Construct · 1 fields · 1 citations

binding problem in neural networks: a standalone construct

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Machine learning

the difficulty artificial networks have in dynamically grouping features into separate entities, keeping them apart and composing them, which limits systematic generalization.

In machine learning, binding problem in neural networks refers to the difficulty artificial networks have in dynamically grouping features into separate entities, keeping them apart and composing them, which limits systematic generalization. This meaning comes from Greff (2020) in arXiv.[1]

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Nearby constructs

binding4 fields · 4 citationsjingle · one word, four constructs compositional generalization1 fields · 1 citationsanchor · a standalone construct difficulty3 fields · 3 citationsjingle · one word, three constructs

References

Greff, K., van Steenkiste, S., & Schmidhuber, J. (2020). On the Binding Problem in Artificial Neural Networks. arXiv. https://doi.org/10.48550/arxiv.2012.05208

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