Continual Learning

Continual Learning, also known as Incremental Learning or Life-long Learning, refers to model training methods that sequentially learn multiple tasks while retaining knowledge from previous tasks. This approach involves validating the model with task identifiers (task-ids) during new task training, without accessing data from old tasks. Continual Learning aims to enhance a model's adaptability in dynamic environments and holds significant application value, especially in scenarios where data is constantly changing.