{
  "id": "bayesianattention2020",
  "title": "Bayesian Attention Modules",
  "authors": [
    {
      "given": "Xinjie",
      "family": "Fan"
    },
    {
      "given": "Shujian",
      "family": "Zhang"
    },
    {
      "given": "Bo",
      "family": "Chen"
    },
    {
      "given": "Mingyuan",
      "family": "Zhou"
    }
  ],
  "year": 2020,
  "venue": "NeurIPS 2020",
  "paper_url": "https://arxiv.org/abs/2010.10604",
  "pdf_url": "https://proceedings.neurips.cc/paper_files/paper/2020/file/bcff3f632fd16ff099a49c2f0932b47a-Paper.pdf",
  "summary": "由归一化的可重参数化随机变量构造注意力权重分布，并使用贝叶斯正则化学习。",
  "connection": "把概率注意力发展为带有数据依赖先验的模块化随机权重。",
  "bibtex_type": "inproceedings",
  "citation_key": "fan2020bayesian",
  "source_urls": [
    "https://arxiv.org/abs/2010.10604",
    "https://proceedings.neurips.cc/paper_files/paper/2020/file/bcff3f632fd16ff099a49c2f0932b47a-Paper.pdf"
  ],
  "equal_contribution": [
    "Xinjie Fan",
    "Shujian Zhang"
  ],
  "arxiv_id": "2010.10604",
  "arxiv_first_posted": "2020-10-20",
  "updated_at": "2026-11-11",
  "description_language": "zh-Hans",
  "abstract_language": "en",
  "record_url": "https://yuntiandeng.com/research/zh/papers/bayesianattention2020/"
}