Linear Attention Architectures: Mechanisms, Trade-offs, and Cross-Layer Routing
A comparative analysis of softmax attention and recurrent linear-attention architectures examines their expressivity, memory management, and training efficiency across different pa…
Hugging Face · Daily Papers
·Tommaso Cerruti, Tim Rieder
·
·▲ 13 upvotes
Este artigo está em destaque na seleção diária de papers do Hugging Face, curada pela comunidade de pesquisa em IA.
Autores: Tommaso Cerruti, Tim Rieder, George Rowlands, Lingfeng Jin, Imanol Schlag
- 13 upvotes da comunidade
- Temas: self-attention, softmax attention, recurrent linear-attention, DeltaNet, Gated DeltaNet, Kimi Delta Attention
Resumo
Resumo original (em inglês), extraído do paper:
A comparative analysis of softmax attention and recurrent linear-attention architectures examines their expressivity, memory management, and training efficiency across different parameter scales and sequence lengths.Onde ler
// relacionados
Leia também
Blog
Meta ran ads for an app promising to nudify female politicians
Blog
Relativity Networks raises $22 million to bring a faster kind of fiber to data centers
Blog
Iterative Grasp Pose Refinement: A Deep Reinforcement Learning Approach for 2D Vision
Blog