Eibe Frank

Efficiently correcting machine learning: considering the role of example ordering in human-in-the-loop training of image classification models

Arguably the most popular application task in artificial intelligence is image classification using transfer learning. Transfer learning enables models pre-trained on general classes of images, available in large numbers, to be refined for a specific application. This enables domain experts with their own---generally,…