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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
Zhehuai 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 / 1,041 papers shown
Title
Making Neural QA as Simple as Possible but not Simpler
Making Neural QA as Simple as Possible but not Simpler
Dirk Weissenborn
Georg Wiese
Laura Seiffe
28
209
0
14 Mar 2017
DeepSleepNet: a Model for Automatic Sleep Stage Scoring based on Raw
  Single-Channel EEG
DeepSleepNet: a Model for Automatic Sleep Stage Scoring based on Raw Single-Channel EEG
A. Supratak
Hao Dong
Chao Wu
Yike Guo
45
951
0
12 Mar 2017
Learning Gradient Descent: Better Generalization and Longer Horizons
Learning Gradient Descent: Better Generalization and Longer Horizons
Kaifeng Lyu
Shunhua Jiang
Jian Li
20
113
0
10 Mar 2017
Customer Lifetime Value Prediction Using Embeddings
Customer Lifetime Value Prediction Using Embeddings
B. Chamberlain
Ângelo Cardoso
C. H. B. Liu
Roberto Pagliari
M. Deisenroth
8
84
0
07 Mar 2017
Multiplicative Normalizing Flows for Variational Bayesian Neural
  Networks
Multiplicative Normalizing Flows for Variational Bayesian Neural Networks
Christos Louizos
Max Welling
BDL
49
456
0
06 Mar 2017
Neural Machine Translation and Sequence-to-sequence Models: A Tutorial
Neural Machine Translation and Sequence-to-sequence Models: A Tutorial
Graham Neubig
AIMat
37
171
0
05 Mar 2017
Machine Learning on Sequential Data Using a Recurrent Weighted Average
Machine Learning on Sequential Data Using a Recurrent Weighted Average
Jared Ostmeyer
L. Cowell
22
32
0
03 Mar 2017
Large-Scale Evolution of Image Classifiers
Large-Scale Evolution of Image Classifiers
Esteban Real
Sherry Moore
Andrew Selle
Saurabh Saxena
Y. Suematsu
Jie Tan
Quoc V. Le
Alexey Kurakin
63
1,630
0
03 Mar 2017
Compositional Falsification of Cyber-Physical Systems with Machine
  Learning Components
Compositional Falsification of Cyber-Physical Systems with Machine Learning Components
T. Dreossi
Alexandre Donzé
S. Seshia
AAML
38
230
0
02 Mar 2017
MoleculeNet: A Benchmark for Molecular Machine Learning
MoleculeNet: A Benchmark for Molecular Machine Learning
Zhenqin Wu
Bharath Ramsundar
Evan N. Feinberg
Joseph Gomes
C. Geniesse
Aneesh S. Pappu
K. Leswing
Vijay S. Pande
OOD
260
1,793
0
02 Mar 2017
Understanding Synthetic Gradients and Decoupled Neural Interfaces
Understanding Synthetic Gradients and Decoupled Neural Interfaces
Wojciech M. Czarnecki
G. Swirszcz
Max Jaderberg
Simon Osindero
Oriol Vinyals
Koray Kavukcuoglu
33
81
0
01 Mar 2017
Generating Steganographic Images via Adversarial Training
Generating Steganographic Images via Adversarial Training
Jamie Hayes
G. Danezis
AAML
GAN
35
275
0
01 Mar 2017
CHAOS: A Parallelization Scheme for Training Convolutional Neural
  Networks on Intel Xeon Phi
CHAOS: A Parallelization Scheme for Training Convolutional Neural Networks on Intel Xeon Phi
Andre Viebke
Suejb Memeti
Sabri Pllana
Ajith Abraham
48
25
0
25 Feb 2017
How hard is it to cross the room? -- Training (Recurrent) Neural
  Networks to steer a UAV
How hard is it to cross the room? -- Training (Recurrent) Neural Networks to steer a UAV
Klaas Kelchtermans
Tinne Tuytelaars
32
34
0
24 Feb 2017
Neural Multi-Step Reasoning for Question Answering on Semi-Structured
  Tables
Neural Multi-Step Reasoning for Question Answering on Semi-Structured Tables
Till Haug
O. Ganea
Paulina Grnarova
LMTD
ReLM
LRM
33
38
0
21 Feb 2017
Real-time visual tracking by deep reinforced decision making
Real-time visual tracking by deep reinforced decision making
Janghoon Choi
Junseok Kwon
Kyoung Mu Lee
16
41
0
21 Feb 2017
Cosine Normalization: Using Cosine Similarity Instead of Dot Product in
  Neural Networks
Cosine Normalization: Using Cosine Similarity Instead of Dot Product in Neural Networks
Chunjie Luo
Jianfeng Zhan
Lei Wang
Qiang Yang
24
199
0
20 Feb 2017
A Survey on Deep Learning in Medical Image Analysis
A Survey on Deep Learning in Medical Image Analysis
G. Litjens
Thijs Kooi
B. Bejnordi
A. Setio
F. Ciompi
Mohsen Ghafoorian
Jeroen van der Laak
Bram van Ginneken
C. I. Sánchez
OOD
382
10,658
0
19 Feb 2017
Video Frame Synthesis using Deep Voxel Flow
Video Frame Synthesis using Deep Voxel Flow
Ziwei Liu
Raymond A. Yeh
Xiaoou Tang
Yiming Liu
A. Agarwala
38
743
0
08 Feb 2017
SenseGen: A Deep Learning Architecture for Synthetic Sensor Data
