Layer-wise domain correction for unsupervised domain adaptation

@article{Li2018LayerwiseDC,
  title={Layer-wise domain correction for unsupervised domain adaptation},
  author={Shuang Li and Shiji Song and Cheng Wu},
  journal={Frontiers of Information Technology & Electronic Engineering},
  year={2018},
  volume={19},
  pages={91-103}
}
Deep neural networks have been successfully applied to numerous machine learning tasks because of their impressive feature abstraction capabilities. However, conventional deep networks assume that the training and test data are sampled from the same distribution, and this assumption is often violated in real-world scenarios. To address the domain shift or… CONTINUE READING