3 papers
cs.CV2024
NeuroMoCo: A Neuromorphic Momentum Contrast Learning Method for Spiking Neural Networks
Yuqi Ma, Huamin Wang, Hangchi Shen +3
Recently, brain-inspired spiking neural networks (SNNs) have attracted great research attention owing to their inherent bio-interpretability, event-triggered properties and powerfu…
cs.CV2022
Network Pruning via Feature Shift Minimization
Yuanzhi Duan, Yue Zhou, Peng He +3
Channel pruning is widely used to reduce the complexity of deep network models. Recent pruning methods usually identify which parts of the network to discard by proposing a channel…
cs.LG2021
Network Compression via Central Filter
Yuanzhi Duan, Xiaofang Hu, Yue Zhou +2
Neural network pruning has remarkable performance for reducing the complexity of deep network models. Recent network pruning methods usually focused on removing unimportant or redu…