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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 / 4,259 papers shown
Title
Counting Out Time: Class Agnostic Video Repetition Counting in the Wild
Counting Out Time: Class Agnostic Video Repetition Counting in the Wild
Debidatta Dwibedi
Y. Aytar
Jonathan Tompson
P. Sermanet
Andrew Zisserman
AI4TS
80
114
0
27 Jun 2020
AutoRec: An Automated Recommender System
AutoRec: An Automated Recommender System
Ting-Hsiang Wang
Qingquan Song
Xiaotian Han
Zirui Liu
Haifeng Jin
Helen Zhou
77
21
0
26 Jun 2020
An Interactive Data Visualization and Analytics Tool to Evaluate
  Mobility and Sociability Trends During COVID-19
An Interactive Data Visualization and Analytics Tool to Evaluate Mobility and Sociability Trends During COVID-19
Fan Zuo
Jingxing Wang
Jingqin Gao
K. Ozbay
X. Ban
Yubin Shen
Hong Yang
S. Iyer
46
51
0
26 Jun 2020
An Automatic Reader of Identity Documents
An Automatic Reader of Identity Documents
F. Attivissimo
N. Giaquinto
M. Scarpetta
M. Spadavecchia
28
25
0
26 Jun 2020
Pushing the Limit of Unsupervised Learning for Ultrasound Image Artifact
  Removal
Pushing the Limit of Unsupervised Learning for Ultrasound Image Artifact Removal
Shujaat Khan
Jaeyoung Huh
J. C. Ye
58
2
0
26 Jun 2020
Training Variational Networks with Multi-Domain Simulations:
  Speed-of-Sound Image Reconstruction
Training Variational Networks with Multi-Domain Simulations: Speed-of-Sound Image Reconstruction
Mélanie Bernhardt
V. Vishnevskiy
R. Rau
O. Goksel
OOD
56
23
0
25 Jun 2020
Minimal Variance Sampling with Provable Guarantees for Fast Training of
  Graph Neural Networks
Minimal Variance Sampling with Provable Guarantees for Fast Training of Graph Neural Networks
Weilin Cong
R. Forsati
M. Kandemir
M. Mahdavi
101
88
0
24 Jun 2020
Investor Emotions and Earnings Announcements
Investor Emotions and Earnings Announcements
Domonkos F. Vamossy
AIFin
60
26
0
24 Jun 2020
Crop Yield Prediction Integrating Genotype and Weather Variables Using
  Deep Learning
Crop Yield Prediction Integrating Genotype and Weather Variables Using Deep Learning
Johnathon Shook
Tryambak Gangopadhyay
Linjian Wu
Baskar Ganapathysubramanian
Soumik Sarkar
Asheesh K. Singh
67
138
0
24 Jun 2020
X-ModalNet: A Semi-Supervised Deep Cross-Modal Network for
  Classification of Remote Sensing Data
X-ModalNet: A Semi-Supervised Deep Cross-Modal Network for Classification of Remote Sensing Data
Danfeng Hong
Naoto Yokoya
Gui-Song Xia
J. Chanussot
X. Zhu
41
55
0
24 Jun 2020
Face-to-Music Translation Using a Distance-Preserving Generative
  Adversarial Network with an Auxiliary Discriminator
Face-to-Music Translation Using a Distance-Preserving Generative Adversarial Network with an Auxiliary Discriminator
Chelhwon Kim
Andrew Allan Port
Mitesh Patel
CVBM
34
1
0
24 Jun 2020
When Do Neural Networks Outperform Kernel Methods?
When Do Neural Networks Outperform Kernel Methods?
