AI RESEARCH
SAS: Semantic-aware Sampling for Generative Dataset Distillation
arXiv CS.LG
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ArXi:2605.18012v1 Announce Type: cross Deep neural networks have achieved impressive performance across a wide range of tasks, but this success often comes with substantial computational and storage costs due to large-scale