Fine-Tuning Dropout Regularization in Energy-Based Deep Learning

Gustavo Henrique de Rosa, Mateus Roder, João P. Papa. Fine-Tuning Dropout Regularization in Energy-Based Deep Learning. In João Manuel R. S. Tavares, João Paulo Papa, Manuel González Hidalgo, editors, Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications - 25th Iberoamerican Congress, CIARP 2021, Porto, Portugal, May 10-13, 2021, Revised Selected Papers. Volume 12702 of Lecture Notes in Computer Science, pages 99-108, Springer, 2021. [doi]

@inproceedings{RosaRP21,
  title = {Fine-Tuning Dropout Regularization in Energy-Based Deep Learning},
  author = {Gustavo Henrique de Rosa and Mateus Roder and João P. Papa},
  year = {2021},
  doi = {10.1007/978-3-030-93420-0_10},
  url = {https://doi.org/10.1007/978-3-030-93420-0_10},
  researchr = {https://researchr.org/publication/RosaRP21},
  cites = {0},
  citedby = {0},
  pages = {99-108},
  booktitle = {Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications - 25th Iberoamerican Congress, CIARP 2021, Porto, Portugal, May 10-13, 2021, Revised Selected Papers},
  editor = {João Manuel R. S. Tavares and João Paulo Papa and Manuel González Hidalgo},
  volume = {12702},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-030-93420-0},
}