Methods › General › Output Functions › Mixture of Softmaxes

Mixture of Softmaxes

3 papers tagged archive 2025-07-28

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

Mixture of Softmaxes performs K different softmaxes and mixes them. The motivation is that the traditional softmax suffers from a softmax bottleneck, i.e. the expressiveness of the conditional probability we can model is constrained by the combination of a dot product and the softmax. By using a mixture of softmaxes, we can model the conditional probability more expressively.

Source: Breaking the Softmax Bottleneck: A High-Rank RNN Language ModelSee Code · zihangdai/mos

Papers archive 2025-07-28

3 shown of 3, 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

9 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 Modeling2
Language Modelling2
Machine Translation2
Translation2
Image Captioning1
Text Generation1
Tree Decomposition1
Vocal Bursts Intensity Prediction1
Word Embeddings1

Usage over time archive 2025-07-28

Papers per year tagged with Mixture of Softmaxes: 2017 to 2019, peak 1 1 0 2017: 1 paper 2017 2018: 1 paper 2018 2019: 1 paper 2019
Papers per year the archive tags with this method, by the paper's archive date (3 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

Output Functions

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