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 581–590 of 641 papers

Title	Date	Tasks	Status
AutoM3L: An Automated Multimodal Machine Learning Framework with Large Language Models	Aug 1, 2024	AutoMLCode Generation	CodeCode Available
Transfer Learning for Risk Classification of Social Media Posts: Model Evaluation Study	Jul 4, 2019	AutoMLBIG-bench Machine Learning	CodeCode Available
Meta-learning of textual representations	Jun 21, 2019	AutoMLMeta-Learning	CodeCode Available
Adaptation Strategies for Automated Machine Learning on Evolving Data	Jun 9, 2020	AutoMLBayesian Optimization	CodeCode Available
X Hacking: The Threat of Misguided AutoML	Jan 16, 2024	AutoMLInterpretable Machine Learning	CodeCode Available
Efficient and Joint Hyperparameter and Architecture Search for Collaborative Filtering	Jul 12, 2023	AutoMLCollaborative Filtering	CodeCode Available
Do We Really Need Imputation in AutoML Predictive Modeling?	Apr 12, 2024	Automatic Machine Learning Model SelectionAutoML	CodeCode Available
DiffPrep: Differentiable Data Preprocessing Pipeline Search for Learning over Tabular Data	Aug 20, 2023	AutoML	CodeCode Available
Hardware Aware Ensemble Selection for Balancing Predictive Accuracy and Cost	Aug 5, 2024	AutoMLDiversity	CodeCode Available
DeepFreak: Learning Crystallography Diffraction Patterns with Automated Machine Learning	Apr 26, 2019	AutoMLBIG-bench Machine Learning	CodeCode Available

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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