Glossary › forgetting
GLOSSARY
forgetting
appears in 1 paper titles
Definition
Forgetting is the loss of previously learned capability caused by subsequent training. Mechanically it is overwriting: the weights that encoded the old task get reshaped by gradients from the new one. It is the central obstacle in continual learning, and the reason fine-tuning a deployed model can quietly degrade behavior nobody thought to retest. Unlike human forgetting it is not driven by elapsed time — an untouched checkpoint forgets nothing.
Explainers using this term
- Continual Learning and Catastrophic Forgetting — Why Models Can't Just Keep LearningOvercoming catastrophic forgetting in neural networks