Meta¶
描述数据的数据
Meta Learning¶
- Learning Algorithm: Learn from historical data and make predictions given new examples of data
- Meta Learning Algorithm: Learn the output of learning algorithms and make a prediction given predictions made by other models
Few-shot Learning¶
Support Set vs. Training Set¶
Few-shot Learning vs. Supervised Learning¶
- Supervised Learning
- query样本类别在训练集中出现
- Few-shot Learning
- query样本来自未知类别 $$ \begin{aligned} \mathcal{T} \sim P(\mathcal{T}) \ \mathcal{T} = (S_{\mathcal{T}}, Q_{\mathcal{T}}) \ S_{\mathcal{T}} = S_{\mathcal{T}}^s \cup S_{\mathcal{T}}^u \ Q_{\mathcal{T}} = Q_{\mathcal{T}}^s \cup Q_{\mathcal{T}}^u \ \end{aligned} $$
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