POPNASv2: An Efficient Multi-Objective Neural Architecture Search Technique - researchr publication authors

researchr

You are not signed in
Sign in
Sign up

Andrea Falanti, Eugenio Lomurno, Stefano Samele, Danilo Ardagna, Matteo Matteucci. POPNASv2: An Efficient Multi-Objective Neural Architecture Search Technique. In International Joint Conference on Neural Networks, IJCNN 2022, Padua, Italy, July 18-23, 2022. pages 1-8, IEEE, 2022. [doi]

This author has not been identified. Look up 'Andrea Falanti' in GoogleThis author has not been identified. Look up 'Eugenio Lomurno' in GoogleThis author has not been identified. Look up 'Stefano Samele' in GoogleThis author has not been identified. Look up 'Danilo Ardagna' in GoogleThis author has not been identified. Look up 'Matteo Matteucci' in Google

runs on WebDSL