Shane Steinert-Threlkeld shanest

Pinned repositories

1. quantifier-rnn-learning

   Accompanies the paper "Learnability and Semantic Universals" ; trains recurrent neural networks to learn to verify sentences with quantifiers in order to explain semantic universals

   Python 1 4

2. responsive-verbs

   Explaining semantic universals for so-called responsive verbs in terms of their learnability.

   Python

3. scale-free-protest

   Code for a project on relation between scaling parameter in scale-free networks and size of protests

   Python 1

4. color-learning

   Learning of different artificial color systems, represented as partitions of a space

   Python 1

5. learning-evolution-compositionality

   Companion to the paper: Shane Steinert-Threlkeld, "Compositional Signaling in a Complex World", Journal of Logic, Language, and Information, vol 25 no 3, pp. 379-397 (DOI: 10.1007/s10849-016-9236-9)

   Python

6. neural-vision-most

   Training neural models of visual attention to replicate varoius cognitive tasks

   Python 1