Copertina

CCSRP: Robust Pruning of Spiking Neural Networks through Cooperative Coevolution

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Song, Zichen, Li, Jiakang, Lai, Songning, Huang, Sitan
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Neural and Evolutionary Computing Artificial Intelligence Computer Vision and Pattern Recognition
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Accuracy-Robustness Trade Off via Spiking Neural Network Gradient Sparsity Trail
di: Nhan, Luu Trong, et al.
Pubblicazione: (2025)

Brain-Inspired Efficient Pruning: Exploiting Criticality in Spiking Neural Networks
di: Chen, Shuo, et al.
Pubblicazione: (2023)

SNN-PAR: Energy Efficient Pedestrian Attribute Recognition via Spiking Neural Networks
di: Wang, Haiyang, et al.
Pubblicazione: (2024)

SpikingRTNH: Spiking Neural Network for 4D Radar Object Detection
di: Paek, Dong-Hee, et al.
Pubblicazione: (2025)

SpikingNeRF: Making Bio-inspired Neural Networks See through the Real World
di: Yao, Xingting, et al.
Pubblicazione: (2023)

Energy-Aware Spike Budgeting for Continual Learning in Spiking Neural Networks for Neuromorphic Vision
di: Meem, Anika Tabassum, et al.
Pubblicazione: (2026)

Temporal-adaptive Weight Quantization for Spiking Neural Networks
di: Zhang, Han, et al.
Pubblicazione: (2025)

CADE: Cosine Annealing Differential Evolution for Spiking Neural Network
di: Jiang, Runhua, et al.
Pubblicazione: (2024)

MT-SNN: Enhance Spiking Neural Network with Multiple Thresholds
di: Wang, Xiaoting, et al.
Pubblicazione: (2023)

DTA: Dual Temporal-channel-wise Attention for Spiking Neural Networks
di: Kim, Minje, et al.
Pubblicazione: (2025)

Case-based reasoning approach for diagnostic screening of children with developmental delays
di: Song, Zichen, et al.
Pubblicazione: (2024)

XOResNet: Exclusive-OR Meta-Residuals Facilitate Deep Spiking Neural Networks Learning
di: Wu, Jianfang, et al.
Pubblicazione: (2026)

EAS-SNN: End-to-End Adaptive Sampling and Representation for Event-based Detection with Recurrent Spiking Neural Networks
di: Wang, Ziming, et al.
Pubblicazione: (2024)

Enhanced Temporal Processing in Spiking Neural Networks for Static Object Detection Using 3D Convolutions
di: He, Huaxu
Pubblicazione: (2024)

Spike2Former: Efficient Spiking Transformer for High-performance Image Segmentation
di: Lei, Zhenxin, et al.
Pubblicazione: (2024)

From Lightweight CNNs to SpikeNets: Benchmarking Accuracy-Energy Tradeoffs with Pruned Spiking SqueezeNet
di: Kabir, Radib Bin, et al.
Pubblicazione: (2026)

ESVAE: An Efficient Spiking Variational Autoencoder with Reparameterizable Poisson Spiking Sampling
di: Zhan, Qiugang, et al.
Pubblicazione: (2023)

QKFormer: Hierarchical Spiking Transformer using Q-K Attention
di: Zhou, Chenlin, et al.
Pubblicazione: (2024)

Benchmarking Spiking Neural Network Learning Methods with Varying Locality
di: Lin, Jiaqi, et al.
Pubblicazione: (2024)

Towards Efficient and Accurate Spiking Neural Networks via Adaptive Bit Allocation
di: Yao, Xingting, et al.
Pubblicazione: (2025)

Faster and Stronger: When ANN-SNN Conversion Meets Parallel Spiking Calculation
di: Hao, Zecheng, et al.
Pubblicazione: (2024)

Threshold Modulation for Online Test-Time Adaptation of Spiking Neural Networks
di: Zhao, Kejie, et al.
Pubblicazione: (2025)

Elastic Spiking Transformers for Efficient Gesture Understanding
di: Ancilotto, Alberto, et al.
Pubblicazione: (2026)

Ge$^\text{2}$mS-T: Multi-Dimensional Grouping for Ultra-High Energy Efficiency in Spiking Transformer
di: Hao, Zecheng, et al.
Pubblicazione: (2026)

Temporal-Guided Spiking Neural Networks for Event-Based Human Action Recognition
di: Yang, Siyuan, et al.
Pubblicazione: (2025)

Impacts of Darwinian Evolution on Pre-trained Deep Neural Networks
di: Du, Guodong, et al.
Pubblicazione: (2024)

TDFormer: A Top-Down Attention-Controlled Spiking Transformer
di: Zhu, Zizheng, et al.
Pubblicazione: (2025)

Hybrid Layer-Wise ANN-SNN With Surrogate Spike Encoding-Decoding Structure
di: Luu, Nhan T., et al.
Pubblicazione: (2025)

Temporal Flexibility in Spiking Neural Networks: Towards Generalization Across Time Steps and Deployment Friendliness
di: Du, Kangrui, et al.
Pubblicazione: (2025)

Timestep-Compressed Attack on Spiking Neural Networks through Timestep-Level Backpropagation
di: Kang, Donghwa, et al.
Pubblicazione: (2025)

Event-Driven Learning for Spiking Neural Networks
di: Wei, Wenjie, et al.
Pubblicazione: (2024)

Coevolution of Camouflage
di: Reynolds, Craig
Pubblicazione: (2023)

Autonomous Driving with Spiking Neural Networks
di: Zhu, Rui-Jie, et al.
Pubblicazione: (2024)

Attacking the Spike: On the Transferability and Security of Spiking Neural Networks to Adversarial Examples
di: Xu, Nuo, et al.
Pubblicazione: (2022)

Improving Liver Disease Diagnosis with SNNDeep: A Custom Spiking Neural Network Using Diverse Learning Algorithms
di: Rudnicka, Zofia, et al.
Pubblicazione: (2025)

Motion Illusions Generated Using Predictive Neural Networks Also Fool Humans
di: Sinapayen, Lana, et al.
Pubblicazione: (2021)

Integer Binary-Range Alignment Neuron for Spiking Neural Networks
di: Ye, Binghao, et al.
Pubblicazione: (2025)

Efficient Training of Spiking Neural Networks by Spike-aware Data Pruning
di: Ma, Chenxiang, et al.
Pubblicazione: (2025)

Towards Efficient Deep Spiking Neural Networks Construction with Spiking Activity based Pruning
di: Li, Yaxin, et al.
Pubblicazione: (2024)

Spiking Neural Network as Adaptive Event Stream Slicer
di: Cao, Jiahang, et al.
Pubblicazione: (2024)