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The Anatomy and Boundary of Adaptation under Temporal Tabular Shift

Wang, Tianyu et al.
arXiv (All) · Papers
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artificial-intelligencemethodology
Prequential adaptation of frozen tabular foundation models under temporal drift, with each label revealed only after prediction, helps some deployments and harms others, yet current practice does not predict which. We study the sources and limits of these gains. A diagnostic anatomy attributes gains
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