Controlled dropout: A different dropout for improving training speed on deep neural network

ByungSoo Ko, Han-Gyu Kim, Ho-Jin Choi. Controlled dropout: A different dropout for improving training speed on deep neural network. In 2017 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2017, Banff, AB, Canada, October 5-8, 2017. pages 972-977, IEEE, 2017. [doi]

@inproceedings{KoKC17-0,
  title = {Controlled dropout: A different dropout for improving training speed on deep neural network},
  author = {ByungSoo Ko and Han-Gyu Kim and Ho-Jin Choi},
  year = {2017},
  doi = {10.1109/SMC.2017.8122736},
  url = {https://doi.org/10.1109/SMC.2017.8122736},
  researchr = {https://researchr.org/publication/KoKC17-0},
  cites = {0},
  citedby = {0},
  pages = {972-977},
  booktitle = {2017 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2017, Banff, AB, Canada, October 5-8, 2017},
  publisher = {IEEE},
  isbn = {978-1-5386-1645-1},
}