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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
Differentiable Forward Kinematics for TensorFlow 2
Differentiable Forward Kinematics for TensorFlow 2
Lukas Mölschl
Jakob J. Hollenstein
J. Piater
69
0
0
24 Jan 2023
A two stages Deep Learning Architecture for Model Reduction of
  Parametric Time-Dependent Problems
A two stages Deep Learning Architecture for Model Reduction of Parametric Time-Dependent Problems
Isabella Carla Gonnella
M. Hess
G. Stabile
G. Rozza
AI4CE
82
2
0
24 Jan 2023
A Stability Analysis of Fine-Tuning a Pre-Trained Model
A Stability Analysis of Fine-Tuning a Pre-Trained Model
Z. Fu
Anthony Man-Cho So
Nigel Collier
64
3
0
24 Jan 2023
SMDDH: Singleton Mention detection using Deep Learning in Hindi Text
SMDDH: Singleton Mention detection using Deep Learning in Hindi Text
K. Lata
Pardeep Singh
Kamlesh Dutta
63
1
0
23 Jan 2023
The Backpropagation algorithm for a math student
The Backpropagation algorithm for a math student
S. Damadi
Golnaz Moharrer
Mostafa Cham
60
4
0
22 Jan 2023
Tensor Networks Meet Neural Networks: A Survey and Future Perspectives
Tensor Networks Meet Neural Networks: A Survey and Future Perspectives
Maolin Wang
Yu Pan
Zenglin Xu
Xiangli Yang
Guangxi Li
A. Cichocki
Andrzej Cichocki
210
22
0
22 Jan 2023
SuperScaler: Supporting Flexible DNN Parallelization via a Unified
  Abstraction
SuperScaler: Supporting Flexible DNN Parallelization via a Unified Abstraction
Zhiqi Lin
Youshan Miao
Guodong Liu
Xiaoxiang Shi
Quanlu Zhang
...
Xu Cao
Cheng-Wu Li
Mao Yang
Lintao Zhang
Lidong Zhou
63
6
0
21 Jan 2023
Massively Parallel Genetic Optimization through Asynchronous Propagation
  of Populations
Massively Parallel Genetic Optimization through Asynchronous Propagation of Populations
Oskar Taubert
Marie Weiel
D. Coquelin
Anis Farshian
Charlotte Debus
A. Schug
Achim Streit
Markus Gotz
62
8
0
20 Jan 2023
Baechi: Fast Device Placement of Machine Learning Graphs
Baechi: Fast Device Placement of Machine Learning Graphs
Beomyeol Jeon
L. Cai
Chirag Shetty
P. Srivastava
Jintao Jiang
Xiaolan Ke
Yitao Meng
Cong Xie
Indranil Gupta
GNN
47
19
0
20 Jan 2023
Accelerating and Compressing Deep Neural Networks for Massive MIMO CSI
  Feedback
Accelerating and Compressing Deep Neural Networks for Massive MIMO CSI Feedback
O. Erak
H. Abou-zeid
88
5
0
20 Jan 2023
Promises and pitfalls of deep neural networks in neuroimaging-based
  psychiatric research
Promises and pitfalls of deep neural networks in neuroimaging-based psychiatric research
Fabian Eitel
Marc-Andre Schulz
Moritz Seiler
Henrik Walter
K. Ritter
AI4CE
89
44
0
20 Jan 2023
Federated Automatic Differentiation
Federated Automatic Differentiation
Keith Rush
Zachary B. Charles
Zachary Garrett
FedML
93
1
0
18 Jan 2023
Beating the Best: Improving on AlphaFold2 at Protein Structure
  Prediction
Beating the Best: Improving on AlphaFold2 at Protein Structure Prediction
A. Abdel-Rehim
Oghenejokpeme I. Orhobor
Hang Lou
Hao Ni
Ross King
20
2
0
18 Jan 2023
