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Dataset Condensation

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

Papers

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Showing 1–25 of 56 papers

TitleStatusHype
Diffusion Dataset Condensation: Training Your Diffusion Model Faster with Less Data—0
Video Dataset Condensation with Diffusion Models—0
SCORE: Soft Label Compression-Centric Dataset Condensation via Coding Rate Optimization—0
Enhancing Generalization via Sharpness-Aware Trajectory Matching for Dataset Condensation—0
A Large-Scale Study on Video Action Dataset CondensationCode1
Bi-Directional Multi-Scale Graph Dataset Condensation via Information BottleneckCode0
Decomposed Distribution Matching in Dataset CondensationCode0
Diffusion-Augmented Coreset Expansion for Scalable Dataset Distillation—0
Towards Model-Agnostic Dataset Condensation by Heterogeneous ModelsCode1
Dataset Condensation with Latent Quantile Matching—0
Mitigating Bias in Dataset Distillation—0
CondTSF: One-line Plugin of Dataset Condensation for Time Series ForecastingCode1
DANCE: Dual-View Distribution Alignment for Dataset CondensationCode0
Calibrated Dataset Condensation for Faster Hyperparameter Search—0
Spectral Greedy Coresets for Graph Neural Networks—0
Koopcon: A new approach towards smarter and less complex learning—0
Elucidating the Design Space of Dataset CondensationCode1
Distilling Datasets Into Less Than One ImageCode1
Dataset Condensation for Time Series Classification via Dual Domain MatchingCode1
Multisize Dataset CondensationCode1
Connect the dots: Dataset Condensation, Differential Privacy, and Adversarial Uncertainty—0
Is Adversarial Training with Compressed Datasets Effective?Code0
Dataset Condensation Driven Machine UnlearningCode0
M3D: Dataset Condensation by Minimizing Maximum Mean DiscrepancyCode1
DCFL: Non-IID awareness Data Condensation aided Federated Learning—0
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