Neural Collapse with Normalized Features: A Geometric Analysis over the Riemannian Manifold

Can Yaras, Peng Wang 0098, Zhihui Zhu, Laura Balzano, Qing Qu 0001. Neural Collapse with Normalized Features: A Geometric Analysis over the Riemannian Manifold. 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{Yaras0ZB022,
  title = {Neural Collapse with Normalized Features: A Geometric Analysis over the Riemannian Manifold},
  author = {Can Yaras and Peng Wang 0098 and Zhihui Zhu and Laura Balzano and Qing Qu 0001},
  year = {2022},
  url = {http://papers.nips.cc/paper_files/paper/2022/hash/4b3cc0d1c897ebcf71aca92a4a26ac83-Abstract-Conference.html},
  researchr = {https://researchr.org/publication/Yaras0ZB022},
  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},
}