POPNASv3: a Pareto-Optimal Neural Architecture Search Solution for Image
and Time Series Classification

POPNASv3: a Pareto-Optimal Neural Architecture Search Solution for Image and Time Series Classification

13 December 2022

Eugenio Lomurno

Matteo Matteucci

Papers citing "POPNASv3: a Pareto-Optimal Neural Architecture Search Solution for Image and Time Series Classification"

5 / 5 papers shown

Title
Harnessing the Computing Continuum across Personalized Healthcare, Maintenance and Inspection, and Farming 4.0 Fatemeh Baghdadi Davide Cirillo D. Lezzi Francesc Lordan Fernando Vazquez Eugenio Lomurno Alberto Archetti Danilo Ardagna Matteo Matteucci 38 1 0 23 Feb 2024
Enhancing Once-For-All: A Study on Parallel Blocks, Skip Connections and Early Exits Simone Sarti Eugenio Lomurno Andrea Falanti Matteo Matteucci 21 3 0 03 Feb 2023
InceptionTime: Finding AlexNet for Time Series Classification Hassan Ismail Fawaz Benjamin Lucas Germain Forestier Charlotte Pelletier Daniel F. Schmidt J. Weber Geoffrey I. Webb L. Idoumghar Pierre-Alain Muller Franccois Petitjean AI4TS 85 1,072 0 11 Sep 2019
Efficient Multi-objective Neural Architecture Search via Lamarckian Evolution T. Elsken J. H. Metzen Frank Hutter 125 498 0 24 Apr 2018
Neural Architecture Search with Reinforcement Learning Barret Zoph Quoc V. Le 264 5,326 0 05 Nov 2016