Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
GPTKB entity
Statements (19)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
gptkb:academic_journal
|
| gptkbp:abbreviation |
MAML
|
| gptkbp:author |
gptkb:Chelsea_Finn
gptkb:Pieter_Abbeel gptkb:Sergey_Levine |
| gptkbp:citation |
over 8000
|
| gptkbp:field |
gptkb:machine_learning
meta-learning |
| gptkbp:focusesOn |
fast adaptation of deep networks to new tasks
|
| gptkbp:hasMethod |
gptkb:Model-Agnostic_Meta-Learning_(MAML)
|
| https://www.w3.org/2000/01/rdf-schema#label |
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
|
| gptkbp:influenced |
meta-learning research
|
| gptkbp:language |
English
|
| gptkbp:method |
gradient-based meta-learning
|
| gptkbp:publicationYear |
2017
|
| gptkbp:publishedIn |
Proceedings of the 34th International Conference on Machine Learning (ICML 2017)
|
| gptkbp:url |
https://arxiv.org/abs/1703.03400
|
| gptkbp:bfsParent |
gptkb:Model-Agnostic_Meta-Learning_(MAML)
|
| gptkbp:bfsLayer |
7
|