Diagrammatic Summaries for Neural Architectures
Abstract
This paper advocates for diagrammatic summary publications for machine learning system architecture papers. We review existing diagram-centric scholarly practices, and summarise relevant studies on neural network system architecture diagrams. We subsequently propose three opportunities: Diagram guidelines, diagrammatic system summary publications, and the community creation of a formal diagram standards, which could be integrated with existing LaTeX + PDF publication processes.
Cite
Text
Marshall et al. "Diagrammatic Summaries for Neural Architectures." ICLR 2021 Workshops: Rethinking_ML_Papers, 2021.Markdown
[Marshall et al. "Diagrammatic Summaries for Neural Architectures." ICLR 2021 Workshops: Rethinking_ML_Papers, 2021.](https://mlanthology.org/iclrw/2021/marshall2021iclrw-diagrammatic/)BibTeX
@inproceedings{marshall2021iclrw-diagrammatic,
title = {{Diagrammatic Summaries for Neural Architectures}},
author = {Marshall, Guy Clarke and Jay, Caroline and Freitas, André},
booktitle = {ICLR 2021 Workshops: Rethinking_ML_Papers},
year = {2021},
url = {https://mlanthology.org/iclrw/2021/marshall2021iclrw-diagrammatic/}
}