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What is Neural Network Pruning Techniques Analysis about?

This paper evaluates three neural network pruning techniques—Magnitude-Based Pruning, Movement Pruning, and Lottery Ticket Hypothesis—focusing on their efficiency and performance for edge deployment. A novel Deployment Efficiency Score (DES) is introduced to balance model size, inference speed, energy consumption, and accuracy retention, revealing that no single technique is optimal across all metrics. The study proposes a hybrid pruning strategy that combines Movement Pruning and LTH, achieving the best ov

Author

hivehi9775

Language

EN