Results 231 to 240 of about 62,767 (259)
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HELP: An LSTM-based approach to hyperparameter exploration in neural network learning
Neurocomputing, 2021Marcello Pelillo, Wing W Y Ng
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Proceedings of the Companion Conference on Genetic and Evolutionary Computation, 2023
Amit Dilip Kini +5 more
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Amit Dilip Kini +5 more
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A Population-Based Hybrid Approach for Hyperparameter Optimization of Neural Networks
IEEE Access, 2023Israel Mendonça Dos Santos +2 more
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Hyperparameter optimization: Foundations, algorithms, best practices, and open challenges
Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, 2023Bernd Bischl +2 more
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Reproducible Hyperparameter Optimization
Journal of Computational and Graphical Statistics, 2022Pierre Baldi, Daniel Gillen
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Sherpa: Robust hyperparameter optimization for machine learning
SoftwareX, 2020Julian Collado Umana +2 more
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SLURM-Managed HyperParameter Optimization.
Hyperparameter optimization (HPO) is essential for achieving state-of-the-art performance in machine learning, yet it is computationally demanding, particularly on shared or resource-constrained clusters. We present a system that integrates the Asynchronous Successive Halving Algorithm (ASHA) with SEML, the SLURM Experiment Management Library - an ...Chattopadhyay, Anusha +3 more
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