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...
Long-Huan Xu, Zhi-Peng Zhou, Wei-Liang Ji et al.
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