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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
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Papers citing "TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems"

50 / 1,083 papers shown
Title
Overcomplete Deep Subspace Clustering Networks
Overcomplete Deep Subspace Clustering Networks
Jeya Maria Jose Valanarasu
Vishal M. Patel
40
15
0
16 Nov 2020
Multi-modal, multi-task, multi-attention (M3) deep learning detection of
  reticular pseudodrusen: towards automated and accessible classification of
  age-related macular degeneration
Multi-modal, multi-task, multi-attention (M3) deep learning detection of reticular pseudodrusen: towards automated and accessible classification of age-related macular degeneration
Qingyu Chen
T. Keenan
Alexis Allot
Yifan Peng
Elvira Agrón
...
Chantal Cousineau-Krieger
W. Wong
Yingying Zhu
E. Chew
Zhiyong Lu
MedIm
33
20
0
09 Nov 2020
Identifying Exoplanets with Deep Learning. IV. Removing Stellar Activity
  Signals from Radial Velocity Measurements Using Neural Networks
Identifying Exoplanets with Deep Learning. IV. Removing Stellar Activity Signals from Radial Velocity Measurements Using Neural Networks
Zoe L. de Beurs
A. Vanderburg
Christopher J. Shallue
X. Dumusque
A. Cameron
...
K. Rice
D. Sasselov
A. Sozzetti
S. Udry
C. Watson
24
15
0
30 Oct 2020
Teaching a GAN What Not to Learn
Teaching a GAN What Not to Learn
Siddarth Asokan
C. Seelamantula
GAN
14
19
0
29 Oct 2020
Complex data labeling with deep learning methods: Lessons from fisheries
  acoustics
Complex data labeling with deep learning methods: Lessons from fisheries acoustics
J. M. Sarr
T. Brochier
P. Brehmer
Y. Perrot
A. Bah
Abdoulaye Sarré
M. A. Jeyid
M. Sidibeh
S. E. Ayoubi
26
13
0
21 Oct 2020
Multi-task Metric Learning for Text-independent Speaker Verification
Yafeng Chen
Wu Guo
Jing Shi
Jiajun Qi
Tan Liu
188
0
0
21 Oct 2020
Anomaly Detection With Conditional Variational Autoencoders
Anomaly Detection With Conditional Variational Autoencoders
Adrian Alan Pol
Victor Berger
G. Cerminara
Cécile Germain
M. Pierini
CML
DRL
24
111
0
12 Oct 2020
Towards a Scalable and Distributed Infrastructure for Deep Learning
  Applications
Towards a Scalable and Distributed Infrastructure for Deep Learning Applications
Bita Hasheminezhad
S. Shirzad
Nanmiao Wu
Patrick Diehl
Hannes Schulz
Hartmut Kaiser
GNN
AI4CE
53
4
0
06 Oct 2020
Diversity/Parallelism Trade-off in Distributed Systems with Redundancy
Diversity/Parallelism Trade-off in Distributed Systems with Redundancy
Pei Peng
E. Soljanin
P. Whiting
32
14
0
05 Oct 2020
Fully Automatic Intervertebral Disc Segmentation Using Multimodal 3D
  U-Net
Fully Automatic Intervertebral Disc Segmentation Using Multimodal 3D U-Net
Chuanbo Wang
Ye Guo
Wei Chen
Zeyun Yu
22
21
0
28 Sep 2020
Deep Adversarial Transition Learning using Cross-Grafted Generative
  Stacks
Deep Adversarial Transition Learning using Cross-Grafted Generative Stacks
Jinyong Hou
Xuejie Ding
Stephen Cranefield
Jeremiah D. Deng
GAN
33
7
0
25 Sep 2020
End-to-End Prediction of Parcel Delivery Time with Deep Learning for
  Smart-City Applications
End-to-End Prediction of Parcel Delivery Time with Deep Learning for Smart-City Applications
Arthur Cruz de Araujo
Ali Etemad
16
35
0
23 Sep 2020
Augmented Convolutional LSTMs for Generation of High-Resolution Climate
  Change Projections
Augmented Convolutional LSTMs for Generation of High-Resolution Climate Change Projections
Nidhin Harilal
Udit Bhatia
M. Singh
AI4Cl
11
25
0
23 Sep 2020
Harnessing Multilinguality in Unsupervised Machine Translation for Rare
  Languages
Harnessing Multilinguality in Unsupervised Machine Translation for Rare Languages
Xavier Garcia
Aditya Siddhant
Orhan Firat
Ankur P. Parikh
35
31
0
23 Sep 2020
Information-Theoretic Visual Explanation for Black-Box Classifiers
Information-Theoretic Visual Explanation for Black-Box Classifiers
Jihun Yi
Eunji Kim
Siwon Kim
Sungroh Yoon
FAtt
25
6
0
23 Sep 2020
