Methods › Natural Language Processing › Transformers › Focus

Focus

15,340 papers tagged archive 2025-07-28

Introduced by Shahar Lutati et al. in Focus Your Attention (with Adaptive IIR Filters)

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 15,340, 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 1,935 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
Language Modelling735
Language Modeling584
Retrieval504
Semantic Segmentation465
Decision Making445
Question Answering441
Large Language Model438
Object Detection364
object-detection356
Representation Learning351
Contrastive Learning345
Segmentation325
Object319
Benchmarking314
Diversity301
Fairness299
Image Generation288
Autonomous Driving274
Transfer Learning260
Denoising258

Usage over time archive 2025-07-28

Papers per year tagged with Focus: 2023 to 2025, peak 7,710 7,710 0 2023: 3769 papers 2023 2024: 7710 papers 2024 2025: 3861 papers 2025
Papers per year the archive tags with this method, by the paper's archive date (15,340 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

Transformers

Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections