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cs.LG2024
Revisiting the Initial Steps in Adaptive Gradient Descent Optimization
Abulikemu Abuduweili, Changliu Liu
Adaptive gradient optimization methods, such as Adam, are prevalent in training deep neural networks across diverse machine learning tasks due to their ability to achieve faster co…
cs.LG2024
Estimating Neural Network Robustness via Lipschitz Constant and Architecture Sensitivity
Abulikemu Abuduweili, Changliu Liu
Ensuring neural network robustness is essential for the safe and reliable operation of robotic learning systems, especially in perception and decision-making tasks within real-worl…