FusionStitching: Boosting Memory Intensive Computations for Deep
  Learning Workloads
FusionStitching: Boosting Memory Intensive Computations for Deep Learning Workloads
Zhen Zheng
Pengzhan Zhao
Guoping Long
Feiwen Zhu
Kai Zhu
Wenyi Zhao
Lansong Diao
Jun Yang
Wei Lin
27
29
0
23 Sep 2020
Review: Deep Learning in Electron Microscopy
Review: Deep Learning in Electron Microscopy
Jeffrey M. Ede
46
79
0
17 Sep 2020
Indoor environment data time-series reconstruction using autoencoder
  neural networks
Indoor environment data time-series reconstruction using autoencoder neural networks
Antonio Liguori
Romana Markovic
Thi Thu Ha Dam
J. Frisch
C. Treeck
F. Causone
AI4CE
9
36
0
17 Sep 2020
Quantifying the Preferential Direction of the Model Gradient in
  Adversarial Training With Projected Gradient Descent
Quantifying the Preferential Direction of the Model Gradient in Adversarial Training With Projected Gradient Descent
Ricardo Bigolin Lanfredi
Joyce D. Schroeder
Tolga Tasdizen
27
11
0
10 Sep 2020
Automatic detection of microsleep episodes with deep learning
Automatic detection of microsleep episodes with deep learning
A. Malafeev
Anneke Hertig-Godeschalk
David R. Schreier
J. Skorucak
J. Mathis
P. Achermann
21
15
0
07 Sep 2020
A Partial Regularization Method for Network Compression
E. Zhenqian
Weiguo Gao
21
0
0
03 Sep 2020
Geometry-guided Dense Perspective Network for Speech-Driven Facial
  Animation
Geometry-guided Dense Perspective Network for Speech-Driven Facial Animation
Jing-ying Liu
Binyuan Hui
Kun Li
Yunke Liu
Yu-kun Lai
Yuxiang Zhang
Yebin Liu
Jingyu Yang
3DH
CVBM
31
22
0
23 Aug 2020
A Survey of Visual Analytics Techniques for Machine Learning
A Survey of Visual Analytics Techniques for Machine Learning
Jun Yuan
Changjian Chen
Weikai Yang
Mengchen Liu
Jiazhi Xia
Shixia Liu
30
219
0
21 Aug 2020
AIPerf: Automated machine learning as an AI-HPC benchmark
AIPerf: Automated machine learning as an AI-HPC benchmark
Zhixiang Ren
Yongheng Liu
Tianhui Shi
Lei Xie
Yue Zhou
Jidong Zhai
Youhui Zhang
Yunquan Zhang
Wenguang Chen
32
22
0
17 Aug 2020
Attention-based Fully Gated CNN-BGRU for Russian Handwritten Text
Attention-based Fully Gated CNN-BGRU for Russian Handwritten Text
Abdelrahman Abdallah
Mohamed Hamada
D. Nurseitov
29
42
0
12 Aug 2020
OCoR: An Overlapping-Aware Code Retriever
OCoR: An Overlapping-Aware Code Retriever
Qihao Zhu
Zeyu Sun
Xiran Liang
Yingfei Xiong
Lu Zhang
22
35
0
12 Aug 2020
Distance-Weighted Graph Neural Networks on FPGAs for Real-Time Particle
  Reconstruction in High Energy Physics
Distance-Weighted Graph Neural Networks on FPGAs for Real-Time Particle Reconstruction in High Energy Physics
Y. Iiyama
G. Cerminara
Abhijay Gupta
J. Kieseler
Vladimir Loncar
...
Miaoyuan Liu
K. Pedro
N. Tran
E. Kreinar
Zhenbin Wu
21
66
0
08 Aug 2020
Improving the Accuracy of Global Forecasting Models using Time Series
  Data Augmentation
Improving the Accuracy of Global Forecasting Models using Time Series Data Augmentation
Kasun Bandara
Hansika Hewamalage
Yuan-Hao Liu
Yanfei Kang
Christoph Bergmeir
AI4TS
53
115
0
06 Aug 2020
Learning from Sparse Demonstrations
Learning from Sparse Demonstrations
Wanxin Jin
Todd Murphey
Dana Kulić
Neta Ezer
Shaoshuai Mou
24
35
0
05 Aug 2020
DeepVA: Bridging Cognition and Computation through Semantic Interaction
  and Deep Learning
DeepVA: Bridging Cognition and Computation through Semantic Interaction and Deep Learning
Yail Bian
John E. Wenskovitch
Chris North
23
11
0
31 Jul 2020
On Hyperparameter Optimization of Machine Learning Algorithms: Theory
  and Practice
On Hyperparameter Optimization of Machine Learning Algorithms: Theory and Practice
Li Yang
Abdallah Shami
AI4CE
39
2,041
0
30 Jul 2020
Accelerating Deep Learning Applications in Space
Accelerating Deep Learning Applications in Space
Martina Lofqvist
José Cano
42
19
0
21 Jul 2020
Predicting risk of late age-related macular degeneration using deep
  learning
Predicting risk of late age-related macular degeneration using deep learning
Yifan Peng
T. Keenan
