Attention mechanism in neural networks

Soydaner, D. (2022). Attention mechanism in neural networks: where it comes and where it goes.

Type

Unclassified

Intellectual base

Unclassified

Year

2022

DOI

10.1007/s00521-022-07366-3

Link

https://doi.org/10.1007/s00521-022-07366-3

Cited by

1 citation across 1 artifact.

Domain-specific

• Attention (machine learning)
  • … between constitutive identity and a convenient observable transfers from Self-attention lets each token query every permitted token and aggregate their value vectors according to learned relevance. to A model report distinguishes attention weights from causal explanation and states positional and masking design..

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