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Research map / Label-efficient and robust learning / Recognition and long-tail

Partial Label Learning via Label Enhancement

AAAI 2019 · Label-efficient and robust learning › Recognition and long-tail · approach: Partial and multi-label learning · 104 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
PL-LE (label enhancement to generalized label distributions) vs PL-LEAFpartial label learning · Lostaccuracy: 0.717 -> 0.773Helped
PL-LE vs PL-LEAFpartial label learning · Yahoo! Newsaccuracy: 0.641 -> 0.653Helped
PL-LE vs PL-LEAFpartial label learning · MSRCv2accuracy: 0.498 -> 0.499No clear effect
PL-LE vs PL-ECOCpartial label learning · BirdSongaccuracy: 0.731 -> 0.730No clear effect
PL-LE vs CLPLpartial label learning · controlled UCI (168 tests)win/tie/loss: 105/63/0Helped
PL-LE vs PL-LEAFpartial label learning · controlled UCI (168 tests)win/tie/loss: 10/158/0No clear effect
PL-LE vs PL-KNNpartial label learning · all real-world datasetsaccuracyHelped
vary lambda, K, C1, C2partial label learning · Lost, MSRCv2accuracyNo clear effect

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