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 411–420 of 641 papers

Title	Date	Tasks	Status
Winning solutions and post-challenge analyses of the ChaLearn AutoDL challenge 2019	Jan 11, 2022	AutoMLManagement	—Unverified
Automated Reinforcement Learning (AutoRL): A Survey and Open Problems	Jan 11, 2022	AutoMLMeta-Learning	—Unverified
TPAD: Identifying Effective Trajectory Predictions Under the Guidance of Trajectory Anomaly Detection Model	Jan 9, 2022	Anomaly DetectionAutoML	—Unverified
Neural Architecture Search for Inversion	Jan 5, 2022	AutoMLNeural Architecture Search	—Unverified
AutoDES: AutoML Pipeline Generation of Classification with Dynamic Ensemble Strategy Selection	Jan 1, 2022	AutoMLBIG-bench Machine Learning	—Unverified
MLOps -- Definitions, Tools and Challenges	Jan 1, 2022	AutoMLBIG-bench Machine Learning	—Unverified
Evaluating Generic Auto-ML Tools for Computational Pathology	Dec 7, 2021	AutoMLClassification	—Unverified
Manas: Mining Software Repositories to Assist AutoML	Dec 6, 2021	AutoMLGPU	CodeCode Available
Pipeline Combinators for Gradual AutoML	Dec 1, 2021	AutoMLBIG-bench Machine Learning	—Unverified
Fast and Informative Model Selection using Learning Curve Cross-Validation	Nov 27, 2021	AutoMLModel Selection	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