DIVER:Diving Deeper into Distilled Data via Expressive Semantic Recovery 事件

DIVER:Diving Deeper into Distilled Data via Expressive Semantic Recovery arXiv:2605.12649v2 Announce Type: replace Abstract: 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 patterns that overfit on a prior architecture, consequently suppressing the expr