Transformed Low-Rank Parameterization Can Help Robust Generalization for Tensor Neural Networks

Andong Wang, Chao Li, Mingyuan Bai, Zhong Jin, GuoXu Zhou, Qibin Zhao. Transformed Low-Rank Parameterization Can Help Robust Generalization for Tensor Neural Networks. In Alice Oh, Tristan Naumann, Amir Globerson, Kate Saenko, Moritz Hardt, Sergey Levine, editors, Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, NeurIPS 2023, New Orleans, LA, USA, December 10 - 16, 2023. 2023. [doi]

@inproceedings{WangLBJZZ23,
  title = {Transformed Low-Rank Parameterization Can Help Robust Generalization for Tensor Neural Networks},
  author = {Andong Wang and Chao Li and Mingyuan Bai and Zhong Jin and GuoXu Zhou and Qibin Zhao},
  year = {2023},
  url = {http://papers.nips.cc/paper_files/paper/2023/hash/092c2d45005ea2db40fc24c470663416-Abstract-Conference.html},
  researchr = {https://researchr.org/publication/WangLBJZZ23},
  cites = {0},
  citedby = {0},
  booktitle = {Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, NeurIPS 2023, New Orleans, LA, USA, December 10 - 16, 2023},
  editor = {Alice Oh and Tristan Naumann and Amir Globerson and Kate Saenko and Moritz Hardt and Sergey Levine},
}