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 611–620 of 641 papers

Title	Date	Tasks	Status
ATMSeer: Increasing Transparency and Controllability in Automated Machine Learning	Feb 13, 2019	AutoMLBIG-bench Machine Learning	CodeCode Available
Semantic Classification of Tabular Datasets via Character-Level Convolutional Neural Networks	Jan 24, 2019	AutoMLClassification	CodeCode Available
Katib: A Distributed General AutoML Platform on Kubernetes	Jan 1, 2019	AutoMLHyperparameter Optimization	—Unverified
DarwinML: A Graph-based Evolutionary Algorithm for Automated Machine Learning	Nov 20, 2018	AutoMLBIG-bench Machine Learning	—Unverified
A Very Brief and Critical Discussion on AutoML	Nov 9, 2018	AutoML	—Unverified
Automated Multi-Label Classification based on ML-Plan	Nov 9, 2018	AutoMLBIG-bench Machine Learning	—Unverified
Using Known Information to Accelerate HyperParameters Optimization Based on SMBO	Nov 8, 2018	AutoMLBIG-bench Machine Learning	—Unverified
Auto-ML Deep Learning for Rashi Scripts OCR	Nov 3, 2018	AutoMLDeep Learning	—Unverified
Automated Machine Learning: From Principles to Practices	Oct 31, 2018	AutoMLBIG-bench Machine Learning	CodeCode Available
A User-based Visual Analytics Workflow for Exploratory Model Analysis	Sep 27, 2018	AutoMLModel Selection	—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