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Phased LSTM: Accelerating Recurrent Network Training for Long or
  Event-based Sequences

Phased LSTM: Accelerating Recurrent Network Training for Long or Event-based Sequences

29 October 2016
Daniel Neil
Michael Pfeiffer
Shih-Chii Liu
    AI4TS
ArXivPDFHTML

Papers citing "Phased LSTM: Accelerating Recurrent Network Training for Long or Event-based Sequences"

10 / 60 papers shown
Title
The streaming rollout of deep networks - towards fully model-parallel
  execution
The streaming rollout of deep networks - towards fully model-parallel execution
Volker Fischer
Jan M. Köhler
Thomas Pfeil
24
16
0
13 Jun 2018
Discovering Signals from Web Sources to Predict Cyber Attacks
Discovering Signals from Web Sources to Predict Cyber Attacks
Palash Goyal
K. T. Hossain
A. Deb
N. Tavabi
Nathan Bartley
A. Abeliuk
Emilio Ferrara
Kristina Lerman
13
24
0
08 Jun 2018
Deep Learning in Spiking Neural Networks
Deep Learning in Spiking Neural Networks
A. Tavanaei
M. Ghodrati
Saeed Reza Kheradpisheh
T. Masquelier
Anthony Maida
12
1,057
0
22 Apr 2018
HATS: Histograms of Averaged Time Surfaces for Robust Event-based Object
  Classification
HATS: Histograms of Averaged Time Surfaces for Robust Event-based Object Classification
A. Sironi
Manuele Brambilla
Nicolas Bourdis
Xavier Lagorce
R. Benosman
26
441
0
21 Mar 2018
Learning the Joint Representation of Heterogeneous Temporal Events for
  Clinical Endpoint Prediction
Learning the Joint Representation of Heterogeneous Temporal Events for Clinical Endpoint Prediction
Luchen Liu
Jianhao Shen
Ming Zhang
Zichang Wang
Jian Tang
16
44
0
13 Mar 2018
DeepHeart: Semi-Supervised Sequence Learning for Cardiovascular Risk
  Prediction
DeepHeart: Semi-Supervised Sequence Learning for Cardiovascular Risk Prediction
Brandon Ballinger
Johnson Hsieh
Avesh Singh
N. Sohoni
Jack Wang
...
G. Marcus
Jose M. Sanchez
Carol Maguire
J. Olgin
M. Pletcher
HAI
28
129
0
07 Feb 2018
Dilated Recurrent Neural Networks
Dilated Recurrent Neural Networks
Shiyu Chang
Yang Zhang
Wei Han
Mo Yu
Xiaoxiao Guo
Wei Tan
Xiaodong Cui
Michael Witbrock
M. Hasegawa-Johnson
Thomas S. Huang
47
298
0
05 Oct 2017
Skip RNN: Learning to Skip State Updates in Recurrent Neural Networks
Skip RNN: Learning to Skip State Updates in Recurrent Neural Networks
Victor Campos
Brendan Jou
Xavier Giró-i-Nieto
Jordi Torres
Shih-Fu Chang
21
217
0
22 Aug 2017
Practical Processing of Mobile Sensor Data for Continual Deep Learning
  Predictions
Practical Processing of Mobile Sensor Data for Continual Deep Learning Predictions
Kleomenis Katevas
Ilias Leontiadis
M. Pielot
Joan Serrà
HAI
16
12
0
17 May 2017
Modeling Long- and Short-Term Temporal Patterns with Deep Neural
  Networks
Modeling Long- and Short-Term Temporal Patterns with Deep Neural Networks
Guokun Lai
Wei-Cheng Chang
Yiming Yang
Hanxiao Liu
BDL
AI4TS
76
1,956
0
21 Mar 2017
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