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Sparse associative memory based on contextual code learning for disambiguating word senses
In recent literature, contextual pretrained Language Models (LMs) demonstrated their potential in generalizing the knowledge to several Natural Language Processing (NLP) tasks including supervised Word Sense Disambiguation (WSD), a challenging problem in the field of Natural Language Understanding (NLU).
Robust Associative Memories Naturally Occuring From Recurrent Hebbian Networks Under Noise
In this paper, we are interested in demonstrating that those factors can actually lead to the appearance of robust associative memories.
Storing sequences in binary tournament-based neural networks
An extension to a recently introduced architecture of clique-based neural networks is presented.
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