On the Role of Structured Pruning for Neural Network Compression
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Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9506008/9506009/09506708.pdf?arnumber=9506708
Cited by 7 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. The Simpler The Better: An Entropy-Based Importance Metric to Reduce Neural Networks’ Depth;Lecture Notes in Computer Science;2024
2. Can Unstructured Pruning Reduce the Depth in Deep Neural Networks?;2023 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW);2023-10-02
3. AIoT-based Neural Decoding and Neurofeedback for Accelerated Cognitive Training: Vision, Directions and Preliminary Results;2023 IEEE Statistical Signal Processing Workshop (SSP);2023-07-02
4. Towards Efficient Capsule Networks;2022 IEEE International Conference on Image Processing (ICIP);2022-10-16
5. Efficient Inference Of Image-Based Neural Network Models In Reconfigurable Systems With Pruning And Quantization;2022 IEEE International Conference on Image Processing (ICIP);2022-10-16
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