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Learning relational tabular data has gained significant attention recently, but most studies focus on single tables, overlooking the potential of cross-table learning.
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Tabm: Advancing tabular deep learning with parameter-efficient ensembling
Gorishniy, Y., Kotelnikov, A., and Babenko, A · 2025
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