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TensorFlow: A system for large-scale machine learning

TensorFlow: A system for large-scale machine learning

27 May 2016
Martín Abadi
P. Barham
Jianmin Chen
Zhehuai 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
    GNN
    AI4CE
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Papers citing "TensorFlow: A system for large-scale machine learning"

50 / 3,547 papers shown
Title
IterMiUnet: A lightweight architecture for automatic blood vessel
  segmentation
IterMiUnet: A lightweight architecture for automatic blood vessel segmentation
Ashish Kumar
R. Agrawal
Leve Joseph
22
21
0
02 Aug 2022
Understanding the classes better with class-specific and rule-specific
  feature selection, and redundancy control in a fuzzy rule based framework
Understanding the classes better with class-specific and rule-specific feature selection, and redundancy control in a fuzzy rule based framework
Suchismita Das
Nikhil Pal
6
0
0
02 Aug 2022
On the Evaluation of User Privacy in Deep Neural Networks using Timing
  Side Channel
On the Evaluation of User Privacy in Deep Neural Networks using Timing Side Channel
Shubhi Shukla
Manaar Alam
Sarani Bhattacharya
Debdeep Mukhopadhyay
Pabitra Mitra
AAML
27
2
0
01 Aug 2022
Assessing the robustness of critical behavior in stochastic cellular
  automata
Assessing the robustness of critical behavior in stochastic cellular automata
S. Pontes-Filho
Pedro G. Lind
Stefano Nichele
37
2
0
01 Aug 2022
Learning an Interpretable Model for Driver Behavior Prediction with
  Inductive Biases
Learning an Interpretable Model for Driver Behavior Prediction with Inductive Biases
Salar Arbabi
D. Tavernini
Saber Fallah
Richard Bowden
32
6
0
31 Jul 2022
Celeritas: Fast Optimizer for Large Dataflow Graphs
Celeritas: Fast Optimizer for Large Dataflow Graphs
Hengwei Xu
Yong Liao
Haiyong Xie
Pengyuan Zhou
GNN
25
1
0
30 Jul 2022
Towards Communication-efficient Vertical Federated Learning Training via
  Cache-enabled Local Updates
Towards Communication-efficient Vertical Federated Learning Training via Cache-enabled Local Updates
Fangcheng Fu
Xupeng Miao
Jiawei Jiang
Huanran Xue
Bin Cui
FedML
32
21
0
29 Jul 2022
Deep Reinforcement Learning for System-on-Chip: Myths and Realities
Deep Reinforcement Learning for System-on-Chip: Myths and Realities
Tegg Taekyong Sung
Bo Ryu
19
3
0
29 Jul 2022
Initialization and Alignment for Adversarial Texture Optimization
Initialization and Alignment for Adversarial Texture Optimization
Xiaoming Zhao
Zhizhen Zhao
Alex Schwing
17
2
0
28 Jul 2022
NNSmith: Generating Diverse and Valid Test Cases for Deep Learning
  Compilers
NNSmith: Generating Diverse and Valid Test Cases for Deep Learning Compilers
Jiawei Liu
Jinkun Lin
Fabian Ruffy
Cheng Tan
Jinyang Li
Aurojit Panda
Lingming Zhang
76
57
0
26 Jul 2022
Hansel: A Chinese Few-Shot and Zero-Shot Entity Linking Benchmark
Hansel: A Chinese Few-Shot and Zero-Shot Entity Linking Benchmark
Zhenran Xu
Zifei Shan
Yuxin Li
Baotian Hu
Bing Qin
VLM
28
7
0
26 Jul 2022
SPAIC: A Spike-based Artificial Intelligence Computing Framework
