MMA Regularization: Decorrelating Weights of Neural Networks by Maximizing the Minimal Angles

Zhennan Wang, Canqun Xiang, Wenbin Zou, Chen Xu 0004. MMA Regularization: Decorrelating Weights of Neural Networks by Maximizing the Minimal Angles. In Hugo Larochelle, Marc'Aurelio Ranzato, Raia Hadsell, Maria-Florina Balcan, Hsuan-Tien Lin, editors, Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, NeurIPS 2020, December 6-12, 2020, virtual. 2020. [doi]

@inproceedings{WangXZ020,
  title = {MMA Regularization: Decorrelating Weights of Neural Networks by Maximizing the Minimal Angles},
  author = {Zhennan Wang and Canqun Xiang and Wenbin Zou and Chen Xu 0004},
  year = {2020},
  url = {https://proceedings.neurips.cc/paper/2020/hash/dcd2f3f312b6705fb06f4f9f1b55b55c-Abstract.html},
  researchr = {https://researchr.org/publication/WangXZ020},
  cites = {0},
  citedby = {0},
  booktitle = {Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, NeurIPS 2020, December 6-12, 2020, virtual},
  editor = {Hugo Larochelle and Marc'Aurelio Ranzato and Raia Hadsell and Maria-Florina Balcan and Hsuan-Tien Lin},
}