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 521–530 of 641 papers

Title	Date	Tasks	Status
Improve Deep Forest with Learnable Layerwise Augmentation Policy Schedule	Sep 16, 2023	AutoMLData Augmentation	CodeCode Available
Improved Training Speed, Accuracy, and Data Utilization Through Loss Function Optimization	May 27, 2019	AutoMLimage-classification	CodeCode Available
AutoML for Multi-Class Anomaly Compensation of Sensor Drift	Feb 26, 2025	AutoMLEnsemble Learning	CodeCode Available
Improvement of Computational Performance of Evolutionary AutoML in a Heterogeneous Environment	Jan 12, 2023	AutoML	CodeCode Available
OptiMindTune: A Multi-Agent Framework for Intelligent Hyperparameter Optimization	May 25, 2025	AutoMLDecision Making	CodeCode Available
ATM: A distributed, collaborative, scalable system for automated machine learning	Dec 11, 2017	AutoMLBIG-bench Machine Learning	CodeCode Available
Improving Neural Networks for Time Series Forecasting using Data Augmentation and AutoML	Mar 2, 2021	AutoMLBIG-bench Machine Learning	CodeCode Available
Improving the sample-efficiency of neural architecture search with reinforcement learning	Oct 13, 2021	AutoMLDeep Learning	CodeCode Available
AutoML: Exploration v.s. Exploitation	Dec 23, 2019	AutoMLMeta-Learning	CodeCode Available
Automatic selection of clustering algorithms using supervised graph embedding	Nov 16, 2020	AutoMLClustering	CodeCode Available

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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