EvoAAA: An evolutionary methodology for automated \neural autoencoder
  architecture search
EvoAAA: An evolutionary methodology for automated \neural autoencoder architecture search
F. Charte
Antonio J. Rivera
F. Martínez
M. J. D. Jesus
69
13
0
15 Jan 2023
Why is the State of Neural Network Pruning so Confusing? On the
  Fairness, Comparison Setup, and Trainability in Network Pruning
Why is the State of Neural Network Pruning so Confusing? On the Fairness, Comparison Setup, and Trainability in Network Pruning
Huan Wang
Can Qin
Yue Bai
Yun Fu
103
21
0
12 Jan 2023
Reaching the Edge of the Edge: Image Analysis in Space
Reaching the Edge of the Edge: Image Analysis in Space
R. Bayer
Julian Priest
Pınar Tözün
108
6
0
12 Jan 2023
Blockchain For Mobile Health Applications: Acceleration With GPU
  Computing
Blockchain For Mobile Health Applications: Acceleration With GPU Computing
G. Drakopoulos
Michael Marountas
Xenophon Liapakis
Giannis Tzimas
Phivos Mylonas
S. Sioutas
18
2
0
11 Jan 2023
BINN: A deep learning approach for computational mechanics problems
  based on boundary integral equations
BINN: A deep learning approach for computational mechanics problems based on boundary integral equations
Jia Sun
Yinghua Liu
Yizheng Wang
Z. Yao
Xiao-ping Zheng
PINNAI4CE
50
25
0
11 Jan 2023
VQNet 2.0: A New Generation Machine Learning Framework that Unifies
  Classical and Quantum
VQNet 2.0: A New Generation Machine Learning Framework that Unifies Classical and Quantum
Huanyu Bian
Z. Jia
Meng-Han Dou
Yuan Fang
Leijiao Li
...
Yang Yang
Weiming Zhang
Neng H. Yu
Zhao-Yun Chen
G. Guo
GNN
39
4
0
09 Jan 2023
Deep Injective Prior for Inverse Scattering
Deep Injective Prior for Inverse Scattering
AmirEhsan Khorashadizadeh
Vahid Khorashadi-Zadeh
Sepehr Eskandari
Guy A. E. Vandenbosch
Ivan Dokmanić
82
7
0
08 Jan 2023
Systems for Parallel and Distributed Large-Model Deep Learning Training
Systems for Parallel and Distributed Large-Model Deep Learning Training
Kabir Nagrecha
GNNVLMMoE
74
7
0
06 Jan 2023
AdaEnsemble: Learning Adaptively Sparse Structured Ensemble Network for
  Click-Through Rate Prediction
AdaEnsemble: Learning Adaptively Sparse Structured Ensemble Network for Click-Through Rate Prediction
Yachen Yan
Liubo Li
84
3
0
06 Jan 2023
xDeepInt: a hybrid architecture for modeling the vector-wise and
  bit-wise feature interactions
xDeepInt: a hybrid architecture for modeling the vector-wise and bit-wise feature interactions
Yachen Yan
Liubo Li
66
9
0
03 Jan 2023
DynInt: Dynamic Interaction Modeling for Large-scale Click-Through Rate
  Prediction
DynInt: Dynamic Interaction Modeling for Large-scale Click-Through Rate Prediction
Yachen Yan
Liubo Li
58
0
0
03 Jan 2023
EZInterviewer: To Improve Job Interview Performance with Mock Interview
  Generator
EZInterviewer: To Improve Job Interview Performance with Mock Interview Generator
Mingzhe Li
Preslav Nakov
Weiheng Liao
Yang Song
Tao Zhang
Dongyan Zhao
Rui Yan
94
10
0
03 Jan 2023
Follow the Timeline! Generating Abstractive and Extractive Timeline
  Summary in Chronological Order
