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Adaptive Pseudo Augmentation

APA

25 papers tagged archive 2025-07-28

Introduced by Liming Jiang et al. in Deceive D: Adaptive Pseudo Augmentation for GAN Training with Limited Data

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

The archive carries no description for this method.

PaperSource

Papers archive 2025-07-28

25 shown of 25, 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 45 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
regression3
Automatic Speech Recognition2
Clustering2
Data Augmentation2
Language Modeling2
Language Modelling2
Mamba2
Phone-level pronunciation scoring2
Utterance-level pronounciation scoring2
Word-level pronunciation scoring2
3D Scene Reconstruction1
3DGS1
Articles1
Automatic Speech Recognition (ASR)1
Autonomous Vehicles1
Chatbot1
Continual Learning1
Contrastive Learning1
Decision Making1
Decoder1

Usage over time archive 2025-07-28

Papers per year tagged with APA: 2021 to 2025, peak 9 9 0 2021: 2 papers 2021 2022: 1 paper 2022 2023: 7 papers 2023 2024: 9 papers 2024 2025: 6 papers 2025
Papers per year the archive tags with this method, by the paper's archive date (25 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

Image Data Augmentation

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