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Tamar Geller

2 accepted papers

2023

SEENN: Towards Temporal Spiking Early Exit Neural Networks

NeurIPS 2023poster

Spiking Neural Networks (SNNs) have recently become more popular as a biologically plausible substitute for traditional Artificial Neural Networks (ANNs). SNNs are cost-efficient and deployment-friendly because they process input in both spatial and temporal manner using binary spikes. However, we o…

2022

Neuromorphic Data Augmentation for Training Spiking Neural Networks

ECCV 2022poster

"Developing neuromorphic intelligence on event-based datasets with Spiking Neural Networks (SNNs) has recently attracted much research attention. However, the limited size of event-based datasets makes SNNs prone to overfitting and unstable convergence. This issue remains unexplored by previous acad…