Follow the Timeline! Generating Abstractive and Extractive Timeline Summary in Chronological Order
Preslav Nakov
Li Mingzhe
Shen Gao
Zhangming Chan
Dongyan Zhao
Xin Gao
Xiangliang Zhang
Rui Yan
349
4
0
02 Jan 2023
ConvNeXt V2: Co-designing and Scaling ConvNets with Masked Autoencoders
ConvNeXt V2: Co-designing and Scaling ConvNets with Masked Autoencoders
Sanghyun Woo
Shoubhik Debnath
Ronghang Hu
Xinlei Chen
Zhuang Liu
In So Kweon
Saining Xie
SyDa
165
825
0
02 Jan 2023
Point Cloud-based Proactive Link Quality Prediction for Millimeter-wave
  Communications
Point Cloud-based Proactive Link Quality Prediction for Millimeter-wave Communications
Shoki Ohta
Takayuki Nishio
R. Kudo
Kahoko Takahashi
Hisashi Nagata
51
7
0
02 Jan 2023
Macro-block dropout for improved regularization in training end-to-end
  speech recognition models
Macro-block dropout for improved regularization in training end-to-end speech recognition models
Chanwoo Kim
Sathish Indurti
Jinhwan Park
Wonyong Sung
61
0
0
29 Dec 2022
Beyond 5G Networks: Integration of Communication, Computing, Caching,
  and Control
Beyond 5G Networks: Integration of Communication, Computing, Caching, and Control
M. M. Adam
Liqiang Zhao
Kezhi Wang
Zhu Han
37
10
0
26 Dec 2022
Quality at the Tail of Machine Learning Inference
Quality at the Tail of Machine Learning Inference
Zhengxin Yang
Wanling Gao
Chunjie Luo
Lei Wang
Fei Tang
Xu Wen
Jianfeng Zhan
78
1
0
25 Dec 2022
Scalable Adaptive Computation for Iterative Generation
Scalable Adaptive Computation for Iterative Generation
Allan Jabri
David Fleet
Ting-Li Chen
DiffM
80
117
0
22 Dec 2022
Automatically Bounding the Taylor Remainder Series: Tighter Bounds and
  New Applications
Automatically Bounding the Taylor Remainder Series: Tighter Bounds and New Applications
Matthew J. Streeter
Joshua V. Dillon
28
11
0
22 Dec 2022
Robust Path Selection in Software-defined WANs using Deep Reinforcement
  Learning
Robust Path Selection in Software-defined WANs using Deep Reinforcement Learning
Shahrooz Pouryousef
Lixin Gao
Don Towsley
42
1
0
21 Dec 2022
Towards Efficient Visual Simplification of Computational Graphs in Deep
  Neural Networks
Towards Efficient Visual Simplification of Computational Graphs in Deep Neural Networks
Rusheng Pan
Zhiyong Wang
Yating Wei
Han Gao
Gongchang Ou
Caleb Chen Cao
Jinglin Xu
Tong Xu
Wei Chen
GNN
48
4
0
21 Dec 2022
PropSegmEnt: A Large-Scale Corpus for Proposition-Level Segmentation and
  Entailment Recognition
PropSegmEnt: A Large-Scale Corpus for Proposition-Level Segmentation and Entailment Recognition
Sihao Chen
S. Buthpitiya
Alex Fabrikant
Dan Roth
Tal Schuster
69
25
0
21 Dec 2022
ToL: A Tensor of List-Based Unified Computation Model
ToL: A Tensor of List-Based Unified Computation Model
Hongxiao Li
Wanling Gao
Lei Wang
Jianfeng Zhan
29
0
0
21 Dec 2022
Efficient and Sound Differentiable Programming in a Functional
  Array-Processing Language
Efficient and Sound Differentiable Programming in a Functional Array-Processing Language
Amir Shaikhha
Mathieu Huot
