Task Agnostic Continual Learning via Meta Learning

Xu He, Jakub Sygnowski, Alexandre Galashov +3

While neural networks are powerful function approximators, they suffer from catastrophic forgetting when the data distribution is not stationary. One particular formalism that stud…