UNSEEN: Enhancing Dataset Pruning from a Generalization Perspective

Furui Xu; Shaobo Wang; Jiajun Zhang; Chenghao Sun; Haixiang Tang; Linfeng Zhang

AAAI 2026technical0 citations

UNSEEN: Enhancing Dataset Pruning from a Generalization Perspective

Furui Xu, Shaobo Wang, Jiajun Zhang, Chenghao Sun, Haixiang Tang, Linfeng Zhang

Abstract

The growing scale of datasets in deep learning has introduced significant computational challenges. Dataset pruning addresses this challenge by constructing a compact but informative coreset from the full dataset with comparable performance. Previous approaches typically establish scoring metrics based on specific criteria to identify representative samples. However, these methods predominantly rely on sample scores obtained from the model

BibTeX

@inproceedings{aaai2026_unseenenhancingd,
  title = {UNSEEN: Enhancing Dataset Pruning from a Generalization Perspective},
  author = {Furui Xu and Shaobo Wang and Jiajun Zhang and Chenghao Sun and Haixiang Tang and Linfeng Zhang},
  booktitle = {AAAI 2026},
  year = {2026}
}