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pro vyhledávání: '"Zhang, Jinjie"'
Several recent studies have investigated low-precision accumulation, reporting improvements in throughput, power, and area across various platforms. However, the accompanying proposals have only considered the quantization-aware training (QAT) paradi
Externí odkaz:
http://arxiv.org/abs/2409.17092
Autor:
Zhang, Jinjie, Saab, Rayan
Quantization is a widely used compression method that effectively reduces redundancies in over-parameterized neural networks. However, existing quantization techniques for deep neural networks often lack a comprehensive error analysis due to the pres
Externí odkaz:
http://arxiv.org/abs/2309.10975
Publikováno v:
Shipin Kexue, Vol 45, Iss 6, Pp 192-198 (2024)
In order to investigate the effects of different thawing methods on the eating quality of frozen salted crab and further to select the best thawing method, this study compared and analyzed the thawing curves using five thawing methods including low t
Externí odkaz:
https://doaj.org/article/e4da497e8620496e9daf7634ff90307b
Publikováno v:
In International Journal of Hydrogen Energy 26 November 2024 92:349-366
Publikováno v:
In Journal of Wind Engineering & Industrial Aerodynamics November 2024 254
Publikováno v:
In International Journal of Mechanical Sciences 1 October 2024 279
Publikováno v:
In Mechanical Systems and Signal Processing 1 October 2024 219
Publikováno v:
In Food Chemistry 15 September 2024 452
Publikováno v:
In Food Chemistry 1 February 2025 464 Part 2
Publikováno v:
In Measurement January 2025 242 Part A