Methods › General › Loss Functions › Rank-based Loss
Rank-based loss
Rank-based Loss
Introduced by Ines Nolasco et al. in Rank-based loss for learning hierarchical representations
archive 2025-07-28 Description, source and code snippet are the archive's method entry.
The archive carries no description for this method.
Papers archive 2025-07-28
4 shown of 4, newest first. Repository counts are the archive's code-links table. A Syntology line states what Syntology ran from that paper's harvested code; it is per sample and not a correctness claim.
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RankED: Addressing Imbalance and Uncertainty in Edge Detection Using Ranking-based Losses 4 Mar 2024 · 1 repository · arXiv:2403.01795
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Outlier Robust Adversarial Training 10 Sep 2023 · 1 repository · arXiv:2309.05145Syntology ran 0 of 5 samples · 5 unverified · 5 pointer-only (licence)
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Evaluation-oriented Knowledge Distillation for Deep Face Recognition 6 Jun 2022 · 1 repository · arXiv:2206.02325
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Rank-based loss for learning hierarchical representations 11 Oct 2021 · 1 repository · arXiv:2110.05941Syntology ran 0 of 7 samples · 7 unverified
Tasks archive 2025-07-28
8 tasks the archive attaches to papers tagged with this method, by distinct papers. A task without a page in the catalog is plain text.
| Task | Papers |
|---|---|
| Adversarial Attack | 1 |
| Audio Classification | 1 |
| Binary Classification | 1 |
| Edge Detection | 1 |
| Face Recognition | 1 |
| Knowledge Distillation | 1 |
| Transfer Learning | 1 |
| Triplet | 1 |
Usage over time archive 2025-07-28
Components: the archive holds no method-to-method composition, so PwC's Components table cannot be rebuilt; the Papers list carries no Results column for the same reason (the archive does not join its leaderboard rows to method tags).
Categories archive 2025-07-28
Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections