Improving deep learning with prior knowledge and cognitive models: A survey on enhancing explainability, adversarial robustness and zero-shot learning

arXiv:2403.07078v1 Announce Type: new
Abstract: We review current and emerging knowledge-informed and brain-inspired cognitive systems for realizing adversarial defenses, eXplainable Artificial Intelligence (XAI), and zero-shot or few-short learning. Data-driven deep learning models have achieved remarkable performance and demonstrated capabilities surpassing human experts in many applications. Yet, their inability to exploit domain knowledge leads to serious performance limitations in practical applications. In particular, deep learning systems are exposed to adversarial attacks, which can trick them into making glaringly incorrect decisions. Moreover, …

abstract adversarial artificial artificial intelligence arxiv brain brain-inspired capabilities cognitive cs.ai cs.cv cs.lg current data data-driven deep learning explainability explainable artificial intelligence human intelligence knowledge performance prior review robustness survey systems type xai zero-shot