IEEE

Knowledge Memorization and Rumination for Pre-trained Model-based Class-Incremental Learning

Abstract: Class-Incremental Learning (CIL) enables models to continuously learn new classes while mitigating catastrophic forgetting. Recently, Pre-Trained Models (PTMs) have greatly enhanced CIL ...
IEEE

E-NPU: A 34~126nJ/Class Event-Driven Adaptive Neural SoC with Signal-Dynamics-Aware Feature Clustering and Multi-Model In-Memory Inference/Training for Personalized Medical ...

Abstract: Biomedical signal processing systems-on-chip (SoC) have shown significant promise in human-machine interfaces and closed-loop neuromodulation applications [1]–[5]. Future personalized ...