Search Results for author:
Found 3 papers, 1 papers with code
Neuron-centric Hebbian Learning
To overcome this limitation, we propose a novel plasticity model, called Neuron-centric Hebbian Learning (NcHL), where optimization focuses on neuron- rather than synaptic-specific Hebbian parameters.
Self-building Neural Networks
We compare our proposed SBNN with traditional neural networks (NNs) over three classical control tasks from OpenAI.
Quality Diversity Evolutionary Learning of Decision Trees
Addressing the need for explainable Machine Learning has emerged as one of the most important research directions in modern Artificial Intelligence (AI).
Cannot find the paper you are looking for? You can
Submit a new open access paper.
