Constructing Energy-efficient Mixed-precision Neural Networks through Principal Component Analysis for Edge Intelligence

4 June 2019

Papers citing "Constructing Energy-efficient Mixed-precision Neural Networks through Principal Component Analysis for Edge Intelligence"

6 / 6 papers shown

Title
A Plug-in Tiny AI Module for Intelligent and Selective Sensor Data Transmission Wenjun Huang Arghavan Rezvani Hanning Chen Yang Ni Sanggeon Yun Sungheon Jeong Mohsen Imani 29 7 0 03 Feb 2024
A novel approach for Fair Principal Component Analysis based on eigendecomposition G. D. Pelegrina L. Duarte FaML 25 11 0 24 Aug 2022
Mixed-Precision Neural Networks: A Survey M. Rakka M. Fouda Pramod P. Khargonekar Fadi J. Kurdahi MQ 25 11 0 11 Aug 2022
Complexity-aware Adaptive Training and Inference for Edge-Cloud Distributed AI Systems Yinghan Long I. Chakraborty G. Srinivasan Kaushik Roy 22 14 0 14 Sep 2021
Activation Density based Mixed-Precision Quantization for Energy Efficient Neural Networks Karina Vasquez Yeshwanth Venkatesha Abhiroop Bhattacharjee Abhishek Moitra Priyadarshini Panda MQ 40 15 0 12 Jan 2021
Exploring the Connection Between Binary and Spiking Neural Networks Sen Lu Abhronil Sengupta MQ 14 100 0 24 Feb 2020