Sparsity in Deep Neural Networks - An Empirical Investigation with TensorQuant

Dominik Marek Loroch, Franz-Josef Pfreundt, Norbert Wehn, Janis Keuper. Sparsity in Deep Neural Networks - An Empirical Investigation with TensorQuant. In Anna Monreale, Carlos Alzate, Michael Kamp, Yamuna Krishnamurthy, Daniel Paurat, Moamar Sayed Mouchaweh, Albert Bifet, João Gama, Rita P. Ribeiro, editors, ECML PKDD 2018 Workshops - DMLE 2018 and IoTStream 2018, Dublin, Ireland, September 10-14, 2018, Revised Selected Papers. Volume 967 of Communications in Computer and Information Science, pages 5-20, Springer, 2018. [doi]

@inproceedings{LorochPWK18,
  title = {Sparsity in Deep Neural Networks - An Empirical Investigation with TensorQuant},
  author = {Dominik Marek Loroch and Franz-Josef Pfreundt and Norbert Wehn and Janis Keuper},
  year = {2018},
  doi = {10.1007/978-3-030-14880-5_1},
  url = {https://doi.org/10.1007/978-3-030-14880-5_1},
  researchr = {https://researchr.org/publication/LorochPWK18},
  cites = {0},
  citedby = {0},
  pages = {5-20},
  booktitle = {ECML PKDD 2018 Workshops - DMLE 2018 and IoTStream 2018, Dublin, Ireland, September 10-14, 2018, Revised Selected Papers},
  editor = {Anna Monreale and Carlos Alzate and Michael Kamp and Yamuna Krishnamurthy and Daniel Paurat and Moamar Sayed Mouchaweh and Albert Bifet and João Gama and Rita P. Ribeiro},
  volume = {967},
  series = {Communications in Computer and Information Science},
  publisher = {Springer},
  isbn = {978-3-030-14880-5},
}