Google新作synthesizer：Rethinking Self-Attention in Transformer Models
0. 背景 機構：Google Research 作者：Yi Tay, Dara Bahri, Donald Metzler, Da-Cheng Juan, Zhe Zhao, Che Zheng 論文地址：https://arxiv.org/abs/2005.00743 0.1 摘要 以當下基於Transformer的各種先進模型來看，使用點積自注意力（dot product self-atte
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相關文章
- 1. Synthesizer: Rethinking Self-Attention in Transformer Models
- 2. selfattention
- 3. selfattention記錄
- 4. <Probabilistic Graphical Models>2 Graphical Models in Action
- 5. Transformer-XL: Unleashing the Potential of Attention Models
- 6. transformer詳解：transformer/ universal transformer/ transformer-XL
- 7. 如何理解SelfAttention
- 8. （轉）The Evolved Transformer - Enhancing Transformer with Neural Architecture Search
- 9. How do Transformers Work in NLP? A Guide to the Latest State-of-the-Art Models
- 10. Google新作Synthesizer：我們還不夠了解自注意力