Methods › Sequential › Recurrent Neural Networks › Associative LSTM
Associative LSTM
Introduced by Ivo Danihelka et al. in Associative Long Short-Term Memory
archive 2025-07-28 Description, source and code snippet are the archive's method entry.
An Associative LSTM combines an LSTM with ideas from Holographic Reduced Representations (HRRs) to enable key-value storage of data. HRRs use a “binding” operator to implement key-value binding between two vectors (the key and its associated content). They natively implement associative arrays; as a byproduct, they can also easily implement stacks, queues, or lists.
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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Associative Long Short-Term Memory 9 Feb 2016 · 3 repositories · arXiv:1602.03032
Tasks archive 2025-07-28
2 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 |
|---|---|
| Memorization | 1 |
| Retrieval | 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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