Voting from Nearest Tasks: Meta-Vote Pruning of Pre-trained Models for Downstream Tasks

Haiyan Zhao, Tianyi Zhou 0001, Guodong Long, Jing Jiang 0002, Chengqi Zhang. Voting from Nearest Tasks: Meta-Vote Pruning of Pre-trained Models for Downstream Tasks. In Danai Koutra, Claudia Plant, Manuel Gomez-Rodriguez, Elena Baralis, Francesco Bonchi, editors, Machine Learning and Knowledge Discovery in Databases: Research Track - European Conference, ECML PKDD 2023, Turin, Italy, September 18-22, 2023, Proceedings, Part II. Volume 14170 of Lecture Notes in Computer Science, pages 52-68, Springer, 2023. [doi]

@inproceedings{ZhaoZLJZ23,
  title = {Voting from Nearest Tasks: Meta-Vote Pruning of Pre-trained Models for Downstream Tasks},
  author = {Haiyan Zhao and Tianyi Zhou 0001 and Guodong Long and Jing Jiang 0002 and Chengqi Zhang},
  year = {2023},
  doi = {10.1007/978-3-031-43415-0_4},
  url = {https://doi.org/10.1007/978-3-031-43415-0_4},
  researchr = {https://researchr.org/publication/ZhaoZLJZ23},
  cites = {0},
  citedby = {0},
  pages = {52-68},
  booktitle = {Machine Learning and Knowledge Discovery in Databases: Research Track - European Conference, ECML PKDD 2023, Turin, Italy, September 18-22, 2023, Proceedings, Part II},
  editor = {Danai Koutra and Claudia Plant and Manuel Gomez-Rodriguez and Elena Baralis and Francesco Bonchi},
  volume = {14170},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-031-43415-0},
}