Neural Network Design: Learning from Neural Architecture Search

Neural Network Design: Learning from Neural Architecture Search

1 November 2020

Thomas Bäck

Papers citing "Neural Network Design: Learning from Neural Architecture Search"

9 / 9 papers shown

Title
Exploratory Landscape Analysis is Strongly Sensitive to the Sampling Strategy Quentin Renau Carola Doerr Johann Dréo Benjamin Doerr 85 59 0 19 Jun 2020
Neural Architecture Transfer Zhichao Lu Gautam Sreekumar E. Goodman W. Banzhaf Kalyanmoy Deb Vishnu Boddeti AAML 37 151 0 12 May 2020
COCO: The Large Scale Black-Box Optimization Benchmarking (bbob-largescale) Test Suite Ouassim Ait ElHara Konstantinos Varelas Duc Manh Nguyen Tea Tušar D. Brockhoff N. Hansen A. Auger 22 27 0 15 Mar 2019
Random Search and Reproducibility for Neural Architecture Search Liam Li Ameet Talwalkar OOD 61 719 0 20 Feb 2019
Neural Architecture Search with Bayesian Optimisation and Optimal Transport Kirthevasan Kandasamy Willie Neiswanger J. Schneider Barnabás Póczós Eric Xing 64 603 0 11 Feb 2018
Automated Algorithm Selection on Continuous Black-Box Problems By Combining Exploratory Landscape Analysis and Machine Learning P. Kerschke Heike Trautmann 51 151 0 24 Nov 2017
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms Han Xiao Kashif Rasul Roland Vollgraf 189 8,807 0 25 Aug 2017
Comprehensive Feature-Based Landscape Analysis of Continuous and Constrained Optimization Problems Using the R-Package flacco P. Kerschke 32 101 0 17 Aug 2017
Neural Architecture Search with Reinforcement Learning Barret Zoph Quoc V. Le 389 5,362 0 05 Nov 2016