• Corpus ID: 240354799

Skyformer: Remodel Self-Attention with Gaussian Kernel and Nyström Method

@article{Chen2021SkyformerRS,
  title={Skyformer: Remodel Self-Attention with Gaussian Kernel and Nystr{\"o}m Method},
  author={Yifan Chen and Qi Zeng and Heng Ji and Yun Yang},
  journal={ArXiv},
  year={2021},
  volume={abs/2111.00035}
}
Transformers are expensive to train due to the quadratic time and space complexity in the self-attention mechanism. On the other hand, although kernel machines suffer from the same computation bottleneck in pairwise dot products, several approximation schemes have been successfully incorporated to considerably reduce their computational cost without sacrificing too much accuracy. In this work, we leverage the computation methods for kernel machines to alleviate the high computational cost and… 

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