Class: SelfSupervisedLearning
Machine learning approach that uses unsupervised learning for tasks that
typically require supervision, generating implicit labels from
unstructured data, where models are trained on a task using the data
itself to provide supervisory signals, often used in neural networks to
exploit inherent structures or relationships within input data to
generate training signals
URI: ai:SelfSupervisedLearning
classDiagram
class SelfSupervisedLearning
click SelfSupervisedLearning href "../SelfSupervisedLearning/"
TrainingTechnique <|-- SelfSupervisedLearning
click TrainingTechnique href "../TrainingTechnique/"
MachineLearning <|-- SelfSupervisedLearning
click MachineLearning href "../MachineLearning/"
Inheritance
- AiAI
- Technique
- MachineLearning
- SelfSupervisedLearning [ TrainingTechnique]
- MachineLearning
- Technique
Class Properties
| Property | Value |
|---|---|
| Class URI | ai:SelfSupervisedLearning |
Slots
| Name | Cardinality and Range | Description | Inheritance |
|---|---|---|---|
In Subsets
Aliases
- Self-Supervised Learning
Identifier and Mapping Information
Annotations
| property | value |
|---|---|
| upstream_iri | https://w3id.org/dpv/ai/owl#SelfSupervisedLearning |
| dpv_extension_slug | ai |
Schema Source
- from schema: https://w3id.org/lmodel/dpv/ai
Mappings
| Mapping Type | Mapped Value |
|---|---|
| self | ai:SelfSupervisedLearning |
| native | ai:SelfSupervisedLearning |
| exact | dpv_ai:SelfSupervisedLearning, dpv_ai_owl:SelfSupervisedLearning |
LinkML Source
Direct
name: SelfSupervisedLearning
annotations:
upstream_iri:
tag: upstream_iri
value: https://w3id.org/dpv/ai/owl#SelfSupervisedLearning
dpv_extension_slug:
tag: dpv_extension_slug
value: ai
description: 'Machine learning approach that uses unsupervised learning for tasks
that
typically require supervision, generating implicit labels from
unstructured data, where models are trained on a task using the data
itself to provide supervisory signals, often used in neural networks to
exploit inherent structures or relationships within input data to
generate training signals'
in_subset:
- ai_techniques_subset
- ai_subset
from_schema: https://w3id.org/lmodel/dpv/ai
aliases:
- Self-Supervised Learning
exact_mappings:
- dpv_ai:SelfSupervisedLearning
- dpv_ai_owl:SelfSupervisedLearning
is_a: MachineLearning
mixins:
- TrainingTechnique
class_uri: ai:SelfSupervisedLearning
Induced
name: SelfSupervisedLearning
annotations:
upstream_iri:
tag: upstream_iri
value: https://w3id.org/dpv/ai/owl#SelfSupervisedLearning
dpv_extension_slug:
tag: dpv_extension_slug
value: ai
description: 'Machine learning approach that uses unsupervised learning for tasks
that
typically require supervision, generating implicit labels from
unstructured data, where models are trained on a task using the data
itself to provide supervisory signals, often used in neural networks to
exploit inherent structures or relationships within input data to
generate training signals'
in_subset:
- ai_techniques_subset
- ai_subset
from_schema: https://w3id.org/lmodel/dpv/ai
aliases:
- Self-Supervised Learning
exact_mappings:
- dpv_ai:SelfSupervisedLearning
- dpv_ai_owl:SelfSupervisedLearning
is_a: MachineLearning
mixins:
- TrainingTechnique
class_uri: ai:SelfSupervisedLearning