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 211–220 of 641 papers

Title	Date	Tasks	Status	Hype
Benchmarking Automated Machine Learning Methods for Price Forecasting Applications	Apr 28, 2023	AutoMLBenchmarking	—Unverified	0
MLCopilot: Unleashing the Power of Large Language Models in Solving Machine Learning Tasks	Apr 28, 2023	AutoMLCode Generation	CodeCode Available	1
Deep Fast Vision: Accelerated Deep Transfer Learning Vision Prototyping and Beyond	Apr 26, 2023	AutoMLImage Classification	CodeCode Available	1
Constructing a meta-learner for unsupervised anomaly detection	Apr 22, 2023	Anomaly DetectionAutoML	—Unverified	0
Complex Mixer for MedMNIST Classification Decathlon	Apr 20, 2023	AutoMLClassification	—Unverified	0
eTOP: Early Termination of Pipelines for Faster Training of AutoML Systems	Apr 17, 2023	AutoMLFeature Engineering	—Unverified	0
Optimizing Neural Networks through Activation Function Discovery and Automatic Weight Initialization	Apr 6, 2023	AutoML	CodeCode Available	1
AutoRL Hyperparameter Landscapes	Apr 5, 2023	AutoMLHyperparameter Optimization	CodeCode Available	0
Classification of integers based on residue classes via modern deep learning algorithms	Apr 3, 2023	AutoMLFeature Engineering	CodeCode Available	0
Multi-Microgrid Collaborative Optimization Scheduling Using an Improved Multi-Agent Soft Actor-Critic Algorithm	Apr 1, 2023	AutoMLDeep Reinforcement 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