2017
Risk Bounds for Transferring Representations With and Without Fine-Tuning
ICML 2017poster
A popular machine learning strategy is the transfer of a representation (i.e. a feature extraction function) learned on a source task to a target task. Examples include the re-use of neural network weights or word embeddings. We develop sufficient conditions for the success of this approach. If the…