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 461–470 of 641 papers

Title	Date	Tasks	Status
TC-SKNet with GridMask for Low-complexity Classification of Acoustic scene	Oct 5, 2022	AutoMLData Augmentation	—Unverified
Techniques for Automated Machine Learning	Jul 21, 2019	Automated Feature EngineeringAutoML	—Unverified
Testing the Robustness of AutoML Systems	May 6, 2020	AutoMLBIG-bench Machine Learning	—Unverified
Neural Architectural Backdoors	Oct 21, 2022	AutoMLNeural Architecture Search	—Unverified
The Potential of AutoML for Recommender Systems	Feb 6, 2024	AutoMLMachine Translation	—Unverified
The Power of Proxy Data and Proxy Networks for Hyper-Parameter Optimization in Medical Image Segmentation	Jul 12, 2021	AutoMLImage Segmentation	—Unverified
The Roles and Modes of Human Interactions with Automated Machine Learning Systems	May 9, 2022	AutoMLBIG-bench Machine Learning	—Unverified
The Technological Emergence of AutoML: A Survey of Performant Software and Applications in the Context of Industry	Nov 8, 2022	AutoML	—Unverified
Tightening the Approximation Error of Adversarial Risk with Auto Loss Function Search	Nov 9, 2021	Adversarial RobustnessAutoML	—Unverified
Towards Automated Machine Learning: Evaluation and Comparison of AutoML Approaches and Tools	Aug 15, 2019	AutoMLBIG-bench Machine Learning	—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