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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 / 4,264 papers shown
Title
SplitSR: An End-to-End Approach to Super-Resolution on Mobile Devices
SplitSR: An End-to-End Approach to Super-Resolution on Mobile Devices
Xin Liu
Yuang Li
Josh Fromm
Yuntao wang
Ziheng Jiang
Alex Mariakakis
Shwetak N. Patel
SupR
91
11
0
20 Jan 2021
Learnable Embedding Sizes for Recommender Systems
Learnable Embedding Sizes for Recommender Systems
Siyi Liu
Chen Gao
Yihong Chen
Depeng Jin
Yong Li
140
86
0
19 Jan 2021
Deep View Synthesis via Self-Consistent Generative Network
Deep View Synthesis via Self-Consistent Generative Network
Zhuoman Liu
Wei Jia
Ming-Hsuan Yang
Peiyao Luo
Yong Guo
Mingkui Tan
3DVGAN
57
13
0
19 Jan 2021
Accelerating Deep Learning Inference via Learned Caches
Accelerating Deep Learning Inference via Learned Caches
Arjun Balasubramanian
Adarsh Kumar
Yuhan Liu
Han Cao
Shivaram Venkataraman
Aditya Akella
64
19
0
18 Jan 2021
E Pluribus Unum Ex Machina: Learning from Many Collider Events at Once
E Pluribus Unum Ex Machina: Learning from Many Collider Events at Once
Benjamin Nachman
Jesse Thaler
91
34
0
18 Jan 2021
DeepPayload: Black-box Backdoor Attack on Deep Learning Models through
  Neural Payload Injection
DeepPayload: Black-box Backdoor Attack on Deep Learning Models through Neural Payload Injection
Yan Liang
Jiayi Hua
Haoyu Wang
Chunyang Chen
Yunxin Liu
FedMLSILM
130
80
0
18 Jan 2021
Match-Ignition: Plugging PageRank into Transformer for Long-form Text
  Matching
Match-Ignition: Plugging PageRank into Transformer for Long-form Text Matching
Liang Pang
Yanyan Lan
Xueqi Cheng
66
21
0
16 Jan 2021
Optimal Energy Shaping via Neural Approximators
Optimal Energy Shaping via Neural Approximators
Stefano Massaroli
Michael Poli
Federico Califano
Jinkyoo Park
Atsushi Yamashita
Hajime Asama
46
14
0
14 Jan 2021
$C^3DRec$: Cloud-Client Cooperative Deep Learning for Temporal
  Recommendation in the Post-GDPR Era
C3DRecC^3DRecC3DRec: Cloud-Client Cooperative Deep Learning for Temporal Recommendation in the Post-GDPR Era
Jialiang Han
Yudong Han
43
0
0
13 Jan 2021
Designing Machine Learning Toolboxes: Concepts, Principles and Patterns
Designing Machine Learning Toolboxes: Concepts, Principles and Patterns
Franz J. Király
M. Löning
Anthony D. Blaom
Ahmed Guecioueur
R. Sonabend
58
8
0
13 Jan 2021
An Empirical Study on Deployment Faults of Deep Learning Based Mobile
  Applications
An Empirical Study on Deployment Faults of Deep Learning Based Mobile Applications
Zhenpeng Chen
Huihan Yao
Xin Peng
Yanbin Cao
Yuanqiang Liu
Haoyu Wang
Xuanzhe Liu
116
80
0
13 Jan 2021
A reusable pipeline for large-scale fiber segmentation on unidirectional
  fiber beds using fully convolutional neural networks
A reusable pipeline for large-scale fiber segmentation on unidirectional fiber beds using fully convolutional neural networks
A. F. Siqueira
D. Sabino
S. Walt
19
1
0
13 Jan 2021
MLGO: a Machine Learning Guided Compiler Optimizations Framework
MLGO: a Machine Learning Guided Compiler Optimizations Framework
Mircea Trofin
Yundi Qian
E. Brevdo
Zinan Lin
K. Choromanski
Didong Li
89
67
0
13 Jan 2021
Design of borehole resistivity measurement acquisition systems using
  deep learning
Design of borehole resistivity measurement acquisition systems using deep learning
M. Shahriari
A. Hazra
David Pardo
25
0
0
12 Jan 2021
A Bayesian neural network predicts the dissolution of compact planetary
  systems
A Bayesian neural network predicts the dissolution of compact planetary systems
M. Cranmer
Daniel Tamayo
H. Rein
Peter W. Battaglia
S. Hadden
P. Armitage
S. Ho
D. Spergel
BDL
112
28
0
11 Jan 2021
Switch Transformers: Scaling to Trillion Parameter Models with Simple
  and Efficient Sparsity
Switch Transformers: Scaling to Trillion Parameter Models with Simple and Efficient Sparsity
W. Fedus
Barret Zoph
Noam M. Shazeer
MoE
172
2,249
0
11 Jan 2021
Machine Learning for Electronic Design Automation: A Survey
Machine Learning for Electronic Design Automation: A Survey
Guyue Huang
Jingbo Hu
Yifan He
Jialong Liu
Mingyuan Ma
...
