Long-term series forecasting with Query Selector -- efficient model of sparse attention

Various modifications of TRANSFORMER were recently used to solve time-series forecasting problem. We propose Query Selector - an efficient, deterministic algorithm for sparse attention matrix. Experiments show it achieves state-of-the art results on ETT, Helpdesk and BPI'12 datasets.

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Published in:arXiv.org 2021-08
Main Authors: Klimek, Jacek, Klimek, Jakub, Kraskiewicz, Witold, Topolewski, Mateusz
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Language:English
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Algorithms
Forecasting
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Klimek, Jakub
Kraskiewicz, Witold
Topolewski, Mateusz
description Various modifications of TRANSFORMER were recently used to solve time-series forecasting problem. We propose Query Selector - an efficient, deterministic algorithm for sparse attention matrix. Experiments show it achieves state-of-the art results on ETT, Helpdesk and BPI'12 datasets.
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subjects Algorithms
Forecasting
title Long-term series forecasting with Query Selector -- efficient model of sparse attention
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