Open Internet by MindsNet

Overcoming Catastrophic Forgetting in Continual Learning

Continual learning faces a significant challenge in achieving stability-plasticity tradeoff without exhibiting catastrophic forgetting. The main issue revolves around where and how memory should be integrated to enable continuous improvement in models. Current solutions have limitations, including reliance on external memory files, vector databases, or graph structures that may not fully address the problem.

Computing & Technology, Computer Science, Machine Learning