Bridging the Gap between ANNs and SNNs by Calibrating Offset Spikes

21 February 2023

Tiejun Huang

Papers citing "Bridging the Gap between ANNs and SNNs by Calibrating Offset Spikes"

35 / 35 papers shown

Title
DTA: Dual Temporal-channel-wise Attention for Spiking Neural Networks Minje Kim Minjun Kim Xu Yang 36 0 0 13 Mar 2025
Differential Coding for Training-Free ANN-to-SNN Conversion Zihan Huang Wei Fang Tong Bu Peng Xue Zecheng Hao Wenxuan Liu Yuanhong Tang Zhaofei Yu Tiejun Huang 36 0 0 01 Mar 2025
Spiking Transformer:Introducing Accurate Addition-Only Spiking Self-Attention for Transformer Yufei Guo Xiaode Liu Y. Chen Weihang Peng Yuhan Zhang Zhe Ma MQ 43 0 0 28 Feb 2025
Adaptive Calibration: A Unified Conversion Framework of Spiking Neural Network Z. Wang Yuetong Fang Jiahang Cao Hongwei Ren Renjing Xu 70 2 0 18 Dec 2024
Faster and Stronger: When ANN-SNN Conversion Meets Parallel Spiking Calculation Zecheng Hao Zhaofei Yu Tiejun Huang 62 0 0 18 Dec 2024
Noise Adaptor: Enhancing Low-Latency Spiking Neural Networks through Noise-Injected Low-Bit ANN Conversion Chen Li Bipin Rajendran 57 0 0 26 Nov 2024
Advancing Training Efficiency of Deep Spiking Neural Networks through Rate-based Backpropagation Chengting Yu Lei Liu Gaoang Wang Erping Li Aili Wang 21 1 0 15 Oct 2024
Obtaining Optimal Spiking Neural Network in Sequence Learning via CRNN-SNN Conversion Jiahao Su Kang You Zekai Xu Weizhi Xu Zhezhi He 16 0 0 18 Aug 2024
SpikeLLM: Scaling up Spiking Neural Network to Large Language Models via Saliency-based Spiking Xingrun Xing Boyan Gao Zheng Zhang David A. Clifton Shitao Xiao LI DU Guoqi Li Jiajun Zhang 45 5 0 05 Jul 2024
Self-Distillation Learning Based on Temporal-Spatial Consistency for Spiking Neural Networks Lin Zuo Yongqi Ding Mengmeng Jing Kunshan Yang Yunqian Yu 41 3 0 12 Jun 2024
SpikeZIP-TF: Conversion is All You Need for Transformer-based SNN Kang You Zekai Xu Chen Nie Zhijie Deng Qinghai Guo Xiang Wang Zhezhi He 30 10 0 05 Jun 2024
Context Gating in Spiking Neural Networks: Achieving Lifelong Learning through Integration of Local and Global Plasticity Jiangrong Shen Wenyao Ni Qi Xu Gang Pan Huajin Tang CLL 29 0 0 04 Jun 2024
Autaptic Synaptic Circuit Enhances Spatio-temporal Predictive Learning of Spiking Neural Networks Lihao Wang Zhaofei Yu 40 4 0 01 Jun 2024
Enhancing Adversarial Robustness in SNNs with Sparse Gradients Yujia Liu Tong Bu Jianhao Ding Zecheng Hao Tiejun Huang Zhaofei Yu AAML 33 3 0 30 May 2024
Converting High-Performance and Low-Latency SNNs through Explicit Modelling of Residual Error in ANNs Zhipeng Huang Jianhao Ding Zhiyu Pan Haoran Li Ying Fang Zhaofei Yu Jian K. Liu 18 0 0 26 Apr 2024
SNN4Agents: A Framework for Developing Energy-Efficient Embodied Spiking Neural Networks for Autonomous Agents Rachmad Vidya Wicaksana Putra Alberto Marchisio Muhammad Shafique 24 6 0 14 Apr 2024
