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	Hype
Transferable AutoML by Model Sharing Over Grouped Datasets	Jun 1, 2019	AutoMLBIG-bench Machine Learning	—Unverified	0
Cascaded Algorithm-Selection and Hyper-Parameter Optimization with Extreme-Region Upper Confidence Bound Bandit	May 31, 2019	AutoML	—Unverified	0
DDPNAS: Efficient Neural Architecture Search via Dynamic Distribution Pruning	May 28, 2019	AutoMLGPU	CodeCode Available	0
Improved Training Speed, Accuracy, and Data Utilization Through Loss Function Optimization	May 27, 2019	AutoMLimage-classification	CodeCode Available	0
Automatic Machine Learning by Pipeline Synthesis using Model-Based Reinforcement Learning and a Grammar	May 24, 2019	AutoMLBayesian Optimization	—Unverified	0
The Machine Learning Bazaar: Harnessing the ML Ecosystem for Effective System Development	May 22, 2019	AutoMLBayesian Optimization	CodeCode Available	0
Analysis of the AutoML Challenge Series 2015–2018	May 18, 2019	AutoMLBIG-bench Machine Learning	—Unverified	0
Towards Automatically-Tuned Deep Neural Networks	May 18, 2019	AutoMLBIG-bench Machine Learning	CodeCode Available	2
AutoDispNet: Improving Disparity Estimation With AutoML	May 17, 2019	AutoMLBayesian Optimization	CodeCode Available	0
AM-LFS: AutoML for Loss Function Search	May 17, 2019	AutoML	CodeCode Available	0

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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