2 papers
cs.LG2026
TabKD: Tabular Knowledge Distillation through Interaction Diversity of Learned Feature Bins
Shovon Niverd Pereira, Krishna Khadka, Yu Lei
Data-free knowledge distillation enables model compression without original training data, critical for privacy-sensitive tabular domains. However, existing methods does not perfor…
cs.LG2025
ABLE: Using Adversarial Pairs to Construct Local Models for Explaining Model Predictions
Krishna Khadka, Sunny Shree, Pujan Budhathoki +3
Machine learning models are increasingly used in critical applications but are mostly "black boxes" due to their lack of transparency. Local explanation approaches, such as LIME, a…