4 papers · 1 filter
Structuralist analysis for neural network system diagrams
Guy Clarke Marshall, Caroline Jay, Andre Freitas
This short paper examines diagrams describing neural network systems in academic conference proceedings. Many aspects of scholarly communication are controlled, particularly with r…
Why scholars are diagramming neural network models
Guy Clarke Marshall, Caroline Jay, Andre Freitas
Complex models, such as neural networks (NNs), are comprised of many interrelated components. In order to represent these models, eliciting and characterising the relations between…
Understanding scholarly Natural Language Processing system diagrams through application of the Richards-Engelhardt framework
Guy Clarke Marshall, Caroline Jay, André Freitas
We utilise Richards-Engelhardt framework as a tool for understanding Natural Language Processing systems diagrams. Through four examples from scholarly proceedings, we find that th…
A Framework for Improving Scholarly Neural Network Diagrams
Guy Clarke Marshall, André Freitas, Caroline Jay
Neural networks are a prevalent and effective machine learning component, and their application is leading to significant scientific progress in many domains. As the field of neura…