2025
L3A: Label-Augmented Analytic Adaptation for Multi-Label Class Incremental Learning
ICML 2025poster
Class-incremental learning (CIL) enables models to learn new classes continually without forgetting previously acquired knowledge. Multi-label CIL (MLCIL) extends CIL to a real-world scenario where each sample may belong to multiple classes, introducing several challenges: label absence, which leads…