A Survey of Recent Advances in Transfer Learning

The integration of transfer learning methods and other machine learning branches can bring a good improvement in speed and performance, it has become a good research topic in the recent years and it is necessary for researchers to understand the integration. This paper focuses on sorting and classifying the integrated results of the transfer learning and the other non-transfer machine learning, such as reinforcement leaning, lifelong learning, adversarial networks. Besides, this paper also organizes the latest work on the transitive transfer learning and categorizes the relevant applications for transfer learning.