← Search

Wenyao Ni

2 accepted papers

2025

ALADE-SNN: Adaptive Logit Alignment in Dynamically Expandable Spiking Neural Networks for Class Incremental Learning

AAAI 2025technical

Inspired by the human brain's ability to adapt to new tasks without erasing prior knowledge, we develop spiking neural networks (SNNs) with dynamic structures for Class Incremental Learning (CIL). Our analytical experiments reveal that limited datasets introduce biases in logits distributions among…

Cited by 0SourcePDFScholar
2024

Efficient Spiking Neural Networks with Sparse Selective Activation for Continual Learning

AAAI 2024technical

The next generation of machine intelligence requires the capability of continual learning to acquire new knowledge without forgetting the old one while conserving limited computing resources. Spiking neural networks (SNNs), compared to artificial neural networks (ANNs), have more characteristics th…

Cited by 18SourcePDFScholar