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 471–480 of 641 papers

Title	Date	Tasks	Status	Hype
Data Readiness Report	Oct 14, 2020	AutoMLManagement	—Unverified	0
Revisiting Neural Architecture Search	Oct 12, 2020	AutoMLNeural Architecture Search	—Unverified	0
Smooth Variational Graph Embeddings for Efficient Neural Architecture Search	Oct 9, 2020	AutoMLBayesian Optimization	CodeCode Available	1
Cardea: An Open Automated Machine Learning Framework for Electronic Health Records	Oct 1, 2020	Automated Feature EngineeringAutoML	CodeCode Available	1
Automating Outlier Detection via Meta-Learning	Sep 22, 2020	Anomaly DetectionAutoML	CodeCode Available	1
Evolutionary Architecture Search for Graph Neural Networks	Sep 21, 2020	AutoMLNeural Architecture Search	CodeCode Available	0
Automatic deep learning for trend prediction in time series data	Sep 17, 2020	AutoMLDeep Learning	—Unverified	0
An Extensive Experimental Evaluation of Automated Machine Learning Methods for Recommending Classification Algorithms (Extended Version)	Sep 16, 2020	AutoMLBIG-bench Machine Learning	—Unverified	0
AutoML for Multilayer Perceptron and FPGA Co-design	Sep 14, 2020	AutoMLGPU	—Unverified	0
Hyperparameter Optimization via Sequential Uniform Designs	Sep 8, 2020	AutoMLglobal-optimization	CodeCode Available	1

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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