Generalized Context in Cross Attention for Transfer Learning of Disjoint Tabular Data
The experiments show that CATTLE can learn generalized context from a single source data set and is rank-wise and statistically superior to nine state-of-the-art baselines, including machine learning, deep learning, and transfer learning methods using large-scale pre-trained models.
K. F. Akhter, Ibna Kowsar, Manar D. Samad
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