2 papers
cs.CV2026
Revisiting Unknowns: Towards Effective and Efficient Open-Set Active Learning
Chen-Chen Zong, Yu-Qi Chi, Xie-Yang Wang +2
Open-set active learning (OSAL) aims to identify informative samples for annotation when unlabeled data may contain previously unseen classes-a common challenge in safety-critical…
cs.LG2024
Continual Learning in the Presence of Repetition
Hamed Hemati, Lorenzo Pellegrini, Xiaotian Duan +11
Continual learning (CL) provides a framework for training models in ever-evolving environments. Although re-occurrence of previously seen objects or tasks is common in real-world p…