Shabnam Ghasemirad
Andrew Fitzgibbon
S. Jones
Dimitrios Vytiniotis
84
1
0
20 Dec 2022
Containerisation for High Performance Computing Systems: Survey and
  Prospects
Containerisation for High Performance Computing Systems: Survey and Prospects
Naweiluo Zhou
Huan Zhou
Dennis Hoppe
65
27
0
16 Dec 2022
Machine Learning Systems are Bloated and Vulnerable
Machine Learning Systems are Bloated and Vulnerable
Huaifeng Zhang
Fahmi Abdulqadir Ahmed
Dyako Fatih
Akayou Kitessa
Mohannad J. Alhanahnah
Philipp Leitner
Ahmed Ali-Eldin
39
5
0
16 Dec 2022
Kernel-as-a-Service: A Serverless Interface to GPUs
Kernel-as-a-Service: A Serverless Interface to GPUs
Nathan Pemberton
Anton Zabreyko
Zhoujie Ding
R. Katz
Joseph E. Gonzalez
68
9
0
15 Dec 2022
Differentiating Nonsmooth Solutions to Parametric Monotone Inclusion
  Problems
Differentiating Nonsmooth Solutions to Parametric Monotone Inclusion Problems
Jérôme Bolte
Edouard Pauwels
Antonio Silveti-Falls
67
13
0
15 Dec 2022
Improving Warped Planar Object Detection Network For Automatic License
  Plate Recognition
Improving Warped Planar Object Detection Network For Automatic License Plate Recognition
Nguyen Dinh Tra
Nguyen Cong Tri
P. D. Hung
39
1
0
14 Dec 2022
Generating extreme quantum scattering in graphene with machine learning
Generating extreme quantum scattering in graphene with machine learning
Chen-Di Han
Y. Lai
59
4
0
13 Dec 2022
Smart Journey in Istanbul: A Mobile Application in Smart Cities for
  Traffic Estimation by Harnessing Time Series
Smart Journey in Istanbul: A Mobile Application in Smart Cities for Traffic Estimation by Harnessing Time Series
Senem Tanberk
Mustafa Can
18
0
0
13 Dec 2022
Numerical Stability of DeepGOPlus Inference
Numerical Stability of DeepGOPlus Inference
Inés Gonzalez Pepe
Yohan Chatelain
Gregory Kiar
Tristan Glatard
BDL
52
2
0
13 Dec 2022
Graph-Regularized Manifold-Aware Conditional Wasserstein GAN for Brain
  Functional Connectivity Generation
Graph-Regularized Manifold-Aware Conditional Wasserstein GAN for Brain Functional Connectivity Generation
Yee-Fan Tan
C. Ting
Fuad M. Noman
Raphaël C.-W. Phan
H. Ombao
MedIm
62
7
0
10 Dec 2022
Optimized Sparse Matrix Operations for Reverse Mode Automatic
  Differentiation
Optimized Sparse Matrix Operations for Reverse Mode Automatic Differentiation
Nicolas Nytko
Ali Taghibakhshi
Tareq Uz Zaman
S. MacLachlan
Luke N. Olson
Matthew West
61
7
0
10 Dec 2022
OFASys: A Multi-Modal Multi-Task Learning System for Building Generalist
  Models
OFASys: A Multi-Modal Multi-Task Learning System for Building Generalist Models
Jinze Bai
Rui Men
Han Yang
Xuancheng Ren
Kai Dang
...
Wenhang Ge
Jianxin Ma
Junyang Lin
Jingren Zhou
Chang Zhou
88
16
0
08 Dec 2022
Skellam Mixture Mechanism: a Novel Approach to Federated Learning with
  Differential Privacy
Skellam Mixture Mechanism: a Novel Approach to Federated Learning with Differential Privacy
Ergute Bao
Yizheng Zhu
X. Xiao
Yifan Yang
Beng Chin Ooi
B. Tan
Khin Mi Mi Aung
FedML
82
19
0
08 Dec 2022
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