Spiking Generative Adversarial Networks with a Neural Network Discriminator: Local Training, Bayesian Models, and Continual Meta-Learning

Keyphrases

• Neural Network 100%
• Spiking Neural Networks 100%
• Generative Adversarial Networks 100%
• Bayesian Modeling 100%
• Meta-learning 100%
• Local Training 100%
• Artificial Neural Network 28%
• Neural Network Classifier 28%
• Handwritten Digits 28%
• Neuromorphic Data 28%
• Belief Network 28%
• Spike Patterns 14%
• Neuromorphic Computing 14%
• Spatiotemporal 14%
• Online Learning 14%
• Modal 14%
• Novel Hybrids 14%
• Spatiotemporal Pattern 14%
• Order of Accuracy 14%
• Hybrid Architecture 14%
• Maximum Likelihood 14%
• Desirable Output 14%
• Spatiotemporal Distribution 14%
• 20-High 14%
• Time Encoding 14%
• Empirical Risk Minimization 14%
• Bayesian Learning 14%
• Iterative Learning 14%
• Input-output Behavior 14%
• Artificial Neural Network Classifier 14%
• Encoding Capacity 14%
• Conditional Generator 14%

Computer Science

• Neural Network 100%
• Bayesian Model 100%
• Generative Adversarial Networks 100%
• Discriminator 100%
• Artificial Neural Network 37%
• handwritten digit 25%
• Input/Output 12%
• maximum-likelihood 12%
• Hybrid Architecture 12%
• Risk Minimization 12%
• Bayesian Learning 12%