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pro vyhledávání: '"Hashemizadeh, Meraj"'
Autor:
Hashemizadeh, Meraj, Ramirez, Juan, Sukumaran, Rohan, Farnadi, Golnoosh, Lacoste-Julien, Simon, Gallego-Posada, Jose
Model pruning is a popular approach to enable the deployment of large deep learning models on edge devices with restricted computational or storage capacities. Although sparse models achieve performance comparable to that of their dense counterparts
Externí odkaz:
http://arxiv.org/abs/2310.20673
Tensor Networks (TN) offer a powerful framework to efficiently represent very high-dimensional objects. TN have recently shown their potential for machine learning applications and offer a unifying view of common tensor decomposition models such as T
Externí odkaz:
http://arxiv.org/abs/2008.05437