@inproceedings{ito:hal-04317167,
  TITLE = {{The Bonsai Hypothesis: An Efficient Network Pruning Technique}},
  AUTHOR = {Ito, Yasuaki and Nakano, Koji and Kasagi, Akihiko},
  URL = {https://inria.hal.science/hal-04317167},
  NOTE = {Part 3: Deep Learning - Convolutional},
  BOOKTITLE = {{18th IFIP International Conference on Artificial Intelligence Applications and Innovations (AIAI)}},
  ADDRESS = {Hersonissos, Greece},
  EDITOR = {Ilias Maglogiannis and Lazaros Iliadis and John Macintyre and Paulo Cortez},
  PUBLISHER = {{Springer International Publishing}},
  SERIES = {Artificial Intelligence Applications and Innovations},
  VOLUME = {AICT-646},
  NUMBER = {Part I},
  PAGES = {229-241},
  YEAR = {2022},
  MONTH = Jun,
  DOI = {10.1007/978-3-031-08333-4\_19},
  KEYWORDS = {Model compression ; Channel pruning ; Machine learning ; Convolutional neural network},
  PDF = {https://inria.hal.science/hal-04317167/file/527511_1_En_19_Chapter.pdf},
  HAL_ID = {hal-04317167},
  HAL_VERSION = {v1},
}