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Sparsemax

27 papers tagged archive 2025-07-28

Introduced by André F. T. Martins et al. in From Softmax to Sparsemax: A Sparse Model of Attention and Multi-Label Classification

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

Sparsemax is a type of activation/output function similar to the traditional softmax, but able to output sparse probabilities.

sparsemax(z) = _(p∈Δᴷ⁻¹)min||𝐩 - 𝐳||²

PaperSourceSee Code · vene/sparse-structured-attention

Papers archive 2025-07-28

27 shown of 27, 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 51 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
Machine Translation4
Translation4
General Classification3
Language Modeling3
Language Modelling3
Decoder2
Morphological Inflection2
Question Answering2
Text Classification2
Visual Question Answering2
Visual Question Answering (VQA)2
text-classification2
Abstractive Text Summarization1
Audio Classification1
Autonomous Driving1
Conformal Prediction1
Dialogue Generation1
Diversity1
Document Classification1
Hallucination1

Usage over time archive 2025-07-28

Papers per year tagged with Sparsemax: 2016 to 2025, peak 7 7 0 2016: 1 paper 2016 2017: 0 papers 2017 2018: 1 paper 2018 2019: 4 papers 2019 2020: 7 papers 2020 2021: 5 papers 2021 2022: 2 papers 2022 2023: 2 papers 2023 2024: 2 papers 2024 2025: 3 papers 2025
Papers per year the archive tags with this method, by the paper's archive date (27 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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