Adaptive Transfer Learning

  title={Adaptive Transfer Learning},
  author={Bin Cao and Sinno Jialin Pan and Yu Zhang and Dit-Yan Yeung and Qiang Yang},
Transfer learning aims at reusing the knowledge in some source tasks to improve the learning of a target task. Many transfer learning methods assume that the source tasks and the target task be related, even though many tasks are not related in reality. However, when two tasks are unrelated, the knowledge extracted from a source task may not help, and even hurt, the performance of a target task. Thus, how to avoid negative transfer and then ensure a “safe transfer” of knowledge is crucial in… CONTINUE READING
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