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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
There is Limited Correlation between Coverage and Robustness for Deep
  Neural Networks
There is Limited Correlation between Coverage and Robustness for Deep Neural Networks
Yizhen Dong
Peixin Zhang
Jingyi Wang
Shuang Liu
Jun Sun
Jianye Hao
Xinyu Wang
Li Wang
J. Dong
Ting Dai
OODAAML
76
32
0
14 Nov 2019
Extracting 2D weak labels from volume labels using multiple instance
  learning in CT hemorrhage detection
Extracting 2D weak labels from volume labels using multiple instance learning in CT hemorrhage detection
Samuel W. Remedios
Zihao Wu
Camilo Bermudez
Cailey I. Kerley
Snehashis Roy
Mayur B. Patel
J. Butman
Bennett A. Landman
Dzung L. Pham
52
8
0
13 Nov 2019
Image-Based Feature Representation for Insider Threat Classification
Image-Based Feature Representation for Insider Threat Classification
R. Gayathri
Atul Sajjanhar
Yong Xiang
41
40
0
13 Nov 2019
Throughput Prediction of Asynchronous SGD in TensorFlow
Throughput Prediction of Asynchronous SGD in TensorFlow
Zhuojin Li
Wumo Yan
Marco Paolieri
L. Golubchik
36
5
0
12 Nov 2019
Adaptive Probabilistic Vehicle Trajectory Prediction Through Physically
  Feasible Bayesian Recurrent Neural Network
Adaptive Probabilistic Vehicle Trajectory Prediction Through Physically Feasible Bayesian Recurrent Neural Network
Chen Tang
Jianyu Chen
Masayoshi Tomizuka
45
15
0
11 Nov 2019
A Simple Differentiable Programming Language
A Simple Differentiable Programming Language
M. Abadi
G. Plotkin
68
66
0
11 Nov 2019
Structural Pruning in Deep Neural Networks: A Small-World Approach
Structural Pruning in Deep Neural Networks: A Small-World Approach
Gokul Krishnan
Xiaocong Du
Yu Cao
29
8
0
11 Nov 2019
Synthesis of Feedback Controller for Nonlinear Control Systems with
  Optimal Region of Attraction
Synthesis of Feedback Controller for Nonlinear Control Systems with Optimal Region of Attraction
Ayan Chakraborty
Indranil Saha
30
0
0
10 Nov 2019
Natural and Realistic Single Image Super-Resolution with Explicit
  Natural Manifold Discrimination
Natural and Realistic Single Image Super-Resolution with Explicit Natural Manifold Discrimination
Jae Woong Soh
G. Park
Junho Jo
N. Cho
SupR
57
107
0
09 Nov 2019
Zero-Shot Paraphrase Generation with Multilingual Language Models
Zero-Shot Paraphrase Generation with Multilingual Language Models
Yinpeng Guo
Yi-Lun Liao
Xin Jiang
Qing Zhang
Yibo Jacky Zhang
Qun Liu
SyDaLRM
55
23
0
09 Nov 2019
Vision-Based Lane-Changing Behavior Detection Using Deep Residual Neural
  Network
Vision-Based Lane-Changing Behavior Detection Using Deep Residual Neural Network
Zhensong Wei
Chao Wang
Peng Hao
Matthew Barth
66
24
0
08 Nov 2019
Transfer Learning in Spatial-Temporal Forecasting of the Solar Magnetic
  Field
Transfer Learning in Spatial-Temporal Forecasting of the Solar Magnetic Field
E. Covas
123
6
0
08 Nov 2019
Knowledge Distillation for Incremental Learning in Semantic Segmentation
Knowledge Distillation for Incremental Learning in Semantic Segmentation
Umberto Michieli
Pietro Zanuttigh
CLLVLM
99
100
0
08 Nov 2019
Boosting LSTM Performance Through Dynamic Precision Selection
Boosting LSTM Performance Through Dynamic Precision Selection
Franyell Silfa
J. Arnau
Antonio González
MQ
28
5
0
07 Nov 2019
A Survey on Edge Computing Systems and Tools
A Survey on Edge Computing Systems and Tools
Fan Liu
Guoming Tang
Youhuizi Li
Zhiping Cai
Xingzhou Zhang
Tongqing Zhou
73
222
0
07 Nov 2019
MLPerf Inference Benchmark
MLPerf Inference Benchmark
Vijayarāghava Reḍḍī
C. Cheng
David Kanter
Pete H Mattson
Guenther Schmuelling
...
