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 261–270 of 641 papers

Title	Date	Tasks	Status	Score
Evolution of Scikit-Learn Pipelines with Dynamic Structured Grammatical Evolution	Apr 1, 2020	AutoMLBIG-bench Machine Learning	CodeCode Available	5
Fix Fairness, Don't Ruin Accuracy: Performance Aware Fairness Repair using AutoML	Jun 15, 2023	AutoMLDecision Making	CodeCode Available	5
AutoML: Exploration v.s. Exploitation	Dec 23, 2019	AutoMLMeta-Learning	CodeCode Available	5
ATM: A distributed, collaborative, scalable system for automated machine learning	Dec 11, 2017	AutoMLBIG-bench Machine Learning	CodeCode Available	5
Estimating optical vegetation indices and biophysical variables for temperate forests with Sentinel-1 SAR data using machine learning techniques: A case study for Czechia	Nov 13, 2023	AutoMLTime Series	CodeCode Available	5
AM-LFS: AutoML for Loss Function Search	May 17, 2019	AutoML	CodeCode Available	5
Encoding high-cardinality string categorical variables	Jul 3, 2019	AutoMLFeature Engineering	CodeCode Available	5
Evaluation of a Tree-based Pipeline Optimization Tool for Automating Data Science	Mar 20, 2016	Automated Feature EngineeringAutoML	CodeCode Available	5
Assembled-OpenML: Creating Efficient Benchmarks for Ensembles in AutoML with OpenML	Jul 1, 2023	AutoMLPrediction	CodeCode Available	5
Efficient Non-Parametric Optimizer Search for Diverse Tasks	Sep 27, 2022	AutoMLMath	CodeCode Available	5

Show:10 25 50

← PrevPage 27 of 65Next →

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