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 411–420 of 641 papers

Title	Date	Tasks	Status
Automated Machine Learning -- a brief review at the end of the early years	Aug 19, 2020	AutoMLBIG-bench Machine Learning	—Unverified
Automated machine learning: AI-driven decision making in business analytics	May 21, 2022	AutoMLBIG-bench Machine Learning	—Unverified
Automated Machine Learning, Bounded Rationality, and Rational Metareasoning	Sep 10, 2021	AutoMLBIG-bench Machine Learning	—Unverified
A Comprehensive Survey on Automated Machine Learning for Recommendations	Apr 4, 2022	AutoMLBIG-bench Machine Learning	—Unverified
Automated Machine Learning for Multi-Label Classification	Feb 28, 2024	AutoMLClassification	—Unverified
Automated Machine Learning for Remaining Useful Life Predictions	Jun 21, 2023	AutoMLManagement	—Unverified
Automated Machine Learning in Practice: State of the Art and Recent Results	Jul 19, 2019	AutoMLBIG-bench Machine Learning	—Unverified
An ADMM Based Framework for AutoML Pipeline Configuration	May 1, 2019	AutoMLBinary Classification	—Unverified
Automated Model Compression by Jointly Applied Pruning and Quantization	Nov 12, 2020	AutoMLModel Compression	—Unverified
Automated Multi-Label Classification based on ML-Plan	Nov 9, 2018	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