Results 11 to 20 of about 2,212,722 (355)
Improved Semantic Representations From Tree-Structured Long Short-Term Memory Networks [PDF]
Annual Meeting of the Association for Computational Linguistics, 2015 Because of their superior ability to preserve sequence information over time, Long Short-Term Memory (LSTM) networks, a type of recurrent neural network with a more complex computational unit, have obtained strong results on a variety of sequence ...
Kai Sheng Tai +2 more
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Quantum Long Short-Term Memory [PDF]
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2022 Long short-term memory (LSTM) is a kind of recurrent neural networks (RNN) for sequence and temporal dependency data modeling and its effectiveness has been extensively established. In this work, we propose a hybrid quantum-classical model of LSTM, which we dub QLSTM.
Chen, Samuel Yen-Chi +2 more
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Lipreading with long short-term memory [PDF]
2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2016 Accepted for publication at ICASSP ...
Jürgen Schmidhuber +2 more
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Long Short-Term Memory-Networks for Machine Reading [PDF]
Proceedings of the 2016 Conference on Empirical Methods in Natural
Language Processing, 2016 In this paper we address the question of how to render sequence-level networks better at handling structured input. We propose a machine reading simulator which processes text incrementally from left to right and performs shallow reasoning with memory and attention.
Cheng, Jianpeng +2 more
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Video Summarization with Long Short-Term Memory [PDF]
European Conference on Computer Vision, 2016 We propose a novel supervised learning technique for summarizing videos by automatically selecting keyframes or key subshots. Casting the problem as a structured prediction problem on sequential data, our main idea is to use Long Short-Term Memory (LSTM), a special type of recurrent neural networks to model the variable-range dependencies entailed in ...
Ke Zhang +3 more
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Compositional Distributional Semantics with Long Short Term Memory [PDF]
Proceedings of the Fourth Joint Conference on Lexical and Computational Semantics, 2015 We are proposing an extension of the recursive neural network that makes use of a variant of the long short-term memory architecture. The extension allows information low in parse trees to be stored in a memory register (the `memory cell') and used much later higher up in the parse tree.
Le, P., Zuidema, W.
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A review on the long short-term memory model
Artificial Intelligence Review, 2020 Long short-term memory (LSTM) has transformed both machine learning and neurocomputing fields. According to several online sources, this model has improved Google’s speech recognition, greatly improved machine translations on Google Translate, and the answers of Amazon’s Alexa.
Carlos Mosquera +3 more
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Long Short-Term Memory Spatial Transformer Network [PDF]
2019 IEEE 8th Joint International Information Technology and Artificial Intelligence Conference (ITAIC), 2019 Spatial transformer network has been used in a layered form in conjunction with a convolutional network to enable the model to transform data spatially. In this paper, we propose a combined spatial transformer network (STN) and a Long Short-Term Memory network (LSTM) to classify digits in sequences formed by MINST elements.
Hao Sun, Tianyue Chen, Shiyang Feng
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Long and Short Term Memory in Head Injured Patients
Cortex, 1975 A group of severely head injured patients were compared with 15 controls on auditory vocal digit span, and on a free recall memory task, enabling short term memory (STM) and long term memory (LTM) to be examined. The free recall curves differed for the two groups suggesting that the head injured patients had an essentially normal STM, but a poor LTM ...
D. N. Brooks
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Short-term memory and long-term memory are still different. [PDF]
Psychological Bulletin, 2017 A commonly expressed view is that short-term memory (STM) is nothing more than activated long-term memory. If true, this would overturn a central tenet of cognitive psychology-the idea that there are functionally and neurobiologically distinct short- and long-term stores.
Norris, Dennis
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