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Artificial Intelligence

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Artificial Intelligence

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Research Frontiers in Few-Shot and Zero-Shot Learning

Research on training AI systems to quickly adapt to new tasks with minimal examples or without direct training data in target domains.

Meta-Learning Across Modality Boundaries
Semantic Hallucination in Language Model Extrapolation
Concept Transfer Without Gradient Descent
Adversarial Robustness in Few-Shot Regimes
Task Inference From Implicit Demonstration Signals
Cross-Domain Knowledge Distillation Without Overlap
Uncertainty Quantification in Zero-Shot Prediction
Prototype Learning at the Information Boundary
Implicit Biases in Few-Shot Optimization Landscapes
Compositional Generalization Beyond Seen Exemplars

All Artificial Intelligence PhD categories