Methods › Natural Language Processing › Sentence Embeddings › PAUSE
PAUSE
archive 2025-07-28 Description, source and code snippet are the archive's method entry.
PAUSE, or Positive and Annealed Unlabeled Sentence Embedding, is an approach for learning sentence embeddings from a partially labeled dataset. It is based on a dual encoder schema that is widely adopted in supervised sentence embedding training. Each individual sample 𝐱 contains a pair of hypothesis and premise sentences (xᵢ,x^'ᵢ), each of which is fed into a pretrained encoder (e.g. BERT). As shown in Figure, the two encoders are identical during the training by sharing their weights.
Papers archive 2025-07-28
2 shown of 2, 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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PAUSE: Low-Latency and Privacy-Aware Active User Selection for Federated Learning 17 Mar 2025 · 1 repository · arXiv:2503.13173
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PAUSE: Positive and Annealed Unlabeled Sentence Embedding 7 Sep 2021 · 1 repository · arXiv:2109.03155Syntology ran 2 of 2 samples · 0 unverified
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 |
|---|---|
| Federated Learning | 1 |
| Sentence | 1 |
| Sentence Embedding | 1 |
| Sentence Embeddings | 1 |
| Sentence-Embedding | 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