Evan Kravitz

Adversarially-Trained Deep Nets Transfer Better: Illustration on Image Classification

Transfer learning has emerged as a powerful methodology for adapting pre-trained deep neural networks on image recognition tasks to new domains. This process consists of taking a neural network pre-trained on a large feature-rich source dataset, freezing the early layers that encode essential generi…