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Uncertainty-Aware Learning from Multi-Expert Interval Targets

arXiv:2610.00102v1 Announce Type: new Abstract: Many machine learning (ML) applications rely on expert labels, and qualified experts may provide different but plausible interpretations of the same observation. Such variation across expert labels may reflect genuine disagreement or ambiguity rather…

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  1. 2026-10-02 04:00 · arXiv cs.LG
    Uncertainty-Aware Learning from Multi-Expert Interval Targets

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