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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
You Only Condense Once: Two Rules for Pruning Condensed DatasetsCode1
DC-BENCH: Dataset Condensation BenchmarkCode1
Squeeze, Recover and Relabel: Dataset Condensation at ImageNet Scale From A New PerspectiveCode1
Towards Model-Agnostic Dataset Condensation by Heterogeneous ModelsCode1
Generalized Large-Scale Data Condensation via Various Backbone and Statistical MatchingCode1
Condensing Graphs via One-Step Gradient MatchingCode1
Elucidating the Design Space of Dataset CondensationCode1
Multisize Dataset CondensationCode1
Synthesizing Informative Training Samples with GANCode1
M3D: Dataset Condensation by Minimizing Maximum Mean DiscrepancyCode1
Improved Distribution Matching for Dataset CondensationCode1
Dataset Condensation for Time Series Classification via Dual Domain MatchingCode1
Dataset Condensation via Efficient Synthetic-Data ParameterizationCode1
CondTSF: One-line Plugin of Dataset Condensation for Time Series ForecastingCode1
Dataset Condensation with Contrastive SignalsCode1
CAFE: Learning to Condense Dataset by Aligning FeaturesCode1
Dataset Condensation with Distribution MatchingCode1
Dataset Condensation with Gradient MatchingCode1
A Large-Scale Study on Video Action Dataset CondensationCode1
Efficient Dataset Distillation Using Random Feature ApproximationCode1
Distilling Datasets Into Less Than One ImageCode1
Dataset Condensation via Generative Model—0
DCFL: Non-IID awareness Data Condensation aided Federated Learning—0
Enhancing Generalization via Sharpness-Aware Trajectory Matching for Dataset Condensation—0
Dataset Condensation with Latent Quantile Matching—0
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