Computational and Storage Efficient Quadratic Neurons for Deep Neural Networks

Chuangtao Chen, Grace Li Zhang, Xunzhao Yin, Cheng Zhuo, Ulf Schlichtmann, Bing Li

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Deep neural networks (DNNs) have been widely deployed across diverse domains such as computer vision and natural language processing. However, the impressive accomplishments of DNNs have been realized alongside extensive computational demands, thereby impeding their applicability on resource-constrained devices. To address this challenge, many researchers have been focusing on basic neuron structures, the fundamental building blocks of neural networks, to alleviate the computational and storage cost. In this work, an efficient quadratic neuron architecture distinguished by its enhanced utilization of second-order computational information is introduced. By virtue of their better expressivity, DNNs employing the proposed quadratic neurons can attain similar accuracy with fewer neurons and computational cost. Experimental results have demonstrated that the proposed quadratic neuron structure exhibits superior computational and storage efficiency across various tasks when compared with both linear and non-linear neurons in prior work.

Original languageEnglish
Title of host publication2024 Design, Automation and Test in Europe Conference and Exhibition, DATE 2024 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9798350348590
StatePublished - 2024
Event2024 Design, Automation and Test in Europe Conference and Exhibition, DATE 2024 - Valencia, Spain
Duration: 25 Mar 202427 Mar 2024

Publication series

NameProceedings -Design, Automation and Test in Europe, DATE
ISSN (Print)1530-1591

Conference

Conference2024 Design, Automation and Test in Europe Conference and Exhibition, DATE 2024
Country/TerritorySpain
CityValencia
Period25/03/2427/03/24

Fingerprint

Dive into the research topics of 'Computational and Storage Efficient Quadratic Neurons for Deep Neural Networks'. Together they form a unique fingerprint.

Cite this