Yuzhe Ma
Haoyu Yang
Bei Yu
Huazhong Yang
Yu Wang
76
241
0
10 Jan 2021
CapsField: Light Field-based Face and Expression Recognition in the Wild
  using Capsule Routing
CapsField: Light Field-based Face and Expression Recognition in the Wild using Capsule Routing
Alireza Sepas-Moghaddam
Ali Etemad
F. Pereira
P. Correia
CVBM
107
36
0
10 Jan 2021
Activity Recognition with Moving Cameras and Few Training Examples:
  Applications for Detection of Autism-Related Headbanging
Activity Recognition with Moving Cameras and Few Training Examples: Applications for Detection of Autism-Related Headbanging
Peter Washington
A. Kline
O. Mutlu
É. Leblanc
C. Hou
N. Stockham
K. Paskov
B. Chrisman
Dennis Paul Wall
52
51
0
10 Jan 2021
Training Affective Computer Vision Models by Crowdsourcing Soft-Target
  Labels
Training Affective Computer Vision Models by Crowdsourcing Soft-Target Labels
Peter Washington
Cezmi Mutlu
É. Leblanc
A. Kline
C. Hou
...
N. Stockham
K. Paskov
Catalin Voss
Nick Haber
Dennis Paul Wall
107
22
0
10 Jan 2021
Multimodal Gait Recognition for Neurodegenerative Diseases
Multimodal Gait Recognition for Neurodegenerative Diseases
Aite Zhao
Jianbo Li
Junyu Dong
Lin Qi
Qianni Zhang
Ning Li
Xin Wang
Huiyu Zhou
CVBM
47
60
0
07 Jan 2021
Demand Forecasting for Platelet Usage: from Univariate Time Series to
  Multivariate Models
Demand Forecasting for Platelet Usage: from Univariate Time Series to Multivariate Models
M. Motamedi
Jessica Dawson
Na Li
D. Down
N. Heddle
AI4TS
55
21
0
06 Jan 2021
TryOnGAN: Body-Aware Try-On via Layered Interpolation
TryOnGAN: Body-Aware Try-On via Layered Interpolation
Kathleen M. Lewis
Srivatsan Varadharajan
Ira Kemelmacher-Shlizerman
3DH
163
49
0
06 Jan 2021
LightLayers: Parameter Efficient Dense and Convolutional Layers for
  Image Classification
LightLayers: Parameter Efficient Dense and Convolutional Layers for Image Classification
Debesh Jha
Anis Yazidi
Michael A. Riegler
Dag Johansen
Haavard D. Johansen
Pål Halvorsen
53
9
0
06 Jan 2021
AutoDropout: Learning Dropout Patterns to Regularize Deep Networks
AutoDropout: Learning Dropout Patterns to Regularize Deep Networks
Hieu H. Pham
Quoc V. Le
128
57
0
05 Jan 2021
Recurrent Neural Networks for Stochastic Control Problems with Delay
Recurrent Neural Networks for Stochastic Control Problems with Delay
Jiequn Han
Ruimeng Hu
81
19
0
05 Jan 2021
Advances in Electron Microscopy with Deep Learning
Advances in Electron Microscopy with Deep Learning
Jeffrey M. Ede
117
3
0
04 Jan 2021
CASS: Towards Building a Social-Support Chatbot for Online Health
  Community
CASS: Towards Building a Social-Support Chatbot for Online Health Community
Liuping Wang
Dakuo Wang
Feng Tian
Zhenhui Peng
Xiangmin Fan
Zhan Zhang
Shuai Ma
Mo Yu
Xiaojuan Ma
Hongan Wang
AI4MH
77
44
0
04 Jan 2021
WearMask: Fast In-browser Face Mask Detection with Serverless Edge
  Computing for COVID-19
WearMask: Fast In-browser Face Mask Detection with Serverless Edge Computing for COVID-19
Zekun Wang
P. Wang
Peter C. Louis
L. Wheless
Yuankai Huo
CVBM
62
35
0
04 Jan 2021
DSXplore: Optimizing Convolutional Neural Networks via Sliding-Channel
  Convolutions
DSXplore: Optimizing Convolutional Neural Networks via Sliding-Channel Convolutions
Yuke Wang
Boyuan Feng
Yufei Ding
61
9
0
04 Jan 2021
Depth as Attention for Face Representation Learning
Depth as Attention for Face Representation Learning
Hardik Uppal
Alireza Sepas-Moghaddam
Michael A. Greenspan
Ali Etemad
CVBM
91
21
0
03 Jan 2021
AttnMove: History Enhanced Trajectory Recovery via Attentional Network
AttnMove: History Enhanced Trajectory Recovery via Attentional Network
Tong Xia
Yunhan Qi
Jie Feng
Fengli Xu
Funing Sun
Diansheng Guo
Yong Li
150
58
0
03 Jan 2021
Neural Machine Translation: A Review of Methods, Resources, and Tools
Neural Machine Translation: A Review of Methods, Resources, and Tools
Zhixing Tan
Shuo Wang
Zonghan Yang
Gang Chen
Xuancheng Huang
Maosong Sun
Yang Liu
3DVAI4TS
99
110
0
31 Dec 2020
Fast covariance parameter estimation of spatial Gaussian process models
  using neural networks
