AINeutralarXiv – CS AI · 10h ago6/10
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Robust Auto-associative Memory via Convolutional Restricted Hopfield Networks
Researchers propose Convolutional Restricted Hopfield Networks (CRHNs), a new associative memory model that combines convolutional feature extraction with attractor-based retrieval to improve robustness against adversarial attacks and data corruption. Experiments demonstrate CRHNs achieve significantly lower reconstruction errors than existing models like Modern Hopfield Networks and Predictive Coding Networks, with improvements up to an order of magnitude under various perturbation conditions.