arXiv:2209.14609
Dataset Distillation Using Parameter Pruning
원문 초록
In this study, we propose a novel dataset distillation method based on parameter pruning. The proposed method can synthesize more robust distilled datasets and improve distillation performance by pruning difficult-to-match parameters during the distillation process. Experimental results on two benchmark datasets show the superiority of the proposed method.
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Dataset distillation for memorized data: Soft labels can leak held-out teacher knowledge
Flowing Datasets with Wasserstein over Wasserstein Gradient Flows
토론
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