Jan 11, 2021 · We propose a performance estimation strategy that reduces the resources for training NNs and increases NAS throughput without jeopardizing accuracy.
Recent works have proposed methods to automate the design of neural networks, including neural architecture search. (NAS) strategies to find near-optimal models ...
PEng4NN: An Accurate Performance Estimation Engine for Efficient Automated Neural Network Architecture Search · SOMOSPIE: A modular SOil MOisture SPatial ...
Speedy Performance Estimation for Neural Architecture Search
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Our model-free estimator is simple, efficient, and cheap to implement, and does not require hyperparameter-tuning or surrogate training ...
PEng4NN: An Accurate Performance Estimation Engine for Efficient Automated Neural Network Architecture Search · A. RorabaughSilvina Caíno-LoresMichael R ...
from publication: PEng4NN: An Accurate Performance Estimation Engine for Efficient Automated Neural Network Architecture Search | Neural network (NN) models ...
Jan 7, 2022 · The goal of NAS is to find an optimal architecture of a neural network for a given problem. In my case, I am interested in creating an ...
Missing: PEng4NN: Engine Automated
Jun 17, 2022 · I am currently working on an auto deep learning project on python on a specific task: binary classification on tabular data.
PEng4NN: An Accurate Performance Estimation Engine for Efficient Automated Neural Network Architecture Search. A Keller Rorabaugh, S Caíno-Lores, MR Wyatt, T ...