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Dataset Condensation

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

Papers

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Showing 1–50 of 56 papers

TitleStatusHype
Multisize Dataset CondensationCode1
CAFE: Learning to Condense Dataset by Aligning FeaturesCode1
Condensing Graphs via One-Step Gradient MatchingCode1
CondTSF: One-line Plugin of Dataset Condensation for Time Series ForecastingCode1
Dataset Condensation for Time Series Classification via Dual Domain MatchingCode1
Dataset Condensation via Efficient Synthetic-Data ParameterizationCode1
Dataset Condensation with Contrastive SignalsCode1
Dataset Condensation with Distribution MatchingCode1
Dataset Condensation with Gradient MatchingCode1
DC-BENCH: Dataset Condensation BenchmarkCode1
Distilling Datasets Into Less Than One ImageCode1
M3D: Dataset Condensation by Minimizing Maximum Mean DiscrepancyCode1
Efficient Dataset Distillation Using Random Feature ApproximationCode1
Elucidating the Design Space of Dataset CondensationCode1
Generalized Large-Scale Data Condensation via Various Backbone and Statistical MatchingCode1
Improved Distribution Matching for Dataset CondensationCode1
A Large-Scale Study on Video Action Dataset CondensationCode1
Squeeze, Recover and Relabel: Dataset Condensation at ImageNet Scale From A New PerspectiveCode1
Synthesizing Informative Training Samples with GANCode1
Towards Model-Agnostic Dataset Condensation by Heterogeneous ModelsCode1
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
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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