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pro vyhledávání: '"ROBERT THOMAS"'
We introduce LDAdam, a memory-efficient optimizer for training large models, that performs adaptive optimization steps within lower dimensional subspaces, while consistently exploring the full parameter space during training. This strategy keeps the
Externí odkaz:
http://arxiv.org/abs/2410.16103
Autor:
Modoranu, Ionut-Vlad, Safaryan, Mher, Malinovsky, Grigory, Kurtic, Eldar, Robert, Thomas, Richtarik, Peter, Alistarh, Dan
We propose a new variant of the Adam optimizer called MicroAdam that specifically minimizes memory overheads, while maintaining theoretical convergence guarantees. We achieve this by compressing the gradient information before it is fed into the opti
Externí odkaz:
http://arxiv.org/abs/2405.15593
Autor:
Quarrie, John
Publikováno v:
BMJ: British Medical Journal, 2006 Apr 01. 332(7545), 857-857.
Externí odkaz:
https://www.jstor.org/stable/25456618
Autor:
Friedmann, Herbert
Publikováno v:
The Auk, 1964 Jul 01. 81(3), 326-331.
Externí odkaz:
https://www.jstor.org/stable/4082688
Autor:
Cox, H. J., Skipper, J. J.
Publikováno v:
BMJ: British Medical Journal, 1998 Jun . 316(7147), 1833-1833.
Externí odkaz:
https://www.jstor.org/stable/25179544
Autor:
Mills, Alistair1 (AUTHOR)
Publikováno v:
Judicial Review. Jun2024, Vol. 29 Issue 2, p138-144. 7p.
Publikováno v:
2023 IEEE International Conference on Big Data - 6th Annual Workshop on Cyber Threat Intelligence and Hunting, Dec 2023, Sorrento, Italy, France
The use of free and open source software (FOSS) components in all software systems is estimated to be above 90%. With such high usage and because of the heterogeneity of FOSS tools, repositories, developers and ecosystem, the level of complexity of m
Externí odkaz:
http://arxiv.org/abs/2311.11725