SPAIC: A Spike-based Artificial Intelligence Computing Framework
Chaofei Hong
Mengwen Yuan
Mengxiao Zhang
Xiao Wang
Chengjun Zhang
Jiaxin Wang
Gang Pan
Zhaohui Wu
Huajin Tang
13
0
0
26 Jul 2022
Static Hand Gesture Recognition for American Sign Language using
  Neuromorphic Hardware
Static Hand Gesture Recognition for American Sign Language using Neuromorphic Hardware
Mohammadreza Mohammadi
Peyton S. Chandarana
J. Seekings
Sara Hendrix
Ramtin Zand
11
10
0
25 Jul 2022
SecretGen: Privacy Recovery on Pre-Trained Models via Distribution
  Discrimination
SecretGen: Privacy Recovery on Pre-Trained Models via Distribution Discrimination
Zhu-rong Yuan
Fan Wu
Yunhui Long
Chaowei Xiao
Yue Liu
23
8
0
25 Jul 2022
Differential testing for machine learning: an analysis for
  classification algorithms beyond deep learning
Differential testing for machine learning: an analysis for classification algorithms beyond deep learning
Steffen Herbold
Steffen Tunkel
36
4
0
25 Jul 2022
Dive into Big Model Training
Dive into Big Model Training
Qinghua Liu
Yuxiang Jiang
MoMe
AI4CE
LRM
21
3
0
25 Jul 2022
$\textit{FastSVD-ML-ROM}$: A Reduced-Order Modeling Framework based on
  Machine Learning for Real-Time Applications
FastSVD-ML-ROM\textit{FastSVD-ML-ROM}FastSVD-ML-ROM: A Reduced-Order Modeling Framework based on Machine Learning for Real-Time Applications
G. Drakoulas
T. Gortsas
G. Bourantas
V. Burganos
D. Polyzos
AI4CE
18
15
0
24 Jul 2022
Face Deblurring using Dual Camera Fusion on Mobile Phones
Face Deblurring using Dual Camera Fusion on Mobile Phones
Wei-Sheng Lai
Yichang Shih
Lun-Cheng Chu
Xiaotong Wu
Sung-Fang Tsai
Michael Krainin
Deqing Sun
Chia-Kai Liang
CVBM
3DH
33
19
0
23 Jul 2022
Do Artificial Intelligence Systems Understand?
Do Artificial Intelligence Systems Understand?
Eduardo C. Garrido-Merchán
Carlos Blanco
22
6
0
22 Jul 2022
Layer-Wise Partitioning and Merging for Efficient and Scalable Deep
  Learning
Layer-Wise Partitioning and Merging for Efficient and Scalable Deep Learning
S. Akintoye
Liangxiu Han
H. Lloyd
Xin Zhang
Darren Dancey
Haoming Chen
Daoqiang Zhang
FedML
34
5
0
22 Jul 2022
Aries: Efficient Testing of Deep Neural Networks via Labeling-Free
  Accuracy Estimation
Aries: Efficient Testing of Deep Neural Networks via Labeling-Free Accuracy Estimation
Qiang Hu
Yuejun Guo
Xiaofei Xie
Maxime Cordy
Lei Ma
Mike Papadakis
Yves Le Traon
AAML
20
18
0
22 Jul 2022
Sobolev Training for Implicit Neural Representations with Approximated
  Image Derivatives
Sobolev Training for Implicit Neural Representations with Approximated Image Derivatives
Wentao Yuan
Qingtian Zhu
Xiangyue Liu
Yikang Ding
Haotian Zhang
Chi Zhang
22
3
0
21 Jul 2022
UniFed: All-In-One Federated Learning Platform to Unify Open-Source
  Frameworks
UniFed: All-In-One Federated Learning Platform to Unify Open-Source Frameworks
Xiaoyuan Liu
Tianneng Shi
Chulin Xie
Qinbin Li
Kangping Hu
...
The-Anh Vu-Le
Zhen Huang
Arash Nourian
Yue Liu
D. Song
FedML
34
8
0
21 Jul 2022
Data Science and Machine Learning in Education
Data Science and Machine Learning in Education
G. Benelli
Thomas Y. Chen
Javier Mauricio Duarte
Matthew Feickert
Matthew Graham
...
