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cs.LG2024
Structure of Artificial Neural Networks -- Empirical Investigations
Julian Stier
Within one decade, Deep Learning overtook the dominating solution methods of countless problems of artificial intelligence. ``Deep'' refers to the deep architectures with operation…
cs.NE2024
Efficient NAS with FaDE on Hierarchical Spaces
Simon Neumeyer, Julian Stier, Michael Granitzer
Neural architecture search (NAS) is a challenging problem. Hierarchical search spaces allow for cheap evaluations of neural network sub modules to serve as surrogate for architectu…