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Dataset Condensation

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

Papers

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Showing 21–30 of 56 papers

TitleStatusHype
You Only Condense Once: Two Rules for Pruning Condensed DatasetsCode1
Dataset Distillation: A Comprehensive Review—0
Revisiting Permutation Symmetry for Merging Models between Different Datasets—0
DCFL: Non-IID awareness Data Condensation aided Federated Learning—0
Connect the dots: Dataset Condensation, Differential Privacy, and Adversarial Uncertainty—0
Leveraging Hierarchical Feature Sharing for Efficient Dataset Condensation—0
TF-DCon: Leveraging Large Language Models (LLMs) to Empower Training-Free Dataset Condensation for Content-Based Recommendation—0
Dataset Condensation via Generative Model—0
Towards Efficient Deep Hashing Retrieval: Condensing Your Data via Feature-Embedding Matching—0
No Free Lunch in "Privacy for Free: How does Dataset Condensation Help Privacy"—0
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