K. Terao
S. Thais
A. Roy
J. Vlimant
G. Chachamis
AI4CE
33
5
0
19 Jul 2022
Segmenting white matter hyperintensities on isotropic three-dimensional
  Fluid Attenuated Inversion Recovery magnetic resonance images: Assessing deep
  learning tools on norwegian imaging database
Segmenting white matter hyperintensities on isotropic three-dimensional Fluid Attenuated Inversion Recovery magnetic resonance images: Assessing deep learning tools on norwegian imaging database
M. Røvang
P. Selnes
B. MacIntosh
I. Groote
Lene Paalhaugen
Sudre Carole
T. Fladby
A. Bjørnerud
24
1
0
18 Jul 2022
An Experimental Evaluation of Machine Learning Training on a Real
  Processing-in-Memory System
An Experimental Evaluation of Machine Learning Training on a Real Processing-in-Memory System
Juan Gómez Luna
Yu-Yin Guo
Sylvan Brocard
Julien Legriel
Remy Cimadomo
Geraldo F. Oliveira
Gagandeep Singh
O. Mutlu
VLM
33
15
0
16 Jul 2022
Optimizing Data Collection in Deep Reinforcement Learning
Optimizing Data Collection in Deep Reinforcement Learning
James Gleeson
Daniel Snider
Yvonne Yang
Moshe Gabel
Eyal de Lara
Gennady Pekhimenko
18
1
0
15 Jul 2022
Identifying Orientation-specific Lipid-protein Fingerprints using Deep
  Learning
Identifying Orientation-specific Lipid-protein Fingerprints using Deep Learning
Fikret Aydin
Konstantia Georgouli
Gautham Dharuman
J. Glosli
F. Lightstone
Helgi I. Ingólfsson
P. Bremer
H. Bhatia
15
0
0
14 Jul 2022
Virtual stain transfer in histology via cascaded deep neural networks
Virtual stain transfer in histology via cascaded deep neural networks
Xilin Yang
Bijie Bai
Yijie Zhang
Yuzhu Li
Kevin de Haan
Tairan Liu
Aydogan Ozcan
MedIm
25
28
0
14 Jul 2022
Graph CNN for Moving Object Detection in Complex Environments from
  Unseen Videos
Graph CNN for Moving Object Detection in Complex Environments from Unseen Videos
Jhony H. Giraldo
S. Javed
Naoufel Werghi
T. Bouwmans
29
26
0
13 Jul 2022
DiverGet: A Search-Based Software Testing Approach for Deep Neural
  Network Quantization Assessment
DiverGet: A Search-Based Software Testing Approach for Deep Neural Network Quantization Assessment
Ahmed Haj Yahmed
Houssem Ben Braiek
Foutse Khomh
S. Bouzidi
Rania Zaatour
MQ
30
7
0
13 Jul 2022
Is one annotation enough? A data-centric image classification benchmark
  for noisy and ambiguous label estimation
Is one annotation enough? A data-centric image classification benchmark for noisy and ambiguous label estimation
Lars Schmarje
Vasco Grossmann
Claudius Zelenka
S. Dippel
R. Kiko
...
M. Pastell
J. Stracke
A. Valros
N. Volkmann
Reinahrd Koch
45
34
0
13 Jul 2022
Bottlenecks CLUB: Unifying Information-Theoretic Trade-offs Among
  Complexity, Leakage, and Utility
Bottlenecks CLUB: Unifying Information-Theoretic Trade-offs Among Complexity, Leakage, and Utility
Behrooz Razeghi
Flavio du Pin Calmon
Deniz Gunduz
Slava Voloshynovskiy
34
15
0
11 Jul 2022
Horizontal Federated Learning and Secure Distributed Training for
  Recommendation System with Intel SGX
Horizontal Federated Learning and Secure Distributed Training for Recommendation System with Intel SGX
Siyuan Hui
Yuqiu Zhang
A. Hu
Edmund Song
FedML
23
2
0
11 Jul 2022
Synergy and Symmetry in Deep Learning: Interactions between the Data,
  Model, and Inference Algorithm
Synergy and Symmetry in Deep Learning: Interactions between the Data, Model, and Inference Algorithm
Lechao Xiao
Jeffrey Pennington
48
10
0
11 Jul 2022
TensorIR: An Abstraction for Automatic Tensorized Program Optimization
TensorIR: An Abstraction for Automatic Tensorized Program Optimization
Siyuan Feng
Bohan Hou
Hongyi Jin
Wuwei Lin
Junru Shao
...
Zihao Ye
Lianmin Zheng
Cody Hao Yu
Yong Yu
Tianqi Chen
28
66
0
09 Jul 2022
Batch-efficient EigenDecomposition for Small and Medium Matrices
Batch-efficient EigenDecomposition for Small and Medium Matrices
Yue Song
N. Sebe
Wei Wang
37
2
0
09 Jul 2022
Towards Highly Expressive Machine Learning Models of Non-Melanoma Skin
  Cancer
Towards Highly Expressive Machine Learning Models of Non-Melanoma Skin Cancer
S. Thomas
J. Lefevre
Glenn W. Baxter
N. Hamilton
MedIm
29
2
0
09 Jul 2022
TF-GNN: Graph Neural Networks in TensorFlow
TF-GNN: Graph Neural Networks in TensorFlow
Oleksandr Ferludin
Arno Eigenwillig
Martin J. Blais
Dustin Zelle
Jan Pfeifer
...
