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pro vyhledávání: '"De Marchi, Mirco"'
Deep Learning (DL) requires lots of time and data, resulting in high computational demands. Recently, researchers employ Active Learning (AL) and online distillation to enhance training efficiency and real-time model adaptation. This paper evaluates
Externí odkaz:
http://arxiv.org/abs/2309.01612
Autor:
Boldo, Michele, De Marchi, Mirco, Martini, Enrico, Aldegheri, Stefano, Quaglia, Davide, Fummi, Franco, Bombieri, Nicola
Publikováno v:
In Expert Systems With Applications 15 October 2024 252 Part A
Autor:
De Marchi, Mirco, Lumpp, Francesco, Martini, Enrico, Boldo, Michele, Aldegheri, Stefano, Bombieri, Nicola
Publikováno v:
Journal of Low Power Electronics & Applications; Jun2021, Vol. 11 Issue 2, p24-24, 1p
Autor:
Tiziana Margaria, Bernhard Steffen
This four-volume set LNCS 13701-13704 constitutes contributions of the associated events held at the 11th International Symposium on Leveraging Applications of Formal Methods, ISoLA 2022, which took place in Rhodes, Greece, in October/November 2022.