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 361–370 of 641 papers

Title	Date	Tasks	Status
A Framework for the Automated Parameterization of a Sensorless Bearing Fault Detection Pipeline	Mar 15, 2023	AutoMLFault Detection	—Unverified
AgEBO-Tabular: Joint Neural Architecture and Hyperparameter Search with Autotuned Data-Parallel Training for Tabular Data	Oct 30, 2020	AutoMLBayesian Optimization	—Unverified
A General Recipe for Automated Machine Learning in Practice	Aug 29, 2023	AutoML	—Unverified
AI-based Classification of Customer Support Tickets: State of the Art and Implementation with AutoML	Jun 3, 2024	AutoML	—Unverified
AutoML to Date and Beyond: Challenges and Opportunities	Oct 21, 2020	AutoMLBIG-bench Machine Learning	—Unverified
AlphaD3M: Machine Learning Pipeline Synthesis	Nov 3, 2021	AutoMLBIG-bench Machine Learning	—Unverified
Amazon SageMaker Autopilot: a white box AutoML solution at scale	Dec 15, 2020	AutoMLMeta-Learning	—Unverified
Crop and weed classification based on AutoML	Oct 28, 2020	AutoMLClassification	—Unverified
AMLA: an AutoML frAmework for Neural Network Design	Jan 1, 2018	AutoMLHyperparameter Optimization	—Unverified
A multi-objective perspective on jointly tuning hardware and hyperparameters	Jun 10, 2021	AutoMLTransfer Learning	—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