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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
VERB: Visualizing and Interpreting Bias Mitigation Techniques for Word
  Representations
VERB: Visualizing and Interpreting Bias Mitigation Techniques for Word Representations
Archit Rathore
Sunipa Dev
J. M. Phillips
Vivek Srikumar
Yan Zheng
Chin-Chia Michael Yeh
Junpeng Wang
Wei Zhang
Bei Wang
80
11
0
06 Apr 2021
Extremely Low Footprint End-to-End ASR System for Smart Device
Extremely Low Footprint End-to-End ASR System for Smart Device
Zhifu Gao
Yiwu Yao
Shiliang Zhang
Jun Yang
Ming Lei
Ian Mcloughlin
43
13
0
06 Apr 2021
Content-Aware GAN Compression
Content-Aware GAN Compression
Yuchen Liu
Zhixin Shu
Yijun Li
Zhe Lin
Federico Perazzi
S. Kung
GAN
73
59
0
06 Apr 2021
Comparing Weak- and Unsupervised Methods for Resonant Anomaly Detection
Comparing Weak- and Unsupervised Methods for Resonant Anomaly Detection
J. Collins
P. Martín-Ramiro
Benjamin Nachman
David Shih
85
45
0
05 Apr 2021
Graph Neural Networks Based Detection of Stealth False Data Injection
  Attacks in Smart Grids
Graph Neural Networks Based Detection of Stealth False Data Injection Attacks in Smart Grids
Osman Boyaci
A. Umunnakwe
A. Sahu
M. Narimani
Muhammad Ismail
K. Davis
E. Serpedin
74
92
0
05 Apr 2021
Generalized Joint Probability Density Function Formulation inTurbulent
  Combustion using DeepONet
Generalized Joint Probability Density Function Formulation inTurbulent Combustion using DeepONet
Rishikesh Ranade
Kevin M. Gitushi
T. Echekki
75
12
0
05 Apr 2021
ECRM: Efficient Fault Tolerance for Recommendation Model Training via
  Erasure Coding
ECRM: Efficient Fault Tolerance for Recommendation Model Training via Erasure Coding
Kaige Liu
J. Kosaian
K. V. Rashmi
66
4
0
05 Apr 2021
Graph Generative Models for Fast Detector Simulations in High Energy
  Physics
Graph Generative Models for Fast Detector Simulations in High Energy Physics
A. Hariri
Darya Dyachkova
Sergei Gleyzer
AI4CE
63
6
0
05 Apr 2021
ExKaldi-RT: A Real-Time Automatic Speech Recognition Extension Toolkit
  of Kaldi
ExKaldi-RT: A Real-Time Automatic Speech Recognition Extension Toolkit of Kaldi
Yu Wang
Chee Siang Leow
A. Kobayashi
T. Utsuro
Hiromitsu Nishizaki
VLM
19
2
0
03 Apr 2021
End-to-end Deep Learning Pipeline for Microwave Kinetic Inductance
  Detector (MKID) Resonator Identification and Tuning
End-to-end Deep Learning Pipeline for Microwave Kinetic Inductance Detector (MKID) Resonator Identification and Tuning
Neelay Fruitwala
A. Walter
J. Bailey
Rupert Dodkins
B. Mazin
13
2
0
03 Apr 2021
Towards High Fidelity Face Relighting with Realistic Shadows
Towards High Fidelity Face Relighting with Realistic Shadows
Andrew Hou
Ze Zhang
M. Sarkis
N. Bi
Yiying Tong
Xiaoming Liu
CVBM3DH
85
51
0
02 Apr 2021
Using Python for Model Inference in Deep Learning
Using Python for Model Inference in Deep Learning
Zach DeVito
Jason Ansel
William Constable
Michael Suo
Ailing Zhang
K. Hazelwood
SyDaBDL
38
4
0
01 Apr 2021
Unpaired Single-Image Depth Synthesis with cycle-consistent Wasserstein GANs
Christoph Angermann
Adéla Moravová
Markus Haltmeier
Steinbjörn Jónsson
Christian Laubichler
GANMDE3DV
27
0
0
31 Mar 2021
Perun: Secure Multi-Stakeholder Machine Learning Framework with GPU
  Support
Perun: Secure Multi-Stakeholder Machine Learning Framework with GPU Support
W. Ożga
D. Quoc
Christof Fetzer
FedML
32
4
0
31 Mar 2021
Enhancing Segment-Based Speech Emotion Recognition by Deep Self-Learning
Enhancing Segment-Based Speech Emotion Recognition by Deep Self-Learning
Shuiyang Mao
P. Ching
Tan Lee
40
2
0
30 Mar 2021
Thermal Neural Networks: Lumped-Parameter Thermal Modeling With
  State-Space Machine Learning
Thermal Neural Networks: Lumped-Parameter Thermal Modeling With State-Space Machine Learning
Wilhelm Kirchgässner
Oliver Wallscheid
J. Böcker
27
41
0
