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BayesPCN: A Continually Learnable Predictive Coding Associative Memory. (arXiv:2205.09930v1 [cs.LG])
May 23, 2022, 1:10 a.m. | Jason Yoo, Frank Wood
cs.LG updates on arXiv.org arxiv.org
Associative memory plays an important role in human intelligence and its
mechanisms have been linked to attention in machine learning. While the machine
learning community's interest in associative memories has recently been
rekindled, most work has focused on memory recall ($read$) over memory learning
($write$). In this paper, we present BayesPCN, a hierarchical associative
memory capable of performing continual one-shot memory writes without
meta-learning. Moreover, BayesPCN is able to gradually forget past observations
($forget$) to free its memory. Experiments show …
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