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TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed
  Systems

TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems

14 March 2016
Martín Abadi
Ashish Agarwal
P. Barham
E. Brevdo
Zhiwen Chen
C. Citro
G. Corrado
Andy Davis
J. Dean
M. Devin
Sanjay Ghemawat
Ian Goodfellow
A. Harp
G. Irving
Michael Isard
Yangqing Jia
Rafal Jozefowicz
Lukasz Kaiser
M. Kudlur
J. Levenberg
Dandelion Mané
R. Monga
Sherry Moore
D. Murray
C. Olah
M. Schuster
Jonathon Shlens
Benoit Steiner
Ilya Sutskever
Kunal Talwar
P. Tucker
Vincent Vanhoucke
Vijay Vasudevan
F. Viégas
Oriol Vinyals
Pete Warden
Martin Wattenberg
Martin Wicke
Yuan Yu
Xiaoqiang Zheng
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Papers citing "TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems"

50 / 1,161 papers shown
Title
Clipper: A Low-Latency Online Prediction Serving System
Clipper: A Low-Latency Online Prediction Serving System
D. Crankshaw
Xin Wang
Giulio Zhou
Michael Franklin
Joseph E. Gonzalez
Ion Stoica
32
672
0
09 Dec 2016
Predicting Ground-Level Scene Layout from Aerial Imagery
Predicting Ground-Level Scene Layout from Aerial Imagery
Menghua Zhai
Zachary Bessinger
Scott Workman
Nathan Jacobs
63
225
0
08 Dec 2016
Towards better decoding and language model integration in sequence to
  sequence models
Towards better decoding and language model integration in sequence to sequence models
J. Chorowski
Navdeep Jaitly
35
368
0
08 Dec 2016
SqueezeDet: Unified, Small, Low Power Fully Convolutional Neural
  Networks for Real-Time Object Detection for Autonomous Driving
SqueezeDet: Unified, Small, Low Power Fully Convolutional Neural Networks for Real-Time Object Detection for Autonomous Driving
Bichen Wu
Alvin Wan
F. Iandola
Peter H. Jin
Kurt Keutzer
44
512
0
04 Dec 2016
PointNet: Deep Learning on Point Sets for 3D Classification and
  Segmentation
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
C. Qi
Hao Su
Kaichun Mo
Leonidas Guibas
3DH
3DPC
3DV
PINN
302
14,172
0
02 Dec 2016
Modeling Relationships in Referential Expressions with Compositional
  Modular Networks
Modeling Relationships in Referential Expressions with Compositional Modular Networks
Ronghang Hu
Marcus Rohrbach
Jacob Andreas
Trevor Darrell
Kate Saenko
44
402
0
30 Nov 2016
Flexible Scheduling of Distributed Analytic Applications
Flexible Scheduling of Distributed Analytic Applications
Francesco Pace
D. Venzano
D. Carra
Pietro Michiardi
48
10
0
29 Nov 2016
Embedding Projector: Interactive Visualization and Interpretation of
  Embeddings
Embedding Projector: Interactive Visualization and Interpretation of Embeddings
D. Smilkov
Nikhil Thorat
Charles Nicholson
Emily Reif
F. Viégas
Martin Wattenberg
39
177
0
16 Nov 2016
Lip Reading Sentences in the Wild
Lip Reading Sentences in the Wild
Joon Son Chung
A. Senior
Oriol Vinyals
Andrew Zisserman
187
784
0
16 Nov 2016
Learning long-term dependencies for action recognition with a
  biologically-inspired deep network
Learning long-term dependencies for action recognition with a biologically-inspired deep network
Yemin Shi
Yonghong Tian
Yaowei Wang
Tiejun Huang
29
63
0
16 Nov 2016
When Fashion Meets Big Data: Discriminative Mining of Best Selling
  Clothing Features
When Fashion Meets Big Data: Discriminative Mining of Best Selling Clothing Features
Kuan-Ting Chen
Jiebo Luo
44
29
0
11 Nov 2016
RL$^2$: Fast Reinforcement Learning via Slow Reinforcement Learning
RL2^22: Fast Reinforcement Learning via Slow Reinforcement Learning
Yan Duan
John Schulman
Xi Chen
Peter L. Bartlett
Ilya Sutskever
Pieter Abbeel
OffRL
35
1,010
0
09 Nov 2016
Variational Lossy Autoencoder
Variational Lossy Autoencoder
Xi Chen
Diederik P. Kingma
Tim Salimans
Yan Duan
Prafulla Dhariwal
John Schulman
Ilya Sutskever
Pieter Abbeel
DRL
SSL
GAN
63
672
0
08 Nov 2016
Generative Multi-Adversarial Networks
