2 papers
cs.CL2025
Efficient Topic Extraction via Graph-Based Labeling: A Lightweight Alternative to Deep Models
Salma Mekaoui, Hiba Sofyan, Imane Amaaz +4
Extracting topics from text has become an essential task, especially with the rapid growth of unstructured textual data. Most existing works rely on highly computational methods to…
cs.CV2024
Towards Utilising a Range of Neural Activations for Comprehending Representational Associations
Laura O'Mahony, Nikola S. Nikolov, David JP O'Sullivan
Recent efforts to understand intermediate representations in deep neural networks have commonly attempted to label individual neurons and combinations of neurons that make up linea…