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 201–210 of 641 papers

Title	Date	Tasks	Status	Hype
Hyperparameters in Reinforcement Learning and How To Tune Them	Jun 2, 2023	AutoMLDeep Reinforcement Learning	—Unverified	0
PFNs4BO: In-Context Learning for Bayesian Optimization	May 27, 2023	AutoMLBayesian Optimization	CodeCode Available	1
ChatGPT as your Personal Data Scientist	May 23, 2023	AutoMLData Visualization	—Unverified	0
Deep Pipeline Embeddings for AutoML	May 23, 2023	Automatic Machine Learning Model SelectionAutoML	CodeCode Available	1
Learning Activation Functions for Sparse Neural Networks	May 18, 2023	AutoMLHyperparameter Optimization	CodeCode Available	0
XTab: Cross-table Pretraining for Tabular Transformers	May 10, 2023	AutoMLFederated Learning	CodeCode Available	1
High-throughput Cotton Phenotyping Big Data Pipeline Lambda Architecture Computer Vision Deep Neural Networks	May 9, 2023	AutoMLCloud Computing	—Unverified	0
Large Language Models for Automated Data Science: Introducing CAAFE for Context-Aware Automated Feature Engineering	May 5, 2023	Automated Feature EngineeringAutoML	CodeCode Available	1
AutoML-GPT: Automatic Machine Learning with GPT	May 4, 2023	AutoML	—Unverified	0
EA-HAS-Bench:Energy-Aware Hyperparameter and Architecture Search Benchmark	May 1, 2023	AutoML	CodeCode Available	1

Show:10 25 50

← PrevPage 21 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