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Veebipõhine isejuhendatud õppimine

Veebipõhine isejuhendatud õppimine (online SSL) treenib neurovõrke märgistamata andmetel, mis saabuvad järjestikku või voogudena, kasutades automaatselt genereeritud järelevalvesignaale (preteksti ülesanded) inimlikest märgenditest. Mudelit pidevalt uuendades, kui uued andmed sisse voolavad, võimaldab see pidevalt arenevaid representatsioone ilma täielikku andmestikku salvestamata – see on kriitilise tähtsusega reaalajas süsteemide, servaseadmete ja privaatsust piiravate seadete jaoks.

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Allikad

  1. Gidaris, S., Bursuc, A., Komodakis, N., Perez, P., & Cord, M. (2021). OBoW: Online Bag-of-Visual-Words Generation for Self-Supervised Learning. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 6830–6840. link
  2. Fini, E., Da Costa, V. G. T., Alameda-Pineda, X., Ricci, E., Alahari, K., & Mairal, J. (2022). Self-Supervised Models are Continual Learners. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 9621–9630. link

Kuidas sellele lehele viidata

ScholarGate. (2026, June 3). Online Self-supervised Learning (Continual Self-supervised Representation Learning from Streaming Data). ScholarGate. https://scholargate.app/et/machine-learning/online-self-supervised-learning

Which method?

Set this method beside its closest kin and read them side by side — the library lays the books on the table; the choice is yours.

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ScholarGateOnline Self-supervised Learning (Online Self-supervised Learning (Continual Self-supervised Representation Learning from Streaming Data)). Loetud 2026-06-15 aadressilt https://scholargate.app/et/machine-learning/online-self-supervised-learning · Andmestik: https://doi.org/10.5281/zenodo.20539026