Methods › Natural Language Processing › Autoregressive Transformers › Sinkhorn Transformer
Sinkhorn Transformer
Introduced by Yi Tay et al. in Sparse Sinkhorn Attention
archive 2025-07-28 Description, source and code snippet are the archive's method entry.
The Sinkhorn Transformer is a type of transformer that uses Sparse Sinkhorn Attention as a building block. This component is a plug-in replacement for dense fully-connected attention (as well as local attention, and sparse attention alternatives), and allows for reduced memory complexity as well as sparse attention.
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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Sparse Sinkhorn Attention 26 Feb 2020 · 1 repository · arXiv:2002.11296
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 |
|---|---|
| Document Classification | 1 |
| Image Generation | 1 |
| Language Modeling | 1 |
| Language Modelling | 1 |
| Natural Language Inference | 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