Neural Architecture Search with Reinforcement Learning
GPTKB entity
Statements (19)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
gptkb:academic_journal
|
| gptkbp:arXivID |
1611.01578
|
| gptkbp:author |
gptkb:Quoc_V._Le
gptkb:Barret_Zoph |
| gptkbp:citation |
highly cited
|
| gptkbp:field |
gptkb:machine_learning
neural architecture search |
| https://www.w3.org/2000/01/rdf-schema#label |
Neural Architecture Search with Reinforcement Learning
|
| gptkbp:impact |
pioneered automated neural architecture design
|
| gptkbp:influenced |
AutoML research
subsequent NAS methods |
| gptkbp:method |
gptkb:reinforcement_learning
|
| gptkbp:proposedBy |
using a recurrent neural network controller to generate neural network architectures
|
| gptkbp:publicationDate |
gptkb:arXiv
|
| gptkbp:publicationYear |
2016
|
| gptkbp:bfsParent |
gptkb:Google_Brain_(former)
gptkb:Barrett_Zoph gptkb:Barret_Zoph |
| gptkbp:bfsLayer |
7
|