What is recorded here?
Reordered kernel-feature attention computation associatively, allowing linear sequence-length computation and a recurrent autoregressive implementation.
Source-linked catalogue note. A detailed explanatory guide has not yet been prepared for this entry.
Scientific scope
The chosen feature-map kernel is not exact softmax attention. Complexity fixes feature dimension; reported benchmark speedups do not transfer automatically.
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People and systems
Angelos Katharopoulos; Apoorv Vyas; Nikolaos Pappas; François Fleuret
Source-listed authors or explicitly credited technical contributors for the cited versions. Family entries retain source-specific attribution; a combined list is not one original-paper byline or equal individual work. Names alone do not establish resolved identities.
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English catalogue narrative
Katharopoulos and colleagues: recurrent linear attention
Reordered kernel-feature attention computation associatively, allowing linear sequence-length computation and a recurrent autoregressive implementation.
Scientific scope
The chosen feature-map kernel is not exact softmax attention. Complexity fixes feature dimension; reported benchmark speedups do not transfer automatically.
Reading status
This is a source-linked WRS catalogue note. A full explanatory guide and independent scientific reconstruction have not been completed for this entry. Read the identified original work for its complete narrative and arguments.
People and systems
Angelos Katharopoulos; Apoorv Vyas; Nikolaos Pappas; François Fleuret
Source-listed authors or explicitly credited technical contributors for the cited versions. Family entries retain source-specific attribution; a combined list is not one original-paper byline or equal individual work. Names alone do not establish resolved identities.