most citedA New Perspective for Understanding Generalization Gap of Deep Neural Networks Trained with Large Batch Sizes

2 citations · 3 across the 2 of their papers we have counts for

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2 papers

cs.LG2022★ 2 cited

A New Perspective for Understanding Generalization Gap of Deep Neural Networks Trained with Large Batch Sizes

Oyebade K. Oyedotun, Konstantinos Papadopoulos, Djamila Aouada

Deep neural networks (DNNs) are typically optimized using various forms of mini-batch gradient descent algorithm. A major motivation for mini-batch gradient descent is that with a…

cs.CV2021★ 1 cited

SPARK: SPAcecraft Recognition leveraging Knowledge of Space Environment

Mohamed Adel Musallam, Kassem Al Ismaeil, Oyebade Oyedotun +3

This paper proposes the SPARK dataset as a new unique space object multi-modal image dataset. Image-based object recognition is an important component of Space Situational Awarenes…