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Rank-based loss

Rank-based Loss

4 papers tagged archive 2025-07-28

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.

PaperSource

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.

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.

TaskPapers
Adversarial Attack1
Audio Classification1
Binary Classification1
Edge Detection1
Face Recognition1
Knowledge Distillation1
Transfer Learning1
Triplet1

Usage over time archive 2025-07-28

Papers per year tagged with Rank-based Loss: 2021 to 2024, peak 1 1 0 2021: 1 paper 2021 2022: 1 paper 2022 2023: 1 paper 2023 2024: 1 paper 2024
Papers per year the archive tags with this method, by the paper's archive date (4 dated). Bars are counts, not a trend claim.

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

Loss Functions

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