Watt for What: Rethinking Deep Learning's Energy-Performance Relationship

Cite

Text

Gowda et al. "Watt for What: Rethinking Deep Learning's Energy-Performance Relationship." European Conference on Computer Vision Workshops, 2024. doi:10.1007/978-3-031-92089-9_24

Markdown

[Gowda et al. "Watt for What: Rethinking Deep Learning's Energy-Performance Relationship." European Conference on Computer Vision Workshops, 2024.](https://mlanthology.org/eccvw/2024/gowda2024eccvw-watt/) doi:10.1007/978-3-031-92089-9_24

BibTeX

@inproceedings{gowda2024eccvw-watt,
  title     = {{Watt for What: Rethinking Deep Learning's Energy-Performance Relationship}},
  author    = {Gowda, Shreyank N. and Hao, Xinyue and Li, Gen and Gowda, Shashank Narayana and Jin, Xiaobo and Sevilla-Lara, Laura},
  booktitle = {European Conference on Computer Vision Workshops},
  year      = {2024},
  pages     = {388-405},
  doi       = {10.1007/978-3-031-92089-9_24},
  url       = {https://mlanthology.org/eccvw/2024/gowda2024eccvw-watt/}
}