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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 / 4,260 papers shown
Title
Multi-source Heterogeneous Domain Adaptation with Conditional Weighting
  Adversarial Network
Multi-source Heterogeneous Domain Adaptation with Conditional Weighting Adversarial Network
Yuan Yao
Xutao Li
Yu Zhang
Yunming Ye
81
31
0
06 Aug 2020
Federated Transfer Learning with Dynamic Gradient Aggregation
Federated Transfer Learning with Dynamic Gradient Aggregation
Dimitrios Dimitriadis
K. Kumatani
R. Gmyr
Yashesh Gaur
Sefik Emre Eskimez
FedML
96
15
0
06 Aug 2020
DANA: Dimension-Adaptive Neural Architecture for Multivariate Sensor
  Data
DANA: Dimension-Adaptive Neural Architecture for Multivariate Sensor Data
Mohammad Malekzadeh
R. Clegg
Andrea Cavallaro
Hamed Haddadi
AI4TS
55
3
0
05 Aug 2020
Best of Both Worlds: High Performance Interactive and Batch Launching
Best of Both Worlds: High Performance Interactive and Batch Launching
Chansup Byun
J. Kepner
William Arcand
David Bestor
Bill Bergeron
...
Andrew Prout
Antonio Rosa
S. Samsi
Charles Yee
Albert Reuther
VLM
23
5
0
05 Aug 2020
Learning from Sparse Demonstrations
Learning from Sparse Demonstrations
Wanxin Jin
Todd Murphey
Dana Kulić
Neta Ezer
Shaoshuai Mou
90
36
0
05 Aug 2020
Unsupervised seismic facies classification using deep convolutional
  autoencoder
Unsupervised seismic facies classification using deep convolutional autoencoder
V. Puzyrev
C. Elders
CVBM
28
23
0
05 Aug 2020
MusPy: A Toolkit for Symbolic Music Generation
MusPy: A Toolkit for Symbolic Music Generation
Hao-Wen Dong
Kai Chen
Julian McAuley
Taylor Berg-Kirkpatrick
MGen
95
62
0
05 Aug 2020
From Human Mesenchymal Stromal Cells to Osteosarcoma Cells
  Classification by Deep Learning
From Human Mesenchymal Stromal Cells to Osteosarcoma Cells Classification by Deep Learning
M. D’Acunto
M. Martinelli
Davide Moroni
18
18
0
04 Aug 2020
A Learned Performance Model for Tensor Processing Units
A Learned Performance Model for Tensor Processing Units
Samuel J. Kaufman
P. Phothilimthana
Yanqi Zhou
Charith Mendis
Sudip Roy
Amit Sabne
Mike Burrows
76
8
0
03 Aug 2020
Teacher-Student Training and Triplet Loss for Facial Expression
  Recognition under Occlusion
Teacher-Student Training and Triplet Loss for Facial Expression Recognition under Occlusion
Mariana-Iuliana Georgescu
Radu Tudor Ionescu
CVBM
67
25
0
03 Aug 2020
Adaptive Physics-Informed Neural Networks for Markov-Chain Monte Carlo
Adaptive Physics-Informed Neural Networks for Markov-Chain Monte Carlo
M. A. Nabian
Hadi Meidani
45
6
0
03 Aug 2020
Discovering indicators of dark horse of soccer games by deep learning
  from sequential trading data
Discovering indicators of dark horse of soccer games by deep learning from sequential trading data
Liyao Lu
Qiang Lyu
10
0
0
03 Aug 2020
Rule-based Bayesian regression
Rule-based Bayesian regression
T. Botsas
L. Mason
Indranil Pan
112
4
0
02 Aug 2020
Autonomous Navigation in Complex Environments with Deep Multimodal
  Fusion Network
Autonomous Navigation in Complex Environments with Deep Multimodal Fusion Network
A. Nguyen
Ngoc Son Nguyen
K. Tran
Erman Tjiputra
Quang-Dieu Tran
65
39
0
31 Jul 2020
Queueing Network Controls via Deep Reinforcement Learning
Queueing Network Controls via Deep Reinforcement Learning
J. Dai
Mark O. Gluzman
OffRL
125
51
0
31 Jul 2020
From calibration to parameter learning: Harnessing the scaling effects
  of big data in geoscientific modeling
From calibration to parameter learning: Harnessing the scaling effects of big data in geoscientific modeling
W. Tsai
D. Feng
M. Pan
H. Beck
K. Lawson
Yuan Yang
Jiangtao Liu
Chaopeng Shen
AI4CE
133
189
0
30 Jul 2020
Data-efficient Hindsight Off-policy Option Learning
Data-efficient Hindsight Off-policy Option Learning
Markus Wulfmeier
Dushyant Rao
Roland Hafner
Thomas Lampe
A. Abdolmaleki
...
