Enhancing Once-For-All: A Study on Parallel Blocks, Skip Connections and
Early Exits

Enhancing Once-For-All: A Study on Parallel Blocks, Skip Connections and Early Exits

3 February 2023

Eugenio Lomurno

Matteo Matteucci

Papers citing "Enhancing Once-For-All: A Study on Parallel Blocks, Skip Connections and Early Exits"

5 / 5 papers shown

Title
POMONAG: Pareto-Optimal Many-Objective Neural Architecture Generator Eugenio Lomurno Samuele Mariani Matteo Monti Matteo Matteucci DiffM 21 2 0 30 Sep 2024
NACHOS: Neural Architecture Search for Hardware Constrained Early Exit Neural Networks Matteo Gambella Jary Pomponi Simone Scardapane Manuel Roveri 17 1 0 24 Jan 2024
Neural Architecture Transfer 2: A Paradigm for Improving Efficiency in Multi-Objective Neural Architecture Search Simone Sarti Eugenio Lomurno Matteo Matteucci 14 0 0 03 Jul 2023
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications Andrew G. Howard Menglong Zhu Bo Chen Dmitry Kalenichenko Weijun Wang Tobias Weyand M. Andreetto Hartwig Adam 3DH 948 20,214 0 17 Apr 2017
Neural Architecture Search with Reinforcement Learning Barret Zoph Quoc V. Le 264 5,290 0 05 Nov 2016