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 591–600 of 641 papers

Title	Date	Tasks	Status	Hype
An ADMM Based Framework for AutoML Pipeline Configuration	May 1, 2019	AutoMLBinary Classification	—Unverified	0
Approximation capability of neural networks on sets of probability measures and tree-structured data	May 1, 2019	AutoML	—Unverified	0
Benchmark and Survey of Automated Machine Learning Frameworks	Apr 26, 2019	AutoMLBIG-bench Machine Learning	CodeCode Available	0
AutoSF: Searching Scoring Functions for Knowledge Graph Embedding	Apr 26, 2019	AutoMLGraph Embedding	CodeCode Available	1
DeepFreak: Learning Crystallography Diffraction Patterns with Automated Machine Learning	Apr 26, 2019	AutoMLBIG-bench Machine Learning	CodeCode Available	0
CascadeML: An Automatic Neural Network Architecture Evolution and Training Algorithm for Multi-label Classification	Apr 23, 2019	AutoMLGeneral Classification	—Unverified	0
Neural Architecture Search for Deep Face Recognition	Apr 21, 2019	AutoMLFace Recognition	—Unverified	0
Adaptive Bayesian Linear Regression for Automated Machine Learning	Apr 1, 2019	AutoMLBayesian Optimization	—Unverified	0
MetaPruning: Meta Learning for Automatic Neural Network Channel Pruning	Mar 25, 2019	AutoMLMeta-Learning	CodeCode Available	1
Regularize, Expand and Compress: Multi-task based Lifelong Learning via NonExpansive AutoML	Mar 20, 2019	AutoMLContinual Learning	—Unverified	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