2026
DIVER: Diving Deeper into Distilled Data via Expressive Semantic Recovery
ICML 2026poster
Dataset distillation aims to synthesize a compact proxy dataset that is unreadable or non-raw from the original dataset for privacy protection and highly efficient learning. However, previous approaches typically adopt a single-stage distillation paradigm, which suffers from learning specific patter…