How to Measure FLOP/s for Neural Networks Empirically? – Epoch

Computing the utilization rate for multiple Neural Network architectures.

Algorithms, Free Full-Text

Neural Architecture Search: Learning How to Learn

NeurIPS 2023

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

2022-4-24: Merging networks, Wall of MoE papers, Diverse models transfer better

Frontiers Backpropagation With Sparsity Regularization for Spiking Neural Network Learning

What a Compute-Centric Framework Says About Takeoff Speeds

How to measure FLOP/s for Neural Networks empirically? — LessWrong

The comparison between normalizing importances by FLOPs and memory.

How to Measure FLOP/s for Neural Networks Empirically? – Epoch