Evaluating the merits of ranking in structured network pruning

• Main Authors: Sharma, Kuldeep, Ramakrishnan, Nirmala, Prakash, Alok, Lam, Siew-Kei, Srikanthan, Thambipillai
• Other Authors: School of Computer Science and Engineering
• Format: Conference or Workshop Item
• Language: English
• Published: 2021
• Subjects: Engineering::Computer science and engineering; Neural Networks; Structured Pruning
• Online Access: https://hdl.handle.net/10356/147716
• Institution: Nanyang Technological University

Pruning of channels in trained deep neural networks has been widely used to implement efficient DNNs that can be deployed on embedded/mobile devices. Majority of existing techniques employ criteria-based sorting of the channels to preserve salient channels during pruning as well as to automatically...