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 321–330 of 641 papers

Title	Date	Tasks	Status
Automated Machine Learning for Remaining Useful Life Predictions	Jun 21, 2023	AutoMLManagement	—Unverified
MA-BBOB: Many-Affine Combinations of BBOB Functions for Evaluating AutoML Approaches in Noiseless Numerical Black-Box Optimization Contexts	Jun 18, 2023	AutoMLBenchmarking	—Unverified
Fix Fairness, Don't Ruin Accuracy: Performance Aware Fairness Repair using AutoML	Jun 15, 2023	AutoMLDecision Making	CodeCode Available
AutoML in the Age of Large Language Models: Current Challenges, Future Opportunities and Risks	Jun 13, 2023	AutoML	—Unverified
Semantic-Based Neural Network Repair	Jun 12, 2023	AutoMLvalid	—Unverified
AutoML Systems For Medical Imaging	Jun 7, 2023	AutoMLDiagnostic	—Unverified
Hyperparameters in Reinforcement Learning and How To Tune Them	Jun 2, 2023	AutoMLDeep Reinforcement Learning	—Unverified
ChatGPT as your Personal Data Scientist	May 23, 2023	AutoMLData Visualization	—Unverified
Learning Activation Functions for Sparse Neural Networks	May 18, 2023	AutoMLHyperparameter Optimization	CodeCode Available
High-throughput Cotton Phenotyping Big Data Pipeline Lambda Architecture Computer Vision Deep Neural Networks	May 9, 2023	AutoMLCloud Computing	—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