Learning to learn without forgetting: a summary

Bullet-point form summary of this excellent paper. Contributions include a memory store of past examples; balances learning of new updates with recall of these stored examples; continual (online) learning in supervised and reinforcement learning settings.
machine learning
Author

Lara Thompson

Published

August 28, 2019

Matthew Riemer et. al. Learning to Learn Without Forgetting by Maximizing Transfer and Minimizing Interference. ICLR, 2019.