0534837 - ÚI 2021 RIV CH eng C - Konferenční příspěvek (zahraniční konf.)
Vidnerová, Petra - Neruda, RomanMulti-objective Evolution for Deep Neural Network Architecture Search.
Neural Information Processing. ICONIP 2020 Proceedings, Part III. Cham: Springer, 2020 - (Yang, H.; Pasupa, K.; Chi-Sing Leung, A.; Kwok, J.; Chan, J.; King, I.), s. 270-281. Lecture Notes on Computer Science, 12534. ISBN 978-3-030-63835-1. ISSN 0302-9743.
[ICONIP 2020: International Conference on Neural Information Processing /27./. Bangkok (TH), 23.11.2020-27.11.2020]
Grant CEP: GA ČR(CZ) GA18-23827S
Institucionální podpora: RVO:67985807
Klíčová slova: neural architecture search * deep neural networks * multi-objective evolution
Obor OECD: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Trvalý link: http://hdl.handle.net/11104/0312997
