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.
| Original language | English |
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| Title of host publication | International Conference on Learning Representations 2021 |
| Publication status | Accepted/In press - 7 Apr 2021 |