Learning to cluster in order to transfer across domains and tasks

ICLR 2018 Yen-Chang HsuZhaoyang LvZsolt Kira

This paper introduces a novel method to perform transfer learning across domains and tasks, formulating it as a problem of learning to cluster. The key insight is that, in addition to features, we can transfer similarity information and this is sufficient to learn a similarity function and clustering network to perform both domain adaptation and cross-task transfer learning... (read more)

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