AdaptMatch: Adaptive Consistency Regularization for Semi-supervised Learning with Top-k Pseudo-labeling and Contrastive Learning

Nan Yang, Fan Huang, Dong Yuan. AdaptMatch: Adaptive Consistency Regularization for Semi-supervised Learning with Top-k Pseudo-labeling and Contrastive Learning. In Tongliang Liu, Geoffrey I. Webb, Lin Yue, Dadong Wang, editors, AI 2023: Advances in Artificial Intelligence - 36th Australasian Joint Conference on Artificial Intelligence, AI 2023, Brisbane, QLD, Australia, November 28 - December 1, 2023, Proceedings, Part I. Volume 14471 of Lecture Notes in Computer Science, pages 227-238, Springer, 2023. [doi]

@inproceedings{YangHY23-3,
  title = {AdaptMatch: Adaptive Consistency Regularization for Semi-supervised Learning with Top-k Pseudo-labeling and Contrastive Learning},
  author = {Nan Yang and Fan Huang and Dong Yuan},
  year = {2023},
  doi = {10.1007/978-981-99-8388-9_19},
  url = {https://doi.org/10.1007/978-981-99-8388-9_19},
  researchr = {https://researchr.org/publication/YangHY23-3},
  cites = {0},
  citedby = {0},
  pages = {227-238},
  booktitle = {AI 2023: Advances in Artificial Intelligence - 36th Australasian Joint Conference on Artificial Intelligence, AI 2023, Brisbane, QLD, Australia, November 28 - December 1, 2023, Proceedings, Part I},
  editor = {Tongliang Liu and Geoffrey I. Webb and Lin Yue and Dadong Wang},
  volume = {14471},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-981-99-8388-9},
}