Learning Transferable Features with Deep Adaptation Networks

  title={Learning Transferable Features with Deep Adaptation Networks},
  author={Mingsheng Long and Yue Cao and Jianmin Wang and Michael I. Jordan},
Recent studies reveal that a deep neural network can learn transferable features which generalize well to novel tasks for domain adaptation. However, as deep features eventually transition from general to specific along the network, the feature transferability drops significantly in higher layers with increasing domain discrepancy. Hence, it is critical to… CONTINUE READING



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