2 papers
cs.LG2025
Multiplicative learning from observation-prediction ratios
Han Kim, Hyungjoon Soh, Vipul Periwal +1
Additive parameter updates, as used in gradient descent and its adaptive extensions, underpin most modern machine-learning optimization. Yet, such additive schemes often demand num…
cs.CV2021
Towards Measuring Bias in Image Classification
Nina Schaaf, Omar de Mitri, Hang Beom Kim +2
Convolutional Neural Networks (CNN) have become de fact state-of-the-art for the main computer vision tasks. However, due to the complex underlying structure their decisions are ha…