Few-Shot Learning Via Dependency Maximization and Instance Discriminant Analysis

Computer Science

• Discriminant Analysis 100%
• Unlabeled Data 100%
• Few-Shot Learning 100%
• Learning Problem 25%
• Learning Approach 25%
• Training Data 25%
• Labeled Example 25%

Keyphrases

• Dependence Maximization 100%
• Label Prediction 25%
• Cross-covariance Operator 25%
• Semi-supervised Few-shot Learning 25%
• Hilbert-Schmidt Norm 25%
• Maximization Methods 25%
• Meta-learning Paradigm 25%

Neuroscience

• Learning Disabilities 100%