ICML-Attention is not all you need pure attention loses rank doubly exponen ...

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Attention is not all you need:
         pure attention loses rank doubly exponentially with depth

               Yihe Dong 1 Jean-Baptiste Cordonnier 2 Andreas Loukas 3

             Abstract                attention layers. Surprisingly, we find that pure self-
                                 attention networks (SANs), i.e., transformers with skip con-
  Attention-based architectures have become ubiq-       nections and multi-layer perceptrons (MLPs) disabled, lose
  uitous in machine learnin ...

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关键词：Attention Pure Need Lose expo