A Scaling Law for Syn2real Transfer: How Much Is Your Pre-training Effective?

Hiroaki Mikami, Kenji Fukumizu, Shogo Murai, Shuji Suzuki, Yuta Kikuchi, Taiji Suzuki, Shin-ichi Maeda, Kohei Hayashi. A Scaling Law for Syn2real Transfer: How Much Is Your Pre-training Effective?. In Massih-Reza Amini, Stéphane Canu, Asja Fischer, Tias Guns, Petra Kralj Novak, Grigorios Tsoumakas, editors, Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2022, Grenoble, France, September 19-23, 2022, Proceedings, Part III. Volume 13715 of Lecture Notes in Computer Science, pages 477-492, Springer, 2022. [doi]

@inproceedings{MikamiFMSKSMH22,
  title = {A Scaling Law for Syn2real Transfer: How Much Is Your Pre-training Effective?},
  author = {Hiroaki Mikami and Kenji Fukumizu and Shogo Murai and Shuji Suzuki and Yuta Kikuchi and Taiji Suzuki and Shin-ichi Maeda and Kohei Hayashi},
  year = {2022},
  doi = {10.1007/978-3-031-26409-2_29},
  url = {https://doi.org/10.1007/978-3-031-26409-2_29},
  researchr = {https://researchr.org/publication/MikamiFMSKSMH22},
  cites = {0},
  citedby = {0},
  pages = {477-492},
  booktitle = {Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2022, Grenoble, France, September 19-23, 2022, Proceedings, Part III},
  editor = {Massih-Reza Amini and Stéphane Canu and Asja Fischer and Tias Guns and Petra Kralj Novak and Grigorios Tsoumakas},
  volume = {13715},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-031-26409-2},
}