OWAdapt: an adaptive loss function for deep learning using OWA operators

Keyphrases

• Deep Learning 100%
• Ordered Weighted Averaging 100%
• Adaptive Loss Function 100%
• Loss Function 66%
• Classification Task 66%
• Class Level 66%
• Cross-entropy Loss 66%
• Multi-class Classification 33%
• Learning Performance 33%
• Aggregation Operators 33%
• Binary Classification 33%
• Class Imbalance 33%
• Noisy Conditions 33%
• Challenging Problems 33%
• Hyperparameters 33%
• Focal Loss 33%
• Classification Accuracy 33%
• Adaptive Adjustment 33%
• Gradient-based Learning 33%
• Default Configurations 33%

Computer Science

• Weighted Average 100%
• Deep Learning Method 100%
• Classification Task 66%
• Multiclass Classification 33%
• Binary Classification 33%
• Class Imbalance 33%
• Classification Accuracy 33%
• Learning Performance 33%
• Default Configuration 33%
• Leaning Parameter 33%

Engineering

• Loss Function 100%
• Deep Learning Method 100%
• Classification Task 50%
• Multiclass Classification 25%
• Level Component 25%
• Noise Level 25%
• Classification Accuracy 25%