Memory Association Networks

TL;DR

Memory Association Networks (MANs) are a novel neural network architecture with dual memories designed to memorize and recall diverse data, addressing class imbalance and data distribution challenges.

Contribution

This paper introduces MANs with a dual-memory system, combining short-term and long-term memories for improved data handling and dataset generation.

Findings

Effective in memorizing diverse data

Addresses class imbalance issues

Stores and generates various datasets

Abstract

We introduce memory association networks(MANs) that memorize and remember any data. This neural network has two memories. One consists of a queue-structured short-term memory to solve the class imbalance problem and long-term memory to store the distribution of objects, introducing the contents of storing and generating various datasets.