Prevalence of major depressive disorder among immigrants of the metropolitan region of santiago, chile

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dc.contributor.authorErrazuriz Concha, Antonia
dc.date.accessioned2024-03-06T15:37:13Z
dc.date.available2024-03-06T15:37:13Z
dc.date.issued2020
dc.description.abstractModern machine learning pipelines are limited due to data availability, storage quotas, privacy regulations, and expensive annotation processes. These constraints make it difficult or impossible to train and update large-scale models on such dynamic annotated sets. Continual learning directly approaches this problem, with the ultimate goal of devising methods where a deep neural network effectively learns relevant patterns for new (unseen) classes, without significantly altering its performance on previously learned ones. In this paper, we address the problem of continual learning for video data. We introduce PIVOT, a novel method that leverages extensive knowledge in pre-trained models from the image domain, thereby reducing the number of trainable parameters and the associated forgetting. Unlike previous methods, ours is the first approach that effectively uses prompting mechanisms for continual learning without any in-domain pre-training. Our experiments show that PIVOT improves state-of-the-art methods by a significant 27% on the 20-task ActivityNet setup.
dc.description.funderANID - Millennium Science Initiative Program / Millennium Institute for Research on Depression and Personality-MIDAP
dc.fechaingreso.objetodigital2024-12-18
dc.format.extent1 pƔgina
dc.fuente.origenWOS
dc.identifier.doi10.1192/j.eurpsy.2020.6
dc.identifier.eisbn979-8-3503-0129-8
dc.identifier.eissn1778-3585
dc.identifier.issn0924-9338
dc.identifier.pubmedidMEDLINE:34927594
dc.identifier.urihttps://doi.org/10.1109/CVPR52729.2023.02319
dc.identifier.urihttps://repositorio.uc.cl/handle/11534/84269
dc.identifier.wosidWOS:000582502501377
dc.information.autorucEscuela de Medicina; Errazuriz Concha, Antonia; 0000-0001-9948-388X; 1015339
dc.issue.numero3
dc.language.isoen
dc.nota.accesocontenido parcial
dc.pagina.final667
dc.pagina.inicio667
dc.relation.ispartofEuropean Congress of Psychiatry (28th, 2020, Electr. Network)
dc.revistaEuropean Psychiatry
dc.rightsacceso abierto
dc.subjectMigrants
dc.subjectPrevalence
dc.subjectGlobal mental health
dc.subjectDepression
dc.subject.ddc610
dc.subject.deweyMedicina y saludes_ES
dc.subject.ods03 Good health and well-being
dc.subject.odspa03 Salud y bienestar
dc.titlePrevalence of major depressive disorder among immigrants of the metropolitan region of santiago, chile
dc.typecomunicaciĆ³n de congreso
dc.volumen63
sipa.codpersvinculados1015339
sipa.indexWOS
sipa.trazabilidadCarga WOS-SCOPUS;06-03-2024
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