Results 81 to 90 of about 75,461 (296)
Neural Architecture Search in Graph Neural Networks [PDF]
, 2020 Performing analytical tasks over graph data has become increasingly interesting due to the ubiquity and large availability of relational information. However, unlike images or sentences, there is no notion of sequence in networks. Nodes (and edges) follow no absolute order, and it is hard for traditional machine learning (ML) algorithms to recognize a ...
Matheus Nunes, Gisele L. Pappa
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Arthritis Care &Research, EarlyView.Systemic sclerosis (SSc) is a rare autoimmune disease defined by immune dysregulation, vasculopathy, and progressive fibrosis of the skin and internal organs. Despite advances in care, major complications such as interstitial lung disease (ILD) and myocardial involvement remain the leading causes of morbidity and mortality.
Cristiana Sieiro Santos +2 more
wiley +1 more source
Evaluating the Search Phase of Neural Architecture Search
CoRR, 2019 We find that random policy in NAS works amazingly well and propose an evaluation framework to have a fair comparison. Adding additional results on standard CNN search space used for weight sharing and NASBench-101.
Kaicheng Yu +4 more
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Carbon-Efficient Neural Architecture Search
Proceedings of the 2nd Workshop on Sustainable Computer Systems, 2023 This work presents a novel approach to neural architecture search (NAS) that aims to reduce energy costs and increase carbon efficiency during the model design process. The proposed framework, called carbon-efficient NAS (CE-NAS), consists of NAS evaluation algorithms with different energy requirements, a multi-objective optimizer, and a heuristic GPU ...
Yiyang Zhao, Tian Guo 0001
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Advanced Engineering Materials, EarlyView.A numerical–experimental framework is developed for characterizing multi‐matrix fiber‐reinforced polymers (MM‐FRPs) combining epoxy and polyurethane matrices. Harmonic bending tests are integrated with finite element model updating (FEMU) to simultaneously identify elastic and viscoelastic material parameters.
Rodrigo M. Dartora +4 more
wiley +1 more source
Multi-objective Neural Architecture Search
, 2023 Multi-objective Neural Architecture Search Bc. Ren'ata Pivodov'a Abstract Neural architecture search is a promising approach to automatic neural net- work architecture design, which can save a designer's work.
Pivodová, Renáta
core
Towards Privacy-Preserving Neural Architecture Search
, 2022 Machine learning promotes the continuous development of signal processing in various fields, including network traffic monitoring, EEG classification, face identification, and many more.
Pan, L +4 more
core +1 more source
Pareto-optimal progressive neural architecture search [PDF]
, 2021 Neural Architecture Search (NAS) is the process of automating architecture engineering, searching for the best deep learning configuration. One of the main NAS approaches proposed in the literature, Progressive Neural Architecture Search (PNAS), seeks ...
Eugenio Lomurno +7 more
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Inner Loop-Based Modified Differentiable Architecture Search
IEEE AccessDifferentiable neural architecture search, which significantly reduces the computational cost of architecture search by several orders of magnitude, has become a popular research issue in recent years.
Cong Jin, Jinjie Huang
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Machine Learning‐Assisted Inverse Design of Soft and Multifunctional Hybrid Liquid Metal Composites
Advanced Functional Materials, EarlyView.A machine learning framework is presented for inverse design of synthesizable multifunctional composites containing both liquid metal and solid inclusions. By integrating physics‐based modeling, data‐driven prediction, and Bayesian optimization, the approach enables intelligent design of experiments to identify optimal compositions and realize these ...
Lijun Zhou +5 more
wiley +1 more source