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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 / 4,253 papers shown
Title
Shampoo: Preconditioned Stochastic Tensor Optimization
Shampoo: Preconditioned Stochastic Tensor Optimization
Vineet Gupta
Tomer Koren
Y. Singer
ODL
115
226
0
26 Feb 2018
Asynchronous Stochastic Proximal Methods for Nonconvex Nonsmooth
  Optimization
Asynchronous Stochastic Proximal Methods for Nonconvex Nonsmooth Optimization
Rui Zhu
Di Niu
Zongpeng Li
53
4
0
24 Feb 2018
The AdobeIndoorNav Dataset: Towards Deep Reinforcement Learning based
  Real-world Indoor Robot Visual Navigation
The AdobeIndoorNav Dataset: Towards Deep Reinforcement Learning based Real-world Indoor Robot Visual Navigation
Kaichun Mo
Haoxiang Li
Zhe Lin
Joon-Young Lee
71
29
0
24 Feb 2018
Stochastic Gradient Descent on Highly-Parallel Architectures
Stochastic Gradient Descent on Highly-Parallel Architectures
Yujing Ma
Florin Rusu
Martin Torres
98
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
68
1,353
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
91
127
0
22 Feb 2018
Asynchronous Byzantine Machine Learning (the case of SGD)
Asynchronous Byzantine Machine Learning (the case of SGD)
Georgios Damaskinos
El-Mahdi El-Mhamdi
R. Guerraoui
Rhicheek Patra
Mahsa Taziki
FedML
79
42
0
22 Feb 2018
The Hidden Vulnerability of Distributed Learning in Byzantium
The Hidden Vulnerability of Distributed Learning in Byzantium
El-Mahdi El-Mhamdi
R. Guerraoui
Sébastien Rouault
AAMLFedML
79
769
0
22 Feb 2018
On the Convergence and Robustness of Training GANs with Regularized
  Optimal Transport
On the Convergence and Robustness of Training GANs with Regularized Optimal Transport
Maziar Sanjabi
Jimmy Ba
Meisam Razaviyayn
Jason D. Lee
GAN
105
139
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
83
398
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
134
70
0
21 Feb 2018
Satellite imagery analysis for operational damage assessment in
  Emergency situations
Satellite imagery analysis for operational damage assessment in Emergency situations
A. Trekin
G. Novikov
Georgy Potapov
V. Ignatiev
Evgeny Burnaev
53
38
0
19 Feb 2018
On the Optimization of Deep Networks: Implicit Acceleration by
  Overparameterization
On the Optimization of Deep Networks: Implicit Acceleration by Overparameterization
Sanjeev Arora
Nadav Cohen
Elad Hazan
132
488
0
19 Feb 2018
Efficient Sparse-Winograd Convolutional Neural Networks
Efficient Sparse-Winograd Convolutional Neural Networks
Xingyu Liu
Jeff Pool
Song Han
W. Dally
59
122
0
18 Feb 2018
Horovod: fast and easy distributed deep learning in TensorFlow
Horovod: fast and easy distributed deep learning in TensorFlow
Alexander Sergeev
Mike Del Balso
163
1,223
0
15 Feb 2018
Unsupervised Learning of Depth and Ego-Motion from Monocular Video Using
  3D Geometric Constraints
Unsupervised Learning of Depth and Ego-Motion from Monocular Video Using 3D Geometric Constraints
R. Mahjourian
Martin Wicke
A. Angelova
MDE
120
729
0
15 Feb 2018
Fooling OCR Systems with Adversarial Text Images
Fooling OCR Systems with Adversarial Text Images
Congzheng Song
Vitaly Shmatikov
AAML
65
51
0
15 Feb 2018
NeVAE: A Deep Generative Model for Molecular Graphs
NeVAE: A Deep Generative Model for Molecular Graphs
Bidisha Samanta
A. De
G. Jana
P. Chattaraj
Niloy Ganguly
Manuel Gomez Rodriguez
GNNDRLBDLDiffM
101
218
0
14 Feb 2018
DiCE: The Infinitely Differentiable Monte-Carlo Estimator
DiCE: The Infinitely Differentiable Monte-Carlo Estimator
Jakob N. Foerster
Gregory Farquhar
Maruan Al-Shedivat
Tim Rocktaschel
Eric Xing
Shimon Whiteson
120
97
0
14 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
67
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
101
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
70
143
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
126
438
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
78
391
0
13 Feb 2018
Turning Your Weakness Into a Strength: Watermarking Deep Neural Networks
  by Backdooring
Turning Your Weakness Into a Strength: Watermarking Deep Neural Networks by Backdooring
Yossi Adi
Carsten Baum
Moustapha Cissé
Benny Pinkas
Joseph Keshet
107
686
0
13 Feb 2018
TVM: An Automated End-to-End Optimizing Compiler for Deep Learning
TVM: An Automated End-to-End Optimizing Compiler for Deep Learning
Tianqi Chen
T. Moreau
Ziheng Jiang
Lianmin Zheng
Eddie Q. Yan
...
