Catastrophic interference (neural networks)
Catastrophic interference refers to the problem in neural networks where learning new information leads to the loss of previously learned knowledge.
continual learning
Continual learning
Continual learning is an area of machine learning focused on enabling models to learn continuously from data streams without forgetting previously acquired knowledge. It addresses challenges such as catastrophic forgetting and aims to create adaptive systems capable of lifelong learning.