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 571–580 of 641 papers

Title	Date	Tasks	Status
Encoding high-cardinality string categorical variables	Jul 3, 2019	AutoMLFeature Engineering	CodeCode Available
AutoML Strategy Based on Grammatical Evolution: A Case Study about Knowledge Discovery from Text	Jul 1, 2019	AutoMLBIG-bench Machine Learning	—Unverified
Single-Path Mobile AutoML: Efficient ConvNet Design and NAS Hyperparameter Optimization	Jul 1, 2019	AutoMLGPU	CodeCode Available
Two-stage Optimization for Machine Learning Workflow	Jul 1, 2019	AutoMLBIG-bench Machine Learning	CodeCode Available
An Open Source AutoML Benchmark	Jul 1, 2019	AutoMLBIG-bench Machine Learning	—Unverified
Efficient Neural Interaction Function Search for Collaborative Filtering	Jun 28, 2019	AutoMLCollaborative Filtering	CodeCode Available
Meta-learