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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 / 4,264 papers shown
Title
DOC3-Deep One Class Classification using Contradictions
DOC3-Deep One Class Classification using Contradictions
Sauptik Dhar
Bernardo Gonzalez Torres
125
3
0
17 May 2021
EasyFL: A Low-code Federated Learning Platform For Dummies
EasyFL: A Low-code Federated Learning Platform For Dummies
Weiming Zhuang
Xin Gan
Yonggang Wen
Shuai Zhang
FedML
87
48
0
17 May 2021
Dermoscopic Image Classification with Neural Style Transfer
Dermoscopic Image Classification with Neural Style Transfer
J. Y. Li
Ruoqing Zhu
Annie Qu
Mike Yeh
MedIm
46
2
0
17 May 2021
Rethinking "Batch" in BatchNorm
Rethinking "Batch" in BatchNorm
Yuxin Wu
Justin Johnson
BDL
125
66
0
17 May 2021
Advances in Multi-Variate Analysis Methods for New Physics Searches at
  the Large Hadron Collider
Advances in Multi-Variate Analysis Methods for New Physics Searches at the Large Hadron Collider
A. Stakia
T. Dorigo
G. Banelli
D. Bortoletto
A. Casa
...
G. Strong
C. Tosciri
J. Varela
Pietro Vischia
A. Weiler
38
3
0
16 May 2021
MSRF-Net: A Multi-Scale Residual Fusion Network for Biomedical Image
  Segmentation
MSRF-Net: A Multi-Scale Residual Fusion Network for Biomedical Image Segmentation
Abhishek Srivastava
Debesh Jha
S. Chanda
Umapada Pal
Haavard D. Johansen
Dag Johansen
Michael A. Riegler
Sharib Ali
Pål Halvorsen
102
209
0
16 May 2021
Stacked Deep Multi-Scale Hierarchical Network for Fast Bokeh Effect
  Rendering from a Single Image
Stacked Deep Multi-Scale Hierarchical Network for Fast Bokeh Effect Rendering from a Single Image
S. Dutta
Sourya Dipta Das
Nisarg A. Shah
A. Tiwari
52
28
0
15 May 2021
Predicting Surface Reflectance Properties of Outdoor Scenes Under
  Unknown Natural Illumination
Predicting Surface Reflectance Properties of Outdoor Scenes Under Unknown Natural Illumination
Farhan Rahman Wasee
Alen Joy
Charalambos (Charis) Poullis
3DV
23
0
0
14 May 2021
OpenFL: An open-source framework for Federated Learning
OpenFL: An open-source framework for Federated Learning
G. A. Reina
Alexey Gruzdev
Patrick Foley
O. Perepelkina
Mansi Sharma
...
Sarthak Pati
Prakash Narayana Moorthy
Shih-Han Wang
Prashant Shah
Spyridon Bakas
FedMLAIFin
109
113
0
13 May 2021
Spelling Correction with Denoising Transformer
Spelling Correction with Denoising Transformer
Alexandr Kuznetsov
Hector Urdiales
51
18
0
12 May 2021
SimNet: Accurate and High-Performance Computer Architecture Simulation
  using Deep Learning
SimNet: Accurate and High-Performance Computer Architecture Simulation using Deep Learning
Lingda Li
Santosh Pandey
T. Flynn
Hang Liu
Noel Wheeler
A. Hoisie
46
8
0
12 May 2021
Breaking the Computation and Communication Abstraction Barrier in
  Distributed Machine Learning Workloads
Breaking the Computation and Communication Abstraction Barrier in Distributed Machine Learning Workloads
Abhinav Jangda
Jun Huang
Guodong Liu
Amir Hossein Nodehi Sabet
Saeed Maleki
Youshan Miao
Madan Musuvathi
Todd Mytkowicz
Olli Saarikivi
77
64
0
12 May 2021
Directional GAN: A Novel Conditioning Strategy for Generative Networks
Directional GAN: A Novel Conditioning Strategy for Generative Networks
Shradha Agrawal
Shankar Venkitachalam
Dhanya Raghu
Deepak Pai
GAN
40
2
0
12 May 2021
kdehumor at semeval-2020 task 7: a neural network model for detecting
  funniness in dataset humicroedit
kdehumor at semeval-2020 task 7: a neural network model for detecting funniness in dataset humicroedit
Rida Miraj
Masaki Aono
22
1
0
11 May 2021
Integrating extracted information from bert and multiple embedding
  methods with the deep neural network for humour detection
Integrating extracted information from bert and multiple embedding methods with the deep neural network for humour detection
Rida Miraj
Masaki Aono
39
2
0
11 May 2021
Agatha: Smart Contract for DNN Computation
Agatha: Smart Contract for DNN Computation
Zihan Zheng
Peichen Xie
Xian Zhang
Shuo Chen
Yang Chen
Xiaobing Guo
Guangzhong Sun
Guangyu Sun
Lidong Zhou
GNN
61
12
0
11 May 2021
GSPMD: General and Scalable Parallelization for ML Computation Graphs
GSPMD: General and Scalable Parallelization for ML Computation Graphs
Yuanzhong Xu
HyoukJoong Lee
Dehao Chen
Blake A. Hechtman
Yanping Huang
...
Noam M. Shazeer
Shibo Wang
Tao Wang
Yonghui Wu
Zhifeng Chen
MoE
76
131
0
10 May 2021
Scaffolding Simulations with Deep Learning for High-dimensional
  Deconvolution
Scaffolding Simulations with Deep Learning for High-dimensional Deconvolution
Anders Andreassen
Patrick T. Komiske
E. Metodiev
Benjamin Nachman
Adithya Suresh
Jesse Thaler
UQCV
77
30
0
10 May 2021
End-to-End Optical Character Recognition for Bengali Handwritten Words
End-to-End Optical Character Recognition for Bengali Handwritten Words
Farisa Benta Safir
Abu Quwsar Ohi
M. F. Mridha
M. Monowar
Md. Abdul Hamid
77
11
0
09 May 2021
Adaptive Latent Space Tuning for Non-Stationary Distributions
Adaptive Latent Space Tuning for Non-Stationary Distributions
A. Scheinker
F. Cropp
S. Paiagua
D. Filippetto
OOD
121
3
0
08 May 2021
Pareto-Optimal Quantized ResNet Is Mostly 4-bit
Pareto-Optimal Quantized ResNet Is Mostly 4-bit
AmirAli Abdolrashidi
Lisa Wang
Shivani Agrawal
J. Malmaud
Oleg Rybakov
Chas Leichner
Lukasz Lew
MQ
71
36
0
07 May 2021
Scalable Projection-Free Optimization
Scalable Projection-Free Optimization
Mingrui Zhang
94
0
0
07 May 2021
Topological Uncertainty: Monitoring trained neural networks through
  persistence of activation graphs
Topological Uncertainty: Monitoring trained neural networks through persistence of activation graphs
Théo Lacombe
Yuichi Ike
Mathieu Carrière
Frédéric Chazal
Marc Glisse
Yuhei Umeda
75
23
0
07 May 2021
BasisNet: Two-stage Model Synthesis for Efficient Inference
BasisNet: Two-stage Model Synthesis for Efficient Inference
Ruotong Wang
Chun-Te Chu
A. Zhmoginov
Andrew G. Howard
Brendan Jou
Yukun Zhu
Li Zhang
R. Hwa
Adriana Kovashka
3DH
83
7
0
07 May 2021
Multi-Perspective LSTM for Joint Visual Representation Learning
Multi-Perspective LSTM for Joint Visual Representation Learning
Alireza Sepas-Moghaddam
F. Pereira
P. Correia
Ali Etemad
75
10
0
06 May 2021
SIPSA-Net: Shift-Invariant Pan Sharpening with Moving Object Alignment
  for Satellite Imagery
SIPSA-Net: Shift-Invariant Pan Sharpening with Moving Object Alignment for Satellite Imagery
Jaehyup Lee
S. Seo
Munchurl Kim
65
28
0
06 May 2021
Scalable Graph Neural Network Training: The Case for Sampling
Scalable Graph Neural Network Training: The Case for Sampling
Marco Serafini
Hui Guan
GNN
88
28
0
05 May 2021
GRAPHOPT: constrained-optimization-based parallelization of irregular
  graphs
GRAPHOPT: constrained-optimization-based parallelization of irregular graphs
Nimish Shah
Wannes Meert
Marian Verhelst
17
5
0
05 May 2021
GALA: Greedy ComputAtion for Linear Algebra in Privacy-Preserved Neural
  Networks
GALA: Greedy ComputAtion for Linear Algebra in Privacy-Preserved Neural Networks
Qiao Zhang
Chunsheng Xin
Hongyi Wu
76
49
0
05 May 2021
NeuroXplorer 1.0: An Extensible Framework for Architectural Exploration
  with Spiking Neural Networks
NeuroXplorer 1.0: An Extensible Framework for Architectural Exploration with Spiking Neural Networks
Adarsha Balaji
Shihao Song
Twisha Titirsha
Anup Das
J. Krichmar
N. Dutt
J. Shackleford
Nagarajan Kandasamy
F. Catthoor
69
24
0
04 May 2021
Texture for Colors: Natural Representations of Colors Using Variable
  Bit-Depth Textures
Texture for Colors: Natural Representations of Colors Using Variable Bit-Depth Textures
S. Baluja
MQ
22
0
0
04 May 2021
Learning Traffic Speed Dynamics from Visualizations
Learning Traffic Speed Dynamics from Visualizations
Bilal Thonnam Thodi
Z. Khan
Saif Eddin Jabari
M. Menéndez
65
7
0
04 May 2021
GPUReplay: A 50-KB GPU Stack for Client ML
GPUReplay: A 50-KB GPU Stack for Client ML
Heejin Park
F. Lin
72
9
0
04 May 2021
Citadel: Protecting Data Privacy and Model Confidentiality for
