A Novel Structure-Agnostic Multi-Objective Approach for Weight-Sharing Compression in Deep Neural Networks

Rasa Khosrowshahli, Shahryar Rahnamayan, Beatrice Ombuki-Berman

Deep neural networks suffer from storing millions and billions of weights in memory post-training, making challenging memory-intensive models to deploy on embedded devices. The wei…