A Survey on Computational Intelligence-based Transfer Learning

@article{Zamini2022ASO,
  title={A Survey on Computational Intelligence-based Transfer Learning},
  author={Mohamad Zamini and Eunjin Kim},
  journal={ArXiv},
  year={2022},
  volume={abs/2206.10593}
}
The goal of transfer learning (TL) is providing a framework for exploiting acquired knowledge from source to target data. Transfer learning approaches compared to traditional machine learning approaches are capable of modeling better data patterns from the current domain. However, vanilla TL needs performance improvements by using computational intelligencebased TL. This paper studies computational intelligence-based transfer learning techniques and categorizes them into neural network-based… 

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