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Neural Network Design: Learning from Neural Architecture Search

Neural Network Design: Learning from Neural Architecture Search

1 November 2020
Bas van Stein
Hongya Wang
Thomas Bäck
ArXiv (abs)PDFHTML

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

4 / 4 papers shown
Title
A Survey of Meta-features Used for Automated Selection of Algorithms for
  Black-box Single-objective Continuous Optimization
A Survey of Meta-features Used for Automated Selection of Algorithms for Black-box Single-objective Continuous Optimization
Gjorgjina Cenikj
Ana Nikolikj
Gašper Petelin
Niki van Stein
Carola Doerr
T. Eftimov
77
1
0
08 Jun 2024
On Constructing Algorithm Portfolios in Algorithm Selection for
  Computationally Expensive Black-box Optimization in the Fixed-budget Setting
On Constructing Algorithm Portfolios in Algorithm Selection for Computationally Expensive Black-box Optimization in the Fixed-budget Setting
Takushi Yoshikawa
Ryoji Tanabe
44
0
0
13 May 2024
DoE2Vec: Deep-learning Based Features for Exploratory Landscape Analysis
DoE2Vec: Deep-learning Based Features for Exploratory Landscape Analysis
Bas van Stein
Fu Xing Long
M. Frenzel
Peter Krause
M. Gitterle
T.H.W. Bäck
47
19
0
31 Mar 2023
Benchmarking Feature-based Algorithm Selection Systems for Black-box
  Numerical Optimization
Benchmarking Feature-based Algorithm Selection Systems for Black-box Numerical Optimization
Ryoji Tanabe
43
15
0
17 Sep 2021
1