FTBC: Forward Temporal Bias Correction for Optimizing ANN-SNN Conversion Xiaofeng Wu V. Bojkovic Bin Gu Kun Suo Kai Zou 20 3 0 27 Mar 2024
QKFormer: Hierarchical Spiking Transformer using Q-K Attention Chenlin Zhou Han Zhang Zhaokun Zhou Liutao Yu Liwei Huang Xiaopeng Fan Liuliang Yuan Zhengyu Ma Huihui Zhou Yonghong Tian 42 13 0 25 Mar 2024
Optimal ANN-SNN Conversion with Group Neurons Liuzhenghao Lv Wei Fang Li Yuan Yonghong Tian 35 3 0 29 Feb 2024
LM-HT SNN: Enhancing the Performance of SNN to ANN Counterpart through Learnable Multi-hierarchical Threshold Model Zecheng Hao Xinyu Shi Zhiyu Pan Yujia Liu Zhaofei Yu Tiejun Huang 16 4 0 01 Feb 2024
Take A Shortcut Back: Mitigating the Gradient Vanishing for Training Spiking Neural Networks Yu-Zhu Guo Y. Chen 13 2 0 09 Jan 2024
Spikformer V2: Join the High Accuracy Club on ImageNet with an SNN Ticket Zhaokun Zhou Kaiwei Che Wei Fang Keyu Tian Yuesheng Zhu Shuicheng Yan Yonghong Tian Liuliang Yuan ViT 34 27 0 04 Jan 2024
When Bio-Inspired Computing meets Deep Learning: Low-Latency, Accurate, & Energy-Efficient Spiking Neural Networks from Artificial Neural Networks Gourav Datta Zeyu Liu James Diffenderfer B. Kailkhura P. Beerel 33 0 0 12 Dec 2023
Ternary Spike: Learning Ternary Spikes for Spiking Neural Networks Yu-Zhu Guo Y. Chen Xiaode Liu Weihang Peng Yuhan Zhang Xuhui Huang Zhe Ma 20 26 0 11 Dec 2023
Noise Adaptor in Spiking Neural Networks Chen Li Bipin Rajendran 20 0 0 08 Dec 2023
Spiking PointNet: Spiking Neural Networks for Point Clouds Dayong Ren Zhe Ma Y. Chen Weihang Peng Xiaode Liu Yuhan Zhang Yu-Zhu Guo 3DH 3DPC 20 9 0 10 Oct 2023
RMP-Loss: Regularizing Membrane Potential Distribution for Spiking Neural Networks Yu-Zhu Guo Xiaode Liu Y. Chen Liwen Zhang Weihang Peng Yuhan Zhang Xuhui Huang Zhe Ma AAML MQ 36 23 0 13 Aug 2023
Enhancing the Performance of Transformer-based Spiking Neural Networks by SNN-optimized Downsampling with Precise Gradient Backpropagation Chenlin Zhou Han Zhang Zhaokun Zhou Liutao Yu Zhengyu Ma Huihui Zhou Xiaopeng Fan Yonghong Tian 11 9 0 10 May 2023
Unleashing the Potential of Spiking Neural Networks by Dynamic Confidence Chen Li Edward Jones Steve Furber 21 17 0 17 Mar 2023
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 105 191 0 08 Mar 2023
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
Optimized Potential Initialization for Low-latency Spiking Neural Networks Tong Bu Jianhao Ding Zhaofei Yu Tiejun Huang 99 86 0 03 Feb 2022
Optimal Conversion of Conventional Artificial Neural Networks to Spiking Neural Networks Shi-Wee Deng Shi Gu 116 197 0 28 Feb 2021
Enabling Deep Spiking Neural Networks with Hybrid Conversion and Spike Timing Dependent Backpropagation Nitin Rathi G. Srinivasan Priyadarshini Panda Kaushik Roy 116 292 0 04 May 2020
Long short-term memory and learning-to-learn in networks of spiking neurons G. Bellec Darjan Salaj Anand Subramoney R. Legenstein Wolfgang Maass 111 477 0 26 Mar 2018