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 341–350 of 641 papers

Title	Date	Tasks	Status	Hype
T-AutoML: Automated Machine Learning for Lesion Segmentation using Transformers in 3D Medical Imaging	Nov 15, 2021	AutoMLData Augmentation	—Unverified	0
FairAutoML: Embracing Unfairness Mitigation in AutoML	Nov 11, 2021	AutoMLBIG-bench Machine Learning	—Unverified	0
Towards Green Automated Machine Learning: Status Quo and Future Directions	Nov 10, 2021	AutoMLBIG-bench Machine Learning	—Unverified	0
Tightening the Approximation Error of Adversarial Risk with Auto Loss Function Search	Nov 9, 2021	Adversarial RobustnessAutoML	—Unverified	0
NAS-Bench-x11 and the Power of Learning Curves	Nov 5, 2021	AutoMLNeural Architecture Search	CodeCode Available	1
Benchmarking Multimodal AutoML for Tabular Data with Text Fields	Nov 4, 2021	AutoMLBenchmarking	CodeCode Available	3
AlphaD3M: Machine Learning Pipeline Synthesis	Nov 3, 2021	AutoMLBIG-bench Machine Learning	—Unverified	0
A Scalable AutoML Approach Based on Graph Neural Networks	Oct 29, 2021	AutoMLGraph Generation	CodeCode Available	0
MedMNIST v2 -- A large-scale lightweight benchmark for 2D and 3D biomedical image classification	Oct 27, 2021	AutoMLimage-classification	CodeCode Available	2
On Predictive Explanation of Data Anomalies	Oct 18, 2021	AutoMLFeature Importance	—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