du
Hengsheng Zhang
Jianshu Li
Zejun Ma
Jiashi Feng
CVBMOOD
57
91
0
17 Jan 2019
Class-Balanced Loss Based on Effective Number of Samples
Class-Balanced Loss Based on Effective Number of Samples
Huayu Chen
Menglin Jia
Nayeon Lee
Yang Song
Serge J. Belongie
202
2,302
0
16 Jan 2019
TensorFlow.js: Machine Learning for the Web and Beyond
TensorFlow.js: Machine Learning for the Web and Beyond
D. Smilkov
Nikhil Thorat
Yannick Assogba
Ann Yuan
Nick Kreeger
...
D. Sculley
R. Monga
G. Corrado
F. Viégas
Martin Wattenberg
118
174
0
16 Jan 2019
Cascade Decoder: A Universal Decoding Method for Biomedical Image
  Segmentation
Cascade Decoder: A Universal Decoding Method for Biomedical Image Segmentation
Peixian Liang
Jianxu Chen
Hao Zheng
Ling Yang
Yizhe Zhang
Benlin Liu
MedIm
46
13
0
15 Jan 2019
Conditional deep surrogate models for stochastic, high-dimensional, and
  multi-fidelity systems
Conditional deep surrogate models for stochastic, high-dimensional, and multi-fidelity systems
Yibo Yang
P. Perdikaris
SyDaBDLAI4CE
66
56
0
15 Jan 2019
Learning Autonomous Exploration and Mapping with Semantic Vision
Learning Autonomous Exploration and Mapping with Semantic Vision
Xiangyang Zhi
Xuming He
Sören Schwertfeger
128
9
0
15 Jan 2019
AutoPhase: Compiler Phase-Ordering for High Level Synthesis with Deep
  Reinforcement Learning
AutoPhase: Compiler Phase-Ordering for High Level Synthesis with Deep Reinforcement Learning
Ameer Haj-Ali
Qijing Huang
William S. Moses
J. Xiang
Ion Stoica
Krste Asanović
J. Wawrzynek
52
36
0
15 Jan 2019
Self-Supervised Deep Active Accelerated MRI
Self-Supervised Deep Active Accelerated MRI
Kyong Hwan Jin
M. Unser
K. M. Yi
OODMedIm
76
60
0
14 Jan 2019
Enhancing Explainability of Neural Networks through Architecture
  Constraints
Enhancing Explainability of Neural Networks through Architecture Constraints
Zebin Yang
Aijun Zhang
Agus Sudjianto
AAML
52
89
0
12 Jan 2019
Preventing Posterior Collapse with delta-VAEs
Preventing Posterior Collapse with delta-VAEs
Ali Razavi
Aaron van den Oord
Ben Poole
Oriol Vinyals
DRL
100
171
0
10 Jan 2019
Fast GPU-Enabled Color Normalization for Digital Pathology
Fast GPU-Enabled Color Normalization for Digital Pathology
Goutham Ramakrishnan
Deepak Anand
A. Sethi
OODMedIm
65
36
0
10 Jan 2019
Composite Shape Modeling via Latent Space Factorization
Composite Shape Modeling via Latent Space Factorization
Anastasia Dubrovina
Fei Xia
Panos Achlioptas
Mira Shalah
Raphael Groscot
Leonidas Guibas
3DV
132
64
0
09 Jan 2019
MSR: Multi-Scale Shape Regression for Scene Text Detection
MSR: Multi-Scale Shape Regression for Scene Text Detection
Chuhui Xue
Shijian Lu
Wei Zhang
85
131
0
09 Jan 2019
CROSSBOW: Scaling Deep Learning with Small Batch Sizes on Multi-GPU
  Servers
CROSSBOW: Scaling Deep Learning with Small Batch Sizes on Multi-GPU Servers
A. Koliousis
Pijika Watcharapichat
Matthias Weidlich
Kai Zou
Paolo Costa
Peter R. Pietzuch
70
70
0
08 Jan 2019
Learning Independent Object Motion from Unlabelled Stereoscopic Videos
Learning Independent Object Motion from Unlabelled Stereoscopic Videos
Zhe Cao
Abhishek Kar
Christian Häne
Jitendra Malik
84
34
0
07 Jan 2019
Learning-based Optimization of the Under-sampling Pattern in MRI
Learning-based Optimization of the Under-sampling Pattern in MRI
C. D. Bahadir
Adrian Dalca
M. Sabuncu
124
115
0
07 Jan 2019
RayNet: Learning Volumetric 3D Reconstruction with Ray Potentials
RayNet: Learning Volumetric 3D Reconstruction with Ray Potentials
Despoina Paschalidou
Ali O. Ulusoy
Carolin Schmitt
Luc van Gool
Andreas Geiger
3DV
77
92
0
06 Jan 2019
