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 71–80 of 641 papers

Title	Date	Tasks	Status	Hype
OutRank: Speeding up AutoML-based Model Search for Large Sparse Data sets with Cardinality-aware Feature Ranking	Sep 4, 2023	Anomaly DetectionAutoML	CodeCode Available	1
PFNs4BO: In-Context Learning for Bayesian Optimization	May 27, 2023	AutoMLBayesian Optimization	CodeCode Available	1
Deep Pipeline Embeddings for AutoML	May 23, 2023	Automatic Machine Learning Model SelectionAutoML	CodeCode Available	1
XTab: Cross-table Pretraining for Tabular Transformers	May 10, 2023	AutoMLFederated Learning	CodeCode Available	1
Large Language Models for Automated Data Science: Introducing CAAFE for Context-Aware Automated Feature Engineering	May 5, 2023	Automated Feature EngineeringAutoML	CodeCode Available	1
EA-HAS-Bench:Energy-Aware Hyperparameter and Architecture Search Benchmark	May 1, 2023	AutoML	CodeCode Available	1
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
Optimizing Neural Networks through Activation Function Discovery and Automatic Weight Initialization	Apr 6, 2023	AutoML	CodeCode Available	1
KGLiDS: A Platform for Semantic Abstraction, Linking, and Automation of Data Science	Mar 3, 2023	AutoMLKnowledge Graphs	CodeCode Available	1

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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