Benchmarking Inference Performance of Deep Learning Models on Analog
Devices

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Benchmarking Inference Performance of Deep Learning Models on Analog Devices

IEEE International Joint Conference on Neural Network (IJCNN), 2020

24 November 2020

Omobayode Fagbohungbe

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Papers citing "Benchmarking Inference Performance of Deep Learning Models on Analog Devices"

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Title
Otters: An Energy-Efficient SpikingTransformer via Optical Time-to-First-Spike Encoding Zhanglu Yan Jiayi Mao Qianhui Liu Fanfan Li Gang Pan Tao Luo Bowen Zhu Weng-Fai Wong 76 1 0 23 Sep 2025
Effect of Batch Normalization on Noise Resistant Property of Deep Learning Models Omobayode Fagbohungbe Lijun Qian 178 13 0 15 May 2022
Impact of Learning Rate on Noise Resistant Property of Deep Learning Models Omobayode Fagbohungbe Lijun Qian 145 5 0 08 May 2022
Impact of L1 Batch Normalization on Analog Noise Resistant Property of Deep Learning ModelsIEEE International Joint Conference on Neural Network (IJCNN), 2022 Omobayode Fagbohungbe Lijun Qian 119 1 0 07 May 2022
Exploring the Impact of Virtualization on the Usability of the Deep Learning Applications Davood Ghatreh Samani M. Salehi 70 8 0 17 Dec 2021
Denoising Noisy Neural Networks: A Bayesian Approach with CompensationIEEE Transactions on Signal Processing (IEEE TSP), 2021 Yulin Shao Soung Chang Liew Deniz Gunduz 310 15 0 22 May 2021
Neural Network Compression for Noisy Storage DevicesACM Transactions on Embedded Computing Systems (TECS), 2021 Berivan Isik Kristy Choi Xin-Yang Zheng Tsachy Weissman Stefano Ermon H. P. Wong Armin Alaghi 158 13 0 15 Feb 2021