Co-occurring keywords · papers mentioning both
Papers
Inherent Redundancy in Spiking Neural Networks
ICCV 2023
Learnable Surrogate Gradient for Direct Training Spiking Neural Networks
IJCAI 2023
Masked Spiking Transformer
ICCV 2023
Membrane Potential Batch Normalization for Spiking Neural Networks
ICCV 2023
Meta-Learning the Inductive Bias of Simple Neural Circuits
ICML 2023
Performance Comparison of DVS Data Spatial Downscaling Methods Using Spiking Neural Networks
WACV 2023
Rate Gradient Approximation Attack Threats Deep Spiking Neural Networks
CVPR 2023
Reducing ANN-SNN Conversion Error through Residual Membrane Potential
AAAI 2023
RMP-Loss: Regularizing Membrane Potential Distribution for Spiking Neural Networks
ICCV 2023
Scaling Up Dynamic Graph Representation Learning via Spiking Neural Networks
AAAI 2023
SEENN: Towards Temporal Spiking Early Exit Neural Networks
NeurIPS 2023
SparseProp: Efficient Event-Based Simulation and Training of Sparse Recurrent Spiking Neural Networks
NeurIPS 2023
Spatial-Temporal Self-Attention for Asynchronous Spiking Neural Networks
IJCAI 2023
Spike-Based Anytime Perception
WACV 2023
Spike Count Maximization for Neuromorphic Vision Recognition
IJCAI 2023
Spike-driven Transformer
NeurIPS 2023
Spikformer: When Spiking Neural Network Meets Transformer
ICLR 2023
Spiking Convolutional Neural Networks for Text Classification
ICLR 2023
Spiking PointNet: Spiking Neural Networks for Point Clouds
NeurIPS 2023
SSF: Accelerating Training of Spiking Neural Networks with Stabilized Spiking Flow
ICCV 2023
Surrogate Module Learning: Reduce the Gradient Error Accumulation in Training Spiking Neural Networks
ICML 2023
Temporal-Coded Spiking Neural Networks with Dynamic Firing Threshold: Learning with Event-Driven Backpropagation
ICCV 2023
Temporal Conditioning Spiking Latent Variable Models of the Neural Response to Natural Visual Scenes
NeurIPS 2023
Towards Memory- and Time-Efficient Backpropagation for Training Spiking Neural Networks
ICCV 2023
Training a General Spiking Neural Network with Improved Efficiency and Minimum Latency
ACML 2023