Efficient Training of Spiking Neural Networks by Spike-aware Data Pruning
Fuente:
arXiv
Guardado en:
| Autores principales: | Ma, Chenxiang, Chen, Xinyi, Wu, Yujie, Tan, Kay Chen, Wu, Jibin |
|---|---|
| Formato: | Preprint |
| Publicado: |
2025
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Spatio-Temporal Decoupled Learning for Spiking Neural Networks
por: Ma, Chenxiang, et al.
Publicado: (2025)
por: Ma, Chenxiang, et al.
Publicado: (2025)
Efficient Online Learning for Networks of Two-Compartment Spiking Neurons
por: Yin, Yujia, et al.
Publicado: (2024)
por: Yin, Yujia, et al.
Publicado: (2024)
PMSN: A Parallel Multi-compartment Spiking Neuron for Multi-scale Temporal Processing
por: Chen, Xinyi, et al.
Publicado: (2024)
por: Chen, Xinyi, et al.
Publicado: (2024)
Spiking Neural Networks for Temporal Processing: Status Quo and Future Prospects
por: Ma, Chenxiang, et al.
Publicado: (2025)
por: Ma, Chenxiang, et al.
Publicado: (2025)
A Hybrid Neural Coding Approach for Pattern Recognition with Spiking Neural Networks
por: Chen, Xinyi, et al.
Publicado: (2023)
por: Chen, Xinyi, et al.
Publicado: (2023)
Towards Efficient Deep Spiking Neural Networks Construction with Spiking Activity based Pruning
por: Li, Yaxin, et al.
Publicado: (2024)
por: Li, Yaxin, et al.
Publicado: (2024)
Neuromorphic Sequential Arena: A Benchmark for Neuromorphic Temporal Processing
por: Chen, Xinyi, et al.
Publicado: (2025)
por: Chen, Xinyi, et al.
Publicado: (2025)
TC-LIF: A Two-Compartment Spiking Neuron Model for Long-Term Sequential Modelling
por: Zhang, Shimin, et al.
Publicado: (2023)
por: Zhang, Shimin, et al.
Publicado: (2023)
Spike Accumulation Forwarding for Effective Training of Spiking Neural Networks
por: Saiin, Ryuji, et al.
Publicado: (2023)
por: Saiin, Ryuji, et al.
Publicado: (2023)
Efficient Parallel Training Methods for Spiking Neural Networks with Constant Time Complexity
por: Feng, Wanjin, et al.
Publicado: (2025)
por: Feng, Wanjin, et al.
Publicado: (2025)
Learning with Spike Synchrony in Spiking Neural Networks
por: Tian, Yuchen, et al.
Publicado: (2025)
por: Tian, Yuchen, et al.
Publicado: (2025)
Developmental Plasticity-inspired Adaptive Pruning for Deep Spiking and Artificial Neural Networks
por: Han, Bing, et al.
Publicado: (2022)
por: Han, Bing, et al.
Publicado: (2022)
Sparse Spiking Neural Network: Exploiting Heterogeneity in Timescales for Pruning Recurrent SNN
por: Chakraborty, Biswadeep, et al.
Publicado: (2024)
por: Chakraborty, Biswadeep, et al.
Publicado: (2024)
Temporal Regularization Training: Unleashing the Potential of Spiking Neural Networks
por: Zhang, Boxuan, et al.
Publicado: (2025)
por: Zhang, Boxuan, et al.
Publicado: (2025)
SpikeFI: A Fault Injection Framework for Spiking Neural Networks
por: Spyrou, Theofilos, et al.
Publicado: (2024)
por: Spyrou, Theofilos, et al.
Publicado: (2024)
A High-Throughput Spiking Neural Network Processor Enabling Synaptic Delay Emulation
por: Chen, Faquan, et al.
Publicado: (2025)
por: Chen, Faquan, et al.
Publicado: (2025)
Evolving Efficient Genetic Encoding for Deep Spiking Neural Networks
por: Pan, Wenxuan, et al.
Publicado: (2024)
por: Pan, Wenxuan, et al.
Publicado: (2024)
A feedback control optimizer for online and hardware-aware training of Spiking Neural Networks
por: Saponati, Matteo, et al.
Publicado: (2026)
por: Saponati, Matteo, et al.
Publicado: (2026)
Stable Spike: Dual Consistency Optimization via Bitwise AND Operations for Spiking Neural Networks
por: Ding, Yongqi, et al.
Publicado: (2026)
por: Ding, Yongqi, et al.
Publicado: (2026)
SpikeExplorer: hardware-oriented Design Space Exploration for Spiking Neural Networks on FPGA
por: Padovano, Dario, et al.
Publicado: (2024)
por: Padovano, Dario, et al.
Publicado: (2024)
SPEAR: Structured Pruning for Spiking Neural Networks via Synaptic Operation Estimation and Reinforcement Learning
por: Xie, Hui, et al.
Publicado: (2025)
por: Xie, Hui, et al.
