5 citations · 6 across the 8 of their papers we have counts for
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cs.LG2024★ 5 cited
Hyperparameter Importance Analysis for Multi-Objective AutoML
Daphne Theodorakopoulos, Frederic Stahl, Marius Lindauer
Hyperparameter optimization plays a pivotal role in enhancing the predictive performance and generalization capabilities of ML models. However, in many applications, we do not only…
cs.LG2024★ 1 cited
Towards Leveraging AutoML for Sustainable Deep Learning: A Multi-Objective HPO Approach on Deep Shift Neural Networks
Leona Hennig, Tanja Tornede, Marius Lindauer
Deep Learning (DL) has advanced various fields by extracting complex patterns from large datasets. However, the computational demands of DL models pose environmental and resource c…