EPE-NAS: Efficient Performance Estimation Without Training for Neural Architecture Search

Vasco Lopes, Saeid Alirezazadeh, Luís A. Alexandre. EPE-NAS: Efficient Performance Estimation Without Training for Neural Architecture Search. In Igor Farkas, Paolo Masulli, Sebastian Otte, Stefan Wermter, editors, Artificial Neural Networks and Machine Learning - ICANN 2021 - 30th International Conference on Artificial Neural Networks, Bratislava, Slovakia, September 14-17, 2021, Proceedings, Part V. Volume 12895 of Lecture Notes in Computer Science, pages 552-563, Springer, 2021. [doi]

@inproceedings{LopesAA21,
  title = {EPE-NAS: Efficient Performance Estimation Without Training for Neural Architecture Search},
  author = {Vasco Lopes and Saeid Alirezazadeh and Luís A. Alexandre},
  year = {2021},
  doi = {10.1007/978-3-030-86383-8_44},
  url = {https://doi.org/10.1007/978-3-030-86383-8_44},
  researchr = {https://researchr.org/publication/LopesAA21},
  cites = {0},
  citedby = {0},
  pages = {552-563},
  booktitle = {Artificial Neural Networks and Machine Learning - ICANN 2021 - 30th International Conference on Artificial Neural Networks, Bratislava, Slovakia, September 14-17, 2021, Proceedings, Part V},
  editor = {Igor Farkas and Paolo Masulli and Sebastian Otte and Stefan Wermter},
  volume = {12895},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-030-86383-8},
}