Direct Training Needs Regularisation: Anytime Optimal Inference Spiking Neural Network

15 April 2024

Papers citing "Direct Training Needs Regularisation: Anytime Optimal Inference Spiking Neural Network"

9 / 9 papers shown

Title
Neuromorphic Wireless Split Computing with Multi-Level Spikes Dengyu Wu Jiechen Chen Bipin Rajendran H. Vincent Poor Osvaldo Simeone 42 1 0 07 Nov 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 102 191 0 08 Mar 2023
Spikformer: When Spiking Neural Network Meets Transformer Zhaokun Zhou Yuesheng Zhu Chao He Yaowei Wang Shuicheng Yan Yonghong Tian Liuliang Yuan 143 231 0 29 Sep 2022
Temporal Efficient Training of Spiking Neural Network via Gradient Re-weighting Shi-Wee Deng Yuhang Li Shanghang Zhang Shi Gu 112 240 0 24 Feb 2022
Optimal Conversion of Conventional Artificial Neural Networks to Spiking Neural Networks Shi-Wee Deng Shi Gu 116 197 0 28 Feb 2021
Deep Residual Learning in Spiking Neural Networks Wei Fang Zhaofei Yu Yanqing Chen Tiejun Huang T. Masquelier Yonghong Tian 121 470 0 08 Feb 2021
Deep Reinforcement Learning with Population-Coded Spiking Neural Network for Continuous Control Guangzhi Tang Neelesh Kumar Raymond Yoo Konstantinos Michmizos 50 74 0 19 Oct 2020
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 268 5,635 0 05 Dec 2016
ImageNet Large Scale Visual Recognition Challenge Olga Russakovsky Jia Deng Hao Su J. Krause S. Satheesh ... A. Karpathy A. Khosla Michael S. Bernstein Alexander C. Berg Li Fei-Fei VLM ObjD 279 39,083 0 01 Sep 2014