AINeutralarXiv – CS AI · 6h ago6/10
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HEDP: A Hybrid Energy-Distance Prompt-based Framework for Domain Incremental Learning
Researchers introduce HEDP, a domain incremental learning framework that enables AI models to adapt to new data domains without retraining by combining energy-based regularization with distance-based weighting mechanisms. The approach demonstrates a 2.57% accuracy improvement on unseen domains while reducing catastrophic forgetting, addressing a critical challenge in continuous learning systems.