DeepCore: A Comprehensive Library for Coreset Selection in Deep Learning

2022 article guo2022deepcore ○ Not yet verified

Authors

Chengcheng Guo, Bo Zhao, Yanbing Bai

Venue

arXiv preprint

Abstract

Comprehensive library and empirical study of coreset selection methods for deep learning, finding that random selection remains a strong baseline across many settings.

BibTeX

Local Entry

@article{guo2022deepcore,
  title = {DeepCore: A Comprehensive Library for Coreset Selection in Deep Learning},
  author = {Chengcheng Guo and Bo Zhao and Yanbing Bai},
  year = {2022},
  journal = {arXiv preprint},
  url = {https://arxiv.org/abs/2204.08499},
  abstract = {Comprehensive library and empirical study of coreset selection methods for deep learning, finding that random selection remains a strong baseline across many settings.}
}

From OPENALEX

@article{guo2022deepcore,
  title = {DeepCore: A Comprehensive Library for Coreset Selection in Deep Learning},
  author = {Chengcheng Guo and Bo Zhao and Yanbing Bai},
  year = {2022},
  journal = {Lecture notes in computer science},
  doi = {10.1007/978-3-031-12423-5_14}
}