Behrooz Ghorbani
Song Mei
Theodor Misiakiewicz
Andrea Montanari
137
189
0
24 Jun 2020
A Benchmarking Framework for Interactive 3D Applications in the Cloud
A Benchmarking Framework for Interactive 3D Applications in the Cloud
Tianyi Liu
Sen He
Sunzhou Huang
Danny H. K. Tsang
Lingjia Tang
Jason Mars
Wei Wang
8
11
0
23 Jun 2020
Simple and Effective VAE Training with Calibrated Decoders
Simple and Effective VAE Training with Calibrated Decoders
Oleh Rybkin
Kostas Daniilidis
Sergey Levine
105
95
0
23 Jun 2020
Hermes Attack: Steal DNN Models with Lossless Inference Accuracy
Hermes Attack: Steal DNN Models with Lossless Inference Accuracy
Yuankun Zhu
Yueqiang Cheng
Husheng Zhou
Yantao Lu
MIACVAAML
111
103
0
23 Jun 2020
Deep Learning of Unified Region, Edge, and Contour Models for Automated
  Image Segmentation
Deep Learning of Unified Region, Edge, and Contour Models for Automated Image Segmentation
Ali Hatamizadeh
SSeg
59
3
0
23 Jun 2020
RP2K: A Large-Scale Retail Product Dataset for Fine-Grained Image
  Classification
RP2K: A Large-Scale Retail Product Dataset for Fine-Grained Image Classification
Jingtian Peng
Chang Xiao
Yifan Li
95
45
0
22 Jun 2020
Convolutional-network models to predict wall-bounded turbulence from
  wall quantities
Convolutional-network models to predict wall-bounded turbulence from wall quantities
L. Guastoni
A. Güemes
A. Ianiro
S. Discetti
P. Schlatter
Hossein Azizpour
R. Vinuesa
60
169
0
22 Jun 2020
Facial Expression Editing with Continuous Emotion Labels
Facial Expression Editing with Continuous Emotion Labels
Alexandra Lindt
Pablo V. A. Barros
Henrique Siqueira
S. Wermter
CVBM
75
29
0
22 Jun 2020
Graph Neural Networks in TensorFlow and Keras with Spektral
Graph Neural Networks in TensorFlow and Keras with Spektral
Daniele Grattarola
Cesare Alippi
GNN
179
156
0
22 Jun 2020
Deep Residual Mixture Models
Deep Residual Mixture Models
Perttu Hämäläinen
Martin Trapp
Tuure Saloheimo
Arno Solin
77
8
0
22 Jun 2020
Learning compact generalizable neural representations supporting
  perceptual grouping
Learning compact generalizable neural representations supporting perceptual grouping
Vijay Veerabadran
V. D. Sa
58
2
0
21 Jun 2020
Estimating Model Uncertainty of Neural Networks in Sparse Information
  Form
Estimating Model Uncertainty of Neural Networks in Sparse Information Form
Jongseo Lee
Matthias Humt
Jianxiang Feng
Rudolph Triebel
BDLUQCV
103
47
0
20 Jun 2020
Unsupervised Vehicle Re-identification with Progressive Adaptation
Unsupervised Vehicle Re-identification with Progressive Adaptation
Jinjia Peng
Yang Wang
Huibing Wang
Zhao Zhang
Xianping Fu
Meng Wang
VLM
58
48
0
20 Jun 2020
Discovering Symbolic Models from Deep Learning with Inductive Biases
Discovering Symbolic Models from Deep Learning with Inductive Biases
M. Cranmer
Alvaro Sanchez-Gonzalez
Peter W. Battaglia
Rui Xu
Kyle Cranmer
D. Spergel
S. Ho
AI4CE
96
483
0
19 Jun 2020
Optimization and Generalization of Regularization-Based Continual
  Learning: a Loss Approximation Viewpoint
Optimization and Generalization of Regularization-Based Continual Learning: a Loss Approximation Viewpoint
Dong Yin
Mehrdad Farajtabar
Ang Li
Nir Levine
Alex Mott
CLL
86
21
0
19 Jun 2020
Accelerating Training in Artificial Neural Networks with Dynamic Mode
  Decomposition
Accelerating Training in Artificial Neural Networks with Dynamic Mode Decomposition
M. Tano
G. Portwood
J. Ragusa
AI4CE
55
12
0
18 Jun 2020
Model-Aware Regularization For Learning Approaches To Inverse Problems
Model-Aware Regularization For Learning Approaches To Inverse Problems
Jaweria Amjad
Zhaoyang Lyu
M. Rodrigues
MedIm
18
0
0
18 Jun 2020
Array Programming with NumPy
Array Programming with NumPy
Charles R. Harris
K. Millman
S. Walt
R. Gommers
Pauli Virtanen
...
