self-supervised-learning-two-step-process

IN premise — entries/2026/06/21/wiki-Neural_network_28machine_learning29-chunk-4.md

Created 2026-06-21T09:55:51+00:00

Self-supervised learning generates supervisory signals from data itself via augmentation/transformation, using a two-step process: a pretext task with pseudo-labels, then supervised or unsupervised fine-tuning.