Alternative methods for quantifying the distance between tasks can be applied more easily. Some of these methods rely on the model architecture for learning a task embedding (i.e., continuous representation of a task) and subsequently quantifying task relations (based on the distance in the continuous space, such as Euclidean distance between tasks embedding).