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A comprehensive survey of neural architecture search: Challenges and solutions
Deep learning has made substantial breakthroughs in many fields due to its powerful
automatic representation capabilities. It has been proven that neural architecture design is …
automatic representation capabilities. It has been proven that neural architecture design is …
Deep learning and medical image analysis for COVID-19 diagnosis and prediction
The coronavirus disease 2019 (COVID-19) pandemic has imposed dramatic challenges to
health-care organizations worldwide. To combat the global crisis, the use of thoracic …
health-care organizations worldwide. To combat the global crisis, the use of thoracic …
AutoML: A survey of the state-of-the-art
Deep learning (DL) techniques have obtained remarkable achievements on various tasks,
such as image recognition, object detection, and language modeling. However, building a …
such as image recognition, object detection, and language modeling. However, building a …
Automated machine learning: past, present and future
Automated machine learning (AutoML) is a young research area aiming at making high-
performance machine learning techniques accessible to a broad set of users. This is …
performance machine learning techniques accessible to a broad set of users. This is …
Auto-deeplab: Hierarchical neural architecture search for semantic image segmentation
Abstract Recently, Neural Architecture Search (NAS) has successfully identified neural
network architectures that exceed human designed ones on large-scale image …
network architectures that exceed human designed ones on large-scale image …
Neural architecture search: A survey
Deep Learning has enabled remarkable progress over the last years on a variety of tasks,
such as image recognition, speech recognition, and machine translation. One crucial aspect …
such as image recognition, speech recognition, and machine translation. One crucial aspect …
Darts: Differentiable architecture search
This paper addresses the scalability challenge of architecture search by formulating the task
in a differentiable manner. Unlike conventional approaches of applying evolution or …
in a differentiable manner. Unlike conventional approaches of applying evolution or …
Nas-unet: Neural architecture search for medical image segmentation
Y Weng, T Zhou, Y Li, X Qiu - IEEE access, 2019 - ieeexplore.ieee.org
Neural architecture search (NAS) has significant progress in improving the accuracy of
image classification. Recently, some works attempt to extend NAS to image segmentation …
image classification. Recently, some works attempt to extend NAS to image segmentation …
From federated learning to federated neural architecture search: a survey
Federated learning is a recently proposed distributed machine learning paradigm for privacy
preservation, which has found a wide range of applications where data privacy is of primary …
preservation, which has found a wide range of applications where data privacy is of primary …
Neural architecture search survey: A computer vision perspective
In recent years, deep learning (DL) has been widely studied using various methods across
the globe, especially with respect to training methods and network structures, proving highly …
the globe, especially with respect to training methods and network structures, proving highly …