2 papers
cs.LG2025
Graph Unlearning Meets Influence-aware Negative Preference Optimization
Qiang Chen, Zhongze Wu, Ang He +6
Recent advancements in graph unlearning models have enhanced model utility by preserving the node representation essentially invariant, while using gradient ascent on the forget se…
cs.CV2024
MetaDD: Boosting Dataset Distillation with Neural Network Architecture-Invariant Generalization
Yunlong Zhao, Xiaoheng Deng, Xiu Su +4
Dataset distillation (DD) entails creating a refined, compact distilled dataset from a large-scale dataset to facilitate efficient training. A significant challenge in DD is the de…