You Don't Need Aligned Representations: Knowledge Distillation via Random Prototype Spaces
arXiv:2610.37937v1 Announce Type: new Abstract: A widely held assumption in knowledge distillation is that teacher and student representations must occupy a compatible or explicitly aligned feature space. We propose RPKD (Random Prototype Knowledge Distillation), which discards this assumption by c…
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- 2026-10-30 04:00 · arXiv cs.CV
You Don't Need Aligned Representations: Knowledge Distillation via Random Prototype Spaces
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