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On Redundancy and Diversity in Cell-based Neural Architecture Search


Mar 16, 2022
Xingchen Wan, Binxin Ru, Pedro M. Esperança, Zhenguo Li

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* ICLR 2022. 10 pages, 10 figures, 2 tables (25 pages, 34 figures, 3 tables including references and appendices) 

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Approximate Neural Architecture Search via Operation Distribution Learning


Nov 08, 2021
Xingchen Wan, Binxin Ru, Pedro M. Esperança, Fabio M. Carlucci

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* WACV 2022. 10 pages, 3 figures and 5 tables (15 pages, 7 figures and 6 tables including appendices) 

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NAS evaluation is frustratingly hard


Feb 13, 2020
Antoine Yang, Pedro M. Esperança, Fabio M. Carlucci

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* Published as a conference paper at ICLR2020; 13 pages; 10 figures 

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Encrypted accelerated least squares regression


Mar 02, 2017
Pedro M. Esperança, Louis J. M. Aslett, Chris C. Holmes

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* Accepted for AISTATS 2017 

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Encrypted statistical machine learning: new privacy preserving methods


Aug 27, 2015
Louis J. M. Aslett, Pedro M. Esperança, Chris C. Holmes

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* 39 pages 

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A review of homomorphic encryption and software tools for encrypted statistical machine learning


Aug 26, 2015
Louis J. M. Aslett, Pedro M. Esperança, Chris C. Holmes

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* 21 pages, technical report 

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