Team

Niklas Penzel, Paul Bodesheim

Motivation

Incremental learning refers to updating the parameters of a recognition model with additional (labeled) training data instead of training a new model from scratch with the extended set of training samples. It is also called continuous learning and is highly relevant for applications in which a stream of incoming data (structured in data chunks called experiences) is available and should be exploited for further improving the trained models. It is an important aspect for lifelong learning.