Uncertainty‑guided distillation improves student efficiency
This story is from 2026-08-23. It is preserved in the archive; the latest stories are on the live feed.
High‑uncertainty positions are the blind spot that lets dense teacher supervision waste effort. SPOT flips the script by probing exactly those spots and calibrating targets to downstream outcomes, turning uncertainty into a guide rather than noise. Standard on‑policy distillation treats every token…
Read the full story at DEV Community — Machine Learning ↗
Timeline · 1 report
- 2026-08-23 05:00 · DEV Community — Machine Learning
Uncertainty‑guided distillation improves student efficiency