Jump Self-attention: Capturing High-order Statistics in Transformers

Haoyi Zhou, Siyang Xiao, Shanghang Zhang, Jieqi Peng, Shuai Zhang 0026, Jianxin Li 0002. Jump Self-attention: Capturing High-order Statistics in Transformers. In Sanmi Koyejo, S. Mohamed, A. Agarwal, Danielle Belgrave, K. Cho, A. Oh, editors, Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, NeurIPS 2022, New Orleans, LA, USA, November 28 - December 9, 2022. 2022. [doi]

@inproceedings{ZhouXZP0022,
  title = {Jump Self-attention: Capturing High-order Statistics in Transformers},
  author = {Haoyi Zhou and Siyang Xiao and Shanghang Zhang and Jieqi Peng and Shuai Zhang 0026 and Jianxin Li 0002},
  year = {2022},
  url = {http://papers.nips.cc/paper_files/paper/2022/hash/71ec377d5df1fc61ee7770857820519b-Abstract-Conference.html},
  researchr = {https://researchr.org/publication/ZhouXZP0022},
  cites = {0},
  citedby = {0},
  booktitle = {Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, NeurIPS 2022, New Orleans, LA, USA, November 28 - December 9, 2022},
  editor = {Sanmi Koyejo and S. Mohamed and A. Agarwal and Danielle Belgrave and K. Cho and A. Oh},
  isbn = {9781713871088},
}