Bing Yu
George Y. Yuan
Aaron Zhong
P. Zhang
Yuchen Zhou
114
509
0
06 Nov 2019
A Programmable Approach to Neural Network Compression
A Programmable Approach to Neural Network Compression
Vinu Joseph
Saurav Muralidharan
Animesh Garg
M. Garland
Ganesh Gopalakrishnan
63
10
0
06 Nov 2019
Enhancing the Privacy of Federated Learning with Sketching
Enhancing the Privacy of Federated Learning with Sketching
Zaoxing Liu
Tian Li
Virginia Smith
Vyas Sekar
FedML
67
22
0
05 Nov 2019
CloudifierNet -- Deep Vision Models for Artificial Image Processing
CloudifierNet -- Deep Vision Models for Artificial Image Processing
A. Damian
Laurentiu Piciu
Alexandru Purdila
N. Tapus
VLM
29
0
0
04 Nov 2019
ARSM Gradient Estimator for Supervised Learning to Rank
ARSM Gradient Estimator for Supervised Learning to Rank
Siamak Zamani Dadaneh
Shahin Boluki
Mingyuan Zhou
Xiaoning Qian
53
8
0
01 Nov 2019
Positive-Unlabeled Reward Learning
Positive-Unlabeled Reward Learning
Danfei Xu
Misha Denil
82
38
0
01 Nov 2019
Extending Relational Query Processing with ML Inference
Extending Relational Query Processing with ML Inference
Konstantinos Karanasos
Matteo Interlandi
Doris Xin
Fotis Psallidas
Rathijit Sen
...
Subru Krishnan
Markus Weimer
Yuan Yu
R. Ramakrishnan
Carlo Curino
126
63
0
01 Nov 2019
Modified U-Net (mU-Net) with Incorporation of Object-Dependent High
  Level Features for Improved Liver and Liver-Tumor Segmentation in CT Images
Modified U-Net (mU-Net) with Incorporation of Object-Dependent High Level Features for Improved Liver and Liver-Tumor Segmentation in CT Images
Hyunseok Seo
Charles Huang
M. Bassenne
Ruoxiu Xiao
Lei Xing
80
281
0
31 Oct 2019
A comparative study of estimating articulatory movements from phoneme
  sequences and acoustic features
A comparative study of estimating articulatory movements from phoneme sequences and acoustic features
Abhayjeet Singh
Aravind Illa
P. Ghosh
36
8
0
31 Oct 2019
Towards Scalable, Efficient and Accurate Deep Spiking Neural Networks
  with Backward Residual Connections, Stochastic Softmax and Hybridization
Towards Scalable, Efficient and Accurate Deep Spiking Neural Networks with Backward Residual Connections, Stochastic Softmax and Hybridization
Priyadarshini Panda
Sai Aparna Aketi
Kaushik Roy
73
33
0
30 Oct 2019
Local SGD with Periodic Averaging: Tighter Analysis and Adaptive
  Synchronization
Local SGD with Periodic Averaging: Tighter Analysis and Adaptive Synchronization
Farzin Haddadpour
Mohammad Mahdi Kamani
M. Mahdavi
V. Cadambe
FedML
87
202
0
30 Oct 2019
Machine Learning-Based Analysis of Sperm Videos and Participant Data for
  Male Fertility Prediction
Machine Learning-Based Analysis of Sperm Videos and Participant Data for Male Fertility Prediction
Steven A. Hicks
J. M. Andersen
O. Witczak
Vajira Thambawita
Pål Halvorsen
Hugo Lewi Hammer
Trine B. Haugen
Michael A. Riegler
47
72
0
29 Oct 2019
DeepWiFi: Cognitive WiFi with Deep Learning
DeepWiFi: Cognitive WiFi with Deep Learning
Kemal Davaslioglu
S. Soltani
T. Erpek
Y. Sagduyu
53
45
0
29 Oct 2019
Understand customer reviews with less data and in short time: pretrained
  language representation and active learning
Understand customer reviews with less data and in short time: pretrained language representation and active learning
Yanwei Cui
Xavier Illy
VLM
29
1
0
29 Oct 2019
Modelling heterogeneous distributions with an Uncountable Mixture of
  Asymmetric Laplacians
Modelling heterogeneous distributions with an Uncountable Mixture of Asymmetric Laplacians
Axel Brando
Jose A. Rodríguez-Serrano
Jordi Vitrià
Alberto Rubio
60
23
0
27 Oct 2019
Region Mutual Information Loss for Semantic Segmentation
Region Mutual Information Loss for Semantic Segmentation
Shuai Zhao
Yang Wang
Zheng Yang
Deng Cai
VLM
90
126
0
26 Oct 2019
Implicit Posterior Variational Inference for Deep Gaussian Processes
Implicit Posterior Variational Inference for Deep Gaussian Processes
Haibin Yu
Yizhou Chen
Zhongxiang Dai
K. H. Low
Patrick Jaillet
88
43
0
26 Oct 2019
Recognizing long-form speech using streaming end-to-end models
Recognizing long-form speech using streaming end-to-end models
