Methods › General › Optimization › ADOPT

ADaptive gradient method with the OPTimal convergence rate

ADOPT

831 papers tagged archive 2025-07-28

Introduced by Shohei Taniguchi et al. in ADOPT: Modified Adam Can Converge with Any β₂ with the Optimal Rate

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

The archive carries only a placeholder description for this method.

PaperSource

Papers archive 2025-07-28

30 shown of 831, 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 546 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 Modeling31
Language Modelling31
Semantic Segmentation29
Large Language Model26
Retrieval26
Decision Making24
Denoising23
Federated Learning23
Image Generation22
Representation Learning21
Decoder20
Reinforcement Learning (RL)20
Contrastive Learning19
Segmentation18
Diversity17
Object17
Question Answering17
Computational Efficiency15
Fairness15
Image Segmentation15

Usage over time archive 2025-07-28

Papers per year tagged with ADOPT: 2024 to 2025, peak 627 627 0 2024: 204 papers 2024 2025: 627 papers 2025
Papers per year the archive tags with this method, by the paper's archive date (831 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

OptimizationStochastic Optimization

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