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 531–540 of 641 papers

Title	Date	Tasks	Status
Practical and sample efficient zero-shot HPO	Jul 27, 2020	AutoMLHyperparameter Optimization	—Unverified
AutoRec: An Automated Recommender System	Jun 26, 2020	AutoMLClick-Through Rate Prediction	CodeCode Available
Memory-efficient Embedding for Recommendations	Jun 26, 2020	AutoMLRecommendation Systems	—Unverified
Fast, Accurate, and Simple Models for Tabular Data via Augmented Distillation	Jun 25, 2020	AutoMLData Augmentation	—Unverified
AutoCP: Automated Pipelines for Accurate Prediction Intervals	Jun 24, 2020	AutoMLBIG-bench Machine Learning	—Unverified
Reusing Trained Layers of Convolutional Neural Networks to Shorten Hyperparameters Tuning Time	Jun 16, 2020	AutoML	—Unverified
Adaptation Strategies for Automated Machine Learning on Evolving Data	Jun 9, 2020	AutoMLBayesian Optimization	CodeCode Available
AutoHAS: Efficient Hyperparameter and Architecture Search	Jun 5, 2020	AutoMLHyperparameter Optimization	—Unverified
A Robust Experimental Evaluation of Automated Multi-Label Classification Methods	May 16, 2020	AutoMLBayesian Optimization	CodeCode Available
A New Deep Neural Architecture Search Pipeline for Face Recognition	May 12, 2020	AutoMLFace Recognition	—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