Research map / Learning theory and algorithms / Submodular and game algorithms
Deep Submodular Functions: Definitions and Learning
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Use a DSF (deep submodular function) instead of an SCMM (sum of concave over modular plus modular term) as the learned model in max-margin learning | image summarization (learning from visual features) · Image summarization dataset of [27] (14 image sets, 100 images each) | Average greedy VROUGE (Train/Test) | Helped |
| Add a deeper hierarchy (DSF) rather than a single-layer concave-over-modular form when learning with features | DSF image summarization model · Image summarization dataset of [27] | Average greedy VROUGE (Test) | No clear effect |
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