2025
Dynamic Siamese Expansion Framework for Improving Robustness in Online Continual Learning
NeurIPS 2025poster
Continual learning requires the model to continually capture novel information without forgetting prior knowledge. Nonetheless, existing studies predominantly address the catastrophic forgetting, often neglecting enhancements in model robustness. Consequently, these methodologies fall short in real-…