Transformer Architecture Compression with Hyper Complex Numbers

Student: Voronova Anastasiia

Supervisor:

Faculty: Faculty of Informatics, Mathematics, and Computer Science (HSE Nizhny Novgorod)

Educational Programme: Data Mining (Master)

Year of Graduation: 2024

In this paper it is created a method of compression the linear layer by 2 times using hypercomplex numbers. The method is tested on the BERT architecture in the text classification task.

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