AISC5: Research Summaries
Modularity Loss Function Team members: Logan Smith, Viktor Rehnberg, Vlado Baca, Philip Blagoveschensky, Viktor PetukhovExternal collaborators: Gurkenglas Making neural networks (NNs) more modular may improve their interpretability. If we cluster neurons or weights together according to their different functions, we can analyze each cluster individually. Once we better understand the clusters that make up a …