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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
Mitigating Bias in Dataset DistillationCode0
Bi-Directional Multi-Scale Graph Dataset Condensation via Information BottleneckCode0
Is Adversarial Training with Compressed Datasets Effective?Code0
Bayesian Pseudo-Coresets via Contrastive DivergenceCode0
DANCE: Dual-View Distribution Alignment for Dataset CondensationCode0
Dataset Condensation Driven Machine UnlearningCode0
Dataset Condensation for RecommendationCode0
Dataset Condensation with Differentiable Siamese AugmentationCode0
Privacy for Free: How does Dataset Condensation Help Privacy?Code0
Dataset Distillation: A Comprehensive ReviewCode0
Video Dataset Condensation with Diffusion Models—0
No Free Lunch in "Privacy for Free: How does Dataset Condensation Help Privacy"—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
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
Connect the dots: Dataset Condensation, Differential Privacy, and Adversarial Uncertainty—0
Revisiting Permutation Symmetry for Merging Models between Different Datasets—0
DCFL: Non-IID awareness Data Condensation aided Federated Learning—0
Dataset Condensation via Generative Model—0
Towards Efficient Deep Hashing Retrieval: Condensing Your Data via Feature-Embedding Matching—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
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