Articles with "architecture search" as a keyword



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A neural architecture search method based on gradient descent for remaining useful life estimation

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Published in 2021 at "Neurocomputing"

DOI: 10.1016/j.neucom.2021.01.072

Abstract: Abstract Remaining useful life is the estimated continuous normal working time of a component or system from the current moment to the potential failure. The traditional methods have high trial-and-error costs and poor migration capabilities.… read more here.

Keywords: neural architecture; search method; architecture search; search ... See more keywords
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Exploring Neural Architecture Search Space via Deep Deterministic Sampling

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Published in 2021 at "IEEE Access"

DOI: 10.1109/access.2021.3101975

Abstract: Recent developments in Neural Architecture Search (NAS) resort to training the supernet of a predefined search space with weight sharing to speed up architecture evaluation. These include random search schemes, as well as various schemes… read more here.

Keywords: architecture search; architecture; search space; neural architecture ... See more keywords
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MOO-DNAS: Efficient Neural Network Design via Differentiable Architecture Search Based on Multi-Objective Optimization

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Published in 2022 at "IEEE Access"

DOI: 10.1109/access.2022.3148323

Abstract: The progress devoted to improving the performance of neural networks has come at a high price in terms of cost and experience. Fortunately, the emergence of Neural Architecture Search improves the speed of network design,… read more here.

Keywords: network design; moo dnas; architecture search; search ... See more keywords
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A Novel LoRa LPWAN-based Communication Architecture for Search & Rescue Missions

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Published in 2022 at "IEEE Access"

DOI: 10.1109/access.2022.3178437

Abstract: To avoid risking the lives of rescue team personnel in the event of disasters like earthquakes, volcanic eruptions, hurricanes, etc., Search and Rescue (SAR) robots are increasingly incorporated into the operation. One of the major… read more here.

Keywords: search rescue; architecture search; communication architecture; communication ... See more keywords
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RoHNAS: A Neural Architecture Search Framework With Conjoint Optimization for Adversarial Robustness and Hardware Efficiency of Convolutional and Capsule Networks

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Published in 2022 at "IEEE Access"

DOI: 10.1109/access.2022.3214312

Abstract: Neural Architecture Search (NAS) algorithms aim at finding efficient Deep Neural Network (DNN) architectures for a given application under given system constraints. DNNs are computationally-complex as well as vulnerable to adversarial attacks. In order to… read more here.

Keywords: hardware; robustness hardware; hardware efficiency; adversarial robustness ... See more keywords
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DistilNAS: Neural Architecture Search With Distilled Data

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Published in 2022 at "IEEE Access"

DOI: 10.1109/access.2022.3224788

Abstract: Can we perform Neural Architecture Search (NAS) with a smaller subset of target dataset and still fair better in terms of performance with significant reduction in search cost? In this work, we propose a method,… read more here.

Keywords: distilnas neural; search; dataset; neural architecture ... See more keywords
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BNNAS++: Towards Unbiased Neural Architecture Search With Batch Normalization

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Published in 2022 at "IEEE Access"

DOI: 10.1109/access.2022.3226692

Abstract: Neural Architecture Search (NAS) achieves significant progress in many computer vision tasks, yet training and searching high-performance architectures over large search space are time-consuming. The NAS with BatchNorm (BNNAS) is an efficient NAS algorithm to… read more here.

Keywords: search space; bnnas; search; neural architecture ... See more keywords
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Neural Architecture Search Benchmarks: Insights and Survey

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Published in 2023 at "IEEE Access"

DOI: 10.1109/access.2023.3253818

Abstract: 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… read more here.

Keywords: benchmarks insights; search benchmarks; search; neural architecture ... See more keywords
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Toward Tailored Models on Private AIoT Devices: Federated Direct Neural Architecture Search

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Published in 2022 at "IEEE Internet of Things Journal"

DOI: 10.1109/jiot.2022.3154605

Abstract: Neural networks often encounter various stringent resource constraints while deploying on edge devices. To tackle these problems with less human efforts, automated machine learning becomes popular in finding various neural architectures that fit diverse Artificial… read more here.

Keywords: direct neural; architecture; neural architecture; architecture search ... See more keywords
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GNAS-U2Net: A New Optic Cup and Optic Disc Segmentation Architecture With Genetic Neural Architecture Search

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Published in 2022 at "IEEE Signal Processing Letters"

DOI: 10.1109/lsp.2022.3151549

Abstract: Neural architecture search (NAS) has made incredible progress in medical image segmentation tasks, due to its automatic design of the model. However, the search spaces studied in many existing studies are based on U-Net and… read more here.

Keywords: gnas u2net; segmentation; architecture; neural architecture ... See more keywords
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Channel Shuffle Neural Architecture Search for Key Word Spotting

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Published in 2023 at "IEEE Signal Processing Letters"

DOI: 10.1109/lsp.2023.3265573

Abstract: The evolution of Network Architecture (NA) allowed Key-Word Spotting (KWS) to exhibit high performance. Generally, NA for KWS is required to have low parameter and computation complexity maintaining high classification performance. Most of the attempts… read more here.

Keywords: network; architecture; neural architecture; architecture search ... See more keywords