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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
A Feasible Framework for Arbitrary-Shaped Scene Text Recognition
A Feasible Framework for Arbitrary-Shaped Scene Text Recognition
Jinjin Zhang
Wei Wang
Di Huang
Qingjie Liu
Yunhong Wang
58
4
0
10 Dec 2019
SMAUG: End-to-End Full-Stack Simulation Infrastructure for Deep Learning
  Workloads
SMAUG: End-to-End Full-Stack Simulation Infrastructure for Deep Learning Workloads
S. Xi
Yuan Yao
K. Bhardwaj
P. Whatmough
Gu-Yeon Wei
David Brooks
41
32
0
10 Dec 2019
Self-supervised Object Motion and Depth Estimation from Video
Self-supervised Object Motion and Depth Estimation from Video
Qi Dai
Vaishakh Patil
Simon Hecker
Dengxin Dai
Luc Van Gool
Konrad Schindler
MDE
53
43
0
09 Dec 2019
JAX, M.D.: A Framework for Differentiable Physics
JAX, M.D.: A Framework for Differentiable Physics
S. Schoenholz
E. D. Cubuk
65
38
0
09 Dec 2019
Short-term Load Forecasting with Dense Average Network
Short-term Load Forecasting with Dense Average Network
Zhifang Liao
Haihui Pan
Qi Zeng
Xiaoping Fan
Yan Zhang
Song Yu
51
20
0
08 Dec 2019
Neural Networks with Cheap Differential Operators
Neural Networks with Cheap Differential Operators
Ricky T. Q. Chen
David Duvenaud
67
35
0
08 Dec 2019
Comparison of Neuronal Attention Models
Comparison of Neuronal Attention Models
Mohamed Karim Belaid
38
1
0
07 Dec 2019
VALAN: Vision and Language Agent Navigation
VALAN: Vision and Language Agent Navigation
L. Lansing
Vihan Jain
Harsh Mehta
Haoshuo Huang
Eugene Ie
LM&RoAI4TS
58
8
0
06 Dec 2019
Achieving Robustness in the Wild via Adversarial Mixing with
  Disentangled Representations
Achieving Robustness in the Wild via Adversarial Mixing with Disentangled Representations
Sven Gowal
Chongli Qin
Po-Sen Huang
taylan. cemgil
Krishnamurthy Dvijotham
Timothy A. Mann
Pushmeet Kohli
AAMLOOD
76
57
0
06 Dec 2019
Hyperbolic Graph Attention Network
Hyperbolic Graph Attention Network
Yiding Zhang
Tianlin Li
Xunqiang Jiang
C. Shi
Yanfang Ye
GNN
88
134
0
06 Dec 2019
Towards Interpretable and Learnable Risk Analysis for Entity Resolution
Towards Interpretable and Learnable Risk Analysis for Entity Resolution
Zhaoqiang Chen
Qun Chen
Boyi Hou
Tianyi Duan
Zhanhuai Li
Guoliang Li
96
22
0
06 Dec 2019
Combining Q-Learning and Search with Amortized Value Estimates
Combining Q-Learning and Search with Amortized Value Estimates
Jessica B. Hamrick
V. Bapst
Alvaro Sanchez-Gonzalez
Tobias Pfaff
T. Weber
Lars Buesing
Peter W. Battaglia
OffRL
87
48
0
05 Dec 2019
Towards Understanding Residual and Dilated Dense Neural Networks via
  Convolutional Sparse Coding
Towards Understanding Residual and Dilated Dense Neural Networks via Convolutional Sparse Coding
Zhiyang Zhang
Shihua Zhang
72
15
0
05 Dec 2019
Collective Learning
Collective Learning
Francesco Farina
FedML
78
23
0
05 Dec 2019
The Search for Sparse, Robust Neural Networks
The Search for Sparse, Robust Neural Networks
J. Cosentino
Federico Zaiter
Dan Pei
Jun Zhu
AAMLOOD
45
18
0
05 Dec 2019
Hierarchical Indian Buffet Neural Networks for Bayesian Continual
  Learning
Hierarchical Indian Buffet Neural Networks for Bayesian Continual Learning
Samuel Kessler
Vu Nguyen
S. Zohren
Stephen J. Roberts
BDL
94
25
0
04 Dec 2019
Neural Machine Translation: A Review and Survey
Neural Machine Translation: A Review and Survey
Felix Stahlberg
3DVAI4TSMedIm
140
332
0
04 Dec 2019
Deep Physiological State Space Model for Clinical Forecasting
Deep Physiological State Space Model for Clinical Forecasting
Yuan Xue
Denny Zhou
Nan Du
