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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
Z. 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 / 3,117 papers shown
Title
DeepSigns: A Generic Watermarking Framework for IP Protection of Deep
  Learning Models
DeepSigns: A Generic Watermarking Framework for IP Protection of Deep Learning Models
B. Rouhani
Huili Chen
F. Koushanfar
29
48
0
02 Apr 2018
Diagonalwise Refactorization: An Efficient Training Method for Depthwise
  Convolutions
Diagonalwise Refactorization: An Efficient Training Method for Depthwise Convolutions
Zheng Qin
Zhaoning Zhang
Dongsheng Li
Yiming Zhang
Yuxing Peng
25
28
0
27 Mar 2018
Transferable Joint Attribute-Identity Deep Learning for Unsupervised
  Person Re-Identification
Transferable Joint Attribute-Identity Deep Learning for Unsupervised Person Re-Identification
Jingya Wang
Xiatian Zhu
S. Gong
Wei Li
36
569
0
26 Mar 2018
Learning to Reweight Examples for Robust Deep Learning
Learning to Reweight Examples for Robust Deep Learning
Mengye Ren
Wenyuan Zeng
Binh Yang
R. Urtasun
OOD
NoLa
57
1,410
0
24 Mar 2018
A Deep Error Correction Network for Compressed Sensing MRI
A Deep Error Correction Network for Compressed Sensing MRI
Liyan Sun
Zhiwen Fan
Yue Huang
Xinghao Ding
John Paisley
MedIm
31
12
0
23 Mar 2018
Guided Image Inpainting: Replacing an Image Region by Pulling Content
  from Another Image
Guided Image Inpainting: Replacing an Image Region by Pulling Content from Another Image
Yinan Zhao
Brian L. Price
Scott D. Cohen
Danna Gurari
GAN
19
40
0
22 Mar 2018
Extended depth-of-field in holographic image reconstruction using deep
  learning based auto-focusing and phase-recovery
Extended depth-of-field in holographic image reconstruction using deep learning based auto-focusing and phase-recovery
Yichen Wu
Y. Rivenson
Yibo Zhang
Zhensong Wei
H. Gunaydin
Xing Lin
Aydogan Ozcan
14
171
0
21 Mar 2018
Eigendecomposition-free Training of Deep Networks with Zero
  Eigenvalue-based Losses
Eigendecomposition-free Training of Deep Networks with Zero Eigenvalue-based Losses
Zheng Dang
K. M. Yi
Yinlin Hu
Fei Wang
Pascal Fua
Mathieu Salzmann
29
48
0
21 Mar 2018
The Three Pillars of Machine Programming
The Three Pillars of Machine Programming
Justin Emile Gottschlich
Armando Solar-Lezama
Nesime Tatbul
Michael Carbin
Martin Rinard
Regina Barzilay
Saman P. Amarasinghe
J. Tenenbaum
Tim Mattson
11
62
0
20 Mar 2018
D$^2$: Decentralized Training over Decentralized Data
D2^22: Decentralized Training over Decentralized Data
Hanlin Tang
Xiangru Lian
Ming Yan
Ce Zhang
Ji Liu
20
348
0
19 Mar 2018
Tensor2Tensor for Neural Machine Translation
Tensor2Tensor for Neural Machine Translation
Ashish Vaswani
Samy Bengio
E. Brevdo
François Chollet
Aidan Gomez
...
Nal Kalchbrenner
Niki Parmar
Ryan Sepassi
Noam M. Shazeer
Jakob Uszkoreit
40
527
0
16 Mar 2018
Serverless Data Analytics with Flint
Serverless Data Analytics with Flint
Youngbin Kim
Jimmy J. Lin
19
77
0
16 Mar 2018
TBD: Benchmarking and Analyzing Deep Neural Network Training
TBD: Benchmarking and Analyzing Deep Neural Network Training
Hongyu Zhu
Mohamed Akrout
Bojian Zheng
Andrew Pelegris
Amar Phanishayee
Bianca Schroeder
Gennady Pekhimenko
25
80
0
16 Mar 2018
Large Margin Deep Networks for Classification
Large Margin Deep Networks for Classification
Gamaleldin F. Elsayed
Dilip Krishnan
H. Mobahi
Kevin Regan
Samy Bengio
MQ
22
281
0
15 Mar 2018
Real-time Cardiovascular MR with Spatio-temporal Artifact Suppression
  using Deep Learning - Proof of Concept in Congenital Heart Disease
Real-time Cardiovascular MR with Spatio-temporal Artifact Suppression using Deep Learning - Proof of Concept in Congenital Heart Disease
A. Hauptmann
Simon Arridge
F. Lucka
V. Muthurangu
J. Steeden
25
180
0
14 Mar 2018
