Fork or Fail: Cycle-Consistent Training with Many-to-One Mappings

Qipeng Guo, Zhijing Jin, Ziyu Wang 0006, Xipeng Qiu, Weinan Zhang 0001, Jun Zhu, Zheng Zhang, David Wipf. Fork or Fail: Cycle-Consistent Training with Many-to-One Mappings. In Arindam Banerjee 0001, Kenji Fukumizu, editors, The 24th International Conference on Artificial Intelligence and Statistics, AISTATS 2021, April 13-15, 2021, Virtual Event. Volume 130 of Proceedings of Machine Learning Research, pages 1828-1836, PMLR, 2021. [doi]

@inproceedings{GuoJ0Q0ZZW21,
  title = {Fork or Fail: Cycle-Consistent Training with Many-to-One Mappings},
  author = {Qipeng Guo and Zhijing Jin and Ziyu Wang 0006 and Xipeng Qiu and Weinan Zhang 0001 and Jun Zhu and Zheng Zhang and David Wipf},
  year = {2021},
  url = {http://proceedings.mlr.press/v130/guo21b.html},
  researchr = {https://researchr.org/publication/GuoJ0Q0ZZW21},
  cites = {0},
  citedby = {0},
  pages = {1828-1836},
  booktitle = {The 24th International Conference on Artificial Intelligence and Statistics, AISTATS 2021, April 13-15, 2021, Virtual Event},
  editor = {Arindam Banerjee 0001 and Kenji Fukumizu},
  volume = {130},
  series = {Proceedings of Machine Learning Research},
  publisher = {PMLR},
}