Mitigating Bias: Model Pruning for Enhanced Model Fairness and Efficiency

Harsh Kasyap, Ugur-Ilker Atmaca, Michela Iezzi, Toby Walsh, Carsten Maple. Mitigating Bias: Model Pruning for Enhanced Model Fairness and Efficiency. In Ulle Endriss, Francisco S. Melo, Kerstin Bach, Alberto José Bugarín Diz, Jose Maria Alonso-Moral, Senén Barro, Fredrik Heintz, editors, ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain - Including 13th Conference on Prestigious Applications of Intelligent Systems (PAIS 2024). Volume 392 of Frontiers in Artificial Intelligence and Applications, pages 995-1002, IOS Press, 2024. [doi]

@inproceedings{KasyapAIWM24,
  title = {Mitigating Bias: Model Pruning for Enhanced Model Fairness and Efficiency},
  author = {Harsh Kasyap and Ugur-Ilker Atmaca and Michela Iezzi and Toby Walsh and Carsten Maple},
  year = {2024},
  doi = {10.3233/FAIA240589},
  url = {https://doi.org/10.3233/FAIA240589},
  researchr = {https://researchr.org/publication/KasyapAIWM24},
  cites = {0},
  citedby = {0},
  pages = {995-1002},
  booktitle = {ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain - Including 13th Conference on Prestigious Applications of Intelligent Systems (PAIS 2024)},
  editor = {Ulle Endriss and Francisco S. Melo and Kerstin Bach and Alberto José Bugarín Diz and Jose Maria Alonso-Moral and Senén Barro and Fredrik Heintz},
  volume = {392},
  series = {Frontiers in Artificial Intelligence and Applications},
  publisher = {IOS Press},
  isbn = {978-1-64368-548-9},
}