A. Narayanan
Rohit Prabhavalkar
Chung-Cheng Chiu
David Rybach
Tara N. Sainath
Trevor Strohman
79
130
0
24 Oct 2019
Predicting In-game Actions from Interviews of NBA Players
Predicting In-game Actions from Interviews of NBA Players
Nadav Oved
Amir Feder
Roi Reichart
79
2
0
24 Oct 2019
Deep Learning of Subsurface Flow via Theory-guided Neural Network
Deep Learning of Subsurface Flow via Theory-guided Neural Network
Nanzhe Wang
Dongxiao Zhang
Haibin Chang
Heng Li
AI4CE
109
235
0
24 Oct 2019
A Large-Scale Deep Architecture for Personalized Grocery Basket
  Recommendations
A Large-Scale Deep Architecture for Personalized Grocery Basket Recommendations
Aditya Mantha
Yokila Arora
Shubham Gupta
Praveenkumar Kanumala
Zhiwei Liu
Stephen D. Guo
Kannan Achan
61
8
0
24 Oct 2019
Collision Avoidance in Pedestrian-Rich Environments with Deep
  Reinforcement Learning
Collision Avoidance in Pedestrian-Rich Environments with Deep Reinforcement Learning
Michael Everett
Yu Fan Chen
Jonathan P. How
OffRL
144
176
0
24 Oct 2019
Large Scale Model Predictive Control with Neural Networks and Primal
  Active Sets
Large Scale Model Predictive Control with Neural Networks and Primal Active Sets
Steven W. Chen
Tianyu Wang
Nikolay Atanasov
Vijay Kumar
M. Morari
90
93
0
23 Oct 2019
Machine Learning for Scent: Learning Generalizable Perceptual
  Representations of Small Molecules
Machine Learning for Scent: Learning Generalizable Perceptual Representations of Small Molecules
Benjamín Sánchez-Lengeling
Jennifer N. Wei
Brian K. Lee
R. C. Gerkin
Alán Aspuru-Guzik
Alexander B. Wiltschko
GNN
77
95
0
23 Oct 2019
Speaker Adaptive Training using Model Agnostic Meta-Learning
Speaker Adaptive Training using Model Agnostic Meta-Learning
Ondˇrej Klejch
Joachim Fainberg
P. Bell
Steve Renals
82
30
0
23 Oct 2019
Streaming Networks: Enable A Robust Classification of Noise-Corrupted
  Images
Streaming Networks: Enable A Robust Classification of Noise-Corrupted Images
Junbao Zhou
Fumihiko Takahashi
21
3
0
23 Oct 2019
Federated Evaluation of On-device Personalization
Federated Evaluation of On-device Personalization
Kangkang Wang
Rajiv Mathews
Chloé Kiddon
Hubert Eichner
F. Beaufays
Daniel Ramage
FedML
82
288
0
22 Oct 2019
Easy Mobile Meter Reading for Non-Smart Meters: Comparison of AWS
  Rekognition and Google Cloud Vision Approaches
Easy Mobile Meter Reading for Non-Smart Meters: Comparison of AWS Rekognition and Google Cloud Vision Approaches
M. Spichkova
J. V. Zyl
Siddharth Sachdev
Ashish Bhardwaj
Nirav Desai
21
16
0
22 Oct 2019
Volterra Neural Networks (VNNs)
Volterra Neural Networks (VNNs)
Siddharth Roheda
Hamid Krim
61
10
0
21 Oct 2019
Optimizing electrode positions in 2D Electrical Impedance Tomography
  using deep learning
Optimizing electrode positions in 2D Electrical Impedance Tomography using deep learning
D. Smyl
Dong Liu
185
34
0
21 Oct 2019
Resource Allocation in Mobility-Aware Federated Learning Networks: A
  Deep Reinforcement Learning Approach
Resource Allocation in Mobility-Aware Federated Learning Networks: A Deep Reinforcement Learning Approach
H. T. Nguyen
Nguyen Cong Luong
Jun Zhao
Chau Yuen
Dusit Niyato
67
58
0
21 Oct 2019
Dynamic Upsampling of Smoke through Dictionary-based Learning
Dynamic Upsampling of Smoke through Dictionary-based Learning
Kai-Yi Bai
Wei Li
M. Desbrun
Xiaopei Liu
AI4CE
60
27
0
21 Oct 2019
RLScheduler: An Automated HPC Batch Job Scheduler Using Reinforcement
  Learning
RLScheduler: An Automated HPC Batch Job Scheduler Using Reinforcement Learning
Di Zhang
Dong Dai
Youbiao He
F. S. Bao
Bing Xie
OffRL
48
8
0
20 Oct 2019
Unsupervised High-Resolution Depth Learning From Videos With Dual
  Networks
Unsupervised High-Resolution Depth Learning From Videos With Dual Networks
Junsheng Zhou
Yuwang Wang
K. Qin
Wenjun Zeng
MDE
61
71
0
20 Oct 2019
Sticking to the Facts: Confident Decoding for Faithful Data-to-Text
  Generation
Sticking to the Facts: Confident Decoding for Faithful Data-to-Text Generation
Ran Tian
Shashi Narayan
Thibault Sellam
Ankur P. Parikh
HILM
110
96
0
19 Oct 2019
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