Measuring Deep Learning Performance - An Empirical Study of Performance Distributions Across Architectures and Tasks.

arXiv:2610.38037v1 Announce Type: cross Abstract: Context: Non-determinism in deep learning algorithm design and implementation leads to performance variation, meaning model performance is not a single value, but rather a distribution. These model performance