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Meta-Exploiting Frequency Prior for Cross-Domain Few-Shot Learning

Neural Information Processing Systems

Meta-learning offers a promising avenue for few-shot learning (FSL), enabling models to glean a generalizable feature embedding through episodic training on synthetic FSL tasks in a source domain.





Strategic Linear Contextual Bandits

Neural Information Processing Systems

Recommendation algorithms that select the most relevant item for sequentially arriving users or queries have become vital for navigating the internet and its many online platforms.