HyperEmbed: Tradeoffs Between Resources and Performance in NLP Tasks with Hyperdimensional Computing Enabled Embedding of n-gram Statistics-Reference-Cited by-同舟云学术

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HyperEmbed: Tradeoffs Between Resources and Performance in NLP Tasks with Hyperdimensional Computing Enabled Embedding of n-gram Statistics

Published:2021-07-18 Issue: Volume: Page:
ISSN:
Container-title:2021 International Joint Conference on Neural Networks (IJCNN)
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Author:

Alonso Pedro,Shridhar Kumar,Kleyko Denis,Osipov Evgeny,Liwicki Marcus

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9533266/9533267/09534359.pdf?arnumber=9534359

Cited by 9 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Optimized Early Prediction of Business Processes with Hyperdimensional Computing;Information;2024-08-16

2. An experimental study of sentiment classification using deep-based models with various word embedding techniques;Journal of Experimental & Theoretical Artificial Intelligence;2024-07-30

3. Memristive Crossbar for Hyper Dimensional Consumer Text Analytics Accelerator;2023 21st IEEE Interregional NEWCAS Conference (NEWCAS);2023-06-26

4. Recent Progress and Development of Hyperdimensional Computing (HDC) for Edge Intelligence;IEEE Journal on Emerging and Selected Topics in Circuits and Systems;2023-03

5. A Survey on Hyperdimensional Computing aka Vector Symbolic Architectures, Part II: Applications, Cognitive Models, and Challenges;ACM Computing Surveys;2023-01-16

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