Continual Learning

Continual Learning, also known as incremental learning or lifelong learning, refers to model training methods that sequentially learn a large number of tasks without forgetting the knowledge acquired from previous tasks. In scenarios where data cannot be revisited, this method evaluates and validates performance by providing task identifiers, aiming to address the issue of maintaining model performance across continuously evolving tasks, which holds significant application value.