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cs.LG2026
TabSwift: An Efficient Tabular Foundation Model with Row-Wise Attention
Si-Yang Liu, Han-Jia Ye
Tabular foundation models, exemplified by TabPFN, perform prediction via in-context learning, inferring test labels directly from labeled training examples. They have demonstrated…
cs.LG2018
Open Category Detection with PAC Guarantees
Si Liu, Risheek Garrepalli, Thomas G. Dietterich +2
Open category detection is the problem of detecting "alien" test instances that belong to categories or classes that were not present in the training data. In many applications, re…