Predicting trends in the quality of state-of-the-art neural networks without access to training or testing data
Crossref DOI link: https://doi.org/10.1038/s41467-021-24025-8
Published Online: 2021-07-05
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Martin, Charles H.
Peng, Tongsu
Mahoney, Michael W. http://orcid.org/0000-0001-7920-4652
Text and Data Mining valid from 2021-07-05
Version of Record valid from 2021-07-05
Article History
Received: 3 October 2020
Accepted: 12 May 2021
First Online: 5 July 2021
Competing interests
: The authors declare no competing interests.