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  1. Models
  2. Attention

Re-attention

PreviousAttentionNextEnformer

Last updated 3 years ago

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To handle Attention Collapse or learning plateau: re-attention

Attention(Q,K,V)=softmax(Qā‹…KTd)ā‹…VAttention(Q, K, V) = softmax(\frac{{Q}\cdot{K}^{T}}{\sqrt{d}})\cdot{V}Attention(Q,K,V)=softmax(dā€‹Qā‹…KTā€‹)ā‹…V
Reāˆ’attention(Q,K,V)=Norm(ĪøT(softmax(Qā‹…KTd)))ā‹…VRe-attention(Q, K, V) = Norm(\theta^{T}(softmax(\frac{{Q}\cdot{K}^{T}}{\sqrt{d}})))\cdot{V}Reāˆ’attention(Q,K,V)=Norm(ĪøT(softmax(dā€‹Qā‹…KTā€‹)))ā‹…V

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