LUCoS replaces raw tabular geometry with unsupervised PFN latent embeddings for medoid-based context selection and ranks first on mean AUC, ACC, and F1 across 67 datasets and six budgets.
Cold PAWS: Unsupervised Class Discovery and Addressing the Cold-start Problem for Semi-supervised Learning,
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LUCoS: Latent Unsupervised Context Selection for Tabular Foundation Models
LUCoS replaces raw tabular geometry with unsupervised PFN latent embeddings for medoid-based context selection and ranks first on mean AUC, ACC, and F1 across 67 datasets and six budgets.