Uni-Perceiver-MoE: Learning Sparse Generalist Models with Conditional MoEs

Jinguo Zhu, Xizhou Zhu, Wenhai Wang, Xiaohua Wang, Hongsheng Li, Xiaogang Wang, Jifeng Dai. Uni-Perceiver-MoE: Learning Sparse Generalist Models with Conditional MoEs. 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{ZhuZWWLWD22,
  title = {Uni-Perceiver-MoE: Learning Sparse Generalist Models with Conditional MoEs},
  author = {Jinguo Zhu and Xizhou Zhu and Wenhai Wang and Xiaohua Wang and Hongsheng Li and Xiaogang Wang and Jifeng Dai},
  year = {2022},
  url = {http://papers.nips.cc/paper_files/paper/2022/hash/11fc8c98b46d4cbdfe8157267228f7d7-Abstract-Conference.html},
  researchr = {https://researchr.org/publication/ZhuZWWLWD22},
  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},
}