# Learning Associative Inference Using Fast Weight Memory
This repository contains the offical code for the paper [*Learning Associative Inference Using Fast Weight Memory*](https://openreview.net/forum?id=TuK6agbdt27) published at ICLR 2021. The repo is split into three parts with three independent code bases: catbAbI, language modelling on PTB and WT2, and our meta-RL toy environment with randomly sampled POMDPs. Each folder contains a readme with further details and instructions.

# Citation
```
@inproceedings{
schlag2021learning,
title={Learning Associative Inference Using Fast Weight Memory},
author={Imanol Schlag and Tsendsuren Munkhdalai and J{\"u}rgen Schmidhuber},
booktitle={International Conference on Learning Representations},
year={2021},
url={https://openreview.net/forum?id=TuK6agbdt27}
}
```