RNNSecureNet: Recurrent neural networks for Cyber security use-cases
RNNSecureNet: Recurrent neural networks for Cyber security use-cases
R. MohammedHarunBabu
R. Vinayakumar
K. Soman
13
9
0
05 Jan 2019
Efficient Representation Learning Using Random Walks for Dynamic Graphs
Efficient Representation Learning Using Random Walks for Dynamic Graphs
Hooman Peiro Sajjad
Andrew Docherty
Y. Tyshetskiy
59
27
0
05 Jan 2019
Can You Trust This Prediction? Auditing Pointwise Reliability After
  Learning
Can You Trust This Prediction? Auditing Pointwise Reliability After Learning
Peter F. Schulam
Suchi Saria
OOD
101
104
0
02 Jan 2019
FPGA-based Accelerators of Deep Learning Networks for Learning and
  Classification: A Review
FPGA-based Accelerators of Deep Learning Networks for Learning and Classification: A Review
Ahmad Shawahna
S. M. Sait
A. El-Maleh
77
380
0
01 Jan 2019
A Noise-Sensitivity-Analysis-Based Test Prioritization Technique for
  Deep Neural Networks
A Noise-Sensitivity-Analysis-Based Test Prioritization Technique for Deep Neural Networks
Long Zhang
Xuechao Sun
Yong Li
Zhenyu Zhang
AAML
53
22
0
01 Jan 2019
Accurate, Data-Efficient, Unconstrained Text Recognition with
  Convolutional Neural Networks
Accurate, Data-Efficient, Unconstrained Text Recognition with Convolutional Neural Networks
Mohamed Yousef
K. Hussain
U. S. Mohammed
3DV
98
126
0
31 Dec 2018
Cascaded V-Net using ROI masks for brain tumor segmentation
Cascaded V-Net using ROI masks for brain tumor segmentation
Adrià Casamitjana
Hugo J. Kuijf
Bjoern Menze
M. Reyes
Verónica Vilaplana
71
196
0
30 Dec 2018
Monte-Carlo Sampling applied to Multiple Instance Learning for
  Histological Image Classification
Monte-Carlo Sampling applied to Multiple Instance Learning for Histological Image Classification
Marc Combalia
João Paulo Papa
83
83
0
30 Dec 2018
A High-Performance CNN Method for Offline Handwritten Chinese Character
  Recognition and Visualization
A High-Performance CNN Method for Offline Handwritten Chinese Character Recognition and Visualization
Pavlo Melnyk
Zhiqiang You
Keqin Li
54
73
0
30 Dec 2018
Attention-Based Capsule Networks with Dynamic Routing for Relation
  Extraction
Attention-Based Capsule Networks with Dynamic Routing for Relation Extraction
Ningyu Zhang
Shumin Deng
Zhanlin Sun
Xi Chen
Wei Zhang
Huajun Chen
GNN
75
98
0
29 Dec 2018
Drug cell line interaction prediction
Drug cell line interaction prediction
Pengfei Liu
71
117
0
28 Dec 2018
Improving the Interpretability of Deep Neural Networks with Knowledge
  Distillation
Improving the Interpretability of Deep Neural Networks with Knowledge Distillation
Xuan Liu
Xiaoguang Wang
Stan Matwin
HAI
73
101
0
28 Dec 2018
Stanza: Layer Separation for Distributed Training in Deep Learning
Stanza: Layer Separation for Distributed Training in Deep Learning
Xiaorui Wu
Hongao Xu
Bo Li
Y. Xiong
MoE
61
9
0
27 Dec 2018
Deconfounding Reinforcement Learning in Observational Settings
Deconfounding Reinforcement Learning in Observational Settings
Chaochao Lu
Bernhard Schölkopf
José Miguel Hernández-Lobato
CMLOOD
173
75
0
26 Dec 2018
A Multi-Stream Convolutional Neural Network Framework for Group Activity
  Recognition
A Multi-Stream Convolutional Neural Network Framework for Group Activity Recognition
Sina Mokhtarzadeh Azar
Mina Ghadimi Atigh
A. Nickabadi
40
22
0
26 Dec 2018
Deep learning electromagnetic inversion with convolutional neural
  networks
Deep learning electromagnetic inversion with convolutional neural networks
V. Puzyrev
AI4CE
50
198
0
26 Dec 2018
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