Name: Self-Supervised Learning Lab
Author: MySimulator

Setup

Labelled examples available: 6

During pretext pretraining, the model predicts which of two rotated/shifted views came from the same underlying point cluster, using no labels at all. That pretraining shapes a representation which is then fine-tuned on just a handful of labelled points.

Result

Test accuracy—

Decision regions learned (colored = predicted class)