Reusing Pretrained Models by Multi-linear Operators for Efficient Training

Yu Pan 0005, Ye Yuan, Yichun Yin, Zenglin Xu, Lifeng Shang, Xin Jiang, Qun Liu. Reusing Pretrained Models by Multi-linear Operators for Efficient Training. In Alice Oh, Tristan Naumann, Amir Globerson, Kate Saenko, Moritz Hardt, Sergey Levine, editors, Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, NeurIPS 2023, New Orleans, LA, USA, December 10 - 16, 2023. 2023. [doi]

@inproceedings{0005YYXSJL23,
  title = {Reusing Pretrained Models by Multi-linear Operators for Efficient Training},
  author = {Yu Pan 0005 and Ye Yuan and Yichun Yin and Zenglin Xu and Lifeng Shang and Xin Jiang and Qun Liu},
  year = {2023},
  url = {http://papers.nips.cc/paper_files/paper/2023/hash/09d9a13f7018110cfb439c06b07940a2-Abstract-Conference.html},
  researchr = {https://researchr.org/publication/0005YYXSJL23},
  cites = {0},
  citedby = {0},
  booktitle = {Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, NeurIPS 2023, New Orleans, LA, USA, December 10 - 16, 2023},
  editor = {Alice Oh and Tristan Naumann and Amir Globerson and Kate Saenko and Moritz Hardt and Sergey Levine},
}