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Keyword

Hyperband

Description: Hyperband is a resource-allocation algorithm for hyperparameter optimization that uses successive halving to efficiently compare machine-learning configurations.
OpenAlex ID: keywords/hyperband
Hyperparameter optimization: Foundations, algorithms, best practices, and open challenges
2023 · Bernd Bischl, Martin Binder, et al. · Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery · 946
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BOHB: Robust and Efficient Hyperparameter Optimization at Scale
2018 · Falkner, Stefan, Klein, Aaron, et al. · arXiv (Cornell University) · 530
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Advanced hyperparameter optimization for improved spatial prediction of shallow landslides using extreme gradient boosting (XGBoost)
2022 · Taskin Kavzoglu, Alihan Teke · Bulletin of Engineering Geology and the Environment · 182
DeepHyper: Asynchronous Hyperparameter Search for Deep Neural Networks
2018 · Prasanna Balaprakash, Michael Salim, et al. · IEEE International Conference on High Performance Computing (HiPC) · 134
Towards Automated Deep Learning: Efficient Joint Neural Architecture and Hyperparameter Search
2018 · Zela, Arber, Klein, Aaron, et al. · arXiv (Cornell University) · 134
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Efficient Hyperparameter Optimization and Infinitely Many Armed Bandits
2017 · Afshin Rostamizadeh, Ameet Talwalkar, et al. · arXiv (Cornell University) · 127
An Effective Heart Disease Detection and Severity Level Classification Model Using Machine Learning and Hyperparameter Optimization Methods
2022 · Abdallah Abdellatif, Hamdan Abdellatef, et al. · IEEE Access · 108
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Hyperband: Bandit-Based Configuration Evaluation for Hyperparameter Optimization
2017 · Lisha Li, Kevin Jamieson, et al. · International Conference on Learning Representations · 89
Multi-output 1-dimensional convolutional neural networks for simultaneous prediction of different traits of fruit based on near-infrared spectroscopy
2021 · Puneet Mishra, Dário Passos · Postharvest Biology and Technology · 81
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Early and robust remaining useful life prediction of supercapacitors using BOHB optimized Deep Belief Network
2021 · Muhammad Haris, Muhammad Noman Hasan, et al. · Applied Energy · 78
Techno-economic analysis for design and management of international green hydrogen supply chain under uncertainty: An integrated temporal planning approach
2023 · Sunwoo Kim, Joungho Park, et al. · Energy Conversion and Management · 74
A hybrid day-ahead electricity price forecasting framework based on time series
2022 · Xiaoping Xiong, Guohua Qing · Energy · 73
Towards Automatically-Tuned Deep Neural Networks
2019 · Hector Mendoza, Aaron Klein, et al. · ˜The œSpringer series on challenges in machine learning · 62
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Imbalanced Industrial Load Identification Based on Optimized CatBoost with Entropy Features
2024 · Lin Lin, Xueli Ma, et al. · Journal of Electrical Engineering and Technology · 61
Combination of Hyperband and Bayesian Optimization for Hyperparameter Optimization in Deep Learning
2018 · Wang, Jiazhuo, Xu, Jason, et al. · arXiv (Cornell University) · 61
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Neural Architecture Search for 1D CNNs—Different Approaches Tests and Measurements
2021 · João Rala Cordeiro, António Raimundo, et al. · Sensors · 56
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DEHB: Evolutionary Hyberband for Scalable, Robust and Efficient Hyperparameter Optimization
2021 · Noor Awad, Neeratyoy Mallik, et al. · 54
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Enhancing Land Cover/Land Use (LCLU) classification through a comparative analysis of hyperparameters optimization approaches for deep neural network (DNN)
2023 · Ali Azedou, Aouatif Amine, et al. · Ecological Informatics · 53
An automated deep learning pipeline based on advanced optimisations for leveraging spectral classification modelling
2021 · Dário Passos, Puneet Mishra · Chemometrics and Intelligent Laboratory Systems · 52
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Landslide susceptibility mapping (LSM) based on different boosting and hyperparameter optimization algorithms: A case of Wanzhou District, China
2024 · Deliang Sun, Jing Wang, et al. · Journal of Rock Mechanics and Geotechnical Engineering · 51
Hyperparameter Optimization: Foundations, Algorithms, Best Practices and Open Challenges
2021 · Bischl, Bernd, Binder, Martin, et al. · arXiv (Cornell University) · 46
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Detecting COVID-19 from Breathing and Coughing Sounds using Deep Neural Networks
2021 · Mina A. Nessiem, Mostafa M. Mohamed, et al. · IEEE International Symposium on Computer-Based Medical Systems (CBMS) · 45
A Comparative Study of Hyperparameter Optimization Techniques for Deep Learning
2022 · Anjir Ahmed Chowdhury, Argho Das, et al. · Algorithms for intelligent systems · 41
Convolutional neural network hyperparameter optimization applied to land cover classification
2022 · Vladyslav Yaloveha, Andrii Podorozhniak, et al. · RADIOELECTRONIC AND COMPUTER SYSTEMS · 40
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Hyperparameter Optimization for COVID-19 Pneumonia Diagnosis Based on Chest CT
2021 · Paulo Lacerda, Bruno Barros, et al. · Sensors · 39
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Works count: 374
Citation count: 4,441
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