Methods › Computer Vision › Image Data Augmentation › ADA

Adaptive Discriminator Augmentation

ADA

68 papers tagged archive 2025-07-28

Introduced by Tero Karras et al. in Training Generative Adversarial Networks 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

30 shown of 68, 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 98 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
Domain Adaptation20
Data Augmentation11
Active Learning6
Diversity6
Transfer Learning6
Unsupervised Domain Adaptation6
Domain Generalization3
GPU3
Language Modeling3
Language Modelling3
feature selection3
regression3
Image Generation2
Intrusion Detection2
Medical Image Generation2
Pseudo Label2
Representation Learning2
Retrieval2
Semantic Segmentation2
Source-Free Domain Adaptation2

Usage over time archive 2025-07-28

Papers per year tagged with ADA: 2020 to 2025, peak 18 18 0 2020: 5 papers 2020 2021: 9 papers 2021 2022: 12 papers 2022 2023: 18 papers 2023 2024: 18 papers 2024 2025: 6 papers 2025
Papers per year the archive tags with this method, by the paper's archive date (68 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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