Model Zoo: A Growing “Brain” that Learns Continually
This work shows that machine learning models benefit from splitting their learning capacity when tackling multiple tasks. To this end, we propose Model Zoo: an algorithm that trains on related subsets of tasks using an algorithm inspired by boosting. Read more here!
To read the full paper, see here