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1506.00019
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A Critical Review of Recurrent Neural Networks for Sequence Learning
29 May 2015
Zachary Chase Lipton
John Berkowitz
Charles Elkan
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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
K. Fang
Chaopeng Shen
Daniel Kifer
Xiaohu Yang
AI4TS
45
231
0
20 Jul 2017
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
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
Sunyoung Kwon
Sungroh Yoon
47
52
0
27 Apr 2017
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
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
Thijs Kooi
N. Karssemeijer
58
48
0
22 Mar 2017
Dance Dance Convolution
Chris Donahue
Zachary Chase Lipton
Julian McAuley
61
36
0
20 Mar 2017
On the Origin of Deep Learning
Haohan Wang
Bhiksha Raj
MedIm
3DV
VLM
145
225
0
24 Feb 2017
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
Maciej Wielgosz
A. Skoczeń
M. Mertik
37
9
0
02 Feb 2017
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
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
Maciej Wielgosz
A. Skoczeń
M. Mertik
49
53
0
18 Nov 2016
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
M. Mertik
Maciej Wielgosz
A. Skoczeń
23
0
0
25 Oct 2016
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
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
Yuwei Cui
Subutai Ahmad
J. Hawkins
CLL
48
240
0
17 Dec 2015
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
Zachary Chase Lipton
David C. Kale
R. Wetzel
54
38
0
26 Oct 2015
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