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Found 2 papers, 1 papers with code
Disentangling Categorization in Multi-agent Emergent Communication
The emergence of language between artificial agents is a recent focus of computational linguistics, as it offers a synthetic substrate for reasoning about human language evolution.
Static Seeding and Clustering of LSTM Embeddings to Learn from Loosely Time-Decoupled Events
In this paper, we explore methods of seeding a multivariate LSTM from time-invariant data related to the geophysical and demographic phenomena being modeled by the LSTM.
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