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Dataset Distillation

Dataset distillation is the task of synthesizing a small dataset such that models trained on it achieve high performance on the original large dataset. A dataset distillation algorithm takes as input a large real dataset to be distilled (training set), and outputs a small synthetic distilled dataset, which is evaluated via testing models trained on this distilled dataset on a separate real dataset (validation/test set). A good small distilled dataset is not only useful in dataset understanding, but has various applications (e.g., continual learning, privacy, neural architecture search, etc.).

Papers

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Showing 126–150 of 216 papers

TitleStatusHype
FYI: Flip Your Images for Dataset Distillation—0
Dataset Distillation for Quantum Neural Networks—0
Generative Dataset Distillation: Balancing Global Structure and Local Details—0
Dataset Distillation for Medical Dataset Sharing—0
Generative Dataset Distillation Based on Self-knowledge Distillation—0
Generative Dataset Distillation using Min-Max Diffusion Model—0
Dataset Distillation for Histopathology Image Classification—0
Towards Stable and Storage-efficient Dataset Distillation: Matching Convexified Trajectory—0
Understanding Reconstruction Attacks with the Neural Tangent Kernel and Dataset Distillation—0
Heavy Labels Out! Dataset Distillation with Label Space Lightening—0
Hierarchical Features Matter: A Deep Exploration of GAN Priors for Improved Dataset Distillation—0
Hierarchical Features Matter: A Deep Exploration of Progressive Parameterization Method for Dataset Distillation—0
Hyperbolic Dataset Distillation—0
Image Dataset Compression Based on Matrix Product States—0
A Continual and Incremental Learning Approach for TinyML On-device Training Using Dataset Distillation and Model Size Adaption—0
Importance-Aware Adaptive Dataset Distillation—0
Dataset Distillation-based Hybrid Federated Learning on Non-IID Data—0
Dataset Distillation as Pushforward Optimal Quantization—0
Information-Guided Diffusion Sampling for Dataset Distillation—0
Knowledge Distillation and Dataset Distillation of Large Language Models: Emerging Trends, Challenges, and Future Directions—0
Knowledge Hierarchy Guided Biological-Medical Dataset Distillation for Domain LLM Training—0
Label-Augmented Dataset Distillation—0
Dataset Distillation: A Comprehensive Review—0
Latent Dataset Distillation with Diffusion Models—0
Latent Video Dataset Distillation—0
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