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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
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
Privacy for Free: How does Dataset Condensation Help Privacy?—0
Dataset Condensation with Latent Quantile Matching—0
Dataset Condensation with Latent Space Knowledge Factorization and Sharing—0
Delving into Effective Gradient Matching for Dataset Condensation—0
Diffusion-Augmented Coreset Expansion for Scalable Dataset Distillation—0
Diffusion Dataset Condensation: Training Your Diffusion Model Faster with Less Data—0
Robustness-preserving Lifelong Learning via Dataset Condensation—0
SCORE: Soft Label Compression-Centric Dataset Condensation via Coding Rate Optimization—0
Slimmable Dataset Condensation—0
Spectral Greedy Coresets for Graph Neural Networks—0
Enhancing Generalization via Sharpness-Aware Trajectory Matching for Dataset Condensation—0
When less is more: Simplifying inputs aids neural network understanding—0
Video Dataset Condensation with Diffusion Models—0
Mitigating Bias in Dataset Distillation—0
Calibrated Dataset Condensation for Faster Hyperparameter Search—0
Medical records condensation: a roadmap towards healthcare data democratisation—0
Koopcon: A new approach towards smarter and less complex learning—0
Decomposed Distribution Matching in Dataset CondensationCode0
Fast Graph Condensation with Structure-based Neural Tangent KernelCode0
Dataset Condensation for RecommendationCode0
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