Deep Learning in Mobile and Wireless Networking: A Survey
Deep Learning in Mobile and Wireless Networking: A Survey
Chaoyun Zhang
P. Patras
Hamed Haddadi
45
1,304
0
12 Mar 2018
Solving Fourier ptychographic imaging problems via neural network
  modeling and TensorFlow
Solving Fourier ptychographic imaging problems via neural network modeling and TensorFlow
Shaowei Jiang
K. Guo
Jun Liao
G. Zheng
16
95
0
09 Mar 2018
AdaDepth: Unsupervised Content Congruent Adaptation for Depth Estimation
AdaDepth: Unsupervised Content Congruent Adaptation for Depth Estimation
Jogendra Nath Kundu
P. Uppala
Anuj Pahuja
R. Venkatesh Babu
MDE
20
185
0
05 Mar 2018
Generalized Byzantine-tolerant SGD
Generalized Byzantine-tolerant SGD
Cong Xie
Oluwasanmi Koyejo
Indranil Gupta
AAML
19
254
0
27 Feb 2018
Asynchronous Stochastic Proximal Methods for Nonconvex Nonsmooth
  Optimization
Asynchronous Stochastic Proximal Methods for Nonconvex Nonsmooth Optimization
Rui Zhu
Di Niu
Zongpeng Li
16
4
0
24 Feb 2018
Stochastic Gradient Descent on Highly-Parallel Architectures
Stochastic Gradient Descent on Highly-Parallel Architectures
Yujing Ma
Florin Rusu
Martin Torres
24
6
0
24 Feb 2018
Harmonious Attention Network for Person Re-Identification
Harmonious Attention Network for Person Re-Identification
Wei Li
Xiatian Zhu
S. Gong
21
1,341
0
22 Feb 2018
SparCML: High-Performance Sparse Communication for Machine Learning
SparCML: High-Performance Sparse Communication for Machine Learning
Cédric Renggli
Saleh Ashkboos
Mehdi Aghagolzadeh
Dan Alistarh
Torsten Hoefler
29
126
0
22 Feb 2018
Federated Meta-Learning with Fast Convergence and Efficient
  Communication
Federated Meta-Learning with Fast Convergence and Efficient Communication
Fei Chen
Mi Luo
Zhenhua Dong
Zhenguo Li
Xiuqiang He
FedML
34
388
0
22 Feb 2018
3LC: Lightweight and Effective Traffic Compression for Distributed
  Machine Learning
3LC: Lightweight and Effective Traffic Compression for Distributed Machine Learning
Hyeontaek Lim
D. Andersen
M. Kaminsky
13
70
0
21 Feb 2018
MemeSequencer: Sparse Matching for Embedding Image Macros
MemeSequencer: Sparse Matching for Embedding Image Macros
Abhimanyu Dubey
Esteban Moro Egido
Manuel Cebrian
Iyad Rahwan
29
35
0
14 Feb 2018
Exploring Hidden Dimensions in Parallelizing Convolutional Neural
  Networks
Exploring Hidden Dimensions in Parallelizing Convolutional Neural Networks
Zhihao Jia
Sina Lin
C. Qi
A. Aiken
37
117
0
14 Feb 2018
SLAQ: Quality-Driven Scheduling for Distributed Machine Learning
SLAQ: Quality-Driven Scheduling for Distributed Machine Learning
Haoyu Zhang
Logan Stafman
Andrew Or
M. Freedman
30
140
0
13 Feb 2018
Tensor Comprehensions: Framework-Agnostic High-Performance Machine
  Learning Abstractions
Tensor Comprehensions: Framework-Agnostic High-Performance Machine Learning Abstractions
Nicolas Vasilache
O. Zinenko
Theodoros Theodoridis
Priya Goyal
Zach DeVito
William S. Moses
Sven Verdoolaege
Andrew Adams
Albert Cohen
40
432
0
13 Feb 2018
Training and Inference with Integers in Deep Neural Networks
Training and Inference with Integers in Deep Neural Networks
Shuang Wu
Guoqi Li
F. Chen
Luping Shi
MQ
35
389
0
13 Feb 2018
Texygen: A Benchmarking Platform for Text Generation Models
Texygen: A Benchmarking Platform for Text Generation Models
Yaoming Zhu
Sidi Lu
Lei Zheng
Jiaxian Guo
Weinan Zhang
Jun Wang
Yong Yu
41
665
0
06 Feb 2018
Interpretable Deep Convolutional Neural Networks via Meta-learning
Interpretable Deep Convolutional Neural Networks via Meta-learning
Xuan Liu
Xiaoguang Wang
Stan Matwin
FaML
27
5
0
02 Feb 2018
Full Image Recover for Block-Based Compressive Sensing
Full Image Recover for Block-Based Compressive Sensing
Xuemei Xie
Chenye Wang
Jiang Du
Guangming Shi
33
16
0
01 Feb 2018
A CNN-based Spatial Feature Fusion Algorithm for Hyperspectral Imagery
