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Deep Representation Learning for Multi-functional Degradation Modeling of Community-dwelling Aging Population
As the aging population grows, particularly for the baby boomer generation, the United States is witnessing a significant increase in the elderly population experiencing multifunctional disabilities.
ReConTab: Regularized Contrastive Representation Learning for Tabular Data
In response to this challenge, we introduce ReConTab, a deep automatic representation learning framework with regularized contrastive learning.
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