Computing the utilization rate for multiple Neural Network architectures.
Review of deep learning: concepts, CNN architectures, challenges, applications, future directions, Journal of Big Data
What can flatness teach us about why Neural Networks generalise?, by Chris Mingard
How to measure FLOP/s for Neural Networks empirically? — LessWrong
Deep Learning, PDF, Machine Learning
Neural Architecture Search: Learning How to Learn
How to Measure FLOP/s for Neural Networks Empirically? – Epoch
Epoch Impact Report - 2022, PDF, Machine Learning
What can flatness teach us about why Neural Networks generalise?, by Chris Mingard
2023-4-23 arXiv roundup: Adam instability, better hypernetworks, More Branch-Train-Merge
Calculate Computational Efficiency of Deep Learning Models with FLOPs and MACs - KDnuggets
SiaLog: detecting anomalies in software execution logs using the siamese network
Light convolutional neural network by neural architecture search and model pruning for bearing fault diagnosis and remaining useful life prediction
2022-4-24: Merging networks, Wall of MoE papers, Diverse models transfer better