@inproceedings{jia:hal-01648007,
  TITLE = {{QIM: Quantifying Hyperparameter Importance for Deep Learning}},
  AUTHOR = {Jia, Dan and Wang, Rui and Xu, Chengzhong and Yu, Zhibin},
  URL = {https://inria.hal.science/hal-01648007},
  NOTE = {Part 5: Data Processing and Big Data},
  BOOKTITLE = {{13th IFIP International Conference on Network and Parallel Computing (NPC)}},
  ADDRESS = {Xi'an, China},
  EDITOR = {Guang R. Gao and Depei Qian and Xinbo Gao and Barbara Chapman and Wenguang Chen},
  PUBLISHER = {{Springer International Publishing}},
  SERIES = {Network and Parallel Computing},
  VOLUME = {LNCS-9966},
  PAGES = {180-188},
  YEAR = {2016},
  MONTH = Oct,
  DOI = {10.1007/978-3-319-47099-3\_15},
  KEYWORDS = {Deep learning ; Plackett-burman design ; Hyperparameter},
  PDF = {https://inria.hal.science/hal-01648007/file/432484_1_En_15_Chapter.pdf},
  HAL_ID = {hal-01648007},
  HAL_VERSION = {v1},
}