AutoML

Automated Machine Learning (AutoML) is a general concept which covers diverse techniques for automated model learning including automatic data preprocessing, architecture search, and model selection. Source: Evaluating recommender systems for AI-driven data science (1905.09205)

Source: CHOPT : Automated Hyperparameter Optimization Framework for Cloud-Based Machine Learning Platforms

Papers

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 501–510 of 641 papers

Title	Date	Tasks	Status
Demo Application for the AutoGOAL Framework	Dec 1, 2020	AutoMLBIG-bench Machine Learning	—Unverified
Democratize with Care: The need for fairness specific features in user-interface based open source AutoML tools	Dec 16, 2023	AutoMLFairness	—Unverified
Designing Machine Learning Pipeline Toolkit for AutoML Surrogate Modeling Optimization	Jul 2, 2021	AutoMLBIG-bench Machine Learning	—Unverified
DHA: End-to-End Joint Optimization of Data Augmentation Policy, Hyper-parameter and Architecture	Sep 13, 2021	AutoMLData Augmentation	—Unverified
Diagnosis of sickle cell anemia using AutoML on UV-Vis absorbance spectroscopy data	Nov 24, 2021	AutoMLDiagnostic	—Unverified
DiffAutoML: Differentiable Joint Optimization for Efficient End-to-End Automated Machine Learning	Jan 1, 2021	AutoMLBIG-bench Machine Learning	—Unverified
DiffraNet: Automatic Classification of Serial Crystallography Diffraction Patterns	Sep 27, 2018	AutoMLClassification	—Unverified
Discovering Adaptable Symbolic Algorithms from Scratch	Jul 31, 2023	AutoML	—Unverified
DIVA: Dataset Derivative of a Learning Task	Nov 18, 2021	AutoML	—Unverified
DivBO: Diversity-aware CASH for Ensemble Learning	Feb 7, 2023	AutoMLBayesian Optimization	—Unverified

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All datasets Chalearn-AutoML-1 Breast Cancer Coimbra Data Set OrdinalDataset Wine

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	marc.boulle	Rank (AutoML5)	6.4	—	Unverified
2	reference_mb	Rank (AutoML5)	5.2	—	Unverified
3	postech.mlg_exbrain	Rank (AutoML5)	5.2	—	Unverified
4	abhishek4	Rank (AutoML5)	4.6	—	Unverified
5	reference	Rank (AutoML5)	4.4	—	Unverified
6	reference_ls	Rank (AutoML5)	4	—	Unverified
7	djajetic	Rank (AutoML5)	3	—	Unverified
8	aad_freiburg	Rank (AutoML5)	1.6	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Logistic Regression	Accuracy	97.02	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Zero-shot-BERT-SORT	1:1 Accuracy	55	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Logistic Regression	accuracy	98.33	—	Unverified