A Comparative Analysis between Efficient Attention Mechanisms for Traffic Forecasting without Structural Priors

Dot-product attention is a powerful mechanism for capturing contextual information. Models that build on top of it have acclaimed state-of-the-art performance in various domains, ranging from sequence modelling to visual tasks. However, the main bottleneck is the construction of the attention map, w...

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Detalles Bibliográficos
Autores principales: Rad, Andrei-Cristian, Lemnaru, Camelia, Munteanu, Adrian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9571981/
https://www.ncbi.nlm.nih.gov/pubmed/36236555
http://dx.doi.org/10.3390/s22197457

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9571981/
https://www.ncbi.nlm.nih.gov/pubmed/36236555
http://dx.doi.org/10.3390/s22197457

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