ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1605.08695
  4. Cited By
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
Understanding and mitigating gradient pathologies in physics-informed
  neural networks
Understanding and mitigating gradient pathologies in physics-informed neural networks
Sizhuang He
Yujun Teng
P. Perdikaris
AI4CEPINN
137
297
0
13 Jan 2020
The Two-Pass Softmax Algorithm
The Two-Pass Softmax Algorithm
Marat Dukhan
Artsiom Ablavatski
TPM
31
8
0
13 Jan 2020
Towards High Performance Java-based Deep Learning Frameworks
Towards High Performance Java-based Deep Learning Frameworks
Athanasios Stratikopoulos
J. Fumero
Z. Sevarac
Christos Kotselidis
BDL
14
0
0
13 Jan 2020
Advbox: a toolbox to generate adversarial examples that fool neural
  networks
Advbox: a toolbox to generate adversarial examples that fool neural networks
Dou Goodman
Xin Hao
Yang Wang
Yuesheng Wu
Junfeng Xiong
Huan Zhang
AAML
138
55
0
13 Jan 2020
A comprehensive deep learning-based approach to reduced order modeling
  of nonlinear time-dependent parametrized PDEs
A comprehensive deep learning-based approach to reduced order modeling of nonlinear time-dependent parametrized PDEs
S. Fresca
Luca Dede'
Andrea Manzoni
AI4CE
98
267
0
12 Jan 2020
Aggregated Learning: A Vector-Quantization Approach to Learning Neural
  Network Classifiers
Aggregated Learning: A Vector-Quantization Approach to Learning Neural Network Classifiers
M. Soflaei
Hongyu Guo
Ali Al-Bashabsheh
Yongyi Mao
Richong Zhang
MQ
37
8
0
12 Jan 2020
Learning Cross-Context Entity Representations from Text
Learning Cross-Context Entity Representations from Text
Jeffrey Ling
Nicholas FitzGerald
Zifei Shan
Livio Baldini Soares
Thibault Févry
David J. Weiss
Tom Kwiatkowski
77
32
0
11 Jan 2020
Multi-layer Optimizations for End-to-End Data Analytics
Multi-layer Optimizations for End-to-End Data Analytics
Amir Shaikhha
Maximilian Schleich
Alexandru Ghita
Dan Olteanu
29
18
0
10 Jan 2020
A Differentiable Recurrent Surface for Asynchronous Event-Based Data
A Differentiable Recurrent Surface for Asynchronous Event-Based Data
Marco Cannici
Marco Ciccone
Andrea Romanoni
Matteo Matteucci
95
27
0
10 Jan 2020
Exploiting Unlabeled Data in Smart Cities using Federated Learning
Exploiting Unlabeled Data in Smart Cities using Federated Learning
A. Albaseer
Bekir Sait Ciftler
M. Abdallah
Ala I. Al-Fuqaha
81
18
0
10 Jan 2020
To Transfer or Not to Transfer: Misclassification Attacks Against
  Transfer Learned Text Classifiers
To Transfer or Not to Transfer: Misclassification Attacks Against Transfer Learned Text Classifiers
Bijeeta Pal
Shruti Tople
AAML
75
9
0
08 Jan 2020
VulDeeLocator: A Deep Learning-based Fine-grained Vulnerability Detector
VulDeeLocator: A Deep Learning-based Fine-grained Vulnerability Detector
Zhuguo Li
Deqing Zou
Shouhuai Xu
Zhaoxuan Chen
Yawei Zhu
Hai Jin
93
191
0
08 Jan 2020
Blue River Controls: A toolkit for Reinforcement Learning Control
  Systems on Hardware
Blue River Controls: A toolkit for Reinforcement Learning Control Systems on Hardware
Kirill Polzounov
R. Sundar
L. Redden
38
10
0
07 Jan 2020
PaRoT: A Practical Framework for Robust Deep Neural Network Training
PaRoT: A Practical Framework for Robust Deep Neural Network Training
Edward W. Ayers
Francisco Eiras
Majd Hawasly
I. Whiteside
OOD
97
19
0
07 Jan 2020
CNN 101: Interactive Visual Learning for Convolutional Neural Networks
CNN 101: Interactive Visual Learning for Convolutional Neural Networks
Zijie J. Wang
Robert Turko
Omar Shaikh
Haekyu Park
Nilaksh Das
Fred Hohman
Minsuk Kahng
Duen Horng Chau
SSLHAIFAtt
78
26
0
07 Jan 2020
FedDANE: A Federated Newton-Type Method
FedDANE: A Federated Newton-Type Method
Tian Li
Anit Kumar Sahu
Manzil Zaheer
Maziar Sanjabi
Ameet Talwalkar
Virginia Smith
FedML
162
155
0
07 Jan 2020
HyGCN: A GCN Accelerator with Hybrid Architecture
HyGCN: A GCN Accelerator with Hybrid Architecture
Yurui Lai
Lei Deng
Xing Hu
Ling Liang
Yujing Feng
Xiaochun Ye
