Reducing Bias in Pre-Trained Models by Tuning While Penalizing Change

Niklas Penzel, Gideon Stein, Joachim Denzler. Reducing Bias in Pre-Trained Models by Tuning While Penalizing Change. In Petia Radeva, Antonino Furnari, Kadi Bouatouch, A. Augusto de Sousa, editors, Proceedings of the 19th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, VISIGRAPP 2024, Volume 2: VISAPP, Rome, Italy, February 27-29, 2024. pages 90-101, SCITEPRESS, 2024. [doi]

@inproceedings{PenzelSD24,
  title = {Reducing Bias in Pre-Trained Models by Tuning While Penalizing Change},
  author = {Niklas Penzel and Gideon Stein and Joachim Denzler},
  year = {2024},
  doi = {10.5220/0012345800003660},
  url = {https://doi.org/10.5220/0012345800003660},
  researchr = {https://researchr.org/publication/PenzelSD24},
  cites = {0},
  citedby = {0},
  pages = {90-101},
  booktitle = {Proceedings of the 19th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, VISIGRAPP 2024, Volume 2: VISAPP, Rome, Italy, February 27-29, 2024},
  editor = {Petia Radeva and Antonino Furnari and Kadi Bouatouch and A. Augusto de Sousa},
  publisher = {SCITEPRESS},
  isbn = {978-989-758-679-8},
}