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Locality Sensitive Hashing Attention

LSH Attention

22 papers tagged archive 2025-07-28

archive 2025-07-28 Description, source and code snippet are the archive's method entry.

LSH Attention, or Locality Sensitive Hashing Attention is a replacement for dot-product attention with one that uses locality-sensitive hashing, changing its complexity from O(L²) to O(LlogL), where L is the length of the sequence. LSH refers to a family of functions (known as LSH families) to hash data points into buckets so that data points near each other are located in the same buckets with high probability, while data points far from each other are likely to be in different buckets. It was proposed as part of the Reformer architecture.

Source: Reformer: The Efficient TransformerSee Code · google/trax

Papers archive 2025-07-28

22 shown of 22, 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

20 shown of 50 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
Language Modelling3
Deep Learning2
Image Generation2
Language Modeling2
Reinforcement Learning (RL)2
Segmentation2
Sentence2
Survey2
Time Series2
Time Series Analysis2
Time Series Forecasting2
Attribute1
BIG-bench Machine Learning1
Binary Classification1
Click-Through Rate Prediction1
Computational Efficiency1
D4RL1
Data Augmentation1
Deblurring1
Decoder1

Usage over time archive 2025-07-28

Papers per year tagged with LSH Attention: 2020 to 2025, peak 7 7 0 2020: 7 papers 2020 2021: 5 papers 2021 2022: 4 papers 2022 2023: 1 paper 2023 2024: 3 papers 2024 2025: 2 papers 2025
Papers per year the archive tags with this method, by the paper's archive date (22 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

Attention Mechanisms

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