Research map / Label-efficient and robust learning / Recognition and long-tail
Label Distribution Learning by Exploiting Label Correlations
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| add label-correlation term (LDLLC) to maximum-entropy LDL | LDL on yeast gene datasets · Alpha | Euclidean distance: .0251 -> .0227 | Helped |
| add label-correlation term (LDLLC) vs BFGS-LLD | LDL · Diau | Euclidean distance: .0444 -> .0541 | Hurt |
| add label-correlation term (LDLLC) vs best LDL baseline | LDL · Dtt | Euclidean distance: .0495 -> .0477 | Mixed |
| LDLLC with virtual threshold label vs multi-label learners | multi-label learning · Alpha | Average Precision: .6498 -> .6519 | Helped |
| LDLLC vs multi-label learners | multi-label learning · Cold | Coverage: 2.0240 -> 1.9301 | Hurt |
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