DAda-NC: A Decoupled Adaptive Online Training Algorithm for Deep Learning Under Non-convex Conditions

Yangfan Zhou, Cheng Cheng, Jiang Li, Yafei Ji, Haoyuan Wang, Xuguang Wang, Xin Liu. DAda-NC: A Decoupled Adaptive Online Training Algorithm for Deep Learning Under Non-convex Conditions. In Fuchun Sun 0001, Dewen Hu, Stefan Wermter, Lei Yang, Huaping Liu 0001, Bin Fang 0003, editors, Cognitive Systems and Information Processing - 6th International Conference, ICCSIP 2021, Suzhou, China, November 20-21, 2021, Revised Selected Papers. Volume 1515 of Communications in Computer and Information Science, pages 76-88, Springer, 2021. [doi]

@inproceedings{ZhouCLJWWL21,
  title = {DAda-NC: A Decoupled Adaptive Online Training Algorithm for Deep Learning Under Non-convex Conditions},
  author = {Yangfan Zhou and Cheng Cheng and Jiang Li and Yafei Ji and Haoyuan Wang and Xuguang Wang and Xin Liu},
  year = {2021},
  doi = {10.1007/978-981-16-9247-5_6},
  url = {https://doi.org/10.1007/978-981-16-9247-5_6},
  researchr = {https://researchr.org/publication/ZhouCLJWWL21},
  cites = {0},
  citedby = {0},
  pages = {76-88},
  booktitle = {Cognitive Systems and Information Processing - 6th International Conference, ICCSIP 2021, Suzhou, China, November 20-21, 2021, Revised Selected Papers},
  editor = {Fuchun Sun 0001 and Dewen Hu and Stefan Wermter and Lei Yang and Huaping Liu 0001 and Bin Fang 0003},
  volume = {1515},
  series = {Communications in Computer and Information Science},
  publisher = {Springer},
  isbn = {978-981-16-9247-5},
}