2 papers
cs.NE2023
Estimating Post-Synaptic Effects for Online Training of Feed-Forward SNNs
Thomas Summe, Clemens JS Schaefer, Siddharth Joshi
Facilitating online learning in spiking neural networks (SNNs) is a key step in developing event-based models that can adapt to changing environments and learn from continuous data…
cs.LG2023
Hadamard Domain Training with Integers for Class Incremental Quantized Learning
Martin Schiemer, Clemens JS Schaefer, Jayden Parker Vap +4
Continual learning is a desirable feature in many modern machine learning applications, which allows in-field adaptation and updating, ranging from accommodating distribution shift…