Machine learningMachine learning

Samostalno učenje

Samostalno učenje (SSL) je paradigma mašinskog učenja koja generiše sopstveni nadzorni signal direktno iz nenadgledanih podataka definisanjem pomoćnog pretekstualnog zadatka — kao što je predviđanje maskiranih reči, rotiranje slika ili kontrastiranje poboljšanih prikaza — i koristi naučene reprezentacije kao moćnu početnu tačku za nizvodne zadatke sa minimalnim označenim primerima.

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Method map

The neighbourhood of related methods — select a node to explore.

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Izvori

  1. LeCun, Y. & Misra, I. (2022). Self-supervised learning: The dark matter of intelligence. Meta AI Blog. https://ai.facebook.com/blog/self-supervised-learning-the-dark-matter-of-intelligence/ link
  2. Self-supervised learning. Wikipedia. link

Kako citirati ovu stranicu

ScholarGate. (2026, June 3). Self-supervised Learning (Pretext-task Representation Learning). ScholarGate. https://scholargate.app/sr/machine-learning/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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Citirana u

ScholarGateSelf-supervised Learning (Self-supervised Learning (Pretext-task Representation Learning)). Preuzeto 2026-06-15 sa https://scholargate.app/sr/machine-learning/self-supervised-learning · Skup podataka: https://doi.org/10.5281/zenodo.20539026