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

Mathematics

• Meta-learning 100%
• Spiking Neural Networks 91%
• Bayesian Model 57%
• Training 53%
• Neural Networks 47%
• Artificial Neural Network 27%
• Classifier 24%
• Belief Networks 24%
• Spike 16%
• Experiment 16%
• Digit 15%
• Learning Strategies 12%
• Output 10%
• Bayesian Learning 10%
• Generator 10%
• Spatio-temporal Patterns 10%
• Leverage 9%
• Architecture 8%
• Baseline 7%
• High Accuracy 7%
• Encoding 7%
• Time-varying 6%
• Maximum Likelihood 6%
• Statistics 4%
• Computing 4%
• Demonstrate 4%
• Model 2%

Engineering & Materials Science

• Discriminators 63%
• Neural networks 30%
• Classifiers 10%
• Bayesian networks 10%
• Experiments 5%
• Maximum likelihood 4%
• Statistics 3%
• Feedback 3%