Transfer Learning
MachineLearningTask AIO:TransferLearning NOT_REVIEWED
A machine learning task focused on methods that reuse or transfer information from previously learned tasks to facilitate the learning of new tasks.
Ontology IRI:
https://w3id.org/aio/TransferLearning
Ontology Structure & Relationships
Parent Classes
Branches
Annotations & Sources
Definition Sources:
Subsets:
https://w3id.org/aio/NetworkSubset
Curated AIMech Concepts Grounded to this Class
2 Concepts| Curated Concept | Kind | Mapping Relation | Rationale |
|---|---|---|---|
Low-rank adaptation
AIMech:LoRA |
Algorithms | related_match | LoRA implements an adaptation procedure; the AIO target denotes the general transfer-learning task rather than this factorization algorithm. |
Multi-task Bayesian optimization
AIMech:MultiTaskBayesianOptimization |
Algorithms | related_match | The method reuses observations from related optimization tasks through a shared surrogate. This relates it to the pinned machine-learning task of transferring information from learned tasks, without equating an optimization algorithm with that task or asserting neural weight transfer or a subclass. |
Import Provenance & Upstream Synchronization
Source Repo: AIO GitHub
Release Version:
aio.jsonCommit:
397851c547…License: CC-BY-4.0
Imported At: 2026-10-10T07:34:10Z
SHA256:
8f741d71408c…
Source File:
data/aio/TransferLearning.yaml