Results 81 to 90 of about 7,839,223 (287)

Continuous Evolutionary Neural Architecture Search Based on Biased Sampling [PDF]

Jisuanji gongcheng
Neural Architecture Search(NAS) typically requires a considerable amount of time and computing resources due to the independent performance evaluation of each architecture it searches.
YU XUE, Changchang LU
doaj   +1 more source

Pol-NAS: A Neural Architecture Search Method With Feature Selection for PolSAR Image Classification

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022
With the development of deep learning, more and more neural networks have been used in polarimetric synthetic aperture radar (PolSAR) image classification and obtain good results.
Guangyuan Liu, Yangyang Li, Yanqiao Chen, Ronghua Shang, Licheng Jiao   +4 more
doaj   +1 more source

PV-NAS: Practical Neural Architecture Search for Video Recognition

CoRR, 2020
Recently, deep learning has been utilized to solve video recognition problem due to its prominent representation ability. Deep neural networks for video tasks is highly customized and the design of such networks requires domain experts and costly trial and error tests.
Zihao Wang, Chen Lin 0003, Lu Sheng, Junjie Yan, Jing Shao   +4 more
openaire   +2 more sources

GeNAS: Neural Architecture Search with Better Generalization

, 2023
Neural Architecture Search (NAS) aims to automatically excavate the optimal network architecture with superior test performance. Recent neural architecture search (NAS) approaches rely on validation loss or accuracy to find the superior network for the ...
Yu, Joonsang, Park, Geondo, Yoo, YoungJoon, Jeong, Joonhyun, Han, Dongyoon   +4 more
core  

Exploiting Operation Importance for Differentiable Neural Architecture Search

, 2021
Recently, differentiable neural architecture search (NAS) methods have made significant progress in reducing the computational costs of NASs. Existing methods search for the best architecture by choosing candidate operations with higher architecture ...
Kung, Sun-Yuan, Zhou, Yuan, Xie, Xukai, Xukai Xie, Yuan Zhou, Sun-Yuan Kung   +5 more
core   +1 more source

Robust Neural Architecture Search [PDF]

, 2023
Neural Architectures Search (NAS) becomes more and more popular over these years. However, NAS-generated models tends to suffer greater vulnerability to various malicious attacks.
Wang, Weiping, Zhu, Xunyu, Liu, Yong, Li, Jian   +3 more
core   +1 more source

POPNASv2: An Efficient Multi-Objective Neural Architecture Search Technique [PDF]

, 2022
Automating the research for the best neural network model is a task that has gained more and more relevance in the last few years. In this context, Neural Architecture Search (NAS) represents the most effective technique whose results rival the state of ...
Eugenio Lomurno, Stefano Samele, Matteo Matteucci, Andrea Falanti, Danilo Ardagna, Falanti, Andrea, Matteucci, Matteo, Lomurno, Eugenio, Samele, Stefano, Ardagna, Danilo   +9 more
core   +1 more source

Clinical Validation of Artificial Intelligence (AI)‐based Cartilage Segmentation Predicting Knee Replacement

Arthritis Care &Research, Accepted Article.
Objective For cartilage morphology to serve as a scalable endpoint in clinical trials, analyses should be performed automatically without human interaction. To clinically validate artificial intelligence (AI)‐based analysis, we studied cartilage loss from MRI prior to knee replacement.
Felix Eckstein, David J. Hunter, C. Kent Kwoh, Wolfgang Wirth   +3 more
wiley   +1 more source

Low Cost Evolutionary Neural Architecture Search (LENAS) Applied to Traffic Forecasting

Machine Learning and Knowledge Extraction, 2023
Traffic forecasting is an important task for transportation engineering as it helps authorities to plan and control traffic flow, detect congestion, and reduce environmental impact.
Daniel Klosa, Christof Büskens
doaj   +1 more source

Beyond Visual Scoring: Computational Computed Tomography Analysis for High‐Resolution Computed Tomography–Based Quantification of Interstitial Lung Disease in Inflammatory Rheumatic Disease

Arthritis Care &Research, EarlyView.
Interstitial lung disease (ILD) is a significant cause of morbidity and mortality in patients with inflammatory rheumatic disorders (IRDs). High‐resolution computed tomography (HRCT) is widely considered the gold standard for the noninvasive assessment of ILD; however, its interpretation is constrained by substantial interobserver variability and the ...
Alexander Pfeil, Tobias Hoffmann, Ulf Teichgräber, Diane Renz, Denise Beckmann, Gunter Wolf, Nicole Schadewaldt, Bianca Lassen‐Schmidt   +7 more
wiley   +1 more source