Efficient Model Selection Framework for Transfer Learning

The author presents a pragmatic framework, Fennec, that maps models and tasks into a transfer-related subspace to efficiently select pre-trained models. By considering both transfer scores and meta features, the approach achieves state-of-the-art results with minimal time complexity.