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 331–340 of 641 papers

Title	Date	Tasks	Status
Towards Personalized Preprocessing Pipeline Search	Feb 28, 2023	AutoMLClustering	—Unverified
TPAD: Identifying Effective Trajectory Predictions Under the Guidance of Trajectory Anomaly Detection Model	Jan 9, 2022	Anomaly DetectionAutoML	—Unverified
Transferable AutoML by Model Sharing Over Grouped Datasets	Jun 1, 2019	AutoMLBIG-bench Machine Learning	—Unverified
Transfer Learning with Neural AutoML	Mar 7, 2018	AutoMLGeneral Classification	—Unverified
Trust in AutoML: Exploring Information Needs for Establishing Trust in Automated Machine Learning Systems	Jan 17, 2020	AutoMLBIG-bench Machine Learning	—Unverified
United States Road Accident Prediction using Random Forest Predictor	Apr 28, 2025	AutoMLPrediction	—Unverified
A Versatile Graph Learning Approach through LLM-based Agent	Sep 8, 2023	AutoMLGraph Learning	—Unverified
Using Audio Data to Facilitate Depression Risk Assessment in Primary Health Care	Oct 17, 2023	AutoMLDepression Detection	—Unverified
Using Combinatorial Optimization to Design a High quality LLM Solution	May 15, 2024	AutoMLCombinatorial Optimization	—Unverified
Using Known Information to Accelerate HyperParameters Optimization Based on SMBO	Nov 8, 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