Regularizing Feature Distribution Using Sliced Wasserstein Distance for Semi-supervised Learning

Jinhyung Kim, Chanho Lee, Junmo Kim. Regularizing Feature Distribution Using Sliced Wasserstein Distance for Semi-supervised Learning. In Manasawee Kaenampornpan, Rainer Malaka, Duc Dung Nguyen, Nicolas Schwind, editors, Multi-disciplinary Trends in Artificial Intelligence - 12th International Conference, MIWAI 2018, Hanoi, Vietnam, November 18-20, 2018, Proceedings. Volume 11248 of Lecture Notes in Computer Science, pages 58-68, Springer, 2018. [doi]

@inproceedings{KimLK18-11,
  title = {Regularizing Feature Distribution Using Sliced Wasserstein Distance for Semi-supervised Learning},
  author = {Jinhyung Kim and Chanho Lee and Junmo Kim},
  year = {2018},
  doi = {10.1007/978-3-030-03014-8_5},
  url = {https://doi.org/10.1007/978-3-030-03014-8_5},
  researchr = {https://researchr.org/publication/KimLK18-11},
  cites = {0},
  citedby = {0},
  pages = {58-68},
  booktitle = {Multi-disciplinary Trends in Artificial Intelligence - 12th International Conference, MIWAI 2018, Hanoi, Vietnam, November 18-20, 2018, Proceedings},
  editor = {Manasawee Kaenampornpan and Rainer Malaka and Duc Dung Nguyen and Nicolas Schwind},
  volume = {11248},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-030-03014-8},
}