Michael Neunert
Dhruva Tirumala
Noah Y. Siegel
N. Heess
Martin Riedmiller
OffRL
91
47
0
30 Jul 2020
A Data Augmentation-based Defense Method Against Adversarial Attacks in
  Neural Networks
A Data Augmentation-based Defense Method Against Adversarial Attacks in Neural Networks
Yi Zeng
Han Qiu
G. Memmi
Meikang Qiu
AAML
66
51
0
30 Jul 2020
Exploiting stance hierarchies for cost-sensitive stance detection of Web
  documents
Exploiting stance hierarchies for cost-sensitive stance detection of Web documents
Arjun Roy
P. Fafalios
Asif Ekbal
Xiaofei Zhu
Stefan Dietze
10
10
0
29 Jul 2020
Multimodal Spatial Attention Module for Targeting Multimodal PET-CT Lung
  Tumor Segmentation
Multimodal Spatial Attention Module for Targeting Multimodal PET-CT Lung Tumor Segmentation
Xiaohang Fu
Lei Bi
Ashnil Kumar
M. Fulham
Jinman Kim
54
109
0
29 Jul 2020
Learning Object-conditioned Exploration using Distributed Soft Actor
  Critic
Learning Object-conditioned Exploration using Distributed Soft Actor Critic
Ayzaan Wahid
Austin Stone
Kevin Chen
Brian Ichter
Alexander Toshev
82
22
0
29 Jul 2020
Group Knowledge Transfer: Federated Learning of Large CNNs at the Edge
Group Knowledge Transfer: Federated Learning of Large CNNs at the Edge
Chaoyang He
M. Annavaram
A. Avestimehr
FedML
107
23
0
28 Jul 2020
Machine learning for metal additive manufacturing: Predicting
  temperature and melt pool fluid dynamics using physics-informed neural
  networks
Machine learning for metal additive manufacturing: Predicting temperature and melt pool fluid dynamics using physics-informed neural networks
Qiming Zhu
Zeliang Liu
Jinhui Yan
PINNAI4CE
83
306
0
28 Jul 2020
Flower: A Friendly Federated Learning Research Framework
Flower: A Friendly Federated Learning Research Framework
Daniel J. Beutel
Taner Topal
Akhil Mathur
Xinchi Qiu
Javier Fernandez-Marques
...
Lorenzo Sani
Kwing Hei Li
Titouan Parcollet
Pedro Porto Buarque de Gusmão
Nicholas D. Lane
FedML
158
827
0
28 Jul 2020
Deep-Learning based Inverse Modeling Approaches: A Subsurface Flow
  Example
Deep-Learning based Inverse Modeling Approaches: A Subsurface Flow Example
Nanzhe Wang
Haibin Chang
Dongxiao Zhang
AI4CE
77
61
0
28 Jul 2020
Weakly Supervised 3D Object Detection from Point Clouds
Weakly Supervised 3D Object Detection from Point Clouds
Zengyi Qin
Jinglu Wang
Yan Lu
3DPC
140
62
0
28 Jul 2020
FedML: A Research Library and Benchmark for Federated Machine Learning
FedML: A Research Library and Benchmark for Federated Machine Learning
Chaoyang He
Songze Li
Jinhyun So
Xiao Zeng
Mi Zhang
...
Yang Liu
Ramesh Raskar
Qiang Yang
M. Annavaram
Salman Avestimehr
FedML
271
579
0
27 Jul 2020
Water Quality Prediction on a Sigfox-compliant IoT Device: The Road
  Ahead of WaterS
Water Quality Prediction on a Sigfox-compliant IoT Device: The Road Ahead of WaterS
Pietro Boccadoro
Daniele Vitanio
Pietro Di Gennaro
Domenico Lofú
Pietro Tedeschi
115
23
0
27 Jul 2020
YOLOpeds: Efficient Real-Time Single-Shot Pedestrian Detection for Smart
  Camera Applications
YOLOpeds: Efficient Real-Time Single-Shot Pedestrian Detection for Smart Camera Applications
C. Kyrkou
3DH
16
16
0
27 Jul 2020
Ladybird: Quasi-Monte Carlo Sampling for Deep Implicit Field Based 3D
  Reconstruction with Symmetry
Ladybird: Quasi-Monte Carlo Sampling for Deep Implicit Field Based 3D Reconstruction with Symmetry
Yifan Xu
Tianqi Fan
Yi Yuan
Gurprit Singh
3DPC3DV
100
36
0
27 Jul 2020
Evaluation of Federated Learning in Phishing Email Detection
Evaluation of Federated Learning in Phishing Email Detection
Chandra Thapa
Jun Tang
A. Abuadbba
Yansong Gao
S. Çamtepe
Surya Nepal
Mahathir Almashor
Yifeng Zheng
FedML
69
16
0
27 Jul 2020
Deep Learning Methods for Solving Linear Inverse Problems: Research
  Directions and Paradigms
Deep Learning Methods for Solving Linear Inverse Problems: Research Directions and Paradigms
Yanna Bai
Wei Chen
Jie Chen
Weisi Guo
123
70
0
27 Jul 2020
Fast-Convergent Federated Learning
Fast-Convergent Federated Learning
Hung T. Nguyen
