Metric Learning
Network AIO:MetricLearning NOT_REVIEWED
A deep neural network that learns a representation function mapping objects into an embedded space.
Ontology IRI:
https://w3id.org/aio/MetricLearning
Ontology Structure & Relationships
Parent Classes
Branches
Annotations & Sources
Synonyms:
- Distance Metric Learning exact
Definition Sources:
Subsets:
https://w3id.org/aio/NetworkSubset
Curated AIMech Concepts Grounded to this Class
1 Concept| Curated Concept | Kind | Mapping Relation | Rationale |
|---|---|---|---|
Lifted structured embedding loss
AIMech:LiftedStructuredEmbeddingLoss |
Mathematical Methods | related_match | The loss trains neural representations so positive examples are closer than negatives. AIO MetricLearning is a deep-network representation-learning concept; this objective-to-training-approach relation is related only, not equivalence or subclass membership. |
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/MetricLearning.yaml