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cs.LG2024
Training Neural Networks for Modularity aids Interpretability
Satvik Golechha, Dylan Cope, Nandi Schoots
An approach to improve network interpretability is via clusterability, i.e., splitting a model into disjoint clusters that can be studied independently. We find pretrained models t…
cs.LG2024★ 1 cited
Learning Translations: Emergent Communication Pretraining for Cooperative Language Acquisition
Dylan Cope, Peter McBurney
In Emergent Communication (EC) agents learn to communicate with one another, but the protocols that they develop are specialised to their training community. This observation led t…