Methods › General › Loss Functions › Triplet Entropy Loss
Triplet Entropy Loss
Introduced by Ruan van der Merwe in Triplet Entropy Loss: Improving The Generalisation of Short Speech Language Identification Systems
archive 2025-07-28 Description, source and code snippet are the archive's method entry.
The Triplet Entropy Loss (TEL) training method aims to leverage both the strengths of Cross Entropy Loss (CEL) and Triplet loss during the training process, assuming that it would lead to better generalization. The TEL method though does not contain a pre-training step, but trains simultaneously with both CEL and Triplet losses.
Papers archive 2025-07-28
1 shown of 1, 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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Triplet Entropy Loss: Improving The Generalisation of Short Speech Language Identification Systems 3 Dec 2020 · 1 repository · arXiv:2012.03775
Tasks archive 2025-07-28
5 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 |
|---|---|
| Language Identification | 1 |
| Speech Language Identification | 1 |
| Spoken Language Understanding | 1 |
| Spoken language identification | 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
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