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Andalusian Research Institute in Data Science and Computational Intelligence (DaSCI, Department of Computer Science and Artificial Intelligence (DECSAI), Research Center in Information and Communication Technologies (CITIC), University of Granada
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Tabular foundation models learn better from labels selected using the model's *own* unsupervised embeddings than from labels chosen based on raw feature distances.