# Memory Association Networks

arXiv: https://arxiv.org/abs/2111.02353 · HTML: https://mlsanity.com/paper/2111.02353/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- Builds on 3 of its 13 references that are in the map.
- First posted on arXiv 3 Nov 2021.

## Builds on (most cited first, 3 of 3)

- [Playing Atari with Deep Reinforcement Learning](https://mlsanity.com/paper/1312.5602/) (2013)
- [Conditional Generative Adversarial Nets](https://mlsanity.com/paper/1411.1784/) (2014)
- [Deductive Association Networks](https://mlsanity.com/paper/2111.01431/) (2021)

## Built on by (most cited first, 1 of 1)

- [Imagine Networks](https://mlsanity.com/paper/2111.03048/) (2021)

## Abstract (arXiv)

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.