SOTAVerified

Dataset Condensation

Condense the full dataset into a tiny set of synthetic data.

Papers

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Showing 31–40 of 56 papers

TitleStatusHype
Enhancing Generalization via Sharpness-Aware Trajectory Matching for Dataset Condensation—0
No Free Lunch in "Privacy for Free: How does Dataset Condensation Help Privacy"—0
Revisiting Permutation Symmetry for Merging Models between Different Datasets—0
Dataset Condensation with Latent Quantile Matching—0
When less is more: Simplifying inputs aids neural network understanding—0
Video Dataset Condensation with Diffusion Models—0
DCFL: Non-IID awareness Data Condensation aided Federated Learning—0
Diffusion-Augmented Coreset Expansion for Scalable Dataset Distillation—0
Diffusion Dataset Condensation: Training Your Diffusion Model Faster with Less Data—0
Calibrated Dataset Condensation for Faster Hyperparameter Search—0
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