Shovon Niverd Pereira

TabKD: Tabular Knowledge Distillation Through Interaction Diversity of Learned Feature Bins

Data-free knowledge distillation enables model compression without original training data, criti- cal for privacy-sensitive tabular domains. How- ever, existing methods fail on tabular data because they ignore feature interactions, the fundamen- tal way tabular models encode predictive knowl- edge.