ACSL : adaptive correlation-driven sparsity learning for deep neural network compression

Deep convolutional neural network compression has attracted lots of attention due to the need to deploy accurate models on resource-constrained edge devices. Existing techniques mostly focus on compressing networks for image-level classification, and it is not clear if they generalize well on networ...

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Bibliographic Details
Main Authors: He, Wei, Wu, Meiqing, Lam, Siew-Kei
Other Authors: School of Computer Science and Engineering
Format: Article
Language:English
Published: 2021
Subjects:
Online Access:https://hdl.handle.net/10356/152852
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Institution: Nanyang Technological University
Language: English