Heterogeneous Model Reuse via Optimizing Multiparty Multiclass Margin

Xi-Zhu Wu, Song Liu, Zhi-Hua Zhou. Heterogeneous Model Reuse via Optimizing Multiparty Multiclass Margin. In Kamalika Chaudhuri, Ruslan Salakhutdinov, editors, Proceedings of the 36th International Conference on Machine Learning, ICML 2019, 9-15 June 2019, Long Beach, California, USA. Volume 97 of Proceedings of Machine Learning Research, pages 6840-6849, PMLR, 2019. [doi]

@inproceedings{WuLZ19-1,
  title = {Heterogeneous Model Reuse via Optimizing Multiparty Multiclass Margin},
  author = {Xi-Zhu Wu and Song Liu and Zhi-Hua Zhou},
  year = {2019},
  url = {http://proceedings.mlr.press/v97/wu19c.html},
  researchr = {https://researchr.org/publication/WuLZ19-1},
  cites = {0},
  citedby = {0},
  pages = {6840-6849},
  booktitle = {Proceedings of the 36th International Conference on Machine Learning, ICML 2019, 9-15 June 2019, Long Beach, California, USA},
  editor = {Kamalika Chaudhuri and Ruslan Salakhutdinov},
  volume = {97},
  series = {Proceedings of Machine Learning Research},
  publisher = {PMLR},
}