transfer learning

https://github.com/jindongwang/transferlearning

 

ftp://ftp.cs.wisc.edu/machine-learning/shavlik-group/torrey.handbook09.pdf

https://arxiv.org/pdf/1411.1792.pdf

https://cs231n.github.io/transfer-learning/

 

• CNN Features off-the-shelf: an Astounding Baseline for Recognition trains SVMs on features from ImageNet-pretrained ConvNet and reports several state of the art results.
• DeCAF reported similar findings in 2013. The framework in this paper (DeCAF) was a Python-based precursor to the C++ Caffe library.
• How transferable are features in deep neural networks? studies the transfer learning performance in detail, including some unintuitive findings about layer co-adaptations.

 

Books

• Deep Learning, 2016.
• Neural Network Methods in Natural Language Processing, 2017.

Papers

• A survey on transfer learning, 2010.
• Chapter 11: Transfer Learning, Handbook of Research on Machine Learning Applications, 2009.
• How transferable are features in deep neural networks?

Pre-trained Models

• Oxford VGG Model
• Google Inception Model
• Microsoft ResNet Model
• Google’s word2vec Model
• Stanford’s GloVe Model
• Caffe Model Zoo

Articles

• Transfer learning on Wikipedia
• Transfer Learning – Machine Learning’s Next Frontier, 2017.
• Transfer Learning, CS231n Convolutional Neural Networks for Visual Recognition
• How does transfer learning work? on Quora