Auxiliary Learning as an Asymmetric Bargaining Game

Aviv Shamsian, Aviv Navon, Neta Glazer, Kenji Kawaguchi, Gal Chechik, Ethan Fetaya. Auxiliary Learning as an Asymmetric Bargaining Game. In Andreas Krause 0001, Emma Brunskill, KyungHyun Cho, Barbara Engelhardt, Sivan Sabato, Jonathan Scarlett, editors, International Conference on Machine Learning, ICML 2023, 23-29 July 2023, Honolulu, Hawaii, USA. Volume 202 of Proceedings of Machine Learning Research, pages 30689-30705, PMLR, 2023. [doi]

@inproceedings{ShamsianNGKCF23,
  title = {Auxiliary Learning as an Asymmetric Bargaining Game},
  author = {Aviv Shamsian and Aviv Navon and Neta Glazer and Kenji Kawaguchi and Gal Chechik and Ethan Fetaya},
  year = {2023},
  url = {https://proceedings.mlr.press/v202/shamsian23a.html},
  researchr = {https://researchr.org/publication/ShamsianNGKCF23},
  cites = {0},
  citedby = {0},
  pages = {30689-30705},
  booktitle = {International Conference on Machine Learning, ICML 2023, 23-29 July 2023, Honolulu, Hawaii, USA},
  editor = {Andreas Krause 0001 and Emma Brunskill and KyungHyun Cho and Barbara Engelhardt and Sivan Sabato and Jonathan Scarlett},
  volume = {202},
  series = {Proceedings of Machine Learning Research},
  publisher = {PMLR},
}