Proceedings of the IEEE· 2020Q1
A Comprehensive Survey on Transfer Learning
- 6,247citations
- Q1SCImago
- 2020year
Short summary
This survey systematically reviews over 40 transfer learning approaches, particularly homogeneous methods, from data and model perspectives, and experimentally evaluates over 20 representative models on three datasets (Amazon Reviews, Reuters-21578, Office-31) to demonstrate the impact of model selection.
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Artificial IntelligenceComputer Science