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Dataset Condensation

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

Papers

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Showing 26–50 of 56 papers

TitleStatusHype
Generalized Large-Scale Data Condensation via Various Backbone and Statistical MatchingCode1
You Only Condense Once: Two Rules for Pruning Condensed DatasetsCode1
Fast Graph Condensation with Structure-based Neural Tangent KernelCode0
TF-DCon: Leveraging Large Language Models (LLMs) to Empower Training-Free Dataset Condensation for Content-Based Recommendation—0
Leveraging Hierarchical Feature Sharing for Efficient Dataset Condensation—0
Dataset Condensation for RecommendationCode0
Dataset Condensation via Generative Model—0
Improved Distribution Matching for Dataset CondensationCode1
Squeeze, Recover and Relabel: Dataset Condensation at ImageNet Scale From A New PerspectiveCode1
Revisiting Permutation Symmetry for Merging Models between Different Datasets—0
Towards Efficient Deep Hashing Retrieval: Condensing Your Data via Feature-Embedding Matching—0
Medical records condensation: a roadmap towards healthcare data democratisation—0
Bayesian Pseudo-Coresets via Contrastive DivergenceCode0
Robustness-preserving Lifelong Learning via Dataset Condensation—0
Dataset Distillation: A Comprehensive ReviewCode0
Slimmable Dataset Condensation—0
Efficient Dataset Distillation Using Random Feature ApproximationCode1
No Free Lunch in "Privacy for Free: How does Dataset Condensation Help Privacy"—0
Dataset Condensation with Latent Space Knowledge Factorization and SharingCode0
Delving into Effective Gradient Matching for Dataset CondensationCode0
DC-BENCH: Dataset Condensation BenchmarkCode1
Condensing Graphs via One-Step Gradient MatchingCode1
Privacy for Free: How does Dataset Condensation Help Privacy?Code0
Dataset Condensation via Efficient Synthetic-Data ParameterizationCode1
Synthesizing Informative Training Samples with GANCode1
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