Methods › Sequential › Temporal Convolutions › Gated Convolution

Gated Convolution

35 papers tagged archive 2025-07-28

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

A Gated Convolution is a type of temporal convolution with a gating mechanism. Zero-padding is used to ensure that future context can not be seen.

Source: Language Modeling with Gated Convolutional Networks

Papers archive 2025-07-28

30 shown of 35, 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 89 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
Image Inpainting6
Denoising4
Object Detection4
Semantic Segmentation4
Image Classification3
Pose Estimation3
Prediction3
Representation Learning3
object-detection3
3D Human Pose Estimation2
Form2
Graph Neural Network2
Language Modeling2
Language Modelling2
Mamba2
valid2
2D Pose Estimation1
3D Pose Estimation1
Audio Classification1
Automatic Speech Recognition1

Usage over time archive 2025-07-28

Papers per year tagged with Gated Convolution: 2016 to 2025, peak 9 9 0 2016: 1 paper 2016 2017: 0 papers 2017 2018: 1 paper 2018 2019: 3 papers 2019 2020: 4 papers 2020 2021: 3 papers 2021 2022: 8 papers 2022 2023: 9 papers 2023 2024: 5 papers 2024 2025: 1 paper 2025
Papers per year the archive tags with this method, by the paper's archive date (35 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

Temporal Convolutions

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