How powerful are performance predictors in neural architecture search?
Early methods in the rapidly develo** field of neural architecture search (NAS) required
fully training thousands of neural networks. To reduce this extreme computational cost …
fully training thousands of neural networks. To reduce this extreme computational cost …
Best practices for scientific research on neural architecture search
Finding a well-performing architecture is often tedious for both deep learning practitioners
and researchers, leading to tremendous interest in the automation of this task by means of …
and researchers, leading to tremendous interest in the automation of this task by means of …
NAS-bench-suite: NAS evaluation is (now) surprisingly easy
Y Mehta, C White, A Zela, A Krishnakumar… - ar** and comparing NAS methods while at the same time drastically reduced the …
Poster: Scaling up deep neural network optimization for edge inference
Deep neural networks (DNNs) have been increasingly deployed on and integrated with
edge devices, such as mobile phones, drones, robots and wearables. Compared to cloud …
edge devices, such as mobile phones, drones, robots and wearables. Compared to cloud …
Scaling up deep neural network optimization for edge inference
Deep neural networks (DNNs) have been increasingly deployed on and integrated with
edge devices, such as mobile phones, drones, robots and wearables. To run DNN inference …
edge devices, such as mobile phones, drones, robots and wearables. To run DNN inference …
Improving Neural Architecture Search With Bayesian Optimization and Generalization Mechanisms
VF Lopes - 2024 - search.proquest.com
Os avanços nos domínios da Inteligência Artificial (IA) e da Aprendizagem Automática (AA)
permitiram obter resultados impressionantes em vários problemas. Estes avanços podem …
permitiram obter resultados impressionantes em vários problemas. Estes avanços podem …