Hoyer regularizer is all you need for ultra low-latency spiking neural networks

20 December 2022

Papers citing "Hoyer regularizer is all you need for ultra low-latency spiking neural networks"

9 / 9 papers shown

Title
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 105 195 0 08 Mar 2023
In-Sensor & Neuromorphic Computing are all you need for Energy Efficient Computer Vision Gourav Datta Zeyu Liu Md. Abdullah-Al Kaiser Souvik Kundu Joe Mathai Zihan Yin Ajey P. Jacob Akhilesh R. Jaiswal P. Beerel 26 12 0 21 Dec 2022
Temporal Efficient Training of Spiking Neural Network via Gradient Re-weighting Shi-Wee Deng Yuhang Li Shanghang Zhang Shi Gu 117 243 0 24 Feb 2022
Optimized Potential Initialization for Low-latency Spiking Neural Networks Tong Bu Jianhao Ding Zhaofei Yu Tiejun Huang 104 89 0 03 Feb 2022
Beyond Classification: Directly Training Spiking Neural Networks for Semantic Segmentation Youngeun Kim Joshua Chough Priyadarshini Panda 40 79 0 14 Oct 2021
Optimal Conversion of Conventional Artificial Neural Networks to Spiking Neural Networks Shi-Wee Deng Shi Gu 116 198 0 28 Feb 2021
Deep Residual Learning in Spiking Neural Networks Wei Fang Zhaofei Yu Yanqing Chen Tiejun Huang T. Masquelier Yonghong Tian 123 477 0 08 Feb 2021
Enabling Deep Spiking Neural Networks with Hybrid Conversion and Spike Timing Dependent Backpropagation Nitin Rathi G. Srinivasan Priyadarshini Panda Kaushik Roy 124 293 0 04 May 2020
BiDet: An Efficient Binarized Object Detector Ziwei Wang Ziyi Wu Jiwen Lu Jie Zhou MQ 59 64 0 09 Mar 2020