30 Mar 2021
Symbolic Music Generation with Diffusion Models
Symbolic Music Generation with Diffusion Models
Gautam Mittal
Jesse Engel
Curtis Hawthorne
Ian Simon
MGenDiffM
113
194
0
30 Mar 2021
[Reproducibility Report] Rigging the Lottery: Making All Tickets Winners
[Reproducibility Report] Rigging the Lottery: Making All Tickets Winners
Varun Sundar
Rajat Vadiraj Dwaraknath
53
5
0
29 Mar 2021
MergeComp: A Compression Scheduler for Scalable Communication-Efficient
  Distributed Training
MergeComp: A Compression Scheduler for Scalable Communication-Efficient Distributed Training
Zhuang Wang
X. Wu
T. Ng
GNN
40
4
0
28 Mar 2021
Elvet -- a neural network-based differential equation and variational
  problem solver
Elvet -- a neural network-based differential equation and variational problem solver
Jack Y. Araz
J. C. Criado
M. Spannowsky
65
13
0
26 Mar 2021
Evaluation of deep learning models for multi-step ahead time series
  prediction
Evaluation of deep learning models for multi-step ahead time series prediction
Rohitash Chandra
Shaurya Goyal
Rishabh Gupta
AI4TS
53
158
0
26 Mar 2021
Multi-source Transfer Learning with Ensemble for Financial Time Series
  Forecasting
Multi-source Transfer Learning with Ensemble for Financial Time Series Forecasting
Qi-Qiao He
P. Pang
Yain-Whar Si
AI4TS
11
9
0
26 Mar 2021
FastMoE: A Fast Mixture-of-Expert Training System
FastMoE: A Fast Mixture-of-Expert Training System
Jiaao He
J. Qiu
Aohan Zeng
Zhilin Yang
Jidong Zhai
Jie Tang
ALMMoE
114
104
0
24 Mar 2021
UNICORN on RAINBOW: A Universal Commonsense Reasoning Model on a New
  Multitask Benchmark
UNICORN on RAINBOW: A Universal Commonsense Reasoning Model on a New Multitask Benchmark
Nicholas Lourie
Ronan Le Bras
Chandra Bhagavatula
Yejin Choi
LRM
108
140
0
24 Mar 2021
Efficient Deep Learning Pipelines for Accurate Cost Estimations Over
  Large Scale Query Workload
Efficient Deep Learning Pipelines for Accurate Cost Estimations Over Large Scale Query Workload
Johan Kok
Zhi Kang
S. Tan
Feng Cheng
Shixuan Sun
Bingsheng He
81
26
0
23 Mar 2021
Tangent Space Backpropagation for 3D Transformation Groups
Tangent Space Backpropagation for 3D Transformation Groups
Zachary Teed
Jia Deng
102
54
0
22 Mar 2021
A deep learning approach to data-driven model-free pricing and to
  martingale optimal transport
A deep learning approach to data-driven model-free pricing and to martingale optimal transport
Ariel Neufeld
J. Sester
81
11
0
21 Mar 2021
Self-supervised Representation Learning with Relative Predictive Coding
Self-supervised Representation Learning with Relative Predictive Coding
Yao-Hung Hubert Tsai
Martin Q. Ma
Muqiao Yang
Han Zhao
Louis-Philippe Morency
Ruslan Salakhutdinov
SSLAI4TS
101
38
0
21 Mar 2021
Artificial intelligence for detection and quantification of rust and
  leaf miner in coffee crop
Artificial intelligence for detection and quantification of rust and leaf miner in coffee crop
Alvaro Leandro Cavalcante Carneiro
Lucas de Brito Silva
Marisa Silveira Almeida Renaud Faulin
25
7
0
20 Mar 2021
HW-NAS-Bench:Hardware-Aware Neural Architecture Search Benchmark
HW-NAS-Bench:Hardware-Aware Neural Architecture Search Benchmark
Chaojian Li
Zhongzhi Yu
Yonggan Fu
Yongan Zhang
Yang Zhao
Haoran You
Qixuan Yu
Yue Wang
Yingyan Lin
153
111
0
19 Mar 2021
Neural Parts: Learning Expressive 3D Shape Abstractions with Invertible
  Neural Networks
Neural Parts: Learning Expressive 3D Shape Abstractions with Invertible Neural Networks
Despoina Paschalidou
Angelos Katharopoulos
Andreas Geiger
Sanja Fidler
3DPC3DV3DH
60
115
0
18 Mar 2021
Learning to Resize Images for Computer Vision Tasks
Learning to Resize Images for Computer Vision Tasks
Hossein Talebi
P. Milanfar
95
120
0
17 Mar 2021
Self-Supervised Learning of Audio Representations from Permutations with
  Differentiable Ranking
