LP-SparseMAP: Differentiable Relaxed Optimization for Sparse Structured Prediction
Table 4: Multilabel classification test F1 scores.
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The structured hinge loss model is worse than the unstructured (binary logistic loss) baseline; the LP-SparseMAP loss model outperforms both. This suggests that the LP-SparseMAP loss is promising for structured output learning. We note that, in strictly-supervised setting, approaches that blend inference with learning ( e. g., Chen et al.