2025
Improving Neural Network Accuracy by Concurrently Training with a Twin Network
ICLR 2025poster
Recently within Spiking Neural Networks, a method called Twin Network Augmentation (TNA) has been introduced. This technique claims to improve the validation accuracy of a Spiking Neural Network simply by training two networks in conjunction and matching the logits via the Mean Squared Error loss. I…