AI RESEARCH
OxEnsemble: Fair Ensembles for Low-Data Classification
arXiv CS.CV
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ArXi:2512.09665v2 Announce Type: replace We address the problem of fair classification in settings where data is scarce and unbalanced across graphic groups. Such low-data regimes are common in domains like medical imaging, where false negatives can have fatal consequences. We propose a novel approach \emph{OxEnsemble} for efficiently