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Are We Really Doing Few-Shot Learning? A Critical Examination of Pre-Training Assumptions

This story is from 2026-09-11. It is preserved in the archive; the latest stories are on the live feed.

arXiv:2609.10851v1 Announce Type: new Abstract: Few-shot learning is commonly evaluated under protocols that pre-train a model on a large auxiliary set whose classes are disjoint from the target episodes yet drawn from the same visual domain. This paper examines whether such protocols truly reflect…

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  1. 2026-09-11 04:00 · arXiv cs.CV
    Are We Really Doing Few-Shot Learning? A Critical Examination of Pre-Training Assumptions

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