A few labeled examples can steer generative models to cover regions of interest and skip the rest
caglar_ee · x · 2026-11-08
Gábor Sár (caglaree) notes that classical unsupervised fitting of probabilistic generative models explains the entire unlabeled data without distinguishing regions of interest from irrelevant ones — but a relatively small number of labeled examples can specify which regions the model should and should not cover.
Related event: Few Labeled Samples Steer Generative Models to Target Regions(2 posts)→
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