Searching for Energy-Efficient Hybrid Adder-Convolution Neural Networks

Wenshuo Li, Xinghao Chen 0001, Jinyu Bai, Xuefei Ning, Yunhe Wang. Searching for Energy-Efficient Hybrid Adder-Convolution Neural Networks. In IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPR Workshops 2022, New Orleans, LA, USA, June 19-20, 2022. pages 1942-1951, IEEE, 2022. [doi]

@inproceedings{Li0BNW22,
  title = {Searching for Energy-Efficient Hybrid Adder-Convolution Neural Networks},
  author = {Wenshuo Li and Xinghao Chen 0001 and Jinyu Bai and Xuefei Ning and Yunhe Wang},
  year = {2022},
  doi = {10.1109/CVPRW56347.2022.00211},
  url = {https://doi.org/10.1109/CVPRW56347.2022.00211},
  researchr = {https://researchr.org/publication/Li0BNW22},
  cites = {0},
  citedby = {0},
  pages = {1942-1951},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPR Workshops 2022, New Orleans, LA, USA, June 19-20, 2022},
  publisher = {IEEE},
  isbn = {978-1-6654-8739-9},
}