Tyler Reddy
Warren Weckesser
Hameer Abbasi
C. Gohlke
T. Oliphant
249
15,209
0
18 Jun 2020
On the Role of Sparsity and DAG Constraints for Learning Linear DAGs
On the Role of Sparsity and DAG Constraints for Learning Linear DAGs
Ignavier Ng
AmirEmad Ghassami
Kun Zhang
CML
105
189
0
17 Jun 2020
Variational State-Space Models for Localisation and Dense 3D Mapping in
  6 DoF
Variational State-Space Models for Localisation and Dense 3D Mapping in 6 DoF
Atanas Mirchev
Baris Kayalibay
Patrick van der Smagt
Justin Bayer
BDLDRL
85
9
0
17 Jun 2020
On the Learnability of Concepts: With Applications to Comparing Word
  Embedding Algorithms
On the Learnability of Concepts: With Applications to Comparing Word Embedding Algorithms
Adam Sutton
N. Cristianini
57
8
0
17 Jun 2020
Network Diffusions via Neural Mean-Field Dynamics
Network Diffusions via Neural Mean-Field Dynamics
Shushan He
H. Zha
X. Ye
DiffM
61
6
0
16 Jun 2020
Sample-Efficient Optimization in the Latent Space of Deep Generative
  Models via Weighted Retraining
Sample-Efficient Optimization in the Latent Space of Deep Generative Models via Weighted Retraining
Austin Tripp
Erik A. Daxberger
José Miguel Hernández-Lobato
MedIm
110
143
0
16 Jun 2020
End-to-End Real-time Catheter Segmentation with Optical Flow-Guided
  Warping during Endovascular Intervention
End-to-End Real-time Catheter Segmentation with Optical Flow-Guided Warping during Endovascular Intervention
A. Nguyen
Dennis Kundrat
G. Dagnino
Wenqiang Chi
Mohamed E. M. K. Abdelaziz
Yao Guo
Yingliang Ma
Trevor M. Y. Kwok
C. Riga
Guang-Zhong Yang
77
31
0
16 Jun 2020
Quantization of Acoustic Model Parameters in Automatic Speech
  Recognition Framework
Quantization of Acoustic Model Parameters in Automatic Speech Recognition Framework
Amrutha Prasad
P. Motlícek
S. Madikeri
MQ
60
10
0
16 Jun 2020
Plug-and-Play Anomaly Detection with Expectation Maximization Filtering
Plug-and-Play Anomaly Detection with Expectation Maximization Filtering
Muhammad Umar Karim Khan
Mishal Fatima
C. Kyung
28
0
0
16 Jun 2020
Index Selection for NoSQL Database with Deep Reinforcement Learning
Index Selection for NoSQL Database with Deep Reinforcement Learning
Shun Yao
Hongzhi Wang
Yu Yan
18
18
0
16 Jun 2020
Multiscale Deep Equilibrium Models
Multiscale Deep Equilibrium Models
Shaojie Bai
V. Koltun
J. Zico Kolter
BDL
96
212
0
15 Jun 2020
Optimal Complexity in Decentralized Training
Optimal Complexity in Decentralized Training
Yucheng Lu
Christopher De Sa
129
75
0
15 Jun 2020
High-contrast "gaudy" images improve the training of deep neural network
  models of visual cortex
High-contrast "gaudy" images improve the training of deep neural network models of visual cortex
Benjamin R. Cowley
Jonathan W. Pillow
41
10
0
13 Jun 2020
Knowledge Embedding Based Graph Convolutional Network
Knowledge Embedding Based Graph Convolutional Network
Donghan Yu
Yiming Yang
Ruohong Zhang
Yuexin Wu
GNN
112
12
0
12 Jun 2020
FLeet: Online Federated Learning via Staleness Awareness and Performance
  Prediction
FLeet: Online Federated Learning via Staleness Awareness and Performance Prediction
Georgios Damaskinos
R. Guerraoui
Anne-Marie Kermarrec
Vlad Nitu
Rhicheek Patra
Francois Taiani
99
55
0
12 Jun 2020
Characterizing Impacts of Heterogeneity in Federated Learning upon
  Large-Scale Smartphone Data
Characterizing Impacts of Heterogeneity in Federated Learning upon Large-Scale Smartphone Data
Chengxu Yang
Qipeng Wang
Mengwei Xu
Shangguang Wang
Kaigui Bian
Yunxin Liu
Xuanzhe Liu
106
23
0
12 Jun 2020
On Correctness of Automatic Differentiation for Non-Differentiable
  Functions
On Correctness of Automatic Differentiation for Non-Differentiable Functions
Wonyeol Lee
Hangyeol Yu
Xavier Rival
Hongseok Yang
86
41
0
12 Jun 2020
Ansor: Generating High-Performance Tensor Programs for Deep Learning
Ansor: Generating High-Performance Tensor Programs for Deep Learning
Lianmin Zheng
Chengfan Jia
Minmin Sun
Zhao Wu
Cody Hao Yu
...
Jun Yang
Danyang Zhuo
Koushik Sen
Joseph E. Gonzalez
Ion Stoica
151
402
0
11 Jun 2020
GNNAdvisor: An Adaptive and Efficient Runtime System for GNN
  Acceleration on GPUs
GNNAdvisor: An Adaptive and Efficient Runtime System for GNN Acceleration on GPUs
Yuke Wang
Boyuan Feng
Gushu Li
Shuangchen Li
Lei Deng
Yuan Xie
Yufei Ding
GNN
134
125
0
11 Jun 2020
DNF-Net: A Neural Architecture for Tabular Data
DNF-Net: A Neural Architecture for Tabular Data
A. Abutbul
G. Elidan
L. Katzir
Ran El-Yaniv
LMTDAI4CE
55
29
0
11 Jun 2020
TensorFlow with user friendly Graphical Framework for object detection
  API
TensorFlow with user friendly Graphical Framework for object detection API
Heemoon Yoon
Sang-Hee Lee
Mira Park
58
10
0
11 Jun 2020
Unifying Regularisation Methods for Continual Learning
Unifying Regularisation Methods for Continual Learning
Frederik Benzing
CLL
77
8
0
11 Jun 2020
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