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A Critical Review of Recurrent Neural Networks for Sequence Learning
v1v2v3v4 (latest)

A Critical Review of Recurrent Neural Networks for Sequence Learning

29 May 2015
Zachary Chase Lipton
John Berkowitz
Charles Elkan
ArXiv (abs)PDFHTML

Papers citing "A Critical Review of Recurrent Neural Networks for Sequence Learning"

21 / 271 papers shown
Title
Prolongation of SMAP to Spatio-temporally Seamless Coverage of
  Continental US Using a Deep Learning Neural Network
Prolongation of SMAP to Spatio-temporally Seamless Coverage of Continental US Using a Deep Learning Neural Network
K. Fang
Chaopeng Shen
Daniel Kifer
Xiaohu Yang
AI4TS
45
231
0
20 Jul 2017
Personalizing Session-based Recommendations with Hierarchical Recurrent
  Neural Networks
Personalizing Session-based Recommendations with Hierarchical Recurrent Neural Networks
Massimo Quadrana
Alexandros Karatzoglou
Balázs Hidasi
Paolo Cremonesi
83
649
0
13 Jun 2017
An overview and comparative analysis of Recurrent Neural Networks for
  Short Term Load Forecasting
An overview and comparative analysis of Recurrent Neural Networks for Short Term Load Forecasting
F. Bianchi
E. Maiorino
Michael C. Kampffmeyer
A. Rizzi
Robert Jenssen
AI4TS
109
218
0
11 May 2017
DeepCCI: End-to-end Deep Learning for Chemical-Chemical Interaction
  Prediction
DeepCCI: End-to-end Deep Learning for Chemical-Chemical Interaction Prediction
Sunyoung Kwon
Sungroh Yoon
47
52
0
27 Apr 2017
A New Type of Neurons for Machine Learning
A New Type of Neurons for Machine Learning
Fenglei Fan
W. Cong
Ge Wang
57
73
0
26 Apr 2017
A Novel Experimental Platform for In-Vessel Multi-Chemical Molecular
  Communications
A Novel Experimental Platform for In-Vessel Multi-Chemical Molecular Communications
Nariman Farsad
David Pan
Andrea J. Goldsmith
35
106
0
16 Apr 2017
Classifying Symmetrical Differences and Temporal Change in Mammography
  Using Deep Neural Networks
Classifying Symmetrical Differences and Temporal Change in Mammography Using Deep Neural Networks
Thijs Kooi
N. Karssemeijer
58
48
0
22 Mar 2017
Dance Dance Convolution
Dance Dance Convolution
Chris Donahue
Zachary Chase Lipton
Julian McAuley
61
36
0
20 Mar 2017
On the Origin of Deep Learning
On the Origin of Deep Learning
Haohan Wang
Bhiksha Raj
MedIm3DVVLM
145
225
0
24 Feb 2017
Hierarchical Symbolic Dynamic Filtering of Streaming Non-stationary Time
  Series Data
Hierarchical Symbolic Dynamic Filtering of Streaming Non-stationary Time Series Data
Adedotun Akintayo
Soumik Sarkar
68
8
0
06 Feb 2017
Recurrent Neural Networks for anomaly detection in the Post-Mortem time
  series of LHC superconducting magnets
Recurrent Neural Networks for anomaly detection in the Post-Mortem time series of LHC superconducting magnets
Maciej Wielgosz
A. Skoczeń
M. Mertik
37
9
0
02 Feb 2017
Towards Decoding as Continuous Optimization in Neural Machine
  Translation
Towards Decoding as Continuous Optimization in Neural Machine Translation
Cong Duy Vu Hoang
Gholamreza Haffari
Trevor Cohn
AI4CE
89
42
0
11 Jan 2017
Efficient Orthogonal Parametrisation of Recurrent Neural Networks Using
  Householder Reflections
Efficient Orthogonal Parametrisation of Recurrent Neural Networks Using Householder Reflections
Zakaria Mhammedi
Andrew D. Hellicar
Ashfaqur Rahman
James Bailey
101
129
0
01 Dec 2016
Using LSTM recurrent neural networks for monitoring the LHC
  superconducting magnets
Using LSTM recurrent neural networks for monitoring the LHC superconducting magnets
Maciej Wielgosz
A. Skoczeń
M. Mertik
49
53
0
18 Nov 2016
A Survey of Brain Inspired Technologies for Engineering
A Survey of Brain Inspired Technologies for Engineering
Jarryd Son
A. Mishra
22
5
0
31 Oct 2016
A Conceptual Development of Quench Prediction App build on LSTM and ELQA
  framework
A Conceptual Development of Quench Prediction App build on LSTM and ELQA framework
M. Mertik
Maciej Wielgosz
A. Skoczeń
23
0
0
25 Oct 2016
Characterizing Driving Styles with Deep Learning
Characterizing Driving Styles with Deep Learning
Weishan Dong
Jian Li
Renjie Yao
Changsheng Li
Ting Yuan
Lanjun Wang
56
105
0
13 Jul 2016
Modeling Missing Data in Clinical Time Series with RNNs
Modeling Missing Data in Clinical Time Series with RNNs
Zachary Chase Lipton
David C. Kale
R. Wetzel
AI4TS
105
231
0
13 Jun 2016
Continuous online sequence learning with an unsupervised neural network
  model
Continuous online sequence learning with an unsupervised neural network model
Yuwei Cui
Subutai Ahmad
J. Hawkins
CLL
48
240
0
17 Dec 2015
Learning to Diagnose with LSTM Recurrent Neural Networks
Learning to Diagnose with LSTM Recurrent Neural Networks
Zachary Chase Lipton
David C. Kale
Charles Elkan
R. Wetzel
176
1,111
0
11 Nov 2015
Phenotyping of Clinical Time Series with LSTM Recurrent Neural Networks
Phenotyping of Clinical Time Series with LSTM Recurrent Neural Networks
Zachary Chase Lipton
David C. Kale
R. Wetzel
54
38
0
26 Oct 2015
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