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Long-term series forecasting with Query Selector -- efficient model of sparse attention
Long-term series forecasting with Query Selector -- efficient model of sparse attention
Jacek Klimek Jakub Klimek Witold Kraskiewicz Mateusz Topolewski
Abstract
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.