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Ehsan Amjadian

2 accepted papers

2024

Data-to-Model Distillation: Data-Efficient Learning Framework

ECCV 2024poster

"Dataset distillation aims to distill the knowledge of a large-scale real dataset into small yet informative synthetic data such that a model trained on it performs as well as a model trained on the full dataset. Despite recent progress, existing dataset distillation methods often struggle with comp…

2023

DataDAM: Efficient Dataset Distillation with Attention Matching

ICCV 2023poster

Researchers have long tried to minimize training costs in deep learning while maintaining strong generalization across diverse datasets. Emerging research on dataset distillation aims to reduce training costs by creating a small synthetic set that contains the information of a larger real dataset an…

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