STARS augments BN-guided data synthesis with relational consistency alignment and tail-aware regularization for ANN-to-SNN data-free KD, reporting gains up to 4.6% on CIFAR-10 and 6.7% on CIFAR-100.
Optimal conversion of conventional artifi- cial neural networks to spiking neural networks
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
citation-role summary
background 1
citation-polarity summary
fields
cs.NE 2verdicts
UNVERDICTED 2roles
background 1polarities
background 1representative citing papers
A survey of Spiking Neural Network architecture search techniques viewed through a hardware/software co-design lens.
citing papers explorer
-
STARS: Spike Tail-Aware Relational Synthesis for ANN-to-SNN Data-Free Knowledge Distillation
STARS augments BN-guided data synthesis with relational consistency alignment and tail-aware regularization for ANN-to-SNN data-free KD, reporting gains up to 4.6% on CIFAR-10 and 6.7% on CIFAR-100.
-
Spiking Neural Network Architecture Search: A Survey
A survey of Spiking Neural Network architecture search techniques viewed through a hardware/software co-design lens.