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 541–550 of 641 papers

Title	Date	Tasks	Status
Automated Machine Learning: State-of-The-Art and Open Challenges	Jun 5, 2019	AutoMLBIG-bench Machine Learning	CodeCode Available
Large Language Model-Enhanced Algorithm Selection: Towards Comprehensive Algorithm Representation	Nov 22, 2023	AutoMLfeature selection	CodeCode Available
An Empirical Study on the Usage of Automated Machine Learning Tools	Aug 28, 2022	AutoMLFeature Engineering	CodeCode Available
A Scalable AutoML Approach Based on Graph Neural Networks	Oct 29, 2021	AutoMLGraph Generation	CodeCode Available
Predicting delays in Indian lower courts using AutoML and Decision Forests	Jul 30, 2023	AutoMLMulti-class Classification	CodeCode Available
Pricing European Options with Google AutoML, TensorFlow, and XGBoost	Jul 2, 2023	AutoMLCloud Computing	CodeCode Available
Principled Architecture-aware Scaling of Hyperparameters	Feb 27, 2024	AutoML	CodeCode Available
Flow-of-Options: Diversified and Improved LLM Reasoning by Thinking Through Options	Feb 18, 2025	AutoMLDiversity	CodeCode Available
Large Language Models for Constructing and Optimizing Machine Learning Workflows: A Survey	Nov 11, 2024	AutoMLFeature Engineering	CodeCode Available
Large Language Models Synergize with Automated Machine Learning	May 6, 2024	AutoMLCode Generation	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