  Collaborative Learning with SGX
Citadel: Protecting Data Privacy and Model Confidentiality for Collaborative Learning with SGX
Chengliang Zhang
Junzhe Xia
Baichen Yang
Huancheng Puyang
Wei Wang
Ruichuan Chen
Istemi Ekin Akkus
Paarijaat Aditya
Feng Yan
FedML
91
39
0
04 May 2021
Billion-scale Pre-trained E-commerce Product Knowledge Graph Model
Billion-scale Pre-trained E-commerce Product Knowledge Graph Model
Wen Zhang
Chi-Man Wong
Ganqiang Ye
Bo Wen
Wei Zhang
Huajun Chen
63
24
0
02 May 2021
Neko: a Library for Exploring Neuromorphic Learning Rules
Neko: a Library for Exploring Neuromorphic Learning Rules
Zixuan Zhao
Nathan Wycoff
N. Getty
Rick L. Stevens
Fangfang Xia
43
3
0
01 May 2021
PREDICT: Persian Reverse Dictionary
PREDICT: Persian Reverse Dictionary
Arman Malekzadeh
Amin Gheibi
Ali Mohades
92
7
0
01 May 2021
RATT: Leveraging Unlabeled Data to Guarantee Generalization
RATT: Leveraging Unlabeled Data to Guarantee Generalization
Saurabh Garg
Sivaraman Balakrishnan
J. Zico Kolter
Zachary Chase Lipton
92
30
0
01 May 2021
Data-driven discovery of Green's functions with human-understandable
  deep learning
Data-driven discovery of Green's functions with human-understandable deep learning
Nicolas Boullé
Christopher Earls
Alex Townsend
PINNAI4CE
60
60
0
01 May 2021
Stealthy Backdoors as Compression Artifacts
Stealthy Backdoors as Compression Artifacts
Yulong Tian
Fnu Suya
Fengyuan Xu
David Evans
94
22
0
30 Apr 2021
Cluster-driven Graph Federated Learning over Multiple Domains
Cluster-driven Graph Federated Learning over Multiple Domains
Debora Caldarola
Massimiliano Mancini
Fabio Galasso
Marco Ciccone
Emanuele Rodolà
Barbara Caputo
FedML
125
86
0
29 Apr 2021
EmergencyNet: Efficient Aerial Image Classification for Drone-Based
  Emergency Monitoring Using Atrous Convolutional Feature Fusion
EmergencyNet: Efficient Aerial Image Classification for Drone-Based Emergency Monitoring Using Atrous Convolutional Feature Fusion
C. Kyrkou
T. Theocharides
69
137
0
28 Apr 2021
SoCRATES: System-on-Chip Resource Adaptive Scheduling using Deep
  Reinforcement Learning
SoCRATES: System-on-Chip Resource Adaptive Scheduling using Deep Reinforcement Learning
Tegg Taekyong Sung
Bo Ryu
22
2
0
28 Apr 2021
PyTorch Tabular: A Framework for Deep Learning with Tabular Data
PyTorch Tabular: A Framework for Deep Learning with Tabular Data
Manu Joseph
LMTD
83
39
0
28 Apr 2021
Discovering nonlinear resonances through physics-informed machine
  learning
Discovering nonlinear resonances through physics-informed machine learning
G. D. Barmparis
G. P. Tsironis
9
3
0
27 Apr 2021
A Scalable and Reproducible System-on-Chip Simulation for Reinforcement
  Learning
A Scalable and Reproducible System-on-Chip Simulation for Reinforcement Learning
Tegg Taekyong Sung
Bo Ryu
21
2
0
27 Apr 2021
Graph Neural Networks for Traffic Forecasting
Graph Neural Networks for Traffic Forecasting
João Rico
J. Barateiro
Arlindo L. Oliveira
AI4TSAI4CE
45
13
0
27 Apr 2021
Generating Lead Sheets with Affect: A Novel Conditional seq2seq
  Framework
Generating Lead Sheets with Affect: A Novel Conditional seq2seq Framework
D. Makris
Kat R. Agres
Dorien Herremans
110
27
0
27 Apr 2021
If your data distribution shifts, use self-learning
If your data distribution shifts, use self-learning
E. Rusak
Steffen Schneider
George Pachitariu
L. Eck
Peter V. Gehler
Oliver Bringmann
Wieland Brendel
Matthias Bethge
VLMOODTTA
174
33
0
27 Apr 2021
TrustyAI Explainability Toolkit
TrustyAI Explainability Toolkit
Rob Geada
Tommaso Teofili
Rui Vieira
Rebecca Whitworth
Daniele Zonca
70
2
0
26 Apr 2021
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