Fast covariance parameter estimation of spatial Gaussian process models using neural networks
Florian Gerber
D. Nychka
309
38
0
30 Dec 2020
Explainability Matters: Backdoor Attacks on Medical Imaging
Explainability Matters: Backdoor Attacks on Medical Imaging
Munachiso Nwadike
Takumi Miyawaki
Esha Sarkar
Michail Maniatakos
Farah E. Shamout
AAML
70
14
0
30 Dec 2020
Improving Adversarial Robustness in Weight-quantized Neural Networks
Improving Adversarial Robustness in Weight-quantized Neural Networks
Chang Song
Elias Fallon
Hai Helen Li
AAML
61
19
0
29 Dec 2020
OpenHPS: An Open Source Hybrid Positioning System
OpenHPS: An Open Source Hybrid Positioning System
Maxim Van de Wynckel
B. Signer
13
4
0
29 Dec 2020
Learning a Dynamic Map of Visual Appearance
Learning a Dynamic Map of Visual Appearance
Tawfiq Salem
Scott Workman
Nathan Jacobs
3DH
78
27
0
29 Dec 2020
A Differentially Private Multi-Output Deep Generative Networks Approach
  For Activity Diary Synthesis
A Differentially Private Multi-Output Deep Generative Networks Approach For Activity Diary Synthesis
Godwin Badu-Marfo
Bilal Farooq
Zachary Patterson
46
4
0
29 Dec 2020
dalex: Responsible Machine Learning with Interactive Explainability and
  Fairness in Python
dalex: Responsible Machine Learning with Interactive Explainability and Fairness in Python
Hubert Baniecki
Wojciech Kretowicz
Piotr Piątyszek
J. Wiśniewski
P. Biecek
FaML
98
97
0
28 Dec 2020
Playing to distraction: towards a robust training of CNN classifiers
  through visual explanation techniques
Playing to distraction: towards a robust training of CNN classifiers through visual explanation techniques
David Morales
Estefanía Talavera
B. Remeseiro
74
6
0
28 Dec 2020
Analysis of Macula on Color Fundus Images Using Heightmap Reconstruction
  Through Deep Learning
Analysis of Macula on Color Fundus Images Using Heightmap Reconstruction Through Deep Learning
Peyman Tahghighi
R. Zoroofi
S. Safi
Alireza Ramezani
MedImGAN
25
0
0
28 Dec 2020
From Point to Space: 3D Moving Human Pose Estimation Using Commodity
  WiFi
From Point to Space: 3D Moving Human Pose Estimation Using Commodity WiFi
Yiming Wang
Lingchao Guo
Zhaoming Lu
X. Wen
Shuang Zhou
Wanyu Meng
3DH
47
40
0
28 Dec 2020
SparsePipe: Parallel Deep Learning for 3D Point Clouds
SparsePipe: Parallel Deep Learning for 3D Point Clouds
Keke Zhai
Pan He
Tania Banerjee-Mishra
Anand Rangarajan
Sanjay Ranka
3DPC
16
1
0
27 Dec 2020
Early Indicators of Scientific Impact: Predicting Citations with
  Altmetrics
Early Indicators of Scientific Impact: Predicting Citations with Altmetrics
A. Akella
Hamed Alhoori
Pavan Ravikanth Kondamudi
Cole Freeman
Haiming Zhou
34
64
0
25 Dec 2020
Spatio-temporal Multi-task Learning for Cardiac MRI Left Ventricle
  Quantification
Spatio-temporal Multi-task Learning for Cardiac MRI Left Ventricle Quantification
Sulaiman Vesal
Mingxuan Gu
Andreas Maier
Nishant Ravikumar
56
18
0
24 Dec 2020
Joint super-resolution and synthesis of 1 mm isotropic MP-RAGE volumes
  from clinical MRI exams with scans of different orientation, resolution and
  contrast
Joint super-resolution and synthesis of 1 mm isotropic MP-RAGE volumes from clinical MRI exams with scans of different orientation, resolution and contrast
Juan Eugenio Iglesias
Benjamin Billot
Yael Balbastre
A. Tabari
J. Conklin
Daniel C. Alexander
Polina Golland
B. Edlow
Bruce Fischl
140
108
0
24 Dec 2020
LCEval: Learned Composite Metric for Caption Evaluation
LCEval: Learned Composite Metric for Caption Evaluation
Naeha Sharif
Lyndon White
Bennamoun
Wei Liu
Syed Afaq Ali Shah
51
8
0
24 Dec 2020
A Modern Analysis of Hutchinson's Trace Estimator
A Modern Analysis of Hutchinson's Trace Estimator
Maciej Skorski
62
14
0
23 Dec 2020
EQ-Net: A Unified Deep Learning Framework for Log-Likelihood Ratio
  Estimation and Quantization
EQ-Net: A Unified Deep Learning Framework for Log-Likelihood Ratio Estimation and Quantization
Marius Arvinte
Ahmed H. Tewfik
S. Vishwanath
MQ
22
0
0
23 Dec 2020
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