  Generation
SenseGen: A Deep Learning Architecture for Synthetic Sensor Data Generation
M. Alzantot
Supriyo Chakraborty
Mani B. Srivastava
21
126
0
31 Jan 2017
Source localization in an ocean waveguide using supervised machine
  learning
Source localization in an ocean waveguide using supervised machine learning
Haiqiang Niu
Emma Reeves
Peter Gerstoft
29
163
0
29 Jan 2017
Regularizing Neural Networks by Penalizing Confident Output
  Distributions
Regularizing Neural Networks by Penalizing Confident Output Distributions
Gabriel Pereyra
George Tucker
J. Chorowski
Lukasz Kaiser
Geoffrey E. Hinton
NoLa
78
1,127
0
23 Jan 2017
Outrageously Large Neural Networks: The Sparsely-Gated
  Mixture-of-Experts Layer
Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer
Noam M. Shazeer
Azalia Mirhoseini
Krzysztof Maziarz
Andy Davis
Quoc V. Le
Geoffrey E. Hinton
J. Dean
MoE
61
2,543
0
23 Jan 2017
Bringing Impressionism to Life with Neural Style Transfer in Come Swim
Bringing Impressionism to Life with Neural Style Transfer in Come Swim
Xiaokui Shu
Kristyn Stewart
D. Shapiro
33
30
0
18 Jan 2017
Synthesizing Normalized Faces from Facial Identity Features
Synthesizing Normalized Faces from Facial Identity Features
Forrester Cole
David Belanger
Dilip Krishnan
Aaron Sarna
Inbar Mosseri
William T. Freeman
3DH
CVBM
37
141
0
17 Jan 2017
Equivalence of restricted Boltzmann machines and tensor network states
Equivalence of restricted Boltzmann machines and tensor network states
Martín Arjovsky
Song Cheng
Haidong Xie
Léon Bottou
Tao Xiang
32
225
0
17 Jan 2017
Vulnerability of Deep Reinforcement Learning to Policy Induction Attacks
Vulnerability of Deep Reinforcement Learning to Policy Induction Attacks
Vahid Behzadan
Arslan Munir
AAML
SILM
26
274
0
16 Jan 2017
Embedding Watermarks into Deep Neural Networks
Embedding Watermarks into Deep Neural Networks
Yusuke Uchida
Yuki Nagai
S. Sakazawa
Shiníchi Satoh
62
600
0
15 Jan 2017
DyNet: The Dynamic Neural Network Toolkit
DyNet: The Dynamic Neural Network Toolkit
Graham Neubig
Chris Dyer
Yoav Goldberg
Austin Matthews
Bridger Waleed Ammar
...
Yusuke Oda
Matthew Richardson
Naomi Saphra
Swabha Swayamdipta
Pengcheng Yin
43
386
0
15 Jan 2017
Unsupervised Image-to-Image Translation with Generative Adversarial
  Networks
Unsupervised Image-to-Image Translation with Generative Adversarial Networks
Hao Dong
Paarth Neekhara
Chao Wu
Yike Guo
GAN
29
88
0
10 Jan 2017
Learning From Noisy Large-Scale Datasets With Minimal Supervision
Learning From Noisy Large-Scale Datasets With Minimal Supervision
Andreas Veit
N. Alldrin
Gal Chechik
Ivan Krasin
Abhinav Gupta
Serge J. Belongie
34
476
0
06 Jan 2017
Linking the Neural Machine Translation and the Prediction of Organic
  Chemistry Reactions
Linking the Neural Machine Translation and the Prediction of Organic Chemistry Reactions
Juno Nam
Jurae Kim
27
78
0
29 Dec 2016
Beyond Skip Connections: Top-Down Modulation for Object Detection
Beyond Skip Connections: Top-Down Modulation for Object Detection
Abhinav Shrivastava
Rahul Sukthankar
Jitendra Malik
Abhinav Gupta
ObjD
41
320
0
20 Dec 2016
Unsupervised Pixel-Level Domain Adaptation with Generative Adversarial
  Networks
Unsupervised Pixel-Level Domain Adaptation with Generative Adversarial Networks
Konstantinos Bousmalis
N. Silberman
David Dohan
D. Erhan
Dilip Krishnan
OOD
GAN
104
1,530
0
16 Dec 2016
A Unit Selection Methodology for Music Generation Using Deep Neural
  Networks
A Unit Selection Methodology for Music Generation Using Deep Neural Networks
Mason Bretan
Gil Weinberg
Larry Heck
MGen
14
56
0
12 Dec 2016
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
30
671
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
57
223
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
17
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 J. Guibas
3DH
3DPC
3DV
PINN
222
14,146
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
42
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
40
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
28
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
185
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
23
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
47
671
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
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