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Augmenting Compositional Models for Knowledge Base Completion Using
  Gradient Representations
v1v2 (latest)

Augmenting Compositional Models for Knowledge Base Completion Using Gradient Representations

2 November 2018
Matthias Lalisse
P. Smolensky
ArXiv (abs)PDFHTML

Papers citing "Augmenting Compositional Models for Knowledge Base Completion Using Gradient Representations"

2 / 2 papers shown
Neurocompositional computing: From the Central Paradox of Cognition to a
  new generation of AI systems
Neurocompositional computing: From the Central Paradox of Cognition to a new generation of AI systemsThe AI Magazine (AI Mag.), 2022
P. Smolensky
R. Thomas McCoy
Roland Fernandez
Matthew A. Goldrick
Jia-Hao Gao
248
75
0
02 May 2022
Scalable knowledge base completion with superposition memories
Scalable knowledge base completion with superposition memories
Matthias Lalisse
Eric Rosen
P. Smolensky
99
0
0
24 Oct 2021
1
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