Corpus ID: 236447473

Nearest Neighborhood-Based Deep Clustering for Source Data-absent Unsupervised Domain Adaptation

@article{Tang2021NearestND,
  title={Nearest Neighborhood-Based Deep Clustering for Source Data-absent Unsupervised Domain Adaptation},
  author={Song Tang and Yan Yang and Zhiyuan Ma and Norman Hendrich and Fanyu Zeng and Shuzhi Sam Ge and Changshui Zhang and Jianwei Zhang},
  journal={ArXiv},
  year={2021},
  volume={abs/2107.12585}
}
In the classic setting of unsupervised domain adaptation (UDA), the labeled source data are available in the training phase. However, in many real-world scenarios, owing to some reasons such as privacy protection and information security, the source data is inaccessible, and only a model trained on the source domain is available. This paper proposes a novel deep clustering method for this challenging task. Aiming at the dynamical clustering at feature-level, we introduce extra constraints… Expand

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