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Found 2 papers, 1 papers with code
Multimodal Data Fusion based on the Global Workspace Theory
We propose a novel neural network architecture, named the Global Workspace Network (GWN), which addresses the challenge of dynamic and unspecified uncertainties in multimodal data fusion.
Learning Word Meta-Embeddings by Autoencoding
Distributed word embeddings have shown superior performances in numerous Natural Language Processing (NLP) tasks.
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