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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
Generalized Large-Scale Data Condensation via Various Backbone and Statistical MatchingCode1
Towards Model-Agnostic Dataset Condensation by Heterogeneous ModelsCode1
M3D: Dataset Condensation by Minimizing Maximum Mean DiscrepancyCode1
Condensing Graphs via One-Step Gradient MatchingCode1
Distilling Datasets Into Less Than One ImageCode1
Elucidating the Design Space of Dataset CondensationCode1
Multisize Dataset CondensationCode1
Synthesizing Informative Training Samples with GANCode1
Efficient Dataset Distillation Using Random Feature ApproximationCode1
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
Improved Distribution Matching for Dataset CondensationCode1
Squeeze, Recover and Relabel: Dataset Condensation at ImageNet Scale From A New PerspectiveCode1
Dataset Condensation via Generative Model—0
DCFL: Non-IID awareness Data Condensation aided Federated Learning—0
Mitigating Bias in Dataset Distillation—0
Dataset Distillation: A Comprehensive Review—0
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