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cs.LG2024★ 26 cited
Rolling the dice for better deep learning performance: A study of randomness techniques in deep neural networks
Mohammed Ghaith Altarabichi, Sławomir Nowaczyk, Sepideh Pashami +2
This paper investigates how various randomization techniques impact Deep Neural Networks (DNNs). Randomization, like weight noise and dropout, aids in reducing overfitting and enha…
cs.LG2023
Graph Reinforcement Learning for Operator Selection in the ALNS Metaheuristic
Syu-Ning Johnn, Victor-Alexandru Darvariu, Julia Handl +1
ALNS is a popular metaheuristic with renowned efficiency in solving combinatorial optimisation problems. However, despite 16 years of intensive research into ALNS, whether the embe…