conftrace_

spiking neural network

331 papers

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Also known as

SNN

Co-occurring keywords

neuromorphic computing (95) energy efficiency (138) surrogate gradient (31) neuromorphic hardware (26) image classification (1944) membrane potential (24) artificial neural network (27) event camera (289) attention mechanism (4001) ann-snn conversion (15)

Papers

Enhancing Training of Spiking Neural Network with Stochastic Latency AAAI 2024
Exact Gradients for Stochastic Spiking Neural Networks Driven by Rough Signals NIPS 2024
On the Intrinsic Structures of Spiking Neural Networks JMLR 2024
Advancing Spiking Neural Networks for Sequential Modeling with Central Pattern Generators NIPS 2024
SpikingResformer: Bridging ResNet and Vision Transformer in Spiking Neural Networks CVPR 2024
Enhancing Representation of Spiking Neural Networks via Similarity-Sensitive Contrastive Learning AAAI 2024
ED-sKWS: Early-Decision Spiking Neural Networks for Rapid, and Energy-Efficient Keyword Spotting INTERSPEECH 2024
Global-Local Convolution with Spiking Neural Networks for Energy-efficient Keyword Spotting INTERSPEECH 2024
Efficient Spiking Neural Networks with Sparse Selective Activation for Continual Learning AAAI 2024
DeblurSR: Event-Based Motion Deblurring under the Spiking Representation AAAI 2024
HALSIE: Hybrid Approach to Learning Segmentation by Simultaneously Exploiting Image and Event Modalities WACV 2024
Spiking Neural Networks for Active Time-Resolved SPAD Imaging WACV 2024
Neuromorphic Event Signal-Driven Network for Video De-raining AAAI 2024
Finding Visual Saliency in Continuous Spike Stream AAAI 2024
Spiking Denoising Diffusion Probabilistic Models WACV 2024
An Efficient Knowledge Transfer Strategy for Spiking Neural Networks from Static to Event Domain AAAI 2024
Point-to-Spike Residual Learning for Energy-Efficient 3D Point Cloud Classification AAAI 2024
Take A Shortcut Back: Mitigating the Gradient Vanishing for Training Spiking Neural Networks NIPS 2024
Data Driven Threshold and Potential Initialization for Spiking Neural Networks AISTATS 2024
EC-SNN: Splitting Deep Spiking Neural Networks for Edge Devices IJCAI 2024
Gated Attention Coding for Training High-Performance and Efficient Spiking Neural Networks AAAI 2024
Adaptive Smoothing Gradient Learning for Spiking Neural Networks ICML 2023
A Unified Optimization Framework of ANN-SNN Conversion: Towards Optimal Mapping from Activation Values to Firing Rates ICML 2023
Meta-Learning the Inductive Bias of Simple Neural Circuits ICML 2023
Surrogate Module Learning: Reduce the Gradient Error Accumulation in Training Spiking Neural Networks ICML 2023