2025
Learning Expandable and Adaptable Representations for Continual Learning
NeurIPS 2025poster
Extant studies predominantly address catastrophic forgetting within a simplified continual learning paradigm, typically confined to a singular data domain. Conversely, real-world applications frequently encompass multiple, evolving data domains, wherein models often struggle to retain many critical…