Vikash Sehwag
Seyyedali Hosseinalipour
Christopher G. Brinton
M. Chiang
H. Vincent Poor
FedML
103
196
0
26 Jul 2020
Improving Generalization in Meta-learning via Task Augmentation
Improving Generalization in Meta-learning via Task Augmentation
Huaxiu Yao
Long-Kai Huang
Linjun Zhang
Ying Wei
Li Tian
James Zou
Junzhou Huang
Z. Li
130
84
0
26 Jul 2020
Neural networks with late-phase weights
Neural networks with late-phase weights
J. Oswald
Seijin Kobayashi
Alexander Meulemans
Christian Henning
Benjamin Grewe
João Sacramento
94
35
0
25 Jul 2020
Weak Human Preference Supervision For Deep Reinforcement Learning
Weak Human Preference Supervision For Deep Reinforcement Learning
Zehong Cao
Kaichiu Wong
Chin-Teng Lin
60
5
0
25 Jul 2020
Self-Supervised Monocular 3D Face Reconstruction by Occlusion-Aware
  Multi-view Geometry Consistency
Self-Supervised Monocular 3D Face Reconstruction by Occlusion-Aware Multi-view Geometry Consistency
Jiaxiang Shang
Tianwei Shen
Shiwei Li
Lei Zhou
Mingmin Zhen
Tian Fang
Long Quan
3DV3DHCVBM
89
139
0
24 Jul 2020
A Study on Evaluation Standard for Automatic Crack Detection Regard the
  Random Fractal
A Study on Evaluation Standard for Automatic Crack Detection Regard the Random Fractal
Hongyu Li
Ji-hong Wang
Yu Zhang
Zirui Wang
Tiejun Wang
37
3
0
23 Jul 2020
Improving Deep Learning with Differential Privacy using Gradient
  Encoding and Denoising
Improving Deep Learning with Differential Privacy using Gradient Encoding and Denoising
Milad Nasr
Reza Shokri
Amir Houmansadr
72
41
0
22 Jul 2020
DEAL: Deep Evidential Active Learning for Image Classification
DEAL: Deep Evidential Active Learning for Image Classification
Patrick Hemmer
Niklas Kühl
Jakob Schöffer
86
38
0
22 Jul 2020
Learnable Descent Algorithm for Nonsmooth Nonconvex Image Reconstruction
Learnable Descent Algorithm for Nonsmooth Nonconvex Image Reconstruction
Yunmei Chen
Hongcheng Liu
X. Ye
Qingchao Zhang
165
23
0
22 Jul 2020
Computational Causal Inference
Computational Causal Inference
Jeffrey Wong
CMLAI4CE
46
11
0
21 Jul 2020
Backdoor Attacks and Countermeasures on Deep Learning: A Comprehensive
  Review
Backdoor Attacks and Countermeasures on Deep Learning: A Comprehensive Review
Yansong Gao
Bao Gia Doan
Zhi-Li Zhang
Siqi Ma
Jiliang Zhang
Anmin Fu
Surya Nepal
Hyoungshick Kim
AAML
129
235
0
21 Jul 2020
DeepCorn: A Semi-Supervised Deep Learning Method for High-Throughput
  Image-Based Corn Kernel Counting and Yield Estimation
DeepCorn: A Semi-Supervised Deep Learning Method for High-Throughput Image-Based Corn Kernel Counting and Yield Estimation
S. Khaki
Hieu H. Pham
Ye Han
Andy Kuhl
W. Kent
Lizhi Wang
81
61
0
20 Jul 2020
Randomized Automatic Differentiation
Randomized Automatic Differentiation
Deniz Oktay
N. McGreivy
Joshua Aduol
Alex Beatson
Ryan P. Adams
ODL
65
27
0
20 Jul 2020
MCUNet: Tiny Deep Learning on IoT Devices
MCUNet: Tiny Deep Learning on IoT Devices
Ji Lin
Wei-Ming Chen
Chengyue Wu
J. Cohn
Chuang Gan
Song Han
170
497
0
20 Jul 2020
Wide Boosting
Wide Boosting
M. Horrell
AI4CE
45
1
0
20 Jul 2020
RT3D: Achieving Real-Time Execution of 3D Convolutional Neural Networks
  on Mobile Devices
RT3D: Achieving Real-Time Execution of 3D Convolutional Neural Networks on Mobile Devices
Wei Niu
Mengshu Sun
Zechao Li
Jou-An Chen
Jiexiong Guan
Xipeng Shen
Yanzhi Wang
Sijia Liu
Xue Lin
Bin Ren
MQ
64
12
0
20 Jul 2020
High Performance Data Engineering Everywhere
High Performance Data Engineering Everywhere
Chathura Widanage
Niranda Perera
V. Abeykoon
Supun Kamburugamuve
Thejaka Amila Kanewala
Hasara Maithree
P. Wickramasinghe
A. Uyar
Gurhan Gunduz
Geoffrey C. Fox
40
18
0
19 Jul 2020
Probabilistic Neighbourhood Component Analysis: Sample Efficient
  Uncertainty Estimation in Deep Learning
Probabilistic Neighbourhood Component Analysis: Sample Efficient Uncertainty Estimation in Deep Learning
Ankur Mallick
Chaitanya Dwivedi
B. Kailkhura
Gauri Joshi
T. Y. Han
UQCVBDL
68
6
0
18 Jul 2020
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