NeurIPS 2020

H-Mem: Harnessing synaptic plasticity with Hebbian Memory Networks

Meta Review

The authors propose a novel architecture to solve memory-based question and answering task. The key idea is to use a hetero-associative memory that utilizes fast Hebbian learning. All the reviewers agree that this paper makes a strong contribution to the literature and the experimental results are sufficient to support the claims made in the paper. Based on the clarification questions sought by the reviewers, the writing could use improvement and authors have promised to address the issues raised in the additional space they will have in the final submission.