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Too much of a good thing -- when knowledge distillation promotes overfitting, and how to avoid it

This story is from 2026-08-26. It is preserved in the archive; the latest stories are on the live feed.

arXiv:2608.23752v1 Announce Type: new Abstract: The growing size of Convolutional Neural Networks has led to increasingly large and costly models. Knowledge Distillation (KD) addresses this by transferring knowledge from a large network (teacher) to a small one (student), also reducing the training…

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  1. 2026-08-26 04:00 · arXiv cs.CV
    Too much of a good thing -- when knowledge distillation promotes overfitting, and how to avoid it

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