POPNASv2: An Efficient Multi-Objective Neural Architecture Search
Technique

POPNASv2: An Efficient Multi-Objective Neural Architecture Search Technique

6 October 2022

Eugenio Lomurno

Matteo Matteucci

Papers citing "POPNASv2: An Efficient Multi-Objective Neural Architecture Search Technique"

7 / 7 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 43 1 0 23 Feb 2024
Neural Architecture Transfer 2: A Paradigm for Improving Efficiency in Multi-Objective Neural Architecture Search Simone Sarti Eugenio Lomurno Matteo Matteucci 19 0 0 03 Jul 2023
Enhancing Once-For-All: A Study on Parallel Blocks, Skip Connections and Early Exits Simone Sarti Eugenio Lomurno Andrea Falanti Matteo Matteucci 23 3 0 03 Feb 2023
POPNASv3: a Pareto-Optimal Neural Architecture Search Solution for Image and Time Series Classification Andrea Falanti Eugenio Lomurno Danilo Ardagna Matteo Matteucci AI4TS 41 11 0 13 Dec 2022
Equivariance-aware Architectural Optimization of Neural Networks Kaitlin Maile Dennis G. Wilson Patrick Forré AI4CE 39 9 0 11 Oct 2022
A Survey on Evolutionary Neural Architecture Search Yuqiao Liu Yizhou Sun Bing Xue Mengjie Zhang Gary G. Yen Kay Chen Tan 123 404 0 25 Aug 2020
Neural Architecture Search with Reinforcement Learning Barret Zoph Quoc V. Le 271 5,329 0 05 Nov 2016