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Iterative Monte Carlo Tree Search for Neural Architecture Search
Mehraveh Javan Roshtkhari
,
Matthew Toews
,
Marco Pedersoli
École de technologie supérieure
Systems Engineering Department
LIVIA - Imaging, Vision and Artificial Intelligence Laboratory
École de technologie supérieure
Research output
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peer-review
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Dive into the research topics of 'Iterative Monte Carlo Tree Search for Neural Architecture Search'. Together they form a unique fingerprint.
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Keyphrases
Neural Architecture Search
100%
Monte Carlo Tree Search
100%
Search Approach
40%
Validation Set
20%
Search Process
20%
Best Solution
20%
Highly Sensitive
20%
Recognition Model
20%
Effective Approach
20%
Performance Estimation
20%
Optimal Node
20%
Classification Benchmark
20%
Tree Search
20%
Node Ordering
20%
Minimal Sampling
20%
Exponential numbers
20%
Segmentation Task
20%
Number of Nodes
20%
Computer Science
Tree Search
100%
Neural Architecture Search
100%
Validation Set
16%
Segmentation Task
16%
Effective Approach
16%
Exponential Number
16%