Hyeseung Cho

Binning as a Pretext Task: Improving Self-Supervised Learning in Tabular Domains

The ability of deep networks to learn superior representations hinges on leveraging the proper inductive biases, considering the inherent properties of datasets. In tabular domains, it is critical to effectively handle heterogeneous features (both categorical and numerical) in a unified manner and t…