SAFA-SNN combines sparsity-aware spike dynamics and orthogonal subspace projection in spiking networks to achieve on-device few-shot class-incremental learning with lower energy use and reduced forgetting than prior baselines.
Few-shot class incremental learning with attention-aware self-adaptive prompt
2 Pith papers cite this work. Polarity classification is still indexing.
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A survey of Spiking Neural Network architecture search techniques viewed through a hardware/software co-design lens.
citing papers explorer
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SAFA-SNN: Sparsity-Aware On-Device Few-Shot Class-Incremental Learning with Fast-Adaptive Structure of Spiking Neural Network
SAFA-SNN combines sparsity-aware spike dynamics and orthogonal subspace projection in spiking networks to achieve on-device few-shot class-incremental learning with lower energy use and reduced forgetting than prior baselines.
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Spiking Neural Network Architecture Search: A Survey
A survey of Spiking Neural Network architecture search techniques viewed through a hardware/software co-design lens.