Andrew M. Dai
Zhen Xu
Kun Zhang
Claire Cui
35
2
0
04 Dec 2019
Variable Selection with Rigorous Uncertainty Quantification using Deep
  Bayesian Neural Networks: Posterior Concentration and Bernstein-von Mises
  Phenomenon
Variable Selection with Rigorous Uncertainty Quantification using Deep Bayesian Neural Networks: Posterior Concentration and Bernstein-von Mises Phenomenon
Jeremiah Zhe Liu
BDL
151
8
0
03 Dec 2019
Value-laden Disciplinary Shifts in Machine Learning
Value-laden Disciplinary Shifts in Machine Learning
Ravit Dotan
S. Milli
AILaw
84
48
0
03 Dec 2019
LOGAN: Latent Optimisation for Generative Adversarial Networks
LOGAN: Latent Optimisation for Generative Adversarial Networks
Yongpeng Wu
Jeff Donahue
David Balduzzi
Karen Simonyan
Timothy Lillicrap
GAN
108
88
0
02 Dec 2019
Audiovisual Transformer Architectures for Large-Scale Classification and
  Synchronization of Weakly Labeled Audio Events
Audiovisual Transformer Architectures for Large-Scale Classification and Synchronization of Weakly Labeled Audio Events
Wim Boes
Hugo Van hamme
80
17
0
02 Dec 2019
ReD-CaNe: A Systematic Methodology for Resilience Analysis and Design of
  Capsule Networks under Approximations
ReD-CaNe: A Systematic Methodology for Resilience Analysis and Design of Capsule Networks under Approximations
Alberto Marchisio
Vojtěch Mrázek
Muhammad Abdullah Hanif
Mohamed Bennai
AAML
56
15
0
02 Dec 2019
How to GAN away Detector Effects
How to GAN away Detector Effects
Marco Bellagente
A. Butter
Gregor Kasieczka
Tilman Plehn
R. Winterhalder
GAN
89
87
0
01 Dec 2019
Quantized deep learning models on low-power edge devices for robotic
  systems
Quantized deep learning models on low-power edge devices for robotic systems
Anugraha Sinha
Naveen Kumar
Murukesh Mohanan
Md. Mahin Rahman
Y. Quemener
Amina Mim
Suzana Ilić
28
1
0
30 Nov 2019
Deep Networks with Adaptive Nyström Approximation
Deep Networks with Adaptive Nyström Approximation
Luc Giffon
Stéphane Ayache
Thierry Artières
Hachem Kadri
47
3
0
29 Nov 2019
Towards Oracle Knowledge Distillation with Neural Architecture Search
Towards Oracle Knowledge Distillation with Neural Architecture Search
Minsoo Kang
Jonghwan Mun
Bohyung Han
FedML
109
44
0
29 Nov 2019
Semi-Relaxed Quantization with DropBits: Training Low-Bit Neural Networks via Bit-wise Regularization
J. H. Lee
Jihun Yun
Sung Ju Hwang
Eunho Yang
MQ
24
0
0
29 Nov 2019
Multimodal Affective States Recognition Based on Multiscale CNNs and
  Biologically Inspired Decision Fusion Model
Multimodal Affective States Recognition Based on Multiscale CNNs and Biologically Inspired Decision Fusion Model
Yuxuan Zhao
Xinyan Cao
Jinlong Lin
Dunshan Yu
Xixin Cao
54
29
0
29 Nov 2019
Solving Inverse Wave Scattering with Deep Learning
Solving Inverse Wave Scattering with Deep Learning
Yuwei Fan
Lexing Ying
73
28
0
27 Nov 2019
Federated Learning for Ranking Browser History Suggestions
Federated Learning for Ranking Browser History Suggestions
Florian Hartmann
Sunah Suh
Arkadiusz Komarzewski
Tim Smith
I. Segall
FedML
62
55
0
26 Nov 2019
DeepJSCC-f: Deep Joint Source-Channel Coding of Images with Feedback
DeepJSCC-f: Deep Joint Source-Channel Coding of Images with Feedback
David Burth Kurka
Deniz Gündüz
109
312
0
25 Nov 2019
Solving Traveltime Tomography with Deep Learning
Solving Traveltime Tomography with Deep Learning
Yuwei Fan
Lexing Ying
92
15
0
25 Nov 2019
Mitigate Bias in Face Recognition using Skewness-Aware Reinforcement
  Learning
Mitigate Bias in Face Recognition using Skewness-Aware Reinforcement Learning
Mei Wang
Weihong Deng
