arXiv Machine Learning July 15, 2026 By Jeeyung Kim, Erfan Esmaeili, Qiang Qiu

Steering Diffusion Models via Class-Contrastive Influence for Few-Shot Medical Classification

Read the original on arXiv Machine Learning →

arXiv:2607. 12464v1 Announce Type: cross Abstract: When labeled data are scarce, off-the-shelf diffusion models can augment training sets for few-shot medical image classification, but not all generated samples are equally useful for the downstream task.

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