Why it matters
Linear attention is theoretical family; practical variants growing.
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The architecture
Kernel: phi(Q) phi(K)^T.
Recurrent form: state matrix.
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How it works end to end
Performer: random features.
Linformer: low-rank projection.
Gated linear attention: input-dependent decay (Mamba-2).