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.
Keeping Deep Learning Models in Check: A History-Based Approach to Mitigate Overfitting [link]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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