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20162025
most citedDeep learning with convolutional neural networks for EEG decoding and visualization

3.8k citations · 4.1k across the 5 of their papers we have counts for

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Showing 2021Show all

2 papers · 1 filter

cs.LG2021★ 83 cited

SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization

Marius Lindauer, Katharina Eggensperger, Matthias Feurer +6

Algorithm parameters, in particular hyperparameters of machine learning algorithms, can substantially impact their performance. To support users in determining well-performing hype…

cs.LG2021★ 9 cited

DEHB: Evolutionary Hyperband for Scalable, Robust and Efficient Hyperparameter Optimization

Noor Awad, Neeratyoy Mallik, Frank Hutter

Modern machine learning algorithms crucially rely on several design decisions to achieve strong performance, making the problem of Hyperparameter Optimization (HPO) more important…