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 391–400 of 641 papers

Title	Date	Tasks	Status
Meta Navigator: Search for a Good Adaptation Policy for Few-shot Learning	Sep 13, 2021	AutoMLFew-Shot Learning	—Unverified
Mining Robust Default Configurations for Resource-constrained AutoML	Feb 20, 2022	AutoMLBIG-bench Machine Learning	—Unverified
MLOps -- Definitions, Tools and Challenges	Jan 1, 2022	AutoMLBIG-bench Machine Learning	—Unverified
Model Evaluation for Domain Identification of Unknown Classes in Open-World Recognition: A Proposal	Dec 9, 2023	AutoMLTransfer Learning	—Unverified
Model-free feature selection to facilitate automatic discovery of divergent subgroups in tabular data	Mar 8, 2022	AutoMLfeature selection	—Unverified
Modeling All Response Surfaces in One for Conditional Search Spaces	Jan 8, 2025	AllAutoML	—Unverified
Model LineUpper: Supporting Interactive Model Comparison at Multiple Levels for AutoML	Apr 9, 2021	AutoMLExplainable Artificial Intelligence (XAI)	—Unverified
MONCAE: Multi-Objective Neuroevolution of Convolutional Autoencoders	Jun 7, 2021	AutoMLimage-classification	—Unverified
Multi-Agent Automated Machine Learning	Oct 17, 2022	AutoMLData Augmentation	—Unverified
Multi-Microgrid Collaborative Optimization Scheduling Using an Improved Multi-Agent Soft Actor-Critic Algorithm	Apr 1, 2023	AutoMLDeep Reinforcement 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