Deep neural network compression : from sufficient to scarce data

• Main Author: Chen, Shangyu
• Other Authors: Sinno Jialin Pan
• Format: Thesis-Doctor of Philosophy
• Language: English
• Published: Nanyang Technological University 2021
• Subjects: Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence
• Online Access: https://hdl.handle.net/10356/146245
• Institution: Nanyang Technological University

The success of overparameterized deep neural networks (DNNs) poses a great challenge to deploy computationally expensive models on edge devices. Numerous model compression (pruning, quantization) methods have been proposed to overcome this challenge: Pruning eliminates unimportant parameters, while...