2018
Explicit Inductive Bias for Transfer Learning with Convolutional Networks
ICML 2018oral
In inductive transfer learning, fine-tuning pre-trained convolutional networks substantially outperforms training from scratch. When using fine-tuning, the underlying assumption is that the pre-trained model extracts generic features, which are at least partially relevant for solving the target task…