Model-Agnostic Meta-Learning (MAML)
GPTKB entity
Statements (23)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
meta-learning algorithm
|
| gptkbp:application |
gptkb:dictionary
gptkb:reinforcement_learning regression supervised learning |
| gptkbp:citation |
high
|
| gptkbp:designedFor |
few-shot learning
meta-learning |
| gptkbp:fullTitle |
gptkb:Model-Agnostic_Meta-Learning_for_Fast_Adaptation_of_Deep_Networks
|
| https://www.w3.org/2000/01/rdf-schema#label |
Model-Agnostic Meta-Learning (MAML)
|
| gptkbp:key |
learns model parameters that can be quickly adapted to new tasks
|
| gptkbp:openSource |
gptkb:GitHub
|
| gptkbp:proposedBy |
gptkb:Chelsea_Finn
gptkb:Pieter_Abbeel gptkb:Sergey_Levine |
| gptkbp:publicationYear |
2017
|
| gptkbp:publishedIn |
gptkb:International_Conference_on_Machine_Learning_(ICML)
|
| gptkbp:relatedTo |
gptkb:Dragon
gptkb:First-Order_MAML_(FOMAML) |
| gptkbp:supportsAlgorithm |
gradient-based meta-learning
|
| gptkbp:bfsParent |
gptkb:Chelsea_Finn
gptkb:Few-Shot_Learning |
| gptkbp:bfsLayer |
6
|