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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
A Large-Scale Study on Video Action Dataset CondensationCode1
Towards Model-Agnostic Dataset Condensation by Heterogeneous ModelsCode1
CondTSF: One-line Plugin of Dataset Condensation for Time Series ForecastingCode1
Elucidating the Design Space of Dataset CondensationCode1
Distilling Datasets Into Less Than One ImageCode1
Dataset Condensation for Time Series Classification via Dual Domain MatchingCode1
Multisize Dataset CondensationCode1
M3D: Dataset Condensation by Minimizing Maximum Mean DiscrepancyCode1
Generalized Large-Scale Data Condensation via Various Backbone and Statistical MatchingCode1
You Only Condense Once: Two Rules for Pruning Condensed DatasetsCode1
Improved Distribution Matching for Dataset CondensationCode1
Squeeze, Recover and Relabel: Dataset Condensation at ImageNet Scale From A New PerspectiveCode1
Efficient Dataset Distillation Using Random Feature ApproximationCode1
DC-BENCH: Dataset Condensation BenchmarkCode1
Condensing Graphs via One-Step Gradient MatchingCode1
Dataset Condensation via Efficient Synthetic-Data ParameterizationCode1
Synthesizing Informative Training Samples with GANCode1
CAFE: Learning to Condense Dataset by Aligning FeaturesCode1
Dataset Condensation with Contrastive SignalsCode1
Dataset Condensation with Distribution MatchingCode1
Dataset Condensation with Gradient MatchingCode1
Diffusion Dataset Condensation: Training Your Diffusion Model Faster with Less Data—0
Video Dataset Condensation with Diffusion Models—0
SCORE: Soft Label Compression-Centric Dataset Condensation via Coding Rate Optimization—0
Enhancing Generalization via Sharpness-Aware Trajectory Matching for Dataset Condensation—0
Bi-Directional Multi-Scale Graph Dataset Condensation via Information BottleneckCode0
Decomposed Distribution Matching in Dataset CondensationCode0
Diffusion-Augmented Coreset Expansion for Scalable Dataset Distillation—0
Dataset Condensation with Latent Quantile Matching—0
Mitigating Bias in Dataset DistillationCode0
DANCE: Dual-View Distribution Alignment for Dataset CondensationCode0
Spectral Greedy Coresets for Graph Neural Networks—0
Calibrated Dataset Condensation for Faster Hyperparameter Search—0
Koopcon: A new approach towards smarter and less complex learning—0
Connect the dots: Dataset Condensation, Differential Privacy, and Adversarial Uncertainty—0
Is Adversarial Training with Compressed Datasets Effective?Code0
Dataset Condensation Driven Machine UnlearningCode0
DCFL: Non-IID awareness Data Condensation aided Federated Learning—0
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
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
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