EIGEN: Ecologically-Inspired GENetic Approach for Neural Network Structure Searching From Scratch

Jian Ren, Zhe Li 0008, Jianchao Yang, Ning Xu, Tianbao Yang, David J. Foran. EIGEN: Ecologically-Inspired GENetic Approach for Neural Network Structure Searching From Scratch. In IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2019, Long Beach, CA, USA, June 16-20, 2019. pages 9059-9068, Computer Vision Foundation / IEEE, 2019. [doi]

@inproceedings{Ren0YXYF19,
  title = {EIGEN: Ecologically-Inspired GENetic Approach for Neural Network Structure Searching From Scratch},
  author = {Jian Ren and Zhe Li 0008 and Jianchao Yang and Ning Xu and Tianbao Yang and David J. Foran},
  year = {2019},
  url = {http://openaccess.thecvf.com/content_CVPR_2019/html/Ren_EIGEN_Ecologically-Inspired_GENetic_Approach_for_Neural_Network_Structure_Searching_From_CVPR_2019_paper.html},
  researchr = {https://researchr.org/publication/Ren0YXYF19},
  cites = {0},
  citedby = {0},
  pages = {9059-9068},
  booktitle = {IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2019, Long Beach, CA, USA, June 16-20, 2019},
  publisher = {Computer Vision Foundation / IEEE},
}