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pro vyhledávání: '"Chau, Thomas"'
Autor:
Chau, Thomas Chun Pong, Dudziak, Łukasz, Wen, Hongkai, Lane, Nicholas Donald, Abdelfattah, Mohamed S
Neural architecture search (NAS) has been successfully used to design numerous high-performance neural networks. However, NAS is typically compute-intensive, so most existing approaches restrict the search to decide the operations and topological str
Externí odkaz:
http://arxiv.org/abs/2210.07271
Autor:
Fan, Hongxiang, Chau, Thomas, Venieris, Stylianos I., Lee, Royson, Kouris, Alexandros, Luk, Wayne, Lane, Nicholas D., Abdelfattah, Mohamed S.
Attention-based neural networks have become pervasive in many AI tasks. Despite their excellent algorithmic performance, the use of the attention mechanism and feed-forward network (FFN) demands excessive computational and memory resources, which oft
Externí odkaz:
http://arxiv.org/abs/2209.09570
Autor:
Xiang, Lichuan, Dudziak, Łukasz, Abdelfattah, Mohamed S., Chau, Thomas, Lane, Nicholas D., Wen, Hongkai
We formalize and analyze a fundamental component of differentiable neural architecture search (NAS): local "operation scoring" at each operation choice. We view existing operation scoring functions as inexact proxies for accuracy, and we find that th
Externí odkaz:
http://arxiv.org/abs/2106.06799
Autor:
Dudziak, Łukasz, Chau, Thomas, Abdelfattah, Mohamed S., Lee, Royson, Kim, Hyeji, Lane, Nicholas D.
Neural architecture search (NAS) enables researchers to automatically explore broad design spaces in order to improve efficiency of neural networks. This efficiency is especially important in the case of on-device deployment, where improvements in ac
Externí odkaz:
http://arxiv.org/abs/2007.08668
Autor:
Abdelfattah, Mohamed S., Dudziak, Łukasz, Chau, Thomas, Lee, Royson, Kim, Hyeji, Lane, Nicholas D.
Neural architecture search (NAS) has been very successful at outperforming human-designed convolutional neural networks (CNN) in accuracy, and when hardware information is present, latency as well. However, NAS-designed CNNs typically have a complica
Externí odkaz:
http://arxiv.org/abs/2002.05022
Autor:
Chau, Thomas Chun Pong
This thesis addresses the problem of designing real-time reconfigurable systems. Our first contribution of this thesis is to propose novel data structures and memory architectures for accelerating real-time proximity queries, with potential applicati
Externí odkaz:
http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.656833
Akademický článek
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Autor:
Dudziak, ��ukasz, Chau, Thomas, Abdelfattah, Mohamed S., Lee, Royson, Kim, Hyeji, Lane, Nicholas D.
Neural architecture search (NAS) enables researchers to automatically explore broad design spaces in order to improve efficiency of neural networks. This efficiency is especially important in the case of on-device deployment, where improvements in ac
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f976de3dc00e466619a96fd7e9bb87e9
http://arxiv.org/abs/2007.08668
http://arxiv.org/abs/2007.08668
Akademický článek
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