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"

4 / 4 papers shown

Title
Enhancing Once-For-All: A Study on Parallel Blocks, Skip Connections and Early Exits Simone Sarti Eugenio Lomurno Andrea Falanti Matteo Matteucci 10 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 1,058 0 11 Sep 2019
Efficient Multi-objective Neural Architecture Search via Lamarckian Evolution T. Elsken J. H. Metzen Frank Hutter 117 498 0 24 Apr 2018
Neural Architecture Search with Reinforcement Learning Barret Zoph Quoc V. Le 264 5,290 0 05 Nov 2016