Zhimin Zhang
Xiaochun Ye
Yuan Xie
GNN
113
296
0
07 Jan 2020
Express Wavenet -- a low parameter optical neural network with random
  shift wavelet pattern
Express Wavenet -- a low parameter optical neural network with random shift wavelet pattern
Yingshi Chen
110
6
0
06 Jan 2020
SurveilEdge: Real-time Video Query based on Collaborative Cloud-Edge
  Deep Learning
SurveilEdge: Real-time Video Query based on Collaborative Cloud-Edge Deep Learning
Shibo Wang
Shusen Yang
Cong Zhao
60
61
0
04 Jan 2020
Ripple: A Practical Declarative Programming Framework for Serverless
  Compute
Ripple: A Practical Declarative Programming Framework for Serverless Compute
Shannon Joyner
M. MacCoss
Christina Delimitrou
Hakim Weatherspoon
46
18
0
01 Jan 2020
Deep Learning-Based Intrusion Detection System for Advanced Metering
  Infrastructure
Deep Learning-Based Intrusion Detection System for Advanced Metering Infrastructure
Zakaria El Mrabet
Mehdi Ezzari
Hassan El Ghazi
B. A. E. Majd
23
14
0
31 Dec 2019
Quantum Adversarial Machine Learning
Quantum Adversarial Machine Learning
Sirui Lu
L. Duan
D. Deng
AAML
115
102
0
31 Dec 2019
Deep Learning on Image Denoising: An overview
Deep Learning on Image Denoising: An overview
Chunwei Tian
Lunke Fei
Wenxian Zheng
Yong-mei Xu
W. Zuo
Chia-Wen Lin
223
839
0
31 Dec 2019
Biophysical models of cis-regulation as interpretable neural networks
Biophysical models of cis-regulation as interpretable neural networks
Ammar Tareen
J. Kinney
AI4CE
33
22
0
30 Dec 2019
Quantifying the Performance of Federated Transfer Learning
Quantifying the Performance of Federated Transfer Learning
Qinghe Jing
Weiyan Wang
Junxue Zhang
Han Tian
Kai Chen
FedML
138
24
0
30 Dec 2019
RoadTagger: Robust Road Attribute Inference with Graph Neural Networks
RoadTagger: Robust Road Attribute Inference with Graph Neural Networks
Songtao He
Favyen Bastani
Satvat Jagwani
Edward Park
Sofiane Abbar
Mohammad Alizadeh
H. Balakrishnan
Sanjay Chawla
Samuel Madden
M. Sadeghi
76
34
0
28 Dec 2019
Improved Multi-Stage Training of Online Attention-based Encoder-Decoder
  Models
Improved Multi-Stage Training of Online Attention-based Encoder-Decoder Models
Abhinav Garg
Dhananjaya N. Gowda
Ankur Kumar
Kwangyoun Kim
Mehul Kumar
Chanwoo Kim
3DV
44
15
0
28 Dec 2019
Fully Automated Multi-Organ Segmentation in Abdominal Magnetic Resonance
  Imaging with Deep Neural Networks
Fully Automated Multi-Organ Segmentation in Abdominal Magnetic Resonance Imaging with Deep Neural Networks
Yuhua Chen
Dan Ruan
Jiayu Xiao
Lixia Wang
Bin Sun
R. Saouaf
Wensha Yang
Debiao Li
Z. Fan
67
59
0
23 Dec 2019
BackPACK: Packing more into backprop
BackPACK: Packing more into backprop
Felix Dangel
Frederik Kunstner
Philipp Hennig
ODL
111
103
0
23 Dec 2019
5D Light Field Synthesis from a Monocular Video
5D Light Field Synthesis from a Monocular Video
K. Bae
Andre Ivan
Hajime Nagahara
I. Park
MDE
55
6
0
23 Dec 2019
Tag-less Back-Translation
Tag-less Back-Translation
Idris Abdulmumin
B. Galadanci
Aliyu Dadan Garba
84
11
0
22 Dec 2019
Rapid Whole-Heart CMR with Single Volume Super-resolution
Rapid Whole-Heart CMR with Single Volume Super-resolution
J. Steeden
Michael Quail
A. Gotschy
A. Hauptmann
Simon Arridge
R. Jones
V. Muthurangu
76
52
0
22 Dec 2019
power-law nonlinearity with maximally uniform distribution criterion for
  improved neural network training in automatic speech recognition
power-law nonlinearity with maximally uniform distribution criterion for improved neural network training in automatic speech recognition
Chanwoo Kim
Mehul Kumar
Kwangyoun Kim
Dhananjaya N. Gowda
60
9
0
22 Dec 2019
A Deep Neuro-Fuzzy Network for Image Classification
A Deep Neuro-Fuzzy Network for Image Classification
Omolbanin Yazdanbakhsh
S. Dick
39
24
0
22 Dec 2019
end-to-end training of a large vocabulary end-to-end speech recognition
  system
end-to-end training of a large vocabulary end-to-end speech recognition system
Chanwoo Kim
Sungsoo Kim
Kwangyoun Kim
Mehul Kumar
Jiyeon Kim
...
