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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… 
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Papers overview

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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… 
Highly Cited
2016
Highly Cited
2016
  • P. ZhouWei Shi Bo Xu
  • Annual Meeting of the Association for…
  • 2016
  • Corpus ID: 9870160
Relation classification is an important semantic processing task in the field of natural language processing (NLP). State-ofthe… 
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… 
Highly Cited
2016
Highly Cited
2016
Matching pedestrians across multiple camera views known as human re-identification (re-identification) is a challenging problem… 
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… 
Highly Cited
2015
Highly Cited
2015
Long Short Term Memory (LSTM) networks have been demonstrated to be particularly useful for learning sequences containing longer… 
Highly Cited
2015
Highly Cited
2015
Both Convolutional Neural Networks (CNNs) and Long Short-Term Memory (LSTM) have shown improvements over Deep Neural Networks… 
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… 
Highly Cited
2014
Highly Cited
2014
Long Short-Term Memory (LSTM) is a recurrent neural network (RNN) architecture that has been designed to address the vanishing… 
Highly Cited
2012
Highly Cited
2012
As discussed in the previous chapter, an important benefit of recurrent neural networks is their ability to use contextual…