Avoiding Catastrophic Forgetting.
Journal:
Trends in cognitive sciences
Published Date:
Jun 1, 2017
Abstract
Humans regularly perform new learning without losing memory for previous information, but neural network models suffer from the phenomenon of catastrophic forgetting in which new learning impairs prior function. A recent article presents an algorithm that spares learning at synapses important for previously learned function, reducing catastrophic forgetting.