Tail Task Risk Minimization in Meta-Learning from Theoretical Advances to Practical Strategies
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Meta learning is a promising paradigm in the era of large models, and task distributional robustness has become an indispensable consideration in real-world scenarios. Recent advances have examined the effectiveness of tail task risk minimization in fast adapt... ...
