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Research Frontiers in Few-Shot and Meta-Learning Approaches

Research on machine learning systems that can quickly adapt to new tasks with minimal training examples.

Meta-Learning Across Heterogeneous Data Modalities
Gradient-Free Adaptation in Extreme Data Scarcity
Task Geometry and Transferability in Few-Shot Learning
Bayesian Meta-Learning for Uncertainty Quantification
Continual Meta-Learning Without Catastrophic Forgetting
Few-Shot Learning in Non-Euclidean Domains
Meta-Generalization: Learning When Test Distributions Shift
In-Context Learning and Implicit Meta-Adaptation
Fairness and Bias in Few-Shot Generalization
Neural Architecture Search Under Sample-Efficient Regimes

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