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 291–300 of 641 papers

Title	Date	Tasks	Status	Hype
Concurrent Neural Tree and Data Preprocessing AutoML for Image Classification	May 25, 2022	AutoMLBIG-bench Machine Learning	—Unverified	0
MOSPAT: AutoML based Model Selection and Parameter Tuning for Time Series Anomaly Detection	May 24, 2022	Anomaly DetectionAutoML	CodeCode Available	5
Automated machine learning: AI-driven decision making in business analytics	May 21, 2022	AutoMLBIG-bench Machine Learning	—Unverified	0
A Scalable Workflow to Build Machine Learning Classifiers with Clinician-in-the-Loop to Identify Patients in Specific Diseases	May 18, 2022	AutoMLSpecificity	—Unverified	0
Warm-starting DARTS using meta-learning	May 12, 2022	AutoMLMeta-Learning	—Unverified	0
Bi-level Alignment for Cross-Domain Crowd Counting	May 12, 2022	AutoMLCrowd Counting	CodeCode Available	1
Deep Architecture Connectivity Matters for Its Convergence: A Fine-Grained Analysis	May 11, 2022	AutoMLNeural Architecture Search	CodeCode Available	0
Efficient Automated Deep Learning for Time Series Forecasting	May 11, 2022	AutoMLBayesian Optimization	CodeCode Available	4
Serving and Optimizing Machine Learning Workflows on Heterogeneous Infrastructures	May 10, 2022	AutoMLBIG-bench Machine Learning	—Unverified	0
The Roles and Modes of Human Interactions with Automated Machine Learning Systems	May 9, 2022	AutoMLBIG-bench Machine Learning	—Unverified	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