Model Adaptation: Historical Contrastive Learning for Unsupervised Domain Adaptation without Source Data

Jiaxing Huang 0001, Dayan Guan, Aoran Xiao, Shijian Lu. Model Adaptation: Historical Contrastive Learning for Unsupervised Domain Adaptation without Source Data. In Marc'Aurelio Ranzato, Alina Beygelzimer, Yann N. Dauphin, Percy Liang, Jennifer Wortman Vaughan, editors, Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, NeurIPS 2021, December 6-14, 2021, virtual. pages 3635-3649, 2021. [doi]

@inproceedings{HuangGXL21,
  title = {Model Adaptation: Historical Contrastive Learning for Unsupervised Domain Adaptation without Source Data},
  author = {Jiaxing Huang 0001 and Dayan Guan and Aoran Xiao and Shijian Lu},
  year = {2021},
  url = {https://proceedings.neurips.cc/paper/2021/hash/1dba5eed8838571e1c80af145184e515-Abstract.html},
  researchr = {https://researchr.org/publication/HuangGXL21},
  cites = {0},
  citedby = {0},
  pages = {3635-3649},
  booktitle = {Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, NeurIPS 2021, December 6-14, 2021, virtual},
  editor = {Marc'Aurelio Ranzato and Alina Beygelzimer and Yann N. Dauphin and Percy Liang and Jennifer Wortman Vaughan},
}