Sokratous Sokratis, Ζilides Christos, Panagi Despo, Karanikola Maria
Prevalence of depressive symptoms among schoolchildren in Cyprus: a cross-sectional descriptive correlational study
Child and adolescent psychiatry and mental health
semisupervised learning ssl suffers severe performance degradation labeled unlabeled data come inconsistent imbalanced distribution nonetheless lack theoretical guidance regarding remedy issue bridge gap theoretical insights practical solutions embark analysis generalization bound classic ssl algorithms analysis reveals distribution inconsistency unlabeled labeled data cause significant generalization error bound motivated theoretical insight present triplet adaptation framework taf reduce distribution divergence improve generalization ssl models taf comprises three adapters balanced residual adapter aiming map class distribution labeled unlabeled data uniform distribution reducing class distribution divergence representation adapter aiming map representation distribution unlabeled data labeled one reducing representation distribution divergence pseudolabel adapter aiming align predicted pseudolabels class distribution unlabeled data thereby preventing erroneous pseudolabels exacerbating representation divergence three adapters collaborate synergistically reduce generalization bound ultimately achieving robust generalizable ssl model extensive experiments across various robust ssl scenarios validate efficacy method