DeepCABAC: A Universal Compression Algorithm for Deep Neural Networks-Reference-Cited by-同舟云学术

DeepCABAC: A Universal Compression Algorithm for Deep Neural Networks

Published:2020-05 Issue:4 Volume:14 Page:700-714
ISSN:1932-4553
Container-title:IEEE Journal of Selected Topics in Signal Processing
language:
Short-container-title:IEEE J. Sel. Top. Signal Process.

Author:

Wiedemann Simon¹^ORCID,Kirchhoffer Heiner¹,Matlage Stefan¹,Haase Paul¹^ORCID,Marban Arturo¹,Marinc Talmaj¹,Neumann David¹,Nguyen Tung¹^ORCID,Schwarz Heiko¹^ORCID,Wiegand Thomas¹,Marpe Detlev¹^ORCID,Samek Wojciech¹^ORCID

Affiliation:

1. Fraunhofer Heinrich Hertz Institute, Berlin, Germany

Funder

German Ministry for Education through the Berlin Big Data Center

Berlin Center for Machine Learning

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Signal Processing

Link

http://xplorestaging.ieee.org/ielx7/4200690/9163420/08970294.pdf?arnumber=8970294

Cited by 70 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. Progressive updates of convolutional neural networks for enhanced reliability in small satellite applications;Computer Communications;2024-09

2. Federated learning for spiking neural networks by hint-layer knowledge distillation;Applied Soft Computing;2024-09

3. AirNet: Neural Network Transmission Over the Air;IEEE Transactions on Wireless Communications;2024-09

4. LOCo: LPDDR Optimization with Compression and IECC scheme for DNN Inference;Proceedings of the 29th ACM/IEEE International Symposium on Low Power Electronics and Design;2024-08-05

5. Enhancing sports image data classification in federated learning through genetic algorithm-based optimization of base architecture;PLOS ONE;2024-07-11