Keeping Deep Learning Models in Check: A History-Based Approach to Mitigate Overfitting. Li, H., Rajbahadur, G. K., Lin, D., Bezemer, C., & Jiang, Z. M. CoRR, 2024. Paper doi bibtex @article{DBLP:journals/corr/abs-2401-10359,
author = {Hao Li and
Gopi Krishnan Rajbahadur and
Dayi Lin and
Cor{-}Paul Bezemer and
Zhen Ming Jiang},
title = {Keeping Deep Learning Models in Check: {A} History-Based Approach
to Mitigate Overfitting},
journal = {CoRR},
volume = {abs/2401.10359},
year = {2024},
url = {https://doi.org/10.48550/arXiv.2401.10359},
doi = {10.48550/ARXIV.2401.10359},
eprinttype = {arXiv},
eprint = {2401.10359},
timestamp = {Fri, 02 Feb 2024 00:00:00 +0100},
biburl = {https://dblp.org/rec/journals/corr/abs-2401-10359.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
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