CLP-DD distills small synthetic datasets for linear probing on pre-trained models via closed-form inner solver and discriminative outer loss, matching or exceeding LGM+DSA performance at much lower cost on ImageNet-100 and ImageNet-1K.
Dataset distillation with infinitely wide convolutional networks.Advances in Neural Information Processing Systems, 34:5186–5198
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Closed-Form Linear-Probe Dataset Distillation for Pre-trained Vision Models
CLP-DD distills small synthetic datasets for linear probing on pre-trained models via closed-form inner solver and discriminative outer loss, matching or exceeding LGM+DSA performance at much lower cost on ImageNet-100 and ImageNet-1K.