Publicado: (2025)
Multi-Plasticity Synergy with Adaptive Mechanism Assignment for Training Spiking Neural Networks
por: Liu, Yuzhe, et al.
Publicado: (2025)
por: Liu, Yuzhe, et al.
Publicado: (2025)
CogniSNN: Enabling Neuron-Expandability, Pathway-Reusability, and Dynamic-Configurability with Random Graph Architectures in Spiking Neural Networks
por: Huang, Yongsheng, et al.
Publicado: (2025)
por: Huang, Yongsheng, et al.
Publicado: (2025)
Beyond Rate Coding: Surrogate Gradients Enable Spike Timing Learning in Spiking Neural Networks
por: Yu, Ziqiao, et al.
Publicado: (2025)
por: Yu, Ziqiao, et al.
Publicado: (2025)
Continual Learning with Columnar Spiking Neural Networks
por: Larionov, Denis, et al.
Publicado: (2025)
por: Larionov, Denis, et al.
Publicado: (2025)
Parallel Hyperparameter Optimization Of Spiking Neural Network
por: Firmin, Thomas, et al.
Publicado: (2024)
por: Firmin, Thomas, et al.
Publicado: (2024)
Brain-Inspired Efficient Pruning: Exploiting Criticality in Spiking Neural Networks
por: Chen, Shuo, et al.
Publicado: (2023)
por: Chen, Shuo, et al.
Publicado: (2023)
Spikingformer: A Key Foundation Model for Spiking Neural Networks
por: Zhou, Chenlin, et al.
Publicado: (2023)
por: Zhou, Chenlin, et al.
Publicado: (2023)
Stabilizing Spiking Neuron Training
por: Herranz-Celotti, Luca, et al.
Publicado: (2022)
por: Herranz-Celotti, Luca, et al.
Publicado: (2022)
Learning in Spiking Neural Networks with a Calcium-based Hebbian Rule for Spike-timing-dependent Plasticity
por: Girão, Willian Soares, et al.
Publicado: (2025)
por: Girão, Willian Soares, et al.
Publicado: (2025)
Mamba-Spike: Enhancing the Mamba Architecture with a Spiking Front-End for Efficient Temporal Data Processing
por: Qin, Jiahao, et al.
Publicado: (2024)
por: Qin, Jiahao, et al.
Publicado: (2024)
Reconstructing Spiking Neural Networks Using a Single Neuron with Autapses
por: Cai, Wuque, et al.
Publicado: (2026)
por: Cai, Wuque, et al.
Publicado: (2026)
A Graph is Worth 1-bit Spikes: When Graph Contrastive Learning Meets Spiking Neural Networks
por: Li, Jintang, et al.
Publicado: (2023)
por: Li, Jintang, et al.
Publicado: (2023)
Direct Training Needs Regularisation: Anytime Optimal Inference Spiking Neural Network
por: Wu, Dengyu, et al.
Publicado: (2024)
por: Wu, Dengyu, et al.
Publicado: (2024)
Spiking Neural Networks: The Future of Brain-Inspired Computing
por: Aribe Jr, Sales G.
Publicado: (2025)
por: Aribe Jr, Sales G.
Publicado: (2025)
Exploring the Limitations of Layer Synchronization in Spiking Neural Networks
por: Koopman, Roel, et al.
Publicado: (2024)
por: Koopman, Roel, et al.
Publicado: (2024)
NeuroTrain: Surveying Local Learning Rules for Spiking Neural Networks with an Open Benchmarking Framework
por: Caviglia, Alessio, et al.
Publicado: (2026)
por: Caviglia, Alessio, et al.
Publicado: (2026)
Global-Local Convolution with Spiking Neural Networks for Energy-efficient Keyword Spotting
por: Wang, Shuai, et al.
Publicado: (2024)
por: Wang, Shuai, et al.
Publicado: (2024)
Adaptive Reorganization of Neural Pathways for Continual Learning with Spiking Neural Networks
por: Han, Bing, et al.
Publicado: (2023)
por: Han, Bing, et al.
Publicado: (2023)
Parallel Spiking Unit for Efficient Training of Spiking Neural Networks
por: Li, Yang, et al.
Publicado: (2024)
por: Li, Yang, et al.
Publicado: (2024)
Ejemplares similares
-
Spatio-Temporal Decoupled Learning for Spiking Neural Networks
por: Ma, Chenxiang, et al.
Publicado: (2025) -
Efficient Online Learning for Networks of Two-Compartment Spiking Neurons
por: Yin, Yujia, et al.
Publicado: (2024) -
PMSN: A Parallel Multi-compartment Spiking Neuron for Multi-scale Temporal Processing
por: Chen, Xinyi, et al.
Publicado: (2024) -
Spiking Neural Networks for Temporal Processing: Status Quo and Future Prospects
por: Ma, Chenxiang, et al.
Publicado: (2025) -
A Hybrid Neural Coding Approach for Pattern Recognition with Spiking Neural Networks
por: Chen, Xinyi, et al.
Publicado: (2023)