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Eight years of AutoML: categorisation, review and trends
Abstract Knowledge extraction through machine learning techniques has been successfully
applied in a large number of application domains. However, apart from the required …
applied in a large number of application domains. However, apart from the required …
[HTML][HTML] Neural architecture search: A contemporary literature review for computer vision applications
Abstract Deep Neural Networks have received considerable attention in recent years. As the
complexity of network architecture increases in relation to the task complexity, it becomes …
complexity of network architecture increases in relation to the task complexity, it becomes …
Neural architecture search: Insights from 1000 papers
In the past decade, advances in deep learning have resulted in breakthroughs in a variety of
areas, including computer vision, natural language understanding, speech recognition, and …
areas, including computer vision, natural language understanding, speech recognition, and …
Cbnet: A composite backbone network architecture for object detection
Modern top-performing object detectors depend heavily on backbone networks, whose
advances bring consistent performance gains through exploring more effective network …
advances bring consistent performance gains through exploring more effective network …
Auto-heg: Automated graph neural network on heterophilic graphs
Graph neural architecture search (NAS) has gained popularity in automatically designing
powerful graph neural networks (GNNs) with relieving human efforts. However, existing …
powerful graph neural networks (GNNs) with relieving human efforts. However, existing …
Stacked ensemble machine learning for porosity and absolute permeability prediction of carbonate rock plugs
This study employs a stacked ensemble machine learning approach to predict carbonate
rocks' porosity and absolute permeability with various pore-throat distributions and …
rocks' porosity and absolute permeability with various pore-throat distributions and …
Bi-level alignment for cross-domain crowd counting
Recently, crowd density estimation has received increasing attention. The main challenge
for this task is to achieve high-quality manual annotations on a large amount of training data …
for this task is to achieve high-quality manual annotations on a large amount of training data …
Hypersegnas: Bridging one-shot neural architecture search with 3d medical image segmentation using hypernet
Semantic segmentation of 3D medical images is a challenging task due to the high
variability of the shape and pattern of objects (such as organs or tumors). Given the recent …
variability of the shape and pattern of objects (such as organs or tumors). Given the recent …
Efficient evaluation methods for neural architecture search: A survey
Neural Architecture Search (NAS) has received increasing attention because of its
exceptional merits in automating the design of Deep Neural Network (DNN) architectures …
exceptional merits in automating the design of Deep Neural Network (DNN) architectures …
Systematic review on neural architecture search
Abstract Machine Learning (ML) has revolutionized various fields, enabling the development
of intelligent systems capable of solving complex problems. However, the process of …
of intelligent systems capable of solving complex problems. However, the process of …