Preprint Open access
Distribution-Conditioned Task Routing for Class-Incremental Learning
Parameter-efficient adaptation enables continual learners to acquire task-specific knowledge through compact model updates while maintaining strong within-task performance. However, class-incremental inference requires each input to be classified among all classes seen so far without access to its task identity. For le …