Pin Yi

Fresh-CL: Feature Realignment through Experts on Hypersphere in Continual Learning

Continual Learning enables models to learn and adapt to new tasks while retaining prior knowledge. Introducing new tasks, however, can naturally lead to feature entanglement across tasks, limiting the model’s capability to distinguish between new domain data. In this work, we propose a method called…