Methods › Natural Language Processing › Transformers › Nyströmformer
Nyströmformer
archive 2025-07-28 Description, source and code snippet are the archive's method entry.
Nyströmformer replaces the self-attention in BERT-small and BERT-base using the proposed Nyström approximation. This reduces self-attention complexity to O(n) and allows the Transformer to support longer sequences.
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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Vision Xformers: Efficient Attention for Image Classification 5 Jul 2021 · 2 repositories · arXiv:2107.02239
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Nyströmformer: A Nyström-Based Algorithm for Approximating Self-Attention 7 Feb 2021 · 10 repositories · arXiv:2102.03902Syntology ran 1 of 2 samples · 1 unverified · 1 pointer-only (licence)
Tasks archive 2025-07-28
10 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 |
|---|---|
| Classification | 1 |
| GPU | 1 |
| Image Classification | 1 |
| Inductive Bias | 1 |
| Natural Language Inference | 1 |
| Position | 1 |
| Question Answering | 1 |
| Semantic Textual Similarity | 1 |
| Sentiment Analysis | 1 |
| image-classification | 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