Toward Learning Robust Detectors from Imbalanced Datasets Leveraging Weighted Adversarial Training

Mathematics

• Detector 100%
• Training 88%
• Learning 76%
• Classifier 47%
• Machine Learning 46%
• Anomaly Detection 32%
• Multi-class Classification 32%
• Binary Classification 28%
• Training Samples 28%
• Leverage 26%
• Degradation 25%
• Performance 24%
• Class 24%
• Expand 22%
• Neural Networks 19%
• Experiment 15%
• Unknown 13%
• Design 13%
• Demonstrate 12%

Engineering & Materials Science

• Detectors 65%
• Machine learning 41%
• Classifiers 39%
• Anomaly detection 29%
• Degradation 19%
• Neural networks 16%
• Experiments 9%