Generative Multi-Adversarial Networks
Ishan Durugkar
I. Gemp
Sridhar Mahadevan
GAN
36
342
0
05 Nov 2016
A Differentiable Physics Engine for Deep Learning in Robotics
A Differentiable Physics Engine for Deep Learning in Robotics
Jonas Degrave
Michiel Hermans
J. Dambre
Francis Wyffels
PINN
AI4CE
32
227
0
05 Nov 2016
Flood-Filling Networks
Flood-Filling Networks
Michał Januszewski
Jeremy B. Maitin-Shepard
Peter H. Li
J. Kornfeld
W. Denk
Viren Jain
81
43
0
01 Nov 2016
Conditional Image Synthesis With Auxiliary Classifier GANs
Conditional Image Synthesis With Auxiliary Classifier GANs
Augustus Odena
C. Olah
Jonathon Shlens
GAN
259
3,197
0
30 Oct 2016
Sequence-to-sequence neural network models for transliteration
Sequence-to-sequence neural network models for transliteration
Mihaela Rosca
Thomas Breuel
36
66
0
29 Oct 2016
A Learned Representation For Artistic Style
A Learned Representation For Artistic Style
Vincent Dumoulin
Jonathon Shlens
M. Kudlur
GAN
230
1,160
0
24 Oct 2016
Exercise Motion Classification from Large-Scale Wearable Sensor Data
  Using Convolutional Neural Networks
Exercise Motion Classification from Large-Scale Wearable Sensor Data Using Convolutional Neural Networks
T. T. Um
Vahid Babakeshizadeh
Dana Kulić
35
71
0
22 Oct 2016
Learning to Protect Communications with Adversarial Neural Cryptography
Learning to Protect Communications with Adversarial Neural Cryptography
Martín Abadi
David G. Andersen
FedML
GAN
30
211
0
21 Oct 2016
Random Feature Expansions for Deep Gaussian Processes
Random Feature Expansions for Deep Gaussian Processes
Kurt Cutajar
Edwin V. Bonilla
Pietro Michiardi
Maurizio Filippone
BDL
23
144
0
14 Oct 2016
Machine learning applied to single-shot x-ray diagnostics in an XFEL
Machine learning applied to single-shot x-ray diagnostics in an XFEL
Alvaro Sanchez-Gonzalez
P. Micaelli
C. Olivier
T. Barillot
M. Ilchen
...
M. Vacher
D. Walke
V. Zhaunerchyk
Ryan N. Coffee
J. Marangos
14
80
0
11 Oct 2016
Technical Report on the CleverHans v2.1.0 Adversarial Examples Library
Technical Report on the CleverHans v2.1.0 Adversarial Examples Library
Nicolas Papernot
Fartash Faghri
Nicholas Carlini
Ian Goodfellow
Reuben Feinman
...
David Berthelot
P. Hendricks
Jonas Rauber
Rujun Long
Patrick McDaniel
AAML
18
510
0
03 Oct 2016
Collective Robot Reinforcement Learning with Distributed Asynchronous
  Guided Policy Search
Collective Robot Reinforcement Learning with Distributed Asynchronous Guided Policy Search
Ali Yahya
A. Li
Mrinal Kalakrishnan
Yevgen Chebotar
Sergey Levine
OffRL
26
155
0
03 Oct 2016
Very Deep Convolutional Neural Networks for Raw Waveforms
Very Deep Convolutional Neural Networks for Raw Waveforms
Wei Dai
Chia Dai
Shuhui Qu
Juncheng Billy Li
Samarjit Das
22
342
0
01 Oct 2016
Byte-based Language Identification with Deep Convolutional Networks
Byte-based Language Identification with Deep Convolutional Networks
Johannes Bjerva
21
16
0
28 Sep 2016
emoji2vec: Learning Emoji Representations from their Description
emoji2vec: Learning Emoji Representations from their Description
Ben Eisner
Tim Rocktaschel
Isabelle Augenstein
Matko Bosnjak
Sebastian Riedel
SSL
22
290
0
27 Sep 2016
HyperNetworks
HyperNetworks
David R Ha
Andrew M. Dai
Quoc V. Le
84
1,597
0
27 Sep 2016
Input Convex Neural Networks
Input Convex Neural Networks
Brandon Amos
Lei Xu
J. Zico Kolter
214
608
0
22 Sep 2016
Semantic Tagging with Deep Residual Networks
Semantic Tagging with Deep Residual Networks
Johannes Bjerva
Barbara Plank
Johan Bos
VLM
SSeg
25
78
0
22 Sep 2016
Distributed Training of Deep Neural Networks: Theoretical and Practical
  Limits of Parallel Scalability
Distributed Training of Deep Neural Networks: Theoretical and Practical Limits of Parallel Scalability
J. Keuper
Franz-Josef Pfreundt
GNN
58
98
0
22 Sep 2016
Show and Tell: Lessons learned from the 2015 MSCOCO Image Captioning
