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Long short-term memory

Known as: LSTM, Long short term memory 
Long short-term memory (LSTM) is a recurrent neural network (RNN) architecture (an artificial neural network) proposed in 1997 by Sepp Hochreiter and… Expand
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Papers overview

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Highly Cited
2018
Highly Cited
2018
Long short-term memory (LSTM) networks are a state-of-the-art technique for sequence learning. They are less commonly applied to… Expand
Highly Cited
2016
Highly Cited
2016
This paper introduces Grid Long Short-Term Memory, a network of LSTM cells arranged in a multidimensional grid that can be… Expand
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Highly Cited
2016
Highly Cited
2016
Relation classification is an important semantic processing task in the field of natural language processing (NLP). State-ofthe… Expand
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Highly Cited
2016
Highly Cited
2016
In this paper we address the question of how to render sequence-level networks better at handling structured input. We propose a… Expand
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Highly Cited
2015
Highly Cited
2015
Because of their superior ability to preserve sequence information over time, Long Short-Term Memory (LSTM) networks, a type of… Expand
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Highly Cited
2015
Highly Cited
2015
Long Short Term Memory (LSTM) networks have been demonstrated to be particularly useful for learning sequences containing longer… Expand
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Highly Cited
2015
Highly Cited
2015
Both Convolutional Neural Networks (CNNs) and Long Short-Term Memory (LSTM) have shown improvements over Deep Neural Networks… Expand
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Highly Cited
2015
Highly Cited
2015
This work was sponsored in part by the U. S. Army Research Laboratory and the U. S. Army Research Office/nunder contract/grant… Expand
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Highly Cited
2014
Highly Cited
2014
Long Short-Term Memory (LSTM) is a specific recurrent neural network (RNN) architecture that was designed to model temporal… Expand
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Highly Cited
1963
Highly Cited
1963
Abstract : A dichotomy of human memory into immediate memory and long-term memory (associative memory, habit) has been widely… Expand
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