PPSEBM: An Energy-Based Model with Progressive Parameter Selection for Continual Learning

The article introduces PPSEBM, a novel approach to continual learning using an energy-based model and progressive parameter selection. This suggests a focus on improving model efficiency and performance in scenarios where learning happens sequentially over time. The use of 'progressive parameter selection' implies a strategy to adapt the model's complexity as new tasks are encountered, potentially mitigating catastrophic forgetting.