Qingyu Chen
Elvira Agrón
Alexis Allot
W. Wong
E. Chew
Zhiyong Lu
25
54
0
19 Jul 2020
Development and Validation of a Novel Prognostic Model for Predicting
  AMD Progression Using Longitudinal Fundus Images
Development and Validation of a Novel Prognostic Model for Predicting AMD Progression Using Longitudinal Fundus Images
J. Bridge
S. Harding
Yalin Zheng
MedIm
12
14
0
10 Jul 2020
HKR For Handwritten Kazakh & Russian Database
HKR For Handwritten Kazakh & Russian Database
D. Nurseitov
K. Bostanbekov
D. Kurmankhojayev
Anel N. Alimova
Abdelrahman Abdallah
22
34
0
07 Jul 2020
MvMM-RegNet: A new image registration framework based on multivariate
  mixture model and neural network estimation
MvMM-RegNet: A new image registration framework based on multivariate mixture model and neural network estimation
Xinzhe Luo
Xiahai Zhuang
23
17
0
28 Jun 2020
Geometric Prediction: Moving Beyond Scalars
Geometric Prediction: Moving Beyond Scalars
Raphael J. L. Townshend
Brent Townshend
Stephan Eismann
R. Dror
19
7
0
25 Jun 2020
Drive-Net: Convolutional Network for Driver Distraction Detection
Drive-Net: Convolutional Network for Driver Distraction Detection
Mohammed S. Majdi
Sundaresh Ram
Jonathan T. Gill
Jeffrey J. Rodríguez
19
49
0
22 Jun 2020
Learning Physical Graph Representations from Visual Scenes
Learning Physical Graph Representations from Visual Scenes
Daniel M. Bear
Chaofei Fan
Damian Mrowca
Yunzhu Li
S. Alter
...
Jeremy Schwartz
Li Fei-Fei
Jiajun Wu
J. Tenenbaum
Daniel L. K. Yamins
SSL
GNN
SSeg
AI4CE
45
79
0
22 Jun 2020
Bayesian Neural Networks: An Introduction and Survey
Bayesian Neural Networks: An Introduction and Survey
Ethan Goan
Clinton Fookes
BDL
UQCV
42
201
0
22 Jun 2020
Match$^2$: A Matching over Matching Model for Similar Question
  Identification
Match2^22: A Matching over Matching Model for Similar Question Identification
Zizhen Wang
Yixing Fan
Jiafeng Guo
Liu Yang
Ruqing Zhang
Yanyan Lan
Xueqi Cheng
Hui Jiang
Xiaozhao Wang
21
15
0
21 Jun 2020
Deep Multitask Learning for Pervasive BMI Estimation and Identity
  Recognition in Smart Beds
Deep Multitask Learning for Pervasive BMI Estimation and Identity Recognition in Smart Beds
Vandad Davoodnia
Monet Slinowsky
Ali Etemad
17
19
0
18 Jun 2020
Calibrating Deep Neural Network Classifiers on Out-of-Distribution
  Datasets
Calibrating Deep Neural Network Classifiers on Out-of-Distribution Datasets
Zhihui Shao
Jianyi Yang
Shaolei Ren
OODD
37
11
0
16 Jun 2020
Robust Federated Learning: The Case of Affine Distribution Shifts
Robust Federated Learning: The Case of Affine Distribution Shifts
Amirhossein Reisizadeh
Farzan Farnia
Ramtin Pedarsani
Ali Jadbabaie
FedML
OOD
43
164
0
16 Jun 2020
A Survey of Machine Learning Methods and Challenges for Windows Malware
  Classification
A Survey of Machine Learning Methods and Challenges for Windows Malware Classification
Edward Raff
Charles K. Nicholas
AAML
31
54
0
15 Jun 2020
Gradient Estimation with Stochastic Softmax Tricks
Gradient Estimation with Stochastic Softmax Tricks
Max B. Paulus
Dami Choi
Daniel Tarlow
Andreas Krause
Chris J. Maddison
BDL
41
85
0
15 Jun 2020
HMIC: Hierarchical Medical Image Classification, A Deep Learning
  Approach
HMIC: Hierarchical Medical Image Classification, A Deep Learning Approach
Kamran Kowsari
R. Sali
L. Ehsan
W. Adorno
Asad Ali
S. Moore
B. Amadi
P. Kelly
Sana Syed
Donald Brown
23
56
0
12 Jun 2020
Gaussian Gated Linear Networks
Gaussian Gated Linear Networks
David Budden
Adam H. Marblestone
Eren Sezener
Tor Lattimore
Greg Wayne
J. Veness
BDL
AI4CE
32
12
0
10 Jun 2020
Simple and efficient algorithms for training machine learning potentials
  to force data
Simple and efficient algorithms for training machine learning potentials to force data
Justin S. Smith
Nicholas Lubbers
A. Thompson
K. Barros
28
10
0
09 Jun 2020
The Lipschitz Constant of Self-Attention
The Lipschitz Constant of Self-Attention
Hyunjik Kim
George Papamakarios
A. Mnih
16
136
0
08 Jun 2020
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