IMPROVING ATTENTION-BASED DEEP LEARNING MODELS WITH LOCALITY

Ph.D

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Bibliographic Details
Main Author: JIANG ZIHANG
Other Authors: ELECTRICAL & COMPUTER ENGINEERING
Format: Theses and Dissertations
Language:English
Published: 2023
Subjects:
Online Access:https://scholarbank.nus.edu.sg/handle/10635/241491
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Institution: National University of Singapore
Language: English
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spelling sg-nus-scholar.10635-2414912023-05-31T18:01:35Z IMPROVING ATTENTION-BASED DEEP LEARNING MODELS WITH LOCALITY JIANG ZIHANG ELECTRICAL & COMPUTER ENGINEERING Xinchao Wang network architecture,deep learning,attention,local,transformer,machine learning Ph.D DOCTOR OF PHILOSOPHY (CDE-ENG) 2023-05-31T18:01:35Z 2023-05-31T18:01:35Z 2022-12-19 Thesis JIANG ZIHANG (2022-12-19). IMPROVING ATTENTION-BASED DEEP LEARNING MODELS WITH LOCALITY. ScholarBank@NUS Repository. https://scholarbank.nus.edu.sg/handle/10635/241491 0000-0002-8096-842X en
institution National University of Singapore
building NUS Library
continent Asia
country Singapore
Singapore
content_provider NUS Library
collection ScholarBank@NUS
language English
topic network architecture,deep learning,attention,local,transformer,machine learning
spellingShingle network architecture,deep learning,attention,local,transformer,machine learning
JIANG ZIHANG
IMPROVING ATTENTION-BASED DEEP LEARNING MODELS WITH LOCALITY
description Ph.D
author2 ELECTRICAL & COMPUTER ENGINEERING
author_facet ELECTRICAL & COMPUTER ENGINEERING
JIANG ZIHANG
format Theses and Dissertations
author JIANG ZIHANG
author_sort JIANG ZIHANG
title IMPROVING ATTENTION-BASED DEEP LEARNING MODELS WITH LOCALITY
title_short IMPROVING ATTENTION-BASED DEEP LEARNING MODELS WITH LOCALITY
title_full IMPROVING ATTENTION-BASED DEEP LEARNING MODELS WITH LOCALITY
title_fullStr IMPROVING ATTENTION-BASED DEEP LEARNING MODELS WITH LOCALITY
title_full_unstemmed IMPROVING ATTENTION-BASED DEEP LEARNING MODELS WITH LOCALITY
title_sort improving attention-based deep learning models with locality
publishDate 2023
url https://scholarbank.nus.edu.sg/handle/10635/241491
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