Benchmarking Machine Learning: How Fast Can Your Algorithms Go?
Not on the map. Why?
Abstract (arXiv)
This paper is focused on evaluating the effect of some different techniques in machine learning speed-up, including vector caches, parallel execution, and so on. The following content will include some review of the previous approaches and our own experimental results.
Key facts. Cited by 3 papers in the map (data through 14 Oct 2026). Builds on 0 of its 50 references that are in the map. First posted on arXiv 8 Jan 2021.
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Citing papers per year: 2022: 1; 2023: 1; 2024: 0; 2025: 1.
3 papers.