Neural Architecture Search Benchmarks: Insights and Survey

Neural Architecture Search Benchmarks: Insights and Survey

Neural Architecture Search (NAS), a promising and fast-moving research field, aims to automate the architectural design of Deep Neural Networks (DNNs) to achieve better performance on the given task and dataset. NAS methods have been very successful in discovering efficient models for various Comput...

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Bibliographic Details
Main Authors: Krishna Teja Chitty-Venkata, Murali Emani, Venkatram Vishwanath, Arun K. Somani
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Neural architecture search benchmarks
convolutional neural networks
hardware-aware neural architecture search
hyperparameter optimization
RNN
LSTM
Online Access:https://ieeexplore.ieee.org/document/10063950/

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