Feature Variance Regularization: A Simple Way to Improve the Generalizability of Neural Networks

Ranran Huang, Hanbo Sun, Ji Liu, Lu Tian, Li Wang, Yi Shan, Yu Wang. Feature Variance Regularization: A Simple Way to Improve the Generalizability of Neural Networks. In The Thirty-Fourth AAAI Conference on Artificial Intelligence, AAAI 2020, The Thirty-Second Innovative Applications of Artificial Intelligence Conference, IAAI 2020, The Tenth AAAI Symposium on Educational Advances in Artificial Intelligence, EAAI 2020, New York, NY, USA, February 7-12, 2020. pages 4190-4197, AAAI Press, 2020. [doi]

@inproceedings{HuangSLTWSW20,
  title = {Feature Variance Regularization: A Simple Way to Improve the Generalizability of Neural Networks},
  author = {Ranran Huang and Hanbo Sun and Ji Liu and Lu Tian and Li Wang and Yi Shan and Yu Wang},
  year = {2020},
  url = {https://aaai.org/ojs/index.php/AAAI/article/view/5840},
  researchr = {https://researchr.org/publication/HuangSLTWSW20},
  cites = {0},
  citedby = {0},
  pages = {4190-4197},
  booktitle = {The Thirty-Fourth AAAI Conference on Artificial Intelligence, AAAI 2020, The Thirty-Second Innovative Applications of Artificial Intelligence Conference, IAAI 2020, The Tenth AAAI Symposium on Educational Advances in Artificial Intelligence, EAAI 2020, New York, NY, USA, February 7-12, 2020},
  publisher = {AAAI Press},
  isbn = {978-1-57735-823-7},
}