Unleashing the Potential of Spiking Neural Networks by Dynamic Confidence

17 March 2023

Papers citing "Unleashing the Potential of Spiking Neural Networks by Dynamic Confidence"

8 / 8 papers shown

Title
PASCAL: Precise and Efficient ANN- SNN Conversion using Spike Accumulation and Adaptive Layerwise Activation Pranav Ramesh Gopalakrishnan Srinivasan 22 0 0 03 May 2025
Bayesian Inference Accelerator for Spiking Neural Networks Prabodh Katti Anagha Nimbekar Chen Li Amit Acharyya Bashir M. Al-Hashimi Bipin Rajendran TPM 15 2 0 27 Jan 2024
Optimal ANN-SNN Conversion for High-accuracy and Ultra-low-latency Spiking Neural Networks Tong Bu Wei Fang Jianhao Ding Penglin Dai Zhaofei Yu Tiejun Huang 105 193 0 08 Mar 2023
Converting Artificial Neural Networks to Spiking Neural Networks via Parameter Calibration Yuhang Li Shi-Wee Deng Xin Dong Shi Gu 46 23 0 06 May 2022
Optimal Conversion of Conventional Artificial Neural Networks to Spiking Neural Networks Shi-Wee Deng Shi Gu 116 197 0 28 Feb 2021
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications Andrew G. Howard Menglong Zhu Bo Chen Dmitry Kalenichenko Weijun Wang Tobias Weyand M. Andreetto Hartwig Adam 3DH 948 20,471 0 17 Apr 2017
Neuromorphic Deep Learning Machines Emre Neftci C. Augustine Somnath Paul Georgios Detorakis BDL 124 257 0 16 Dec 2016
Densely Connected Convolutional Networks Gao Huang Zhuang Liu L. V. D. van der Maaten Kilian Q. Weinberger PINN 3DV 247 36,237 0 25 Aug 2016