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Self-supervised Learning for Semi-supervised Time Series Classification

Self-supervised learning is a promising new technique for learning representative features in the absence of manual annotations. It is particularly efficient in cases where labeling the training data is expensive and tedious, naturally linking it to the semi-supervised learning paradigm. In this wor...

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Detalles Bibliográficos
Autores principales: Jawed, Shayan, Grabocka, Josif, Schmidt-Thieme, Lars
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7206263/
http://dx.doi.org/10.1007/978-3-030-47426-3_39