Eunhyang Kim
Minkyoo Shin
Shatrughan Singh
Larry Heck
Dhananjaya N. Gowda
61
27
0
22 Dec 2019
Chart Auto-Encoders for Manifold Structured Data
Chart Auto-Encoders for Manifold Structured Data
Stefan C. Schonsheck
Jie Chen
Rongjie Lai
DRLGNN
44
29
0
20 Dec 2019
A Survey on Distributed Machine Learning
A Survey on Distributed Machine Learning
Joost Verbraeken
Matthijs Wolting
Jonathan Katzy
Jeroen Kloppenburg
Tim Verbelen
Jan S. Rellermeyer
OOD
122
715
0
20 Dec 2019
An Unsupervised Deep Learning Method for Multi-coil Cine MRI
An Unsupervised Deep Learning Method for Multi-coil Cine MRI
Ziwen Ke
Jing Cheng
L. Ying
Hairong Zheng
Yanjie Zhu
Dong Liang
45
0
0
20 Dec 2019
Smart Home Appliances: Chat with Your Fridge
Smart Home Appliances: Chat with Your Fridge
Denis A. Gudovskiy
Gyuri Han
Takuya Yamaguchi
Sotaro Tsukizawa
LRM
26
4
0
19 Dec 2019
LS-Net: Fast Single-Shot Line-Segment Detector
LS-Net: Fast Single-Shot Line-Segment Detector
Van Nhan Nguyen
Robert Jenssen
D. Roverso
59
52
0
19 Dec 2019
Learning Convex Optimization Control Policies
Learning Convex Optimization Control Policies
Akshay Agrawal
Shane T. Barratt
Stephen P. Boyd
Bartolomeo Stellato
80
70
0
19 Dec 2019
Metamorphic Testing for Object Detection Systems
Metamorphic Testing for Object Detection Systems
Shuai Wang
Z. Su
75
24
0
19 Dec 2019
Real-Time Object Detection and Localization in Compressive Sensed Video
  on Embedded Hardware
Real-Time Object Detection and Localization in Compressive Sensed Video on Embedded Hardware
Y. Bethi
Sathyaprakash Narayanan
Venkat Rangan
Chetan Singh Thakur
20
2
0
18 Dec 2019
Capsule Attention for Multimodal EEG-EOG Representation Learning with
  Application to Driver Vigilance Estimation
Capsule Attention for Multimodal EEG-EOG Representation Learning with Application to Driver Vigilance Estimation
Guangyi Zhang
Ali Etemad
48
45
0
17 Dec 2019
Transductive Zero-Shot Learning for 3D Point Cloud Classification
Transductive Zero-Shot Learning for 3D Point Cloud Classification
A. Cheraghian
Shafin Rahman
Dylan Campbell
L. Petersson
3DPC
102
57
0
16 Dec 2019
High-resolution imaging on TPUs
High-resolution imaging on TPUs
F. Huot
Yi-Fan Chen
R. Clapp
C. Boneti
John R. Anderson
44
13
0
13 Dec 2019
Fully-Convolutional Intensive Feature Flow Neural Network for Text
  Recognition
Fully-Convolutional Intensive Feature Flow Neural Network for Text Recognition
Zhao Zhang
Zemin Tang
Zheng Zhang
Yang Wang
Jie Qin
Meng Wang
82
7
0
13 Dec 2019
Array Languages Make Neural Networks Fast
Array Languages Make Neural Networks Fast
Artjoms Šinkarovs
Hans-Nikolai Vießmann
S. Scholz
27
5
0
11 Dec 2019
Wide-Area Land Cover Mapping with Sentinel-1 Imagery using Deep Learning
  Semantic Segmentation Models
Wide-Area Land Cover Mapping with Sentinel-1 Imagery using Deep Learning Semantic Segmentation Models
S. Šćepanović
O. Antropov
Pekka Laurila
Y. Rauste
V. Ignatenko
J. Praks
SSeg
53
42
0
11 Dec 2019
Encoding Musical Style with Transformer Autoencoders
Encoding Musical Style with Transformer Autoencoders
Kristy Choi
Curtis Hawthorne
Ian Simon
Monica Dinculescu
Jesse Engel
95
90
0
10 Dec 2019
Previous
123...565758...848586
Next