A Unified Uncertainty-Informed Approach for Risk Management of Deep Learning Models in the Open World

Keyphrases

• Gaussian Process 100%
• Risk Management 100%
• Deep Learning Model 100%
• Open World 100%
• Uncertainty Estimation 75%
• Uncertainty Quantification 50%
• Distribution Shift 50%
• Performance Prediction 25%
• Computational Results 25%
• Computational Efficiency 25%
• Model Prediction 25%
• Hidden Layer 25%
• Output Layer 25%
• Relative Distance 25%
• Reliable Performance 25%
• Risk Assessment 25%
• Optimal Threshold 25%
• Risk Level 25%
• Feature Transformation 25%
• Epistemic Uncertainty 25%
• Distinctive Properties 25%
• Effective Risk 25%
• Source Distribution 25%
• Youden Index 25%
• Spectral Normalization 25%
• Deep Ensemble 25%
• Monte Carlo Dropout 25%
• Distance-aware 25%
• Informed Decision-making 25%
• Layer Weight 25%
• Uncertainty Quantification Methods 25%
• Quantification Approaches 25%

Engineering

• Gaussians 100%
• Deep Learning Method 100%
• Risk Management 100%
• Uncertainty Quantification 75%
• Model Prediction 25%
• Relative Distance 25%
• Reliable Performance 25%
• Risk Level 25%
• Output Layer 25%
• Hidden Layer 25%
• Data Point 25%
• Spectral Approach 25%
• Epistemic Uncertainty 25%

Computer Science

• Deep Learning Model 100%
• Risk Management 100%
• Informed Decision 33%
• Optimal Threshold 33%
• Source Distribution 33%
• Predictive Performance 33%
• Model Prediction 33%
• Relative Distance 33%
• Decision Making 33%
• Input Distribution 33%