Showing 1–20 of 75 results
/ Date/ Name
Nov 2, 2021From Strings to Data Science: a Practical Framework for Automated String HandlingJun 10, 2021Meta-Learning for Symbolic Hyperparameter DefaultsJan 12, 2021A comparison of optimisation algorithms for high-dimensional particle and astrophysics applicationsJan 24, 2022Online AutoML: An adaptive AutoML framework for online learningJul 1, 2019An Open Source AutoML BenchmarkSep 4, 2023Locality-Aware Hyperspectral ClassificationJan 18, 2018Layered TPOT: Speeding up Tree-based Pipeline OptimizationJul 23, 2024HyTAS: A Hyperspectral Image Transformer Architecture Search Benchmark and AnalysisJun 8, 2015ASlib: A Benchmark Library for Algorithm SelectionJul 14, 2018ML-Schema: Exposing the Semantics of Machine Learning with Schemas and OntologiesOct 8, 2018Meta-Learning: A SurveyJul 29, 2014OpenML: networked science in machine learningJul 10, 2023Advances and Challenges in Meta-Learning: A Technical ReviewMay 12, 2022Warm-starting DARTS using meta-learningJan 5, 2017OpenML: An R Package to Connect to the Machine Learning Platform OpenMLDec 3, 2020Aerial Imagery Pixel-level SegmentationAug 28, 2023Continual Learning with Dynamic Sparse Training: Exploring Algorithms for Effective Model UpdatesNov 5, 2021Frugal Machine LearningSep 12, 2017Meta-QSAR: a large-scale application of meta-learning to drug design and discoveryJul 7, 2023MALIBO: Meta-learning for Likelihood-free Bayesian Optimization