Leyuan Wang
Yuwei Hu
Luis Ceze
Carlos Guestrin
Arvind Krishnamurthy
229
374
0
12 Feb 2018
Deep learning based supervised semantic segmentation of Electron
  Cryo-Subtomograms
Deep learning based supervised semantic segmentation of Electron Cryo-Subtomograms
Chang Liu
Xiangrui Zeng
Ruogu Lin
Xiaodan Liang
Z. Freyberg
Eric Xing
Min Xu
30
15
0
12 Feb 2018
Online Learning for Effort Reduction in Interactive Neural Machine
  Translation
Online Learning for Effort Reduction in Interactive Neural Machine Translation
Álvaro Peris
F. Casacuberta
72
49
0
10 Feb 2018
Same-different problems strain convolutional neural networks
Same-different problems strain convolutional neural networks
Matthew Ricci
Junkyung Kim
Thomas Serre
OOD
86
17
0
09 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
121
696
0
06 Feb 2018
Personalized Machine Learning for Robot Perception of Affect and Engagement in Autism Therapy
Ognjen Rudovic
Jaeryoung Lee
Miles Dai
Bjorn Schuller
Rosalind W. Picard
96
272
0
04 Feb 2018
GeniePath: Graph Neural Networks with Adaptive Receptive Paths
GeniePath: Graph Neural Networks with Adaptive Receptive Paths
Ziqi Liu
Chaochao Chen
Longfei Li
Jun Zhou
Xiaolong Li
Le Song
Yuan Qi
GNN
114
314
0
03 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
157
38
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
129
17
0
01 Feb 2018
Inference, Learning and Attention Mechanisms that Exploit and Preserve
  Sparsity in Convolutional Networks
Inference, Learning and Attention Mechanisms that Exploit and Preserve Sparsity in Convolutional Networks
Timo Hackel
Mikhail (Misha) Usvyatsov
S. Galliani
Jan Dirk Wegner
Konrad Schindler
87
14
0
31 Jan 2018
Deep Reinforcement Learning for Programming Language Correction
Deep Reinforcement Learning for Programming Language Correction
Rahul Gupta
Aditya Kanade
S. Shevade
HAI
96
34
0
31 Jan 2018
Counting Cells in Time-Lapse Microscopy using Deep Neural Networks
Counting Cells in Time-Lapse Microscopy using Deep Neural Networks
Alex Gomez-Villa
Augusto Salazar
Igor Stefanini
31
5
0
31 Jan 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
42
36
0
31 Jan 2018
DeepDTA: Deep Drug-Target Binding Affinity Prediction
DeepDTA: Deep Drug-Target Binding Affinity Prediction
Hakime Öztürk
E. Olmez
Arzucan Özgür
128
1,086
0
30 Jan 2018
Learning to Classify from Impure Samples with High-Dimensional Data
Learning to Classify from Impure Samples with High-Dimensional Data
Patrick T. Komiske
E. Metodiev
Benjamin Nachman
M. Schwartz
80
76
0
30 Jan 2018
Open3D: A Modern Library for 3D Data Processing
Open3D: A Modern Library for 3D Data Processing
Qian-Yi Zhou
Jaesik Park
V. Koltun
PINNAI4CE
130
1,634
0
30 Jan 2018
Evaluating approaches for supervised semantic labeling
Evaluating approaches for supervised semantic labeling
Nataliia Rümmele
Y. Tyshetskiy
Alex Collins
27
26
0
29 Jan 2018
Learning Combinations of Activation Functions
Learning Combinations of Activation Functions
Franco Manessi
A. Rozza
AI4CE
49
55
0
29 Jan 2018
Generative Adversarial Networks using Adaptive Convolution
Generative Adversarial Networks using Adaptive Convolution
Nhat M. Nguyen
Nilanjan Ray
GAN
24
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
91
146
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
121
114
0
21 Jan 2018
Multi-Task Pharmacovigilance Mining from Social Media Posts
Multi-Task Pharmacovigilance Mining from Social Media Posts
Shaika Chowdhury
Chenwei Zhang
Philip S. Yu
75
32
0
19 Jan 2018
Understanding the Disharmony between Dropout and Batch Normalization by
  Variance Shift
Understanding the Disharmony between Dropout and Batch Normalization by Variance Shift
Xiang Li
Shuo Chen
Xiaolin Hu
Jian Yang
82
309
0
16 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
FedMLOOD
111
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
95
1,469
0
13 Jan 2018
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