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Weight Reparametrization for Budget-Aware Network Pruning
2021
2021 IEEE International Conference on Image Processing (ICIP)
Pruning seeks to design lightweight architectures by removing redundant weights in overparameterized networks. Most of the existing techniques first remove structured subnetworks (filters, channels,...) and then fine-tune the resulting networks to maintain a high accuracy. However, removing a whole structure is a strong topological prior and recovering the accuracy, with fine-tuning, is highly cumbersome. In this paper, we introduce an "end-to-end" lightweight network design that achieves
doi:10.1109/icip42928.2021.9506265
fatcat:jk2rxnfcejfqtgf25ijgbnzz5i