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Learning to Learn and Predict: A Meta Learning Approach for Multi Label Classification

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Figure

Figure 1: Illustration of complex label dependencies inmulti-label classification. (1) Labels are aligned withsome knowledge graphs
Figure 2: The meta-learning framework for multi-label classification.
Figure 3: A example about the computation process ofreward (one sample with class N = 4).
Figure 4: The SOTA model structure for fine-grainedentity type classification (Shimaoka et al., 2017; Ab-hishek et al., 2017).
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