Accelerator Design for Vector Quantized Convolutional Neural Network-Reference-Cited by-同舟云学术

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Accelerator Design for Vector Quantized Convolutional Neural Network

Published:2019-03 Issue: Volume: Page:
ISSN:
Container-title:2019 IEEE International Conference on Artificial Intelligence Circuits and Systems (AICAS)
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Author:

Wu Yi-Heng,Lee Heng,Lin Yu Sheng,Chien Shao-Yi

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8766332/8771465/08771469.pdf?arnumber=8771469

Cited by 5 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. AdaPQ: Adaptive Exploration Product Quantization with Adversary-Aware Block Size Selection Toward Compression Efficiency;Lecture Notes in Computer Science;2024

2. High Performance and Energy Efficient AMD and BWAD Pooling Schemes Characterised for CNN Accelerators;2023 26th Euromicro Conference on Digital System Design (DSD);2023-09-06

3. Mechanically resilient, alumina-reinforced carbon nanotube arrays for in-plane shock absorption in micromechanical devices;Microsystems & Nanoengineering;2023-06-08

4. Quantization Effects in a CNN-based Channel Estimator;2023 IEEE Radio and Wireless Symposium (RWS);2023-01-22

5. Vectorized Winograd’s algorithm for Convolution Neural networks;2021 IEEE Intl Conf on Parallel & Distributed Processing with Applications, Big Data & Cloud Computing, Sustainable Computing & Communications, Social Computing & Networking (ISPA/BDCloud/SocialCom/SustainCom);2021-09

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