Assessing the Impact of Diversity on the Resilience of Deep Learning Ensembles: A Comparative Study on Model Architecture, Output, Activation, and Attribution

Rafael Rosales, Pablo Munoz, Michael Paulitsch. Assessing the Impact of Diversity on the Resilience of Deep Learning Ensembles: A Comparative Study on Model Architecture, Output, Activation, and Attribution. In IEEE/CVF International Conference on Computer Vision, ICCV 2023 - Workshops, Paris, France, October 2-6, 2023. pages 4408-4418, IEEE, 2023. [doi]

@inproceedings{RosalesMP23,
  title = {Assessing the Impact of Diversity on the Resilience of Deep Learning Ensembles: A Comparative Study on Model Architecture, Output, Activation, and Attribution},
  author = {Rafael Rosales and Pablo Munoz and Michael Paulitsch},
  year = {2023},
  doi = {10.1109/ICCVW60793.2023.00475},
  url = {https://doi.org/10.1109/ICCVW60793.2023.00475},
  researchr = {https://researchr.org/publication/RosalesMP23},
  cites = {0},
  citedby = {0},
  pages = {4408-4418},
  booktitle = {IEEE/CVF International Conference on Computer Vision, ICCV 2023 - Workshops, Paris, France, October 2-6, 2023},
  publisher = {IEEE},
  isbn = {979-8-3503-0744-3},
}