  Classification
A CNN-based Spatial Feature Fusion Algorithm for Hyperspectral Imagery Classification
Alan J. X. Guo
Fei Zhu
14
36
0
31 Jan 2018
Learning Combinations of Activation Functions
Learning Combinations of Activation Functions
Franco Manessi
A. Rozza
AI4CE
26
54
0
29 Jan 2018
Generative Adversarial Networks using Adaptive Convolution
Generative Adversarial Networks using Adaptive Convolution
Nhat M. Nguyen
Nilanjan Ray
GAN
15
1
0
25 Jan 2018
Phonocardiographic Sensing using Deep Learning for Abnormal Heartbeat
  Detection
Phonocardiographic Sensing using Deep Learning for Abnormal Heartbeat Detection
S. Latif
Muhammad Usman
R. Rana
Junaid Qadir
27
143
0
25 Jan 2018
Multi-pseudo Regularized Label for Generated Data in Person
  Re-Identification
Multi-pseudo Regularized Label for Generated Data in Person Re-Identification
Y. Huang
Jingsong Xu
Qiang Wu
Zhedong Zheng
Zhaoxiang Zhang
Jian Zhang
GAN
18
112
0
21 Jan 2018
Deep Metric Learning with BIER: Boosting Independent Embeddings Robustly
Deep Metric Learning with BIER: Boosting Independent Embeddings Robustly
M. Opitz
Georg Waltner
Horst Possegger
Horst Bischof
FedML
OOD
32
166
0
15 Jan 2018
Which Training Methods for GANs do actually Converge?
Which Training Methods for GANs do actually Converge?
L. Mescheder
Andreas Geiger
Sebastian Nowozin
30
1,452
0
13 Jan 2018
SuperNeurons: Dynamic GPU Memory Management for Training Deep Neural
  Networks
SuperNeurons: Dynamic GPU Memory Management for Training Deep Neural Networks
Linnan Wang
Jinmian Ye
Yiyang Zhao
Wei Wu
Ang Li
Shuaiwen Leon Song
Zenglin Xu
Tim Kraska
3DH
46
264
0
13 Jan 2018
Can Who-Edits-What Predict Edit Survival?
Can Who-Edits-What Predict Edit Survival?
Ali Batuhan Yardim
Victor Kristof
Lucas Maystre
Matthias Grossglauser
KELM
11
5
0
12 Jan 2018
Large-Scale 3D Scene Classification With Multi-View Volumetric CNN
Large-Scale 3D Scene Classification With Multi-View Volumetric CNN
Dror Aiger
Brett Allen
Aleksey Golovinskiy
3DV
21
5
0
26 Dec 2017
Targeted Backdoor Attacks on Deep Learning Systems Using Data Poisoning
Targeted Backdoor Attacks on Deep Learning Systems Using Data Poisoning
Xinyun Chen
Chang-rui Liu
Bo-wen Li
Kimberly Lu
D. Song
AAML
SILM
39
1,802
0
15 Dec 2017
DeePMD-kit: A deep learning package for many-body potential energy
  representation and molecular dynamics
DeePMD-kit: A deep learning package for many-body potential energy representation and molecular dynamics
Han Wang
Linfeng Zhang
Jiequn Han
E. Weinan
AI4CE
22
1,194
0
11 Dec 2017
Reinforced dynamics for enhanced sampling in large atomic and molecular
  systems
Reinforced dynamics for enhanced sampling in large atomic and molecular systems
Linfeng Zhang
Han Wang
E. Weinan
AI4CE
14
72
0
10 Dec 2017
Using Rule-Based Labels for Weak Supervised Learning: A ChemNet for
  Transferable Chemical Property Prediction
Using Rule-Based Labels for Weak Supervised Learning: A ChemNet for Transferable Chemical Property Prediction
Garrett B. Goh
Charles Siegel
Abhinav Vishnu
Nathan Oken Hodas
21
90
0
07 Dec 2017
A Secure Mobile Authentication Alternative to Biometrics
A Secure Mobile Authentication Alternative to Biometrics
Mozhgan Azimpourkivi
Umut Topkara
Bogdan Carbunar
13
13
0
07 Dec 2017
Automated Pruning for Deep Neural Network Compression
Automated Pruning for Deep Neural Network Compression
Franco Manessi
A. Rozza
Simone Bianco
Paolo Napoletano
Raimondo Schettini
36
56
0
05 Dec 2017
PSIque: Next Sequence Prediction of Satellite Images using a
  Convolutional Sequence-to-Sequence Network
PSIque: Next Sequence Prediction of Satellite Images using a Convolutional Sequence-to-Sequence Network
Seungkyun Hong
Seongchan Kim
M. Joh
Sa-kwang Song
38
24
0
29 Nov 2017
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