Generalized Jensen-Shannon Divergence Loss for Learning with Noisy Labels

Erik Englesson, Hossein Azizpour. Generalized Jensen-Shannon Divergence Loss for Learning with Noisy Labels. In Marc'Aurelio Ranzato, Alina Beygelzimer, Yann N. Dauphin, Percy Liang, Jennifer Wortman Vaughan, editors, Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, NeurIPS 2021, December 6-14, 2021, virtual. pages 30284-30297, 2021. [doi]

@inproceedings{EnglessonA21,
  title = {Generalized Jensen-Shannon Divergence Loss for Learning with Noisy Labels},
  author = {Erik Englesson and Hossein Azizpour},
  year = {2021},
  url = {https://proceedings.neurips.cc/paper/2021/hash/fe2d010308a6b3799a3d9c728ee74244-Abstract.html},
  researchr = {https://researchr.org/publication/EnglessonA21},
  cites = {0},
  citedby = {0},
  pages = {30284-30297},
  booktitle = {Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, NeurIPS 2021, December 6-14, 2021, virtual},
  editor = {Marc'Aurelio Ranzato and Alina Beygelzimer and Yann N. Dauphin and Percy Liang and Jennifer Wortman Vaughan},
}