Recurrent neural network

Known as: Elman network, Recurrent neural networks, Simple recurrent network 
A recurrent neural network (RNN) is a class of artificial neural network where connections between units form a directed cycle. This creates an… (More)
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Topic mentions per year

Topic mentions per year

1987-2017
05001000150019872017

Papers overview

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Highly Cited
2015
Highly Cited
2015
Pixel-level labelling tasks, such as semantic segmentation, play a central role in image understanding. Recent approaches have… (More)
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Highly Cited
2014
Highly Cited
2014
We present a simple regularization technique for Recurrent Neural Networks (RNNs) with Long Short-Term Memory (LSTM) units… (More)
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Highly Cited
2014
Highly Cited
2014
In this paper we compare different types of recurrent units in recurrent neural networks (RNNs). Especially, we focus on more… (More)
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Highly Cited
2013
Highly Cited
2013
This paper shows how Long Short-term Memory recurrent neural networks can be used to generate complex sequences with long-range… (More)
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Highly Cited
2013
Highly Cited
2013
Recurrent neural networks (RNNs) are a powerful model for sequential data. End-to-end training methods such as Connectionist… (More)
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Highly Cited
2011
Highly Cited
2011
Recurrent Neural Networks (RNNs) are very powerful sequence models that do not enjoy widespread use because it is extremely… (More)
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Highly Cited
2011
Highly Cited
2011
We present several modifications of the original recurrent neural network language model (RNN LM).While this model has been shown… (More)
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Highly Cited
2010
Highly Cited
2010
A new recurrent neural network based language model (RNN LM) with applications to speech recognition is presented. Results… (More)
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Review
2009
Review
2009
Echo State Networks and Liquid State Machines introduced a new paradigm in artificial recurrent neural network (RNN) training… (More)
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Highly Cited
2008
Highly Cited
2008
Recurrent neural networks are powerful sequence learners. They are able to incorporate context information in a flexible way, and… (More)
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