Associative Memory

Associative memory is the ability to store patterns and retrieve them when presented with partial or noisy inputs. Inspired by how the human brain recalls memories, associative memory models are recurrent neural networks that converge to stored patterns over time. The tutorial ‘Modern Methods in Associative Memory’ by Krotov et al. offers an accessible overview for newcomers and a rigorous mathematical treatment for experts, bridging classical ideas with cutting-edge developments in deep learning. ...