Introduces SGR and TIAT for robust dataset distillation that suppresses noise while preserving knowledge under noisy supervision.
arXiv preprint arXiv:2502.20653 , year=
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A geometry-aware dataset condensation technique reformulates subset selection as one-sided partial optimal transport alignment plus regularization to improve diffusion model training fidelity.
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Robust Trajectory Distillation: Hybrid Reweighting Meets Teacher-Inspired Targets
Introduces SGR and TIAT for robust dataset distillation that suppresses noise while preserving knowledge under noisy supervision.
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Geometry-Aware Dataset Condensation for Diffusion Model Training
A geometry-aware dataset condensation technique reformulates subset selection as one-sided partial optimal transport alignment plus regularization to improve diffusion model training fidelity.