  Challenge
Show and Tell: Lessons learned from the 2015 MSCOCO Image Captioning Challenge
Oriol Vinyals
Alexander Toshev
Samy Bengio
D. Erhan
30
852
0
21 Sep 2016
Label-Free Supervision of Neural Networks with Physics and Domain
  Knowledge
Label-Free Supervision of Neural Networks with Physics and Domain Knowledge
Russell Stewart
Stefano Ermon
37
344
0
18 Sep 2016
Target-driven Visual Navigation in Indoor Scenes using Deep
  Reinforcement Learning
Target-driven Visual Navigation in Indoor Scenes using Deep Reinforcement Learning
Yuke Zhu
Roozbeh Mottaghi
Eric Kolve
Joseph J. Lim
Abhinav Gupta
Li Fei-Fei
Ali Farhadi
VGen
30
1,515
0
16 Sep 2016
An overview of gradient descent optimization algorithms
An overview of gradient descent optimization algorithms
Sebastian Ruder
ODL
144
6,158
0
15 Sep 2016
Unsupervised Monocular Depth Estimation with Left-Right Consistency
Unsupervised Monocular Depth Estimation with Left-Right Consistency
Clément Godard
Oisin Mac Aodha
Gabriel J. Brostow
MDE
75
2,873
0
13 Sep 2016
Autonomous driving challenge: To Infer the property of a dynamic object
  based on its motion pattern using recurrent neural network
Autonomous driving challenge: To Infer the property of a dynamic object based on its motion pattern using recurrent neural network
Mona Fathollahi
R. Kasturi
21
15
0
01 Sep 2016
AIDE: Fast and Communication Efficient Distributed Optimization
AIDE: Fast and Communication Efficient Distributed Optimization
Sashank J. Reddi
Jakub Konecný
Peter Richtárik
Barnabás Póczós
Alex Smola
26
150
0
24 Aug 2016
Exponential Family Embeddings
Exponential Family Embeddings
Maja R. Rudolph
Francisco J. R. Ruiz
Stephan Mandt
David M. Blei
33
107
0
02 Aug 2016
Deepr: A Convolutional Net for Medical Records
Deepr: A Convolutional Net for Medical Records
Phuoc Nguyen
T. Tran
N. Wickramasinghe
Svetha Venkatesh
MedIm
29
371
0
26 Jul 2016
Unsupervised Learning from Continuous Video in a Scalable Predictive
  Recurrent Network
Unsupervised Learning from Continuous Video in a Scalable Predictive Recurrent Network
Filip Piekniewski
Patryk A. Laurent
Csaba Petre
Micah Richert
Dimitry Fisher
Todd Hylton
25
17
0
22 Jul 2016
Uncovering Causality from Multivariate Hawkes Integrated Cumulants
Uncovering Causality from Multivariate Hawkes Integrated Cumulants
M. Achab
Emmanuel Bacry
Stéphane Gaïffas
I. Mastromatteo
Jean-François Muzy
60
90
0
21 Jul 2016
sk_p: a neural program corrector for MOOCs
sk_p: a neural program corrector for MOOCs
Yewen Pu
Karthik Narasimhan
Armando Solar-Lezama
Regina Barzilay
45
120
0
11 Jul 2016
Deep Learning with Differential Privacy
Deep Learning with Differential Privacy
Martín Abadi
Andy Chu
Ian Goodfellow
H. B. McMahan
Ilya Mironov
Kunal Talwar
Li Zhang
FedML
SyDa
93
6,033
0
01 Jul 2016
Convolutional Neural Networks on Graphs with Fast Localized Spectral
  Filtering
Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering
M. Defferrard
Xavier Bresson
P. Vandergheynst
GNN
149
7,610
0
30 Jun 2016
Robust Keystroke Biometric Anomaly Detection
Robust Keystroke Biometric Anomaly Detection
John V. Monaco
22
21
0
29 Jun 2016
LSTMVis: A Tool for Visual Analysis of Hidden State Dynamics in
  Recurrent Neural Networks
LSTMVis: A Tool for Visual Analysis of Hidden State Dynamics in Recurrent Neural Networks
Hendrik Strobelt
Sebastian Gehrmann
Hanspeter Pfister
Alexander M. Rush
HAI
34
83
0
23 Jun 2016
Omnivore: An Optimizer for Multi-device Deep Learning on CPUs and GPUs
Omnivore: An Optimizer for Multi-device Deep Learning on CPUs and GPUs
Stefan Hadjis
Ce Zhang
Ioannis Mitliagkas
Dan Iter
Christopher Ré
25
65
0
14 Jun 2016
Improved Techniques for Training GANs
Improved Techniques for Training GANs
Tim Salimans
Ian Goodfellow
Wojciech Zaremba
Vicki Cheung
Alec Radford
Xi Chen
GAN
209
8,975
0
10 Jun 2016
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