Self-Supervised Learning of Audio Representations from Permutations with Differentiable Ranking
Andrew N. Carr
Quentin Berthet
Mathieu Blondel
O. Teboul
Neil Zeghidour
SSL
80
25
0
17 Mar 2021
WheatNet: A Lightweight Convolutional Neural Network for High-throughput
  Image-based Wheat Head Detection and Counting
WheatNet: A Lightweight Convolutional Neural Network for High-throughput Image-based Wheat Head Detection and Counting
S. Khaki
N. Safaei
Hieu H. Pham
Lizhi Wang
67
93
0
17 Mar 2021
Distributed Deep Learning Using Volunteer Computing-Like Paradigm
Distributed Deep Learning Using Volunteer Computing-Like Paradigm
Medha Atre
B. Jha
Ashwini Rao
91
11
0
16 Mar 2021
Predicting Opioid Use Disorder from Longitudinal Healthcare Data using
  Multi-stream Transformer
Predicting Opioid Use Disorder from Longitudinal Healthcare Data using Multi-stream Transformer
S. Fouladvand
J. Talbert
L. Dwoskin
H. Bush
A. Meadows
Lars E. Peterson
Ramakanth Kavuluru
Jin Chen
86
4
0
16 Mar 2021
dNNsolve: an efficient NN-based PDE solver
dNNsolve: an efficient NN-based PDE solver
V. Guidetti
F. Muia
Y. Welling
A. Westphal
50
6
0
15 Mar 2021
Detecting Human-Object Interaction via Fabricated Compositional Learning
Detecting Human-Object Interaction via Fabricated Compositional Learning
Zhi Hou
B. Yu
Yu Qiao
Xiaojiang Peng
Dacheng Tao
133
99
0
15 Mar 2021
Deep Tiling: Texture Tile Synthesis Using a Deep Learning Approach
Deep Tiling: Texture Tile Synthesis Using a Deep Learning Approach
V. Toulatzis
I. Fudos
3DV
21
0
0
14 Mar 2021
Conceptual capacity and effective complexity of neural networks
Conceptual capacity and effective complexity of neural networks
Lech Szymanski
B. McCane
C. Atkinson
31
1
0
13 Mar 2021
TensorGP -- Genetic Programming Engine in TensorFlow
TensorGP -- Genetic Programming Engine in TensorFlow
Francisco Baeta
João Correia
Tiago Martins
Penousal Machado
48
17
0
12 Mar 2021
Semantic Segmentation for Real Point Cloud Scenes via Bilateral
  Augmentation and Adaptive Fusion
Semantic Segmentation for Real Point Cloud Scenes via Bilateral Augmentation and Adaptive Fusion
Shi Qiu
Saeed Anwar
Nick Barnes
3DPC
84
208
0
12 Mar 2021
The Old and the New: Can Physics-Informed Deep-Learning Replace
  Traditional Linear Solvers?
The Old and the New: Can Physics-Informed Deep-Learning Replace Traditional Linear Solvers?
Stefano Markidis
PINN
75
193
0
12 Mar 2021
Bump Hunting in Latent Space
Bump Hunting in Latent Space
Blaž Bortolato
B. Dillon
J. Kamenik
Aleks Smolkovič
DRL
84
44
0
11 Mar 2021
Functional Collection Programming with Semi-Ring Dictionaries
Functional Collection Programming with Semi-Ring Dictionaries
Amir Shaikhha
Mathieu Huot
Jaclyn Smith
Dan Olteanu
125
43
0
10 Mar 2021
Hurdles to Progress in Long-form Question Answering
Hurdles to Progress in Long-form Question Answering
Kalpesh Krishna
Aurko Roy
Mohit Iyyer
78
200
0
10 Mar 2021
Variable-rate discrete representation learning
Variable-rate discrete representation learning
Sander Dieleman
C. Nash
Jesse Engel
Karen Simonyan
BDLDRL
82
24
0
10 Mar 2021
Learning to Estimate Kernel Scale and Orientation of Defocus Blur with
  Asymmetric Coded Aperture
Learning to Estimate Kernel Scale and Orientation of Defocus Blur with Asymmetric Coded Aperture
Jisheng Li
Qi Dai
Jiangtao Wen
21
0
0
10 Mar 2021
Proof-of-Learning: Definitions and Practice
Proof-of-Learning: Definitions and Practice
Hengrui Jia
Mohammad Yaghini
Christopher A. Choquette-Choo
Natalie Dullerud
Anvith Thudi
Varun Chandrasekaran
Nicolas Papernot
AAML
91
106
0
09 Mar 2021
NaroNet: Discovery of tumor microenvironment elements from highly
  multiplexed images
NaroNet: Discovery of tumor microenvironment elements from highly multiplexed images
Daniel Jiménez Sánchez
M. Ariz
Hang Chang
X. Matías-Guiu
C. E. Andrea
Carlos Ortiz-de-Solórzano
56
0
0
09 Mar 2021
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