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 171–180 of 641 papers

Title	Date	Tasks	Status	Score
A-DARTS: Stable Model Selection for Data Repair in Time Series	May 1, 2025	AutoMLImputation	CodeCode Available	5
Improving Neural Networks for Time Series Forecasting using Data Augmentation and AutoML	Mar 2, 2021	AutoMLBIG-bench Machine Learning	CodeCode Available	5
Improve Deep Forest with Learnable Layerwise Augmentation Policy Schedule	Sep 16, 2023	AutoMLData Augmentation	CodeCode Available	5
AMDet: A Tool for Mitotic Cell Detection in Histopathology Slides	Aug 8, 2021	AutoMLCell Detection	CodeCode Available	5
Improved Training Speed, Accuracy, and Data Utilization Through Loss Function Optimization	May 27, 2019	AutoMLimage-classification	CodeCode Available	5
Improving the sample-efficiency of neural architecture search with reinforcement learning	Oct 13, 2021	AutoMLDeep Learning	CodeCode Available	5
Imbalanced-learn: A Python Toolbox to Tackle the Curse of Imbalanced Datasets in Machine Learning	Sep 21, 2016	AutoMLBIG-bench Machine Learning	CodeCode Available	5
Automated Machine Learning: State-of-The-Art and Open Challenges	Jun 5, 2019	AutoMLBIG-bench Machine Learning	CodeCode Available	5
Imbalanced Regression Pipeline Recommendation	Jul 16, 2025	AutoMLMeta-Learning	CodeCode Available	5
AdaptoML-UX: An Adaptive User-centered GUI-based AutoML Toolkit for Non-AI Experts and HCI Researchers	Oct 22, 2024	Automated Feature EngineeringAutoML	CodeCode Available	5

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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