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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

Semantic Scholar uses AI to extract papers important to this topic.
Review
2019
Review
2019
With the breakthroughs in deep learning, the recent years have witnessed a booming of artificial intelligence (AI) applications… Expand
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Review
2019
Review
2019
In order to effectively provide ultra reliable low latency communications and pervasive connectivity for Internet of Things (IoT… Expand
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Review
2019
Review
2019
Given the recent surge in developments of deep learning, this paper provides a review of the state-of-the-art deep learning… Expand
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Review
2019
Review
2019
Many online applications, such as online social networks or knowledge bases, are often attacked by malicious users who commit… Expand
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Review
2019
Review
2019
The fast increment in the number of IoT (Internet of Things) devices is accelerating the research on new solutions to make cloud… Expand
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Review
2018
Review
2018
Abstract Because of their effectiveness in broad practical applications, LSTM networks have received a wealth of coverage in… Expand
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Review
2018
Review
2018
Although various techniques have been proposed to generate adversarial samples for white-box attacks on text, little attention… Expand
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Review
2018
Review
2018
In the era of the Internet of Things (IoT), an enormous amount of sensing devices collect and/or generate various sensory data… Expand
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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… 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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