Few Labeled Samples Steer Generative Models to Target Regions
Gábor Sár explains that instead of fitting all unlabeled data, a few labeled samples combined with discriminative training can steer generative models to cover regions of interest while ignoring irrelevant data.
2026-11-08 ~ 2026-11-08 · 2 related posts
- A few labeled examples can steer generative models to cover regions of interest and skip the rest — caglar_ee · 2026-11-08
- Discriminative training lets a few labeled examples steer generative models to target regions — caglar_ee · 2026-11-08