research
∙
06/01/2023
Auto-Spikformer: Spikformer Architecture Search
The integration of self-attention mechanisms into Spiking Neural Network...
share
research
∙
05/23/2023
Temporal Contrastive Learning for Spiking Neural Networks
Biologically inspired spiking neural networks (SNNs) have garnered consi...
research
∙
04/25/2023
Parallel Spiking Neurons with High Efficiency and Ability to Learn Long-term Dependencies
Vanilla spiking neurons in Spiking Neural Networks (SNNs) use charge-fir...
research
∙
02/25/2023
A Unified Framework for Soft Threshold Pruning
Soft threshold pruning is among the cutting-edge pruning methods with st...
research
∙
11/17/2022
TrafficCAM: A Versatile Dataset for Traffic Flow Segmentation
Traffic flow analysis is revolutionising traffic management. Qualifying ...
research
∙
05/11/2021
Pruning of Deep Spiking Neural Networks through Gradient Rewiring
Spiking Neural Networks (SNNs) have been attached great importance due t...
research
∙
02/08/2021