2026
Condensed Data Expansion Using Model Inversion for Knowledge Distillation
AAAI 2026technical
Condensed datasets offer a compact representation of larger datasets, but training models directly on them or using them to enhance model performance through knowledge distillation (KD) can result in suboptimal outcomes due to limited information. To address this, we propose a method that expands co