Anton Tsitsulin
Kevin Villela
Lisa Wang
David Wong
Bryan Perozzi
GNN
20
35
0
07 Jul 2022
Effective and Efficient Training for Sequential Recommendation using
  Recency Sampling
Effective and Efficient Training for Sequential Recommendation using Recency Sampling
Aleksandr V. Petrov
Craig Macdonald
35
28
0
06 Jul 2022
Cascaded Deep Hybrid Models for Multistep Household Energy Consumption
  Forecasting
Cascaded Deep Hybrid Models for Multistep Household Energy Consumption Forecasting
L. Saad Saoud
Hasan Almarzouqi
Ramy Hussein
13
4
0
06 Jul 2022
AI-enhanced iterative solvers for accelerating the solution of large
  scale parametrized systems
AI-enhanced iterative solvers for accelerating the solution of large scale parametrized systems
Stefanos Nikolopoulos
I. Kalogeris
V. Papadopoulos
G. Stavroulakis
29
11
0
06 Jul 2022
Betty: An Automatic Differentiation Library for Multilevel Optimization
Betty: An Automatic Differentiation Library for Multilevel Optimization
Sang Keun Choe
Willie Neiswanger
P. Xie
Eric P. Xing
AI4CE
41
30
0
05 Jul 2022
Counterbalancing Teacher: Regularizing Batch Normalized Models for
  Robustness
Counterbalancing Teacher: Regularizing Batch Normalized Models for Robustness
Saeid Asgari Taghanaki
A. Gholami
Fereshte Khani
Kristy Choi
Linh-Tam Tran
Ran Zhang
Aliasghar Khani
16
0
0
04 Jul 2022
Segmentation Guided Deep HDR Deghosting
Segmentation Guided Deep HDR Deghosting
K. Prabhakar
Susmit Agrawal
R. Venkatesh Babu
22
2
0
04 Jul 2022
Protea: Client Profiling within Federated Systems using Flower
Protea: Client Profiling within Federated Systems using Flower
Wanru Zhao
Xinchi Qiu
Javier Fernandez-Marques
Pedro Porto Buarque de Gusmão
Nicholas D. Lane
34
6
0
03 Jul 2022
Features of a Splashing Drop on a Solid Surface and the Temporal
  Evolution extracted through Image-Sequence Classification using an
  Interpretable Feedforward Neural Network
Features of a Splashing Drop on a Solid Surface and the Temporal Evolution extracted through Image-Sequence Classification using an Interpretable Feedforward Neural Network
Jingzu Yee
Daichi Igarashi(五十嵐大地)
A. Yamanaka
Yoshiyuki Tagawa(田川義之)
16
1
0
03 Jul 2022
Scheduling Planting Time Through Developing an Optimization Model and
  Analysis of Time Series Growing Degree Units
Scheduling Planting Time Through Developing an Optimization Model and Analysis of Time Series Growing Degree Units
Javad Ansarifar
Faezeh Akhavizadegan
Lizhi Wang
22
1
0
02 Jul 2022
FAIR principles for AI models with a practical application for
  accelerated high energy diffraction microscopy
FAIR principles for AI models with a practical application for accelerated high energy diffraction microscopy
Nikil Ravi
Pranshu Chaturvedi
Eliu A. Huerta
Zhengchun Liu
Ryan Chard
Aristana Scourtas
K. J. Schmidt
Kyle Chard
Ben Blaiszik
Ian Foster
42
26
0
01 Jul 2022
Evaluating the Explainers: Black-Box Explainable Machine Learning for
  Student Success Prediction in MOOCs
Evaluating the Explainers: Black-Box Explainable Machine Learning for Student Success Prediction in MOOCs
Vinitra Swamy
Bahar Radmehr
Natasa Krco
Mirko Marras
Tanja Käser
FAtt
ELM
19
40
0
01 Jul 2022
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