A comprehensive review of model compression techniques in machine learning
PV Dantas, W Sabino da Silva Jr, LC Cordeiro… - Applied …, 2024 - Springer
This paper critically examines model compression techniques within the machine learning
(ML) domain, emphasizing their role in enhancing model efficiency for deployment in …
(ML) domain, emphasizing their role in enhancing model efficiency for deployment in …
A quantitative framework for evaluating architectural patterns in ML systems
S Emanuilov, A Dimov - arXiv preprint arXiv:2501.11543, 2025 - arxiv.org
Contemporary intelligent systems incorporate software components, including machine
learning components. As they grow in complexity and data volume such machine learning …
learning components. As they grow in complexity and data volume such machine learning …