Data Leverage References

← Back to browse

Deep learning scaling is predictable, empirically

2017 article hestness_deep_2017 Not yet verified
Authors
Hestness, Joel, Narang, Sharan, Ardalani, Newsha, Diamos, Gregory, Jun, Heewoo, Kianinejad, Hassan, Patwary, Md, Ali, Mostofa, Yang, Yang, Zhou, Yanqi
Venue
arXiv preprint arXiv:1712.00409
Keywords
scaling, thesis

BibTeX

Local Entry
@article{hestness_deep_2017,
  title = {Deep learning scaling is predictable, empirically},
  author = {Hestness, Joel and Narang, Sharan and Ardalani, Newsha and Diamos, Gregory and Jun, Heewoo and Kianinejad, Hassan and Patwary, Md and Ali, Mostofa and Yang, Yang and Zhou, Yanqi},
  year = {2017},
  journal = {arXiv preprint arXiv:1712.00409},
  url = {https://arxiv.org/abs/1712.00409}
}
From OPENALEX
@article{hestness_deep_2017,
  title = {Deep Learning Scaling is Predictable, Empirically},
  author = {Joel Hestness and Sharan Narang and Newsha Ardalani and Gregory Diamos and Heewoo Jun and Hassan Kianinejad and Md. Mostofa Ali Patwary and Yang Yang and Yanqi Zhou},
  year = {2017},
  journal = {arXiv (Cornell University)},
  doi = {10.48550/arxiv.1712.00409}
}