45 citations · 118 across the 9 of their papers we have counts for
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cs.NE2019★ 8 cited
Prediction of neural network performance by phenotypic modeling
Alexander Hagg, Martin Zaefferer, Jörg Stork +1
Surrogate models are used to reduce the burden of expensive-to-evaluate objective functions in optimization. By creating models which map genomes to objective values, these models…
cs.LG2019
Weight Agnostic Neural Networks
Adam Gaier, David Ha
Not all neural network architectures are created equal, some perform much better than others for certain tasks. But how important are the weight parameters of a neural network comp…