Research map / Label-efficient and robust learning / Recognition and long-tail
Partial Multi-Label Learning with Noisy Label Identification
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| model noisy labels as feature-induced via a sparse noise identifier jointly with low-rank classifier | partial multi-label learning · birds 50% | ranking loss: .252 -> .190 | Helped |
| model noisy labels as feature-induced via a sparse noise identifier jointly with low-rank classifier | partial multi-label learning · enron | ranking loss: .163 -> .175 | Hurt |
| set trade-off parameter beta very large (~100) (ablation) | PML-NI · music emotion | multiple metrics | Hurt |
| vary trade-off parameters lambda and gamma (ablation) | PML-NI · music emotion | multiple metrics | No clear effect |
Closest papers by meaning
- Partial Multi-Label Learning with Label Distribution (AAAI 2020 · similarity 0.93)
- Partial Multi-Label Learning by Low-Rank and Sparse Decomposition (AAAI 2019 · similarity 0.92)
- Understanding Partial Multi-Label Learning via Mutual Information (NeurIPS 2021 · similarity 0.92)
- Adaptive Integration of Partial Label Learning and Negative Learning for Enhanced Noisy Label Learning (AAAI 2024 · similarity 0.91)
- Addressing Multi-Label Learning with Partial Labels: From Sample Selection to Label Selection (AAAI 2025 · similarity 0.88)
- Limited-Supervised Multi-Label Learning with Dependency Noise (AAAI 2024 · similarity 0.88)
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