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

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

Nature Machine Intelligence (NMI), 2019

4 June 2019

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

13 / 13 papers shown

Title
Spatio-Temporal Pruning for Compressed Spiking Large Language Models Yi Jiang Malyaban Bal Brian Matejek Susmit Jha Adam D. Cobb Abhronil Sengupta 68 0 0 23 Aug 2025
Where and How to Enhance: Discovering Bit-Width Contribution for Mixed Precision QuantizationInternational Joint Conference on Artificial Intelligence (IJCAI), 2025 Haidong Kang Lianbo Ma Guo-Ding Yu Shangce Gao MQ 192 1 0 05 Aug 2025
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 129 9 0 03 Feb 2024
A novel approach for Fair Principal Component Analysis based on eigendecompositionIEEE Transactions on Artificial Intelligence (IEEE TAI), 2022 G. D. Pelegrina L. Duarte FaML 183 15 0 24 Aug 2022
Mixed-Precision Neural Networks: A Survey M. Rakka M. Fouda Pramod P. Khargonekar Fadi J. Kurdahi MQ 280 19 0 11 Aug 2022
Complexity-aware Adaptive Training and Inference for Edge-Cloud Distributed AI Systems Yinghan Long I. Chakraborty G. Srinivasan Kaushik Roy 180 15 0 14 Sep 2021
AdderNet and its Minimalist Hardware Design for Energy-Efficient Artificial Intelligence Yunhe Wang Mingqiang Huang Kai Han Hanting Chen Wei Zhang Chunjing Xu Dacheng Tao 261 41 0 25 Jan 2021
Activation Density based Mixed-Precision Quantization for Energy Efficient Neural NetworksDesign, Automation and Test in Europe (DATE), 2021 Karina Vasquez Yeshwanth Venkatesha Abhiroop Bhattacharjee Abhishek Moitra Priyadarshini Panda MQ 148 16 0 12 Jan 2021
Exposing the Robustness and Vulnerability of Hybrid 8T-6T SRAM Memory Architectures to Adversarial Attacks in Deep Neural Networks Abhishek Moitra Priyadarshini Panda AAML 169 2 0 26 Nov 2020
DIET-SNN: Direct Input Encoding With Leakage and Threshold Optimization in Deep Spiking Neural Networks Nitin Rathi Kaushik Roy 310 145 0 09 Aug 2020
Conditionally Deep Hybrid Neural Networks Across Edge and Cloud Yinghan Long I. Chakraborty Kaushik Roy 100 4 0 21 May 2020
QUANOS- Adversarial Noise Sensitivity Driven Hybrid Quantization of Neural Networks Priyadarshini Panda MQ AAML 196 30 0 22 Apr 2020
Exploring the Connection Between Binary and Spiking Neural NetworksFrontiers in Neuroscience (Front. Neurosci.), 2020 Sen Lu Abhronil Sengupta MQ 179 109 0 24 Feb 2020