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 161–170 of 641 papers

Title	Date	Tasks	Status	Hype
Embedding in Recommender Systems: A Survey	Oct 28, 2023	AutoMLCollaborative Filtering	CodeCode Available	1
Optimal Pricing for Data-Augmented AutoML Marketplaces	Oct 27, 2023	AutoMLFairness	—Unverified	0
ArchBERT: Bi-Modal Understanding of Neural Architectures and Natural Languages	Oct 26, 2023	AutoMLQuestion Answering	—Unverified	0
An Approach for Efficient Neural Architecture Search Space Definition	Oct 25, 2023	AutoMLNeural Architecture Search	—Unverified	0
Network-Aware AutoML Framework for Software-Defined Sensor Networks	Oct 19, 2023	AutoML	—Unverified	0
Using Audio Data to Facilitate Depression Risk Assessment in Primary Health Care	Oct 17, 2023	AutoMLDepression Detection	—Unverified	0
ASP: Automatic Selection of Proxy dataset for efficient AutoML	Oct 17, 2023	AutoMLNeural Architecture Search	—Unverified	0
Auto-survey Challenge	Oct 6, 2023	ArticlesAutoML	—Unverified	0
Bringing Quantum Algorithms to Automated Machine Learning: A Systematic Review of AutoML Frameworks Regarding Extensibility for QML Algorithms	Oct 6, 2023	AutoMLBenchmarking	—Unverified	0
Auto-FP: An Experimental Study of Automated Feature Preprocessing for Tabular Data	Oct 4, 2023	AutoMLHyperparameter Optimization	CodeCode Available	0

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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