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Efficient Leakage-Free Neural Architecture Search under Leave-One-Subject-Out Evaluation

This story is from 2026-09-10. It is preserved in the archive; the latest stories are on the live feed.

arXiv:2609.09433v1 Announce Type: new Abstract: Leave-One-Subject-Out (LOSO) evaluation estimates generalisation performance for subject-based classification but makes Neural Architecture Search (NAS) computationally expensive because a fully nested implementation requires N independent architectur…

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  1. 2026-09-10 04:00 · arXiv cs.LG
    Efficient Leakage-Free Neural Architecture Search under Leave-One-Subject-Out Evaluation

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