Methods › Sequential › Temporal Convolutions › DynamicConv

Dynamic Convolution

DynamicConv

11 papers tagged archive 2025-07-28

Introduced by Felix Wu et al. in Pay Less Attention with Lightweight and Dynamic Convolutions

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

DynamicConv is a type of convolution for sequential modelling where it has kernels that vary over time as a learned function of the individual time steps. It builds upon LightConv and takes the same form but uses a time-step dependent kernel:

DynamicConv(X, i, c) = LightConv(X, f(Xᵢ)_(h,:), i, c)

PaperSourceSee Code · pytorch/fairseq

Papers archive 2025-07-28

11 shown of 11, 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 29 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
Language Modeling2
Language Modelling2
Object Detection2
object-detection2
Abstractive Text Summarization1
Automatic Speech Recognition1
Automatic Speech Recognition (ASR)1
Bias Detection1
Data Augmentation1
Drug Discovery1
Image Classification1
Instance Segmentation1
Misinformation1
Natural Language Understanding1
Object1
Punctuation Restoration1
RGB Salient Object Detection1
Salient Object Detection1

Usage over time archive 2025-07-28

Papers per year tagged with DynamicConv: 2019 to 2025, peak 2 2 0 2019: 2 papers 2019 2020: 2 papers 2020 2021: 1 paper 2021 2022: 1 paper 2022 2023: 2 papers 2023 2024: 1 paper 2024 2025: 2 papers 2025
Papers per year the archive tags with this method, by the paper's archive date (11 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 ConvolutionsConvolutions

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