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pro vyhledávání: '"Theus, Alexander"'
Autor:
Theus, Alexander, Geimer, Olin, Wicke, Friedrich, Hofmann, Thomas, Anagnostidis, Sotiris, Singh, Sidak Pal
Structural pruning of neural networks conventionally relies on identifying and discarding less important neurons, a practice often resulting in significant accuracy loss that necessitates subsequent fine-tuning efforts. This paper introduces a novel
Externí odkaz:
http://arxiv.org/abs/2402.07839