CVBM
102
235
0
25 Nov 2019
SelfVIO: Self-Supervised Deep Monocular Visual-Inertial Odometry and
  Depth Estimation
SelfVIO: Self-Supervised Deep Monocular Visual-Inertial Odometry and Depth Estimation
Yasin Almalioglu
Mehmet Turan
Alp Eren Sari
Muhamad Risqi U. Saputra
Pedro Porto Buarque de Gusmão
Andrew Markham
A. Trigoni
MDE
78
94
0
22 Nov 2019
Graph Convolution Networks for Probabilistic Modeling of Driving
  Acceleration
Graph Convolution Networks for Probabilistic Modeling of Driving Acceleration
Jianyu Su
Peter A. Beling
Rui Guo
Kyungtae Han
GNN
71
13
0
22 Nov 2019
Separate and Attend in Personal Email Search
Separate and Attend in Personal Email Search
Yu Meng
Maryam Karimzadehgan
Honglei Zhuang
Donald Metzler
FedML
424
2
0
21 Nov 2019
OmniFold: A Method to Simultaneously Unfold All Observables
OmniFold: A Method to Simultaneously Unfold All Observables
Anders Andreassen
Patrick T. Komiske
E. Metodiev
Benjamin Nachman
Jesse Thaler
69
114
0
20 Nov 2019
A CNN-RNN Framework for Crop Yield Prediction
A CNN-RNN Framework for Crop Yield Prediction
S. Khaki
Lizhi Wang
S. Archontoulis
84
451
0
20 Nov 2019
Local AdaAlter: Communication-Efficient Stochastic Gradient Descent with
  Adaptive Learning Rates
Local AdaAlter: Communication-Efficient Stochastic Gradient Descent with Adaptive Learning Rates
Cong Xie
Oluwasanmi Koyejo
Indranil Gupta
Yanghua Peng
66
42
0
20 Nov 2019
Inspect Transfer Learning Architecture with Dilated Convolution
Inspect Transfer Learning Architecture with Dilated Convolution
Syeda Noor Jaha Azim
Md. Aminur Rab Ratul
31
0
0
20 Nov 2019
Deep Motion Blur Removal Using Noisy/Blurry Image Pairs
Deep Motion Blur Removal Using Noisy/Blurry Image Pairs
Shuang Zhang
Ada Zhen
R. Stevenson
44
15
0
19 Nov 2019
Attention-Privileged Reinforcement Learning
Attention-Privileged Reinforcement Learning
Sasha Salter
Dushyant Rao
Markus Wulfmeier
R. Hadsell
Ingmar Posner
104
8
0
19 Nov 2019
Learning Modulated Loss for Rotated Object Detection
Learning Modulated Loss for Rotated Object Detection
W. Qian
Xue Yang
Silong Peng
Yue Guo
C. Yan
103
333
0
19 Nov 2019
Fast and Accurate 3D Hand Pose Estimation via Recurrent Neural Network
  for Capturing Hand Articulations
Fast and Accurate 3D Hand Pose Estimation via Recurrent Neural Network for Capturing Hand Articulations
Cheol-Hwan Yoo
Seo-Won Ji
Y. Shin
Seung-Wook Kim
Sung-Jea Ko
3DH
49
8
0
18 Nov 2019
Extra Proximal-Gradient Inspired Non-local Network
Extra Proximal-Gradient Inspired Non-local Network
Qingchao Zhang
Yunmei Chen
26
1
0
17 Nov 2019
Kvasir-SEG: A Segmented Polyp Dataset
Kvasir-SEG: A Segmented Polyp Dataset
Debesh Jha
P. Smedsrud
Michael A. Riegler
Pål Halvorsen
Thomas de Lange
Dag Johansen
Haavard D. Johansen
197
1,191
0
16 Nov 2019
ResUNet++: An Advanced Architecture for Medical Image Segmentation
ResUNet++: An Advanced Architecture for Medical Image Segmentation
Debesh Jha
P. Smedsrud
Michael A. Riegler
Dag Johansen
Thomas de Lange
Pål Halvorsen
H. Johansen
SSeg
94
934
0
16 Nov 2019
Utterance-to-Utterance Interactive Matching Network for Multi-Turn
  Response Selection in Retrieval-Based Chatbots
Utterance-to-Utterance Interactive Matching Network for Multi-Turn Response Selection in Retrieval-Based Chatbots
Jia-Chen Gu
Zhenhua Ling
Quan Liu
73
43
0
16 Nov 2019
Modelling EHR timeseries by restricting feature interaction
Modelling EHR timeseries by restricting feature interaction
Kun Zhang
Yuan Xue
Gerardo Flores
A. Rajkomar
Claire Cui
Andrew M. Dai
35
6
0
14 Nov 2019
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