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This project forked from minhtannguyen/transformer-mgk

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This is the public github for our paper "Transformer with a Mixture of Gaussian Keys"

License: Creative Commons Zero v1.0 Universal

Shell 1.33% C++ 0.74% Python 92.75% Cuda 5.12% Dockerfile 0.06%

transformer-mgk's Introduction

Improving Transformers with Probabilistic Attention Keys

The model and theory behind our implementations in this library are explained in our ICML paper "Improving Transformers with Probabilistic Attention Keys". A short summary of our paper is given on our blog.

Instructions for running the experiments in our paper are given in the following files:

lra/README.md

language-modeling/lmtool-fwms/README.md

Please cite us at

@inproceedings{nguyen2022improving,
  title={Improving Transformers with Probabilistic Attention Keys},
  author={Nguyen, Tam and Nguyen, T and Le, D and Nguyen, K and Tran, A and Baraniuk, R and Ho, Nhat and Osher, S},
  year={2022},
  booktitle={Proceedings of the 39th International Conference on Machine Learning},
  series={Proceedings of Machine Learning Research}
}

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