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MGPO: Manifold-Guided Diffusion Alignment for Task-Aware Dataset Distillation
Diffusion-based dataset distillation (DD) suffers from a fundamental objective mismatch: likelihood-driven diffusion models prioritize density approximation over the discriminative decision boundaries required for downstream tasks. Beyond semantic mismatch, relying solely on density also leads to ge
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