Approximate Softmax Functions for Energy-Efficient Deep Neural Networks-Reference-Cited by-同舟云学术

Approximate Softmax Functions for Energy-Efficient Deep Neural Networks

Published:2023-01 Issue:1 Volume:31 Page:4-16
ISSN:1063-8210
Container-title:IEEE Transactions on Very Large Scale Integration (VLSI) Systems
language:
Short-container-title:IEEE Trans. VLSI Syst.

Author:

Chen Ke¹^ORCID,Gao Yue¹,Waris Haroon¹^ORCID,Liu Weiqiang¹^ORCID,Lombardi Fabrizio²^ORCID

Affiliation:

1. College of Electronic Information and Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, China

2. Department of Electrical and Computer Engineering, Northeastern University, Boston, MA, USA

Funder

National Natural Science Foundation of China

NSF through the following grants: “An Integrated Framework for System-Level Approximate Computing”, and “Neural-Network-based Stochastic Computing Architectures With Applications to Machine Learning”

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Hardware and Architecture,Software

Link

https://ieeexplore.ieee.org/ielam/92/9998453/9968119-aam.pdf

Reference61 articles.

1. Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks

2. Long Short-Term Memory

3. Deep Neural Networks for Acoustic Modeling in Speech Recognition: The Shared Views of Four Research Groups

4. A High-Throughput and Power-Efficient FPGA Implementation of YOLO CNN for Object Detection

Cited by 9 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. SimBU: Self-Similarity-Based Hybrid Binary-Unary Computing for Nonlinear Functions;IEEE Transactions on Computers;2024-09

2. Energy Efficient Memristive Transiently Chaotic Neural Network for Combinatorial Optimization;IEEE Transactions on Circuits and Systems I: Regular Papers;2024-08

3. Energy-Efficient and High-Throughput CNN Inference Engine Based on Memory-Sharing and Data-Reusing for Edge Applications;IEEE Transactions on Circuits and Systems I: Regular Papers;2024-07

4. Iterative construction of energy and quality-efficient approximate multipliers utilizing lower bit-length counterparts;The Journal of Supercomputing;2024-05-26

5. Energy Efficient Accurate and Approximate Modified Adders for Ternary Multipliers;2024 IEEE International Symposium on Circuits and Systems (ISCAS);2024-05-19