Methods › Natural Language Processing › Language Model Components › Neural Cache
Neural Cache
Introduced by Edouard Grave et al. in Improving Neural Language Models with a Continuous Cache
archive 2025-07-28 Description, source and code snippet are the archive's method entry.
A Neural Cache, or a Continuous Cache, is a module for language modelling which stores previous hidden states in memory cells. They are then used as keys to retrieve their corresponding word, that is the next word. There is no transformation applied to the storage during writing and reading.
More formally it exploits the hidden representations hₜ to define a probability distribution over the words in the cache. As illustrated in the Figure, the cache stores pairs (hᵢ, xᵢ₊₁) of a hidden representation, and the word which was generated based on this representation (the vector hᵢ encodes the history xᵢ, …, x₁). At time t, we then define a probability distribution over words stored in the cache based on the stored hidden representations and the current one hₜ as:
p_(cache)(w | h_(1…t), x_(1…t)) ∝∑ᵗ⁻¹ᵢ₌₁1_(set(w=xᵢ₊₁)) exp(θₕ>hₜᵀhᵢ)
where the scalar θ is a parameter which controls the flatness of the distribution. When θ is equal to zero, the probability distribution over the history is uniform, and the model is equivalent to a unigram cache model.
Papers archive 2025-07-28
4 shown of 4, 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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Information-Weighted Neural Cache Language Models for ASR 24 Sep 2018 · 0 repositories · arXiv:1809.08826
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Neural Cache: Bit-Serial In-Cache Acceleration of Deep Neural Networks 9 May 2018 · 0 repositories · arXiv:1805.03718
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Regularizing and Optimizing LSTM Language Models 7 Aug 2017 · 45 repositories · arXiv:1708.02182Syntology ran 6 of 7 samples · 1 unverified · 7 pointer-only (licence)
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Improving Neural Language Models with a Continuous Cache 13 Dec 2016 · 14 repositories · arXiv:1612.04426
Tasks archive 2025-07-28
7 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 |
|---|---|
| Language Modeling | 2 |
| Language Modelling | 2 |
| CPU | 1 |
| GPU | 1 |
| Image Classification | 1 |
| Quantization | 1 |
| Translation | 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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