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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...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2022
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| Materias: | |
| 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 |