Stochastic smoothing of the top-K calibrated hinge loss for deep imbalanced classification

Camille Garcin, Maximilien Servajean, Alexis Joly, Joseph Salmon. Stochastic smoothing of the top-K calibrated hinge loss for deep imbalanced classification. In Kamalika Chaudhuri, Stefanie Jegelka, Le Song, Csaba Szepesvári, Gang Niu 0001, Sivan Sabato, editors, International Conference on Machine Learning, ICML 2022, 17-23 July 2022, Baltimore, Maryland, USA. Volume 162 of Proceedings of Machine Learning Research, pages 7208-7222, PMLR, 2022. [doi]

@inproceedings{GarcinSJS22,
  title = {Stochastic smoothing of the top-K calibrated hinge loss for deep imbalanced classification},
  author = {Camille Garcin and Maximilien Servajean and Alexis Joly and Joseph Salmon},
  year = {2022},
  url = {https://proceedings.mlr.press/v162/garcin22a.html},
  researchr = {https://researchr.org/publication/GarcinSJS22},
  cites = {0},
  citedby = {0},
  pages = {7208-7222},
  booktitle = {International Conference on Machine Learning, ICML 2022, 17-23 July 2022, Baltimore, Maryland, USA},
  editor = {Kamalika Chaudhuri and Stefanie Jegelka and Le Song and Csaba Szepesvári and Gang Niu 0001 and Sivan Sabato},
  volume = {162},
  series = {Proceedings of Machine Learning Research},
  publisher = {PMLR},
}