![Model Zoo: A Growing “Brain” that Learns Continually](https://www.grasp.upenn.edu/wp-content/uploads/2022/06/building_the_model_zoo2.png)
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
![Model Zoo: A Growing “Brain” that Learns Continually](https://www.grasp.upenn.edu/wp-content/uploads/2022/06/building_the_model_zoo2.png)