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Generalized context in cross attention for transfer learning of disjoint tabular data.
Unlike images and text, transfer learning on tabular data is challenging due to heterogeneity in feature types, structures, and semantics across disparate domains. Existing methods assume shared features across data tables to enable knowledge transfer between domains, which is unrealistic in practic
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