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Provable Benefits of Overparameterization in Model Compression: From Double Descent to Pruning Neural Networks
Author(s) -
Xiangyu Chang,
Yingcong Li,
Samet Oymak,
Christos Thrampoulidis
Publication year - 2021
Publication title -
proceedings of the aaai conference on artificial intelligence
Language(s) - English
Resource type - Journals
eISSN - 2374-3468
pISSN - 2159-5399
DOI - 10.1609/aaai.v35i8.16859
Subject(s) - pruning , computer science , artificial neural network , feature (linguistics) , deep neural networks , parameterized complexity , artificial intelligence , machine learning , algorithm , linguistics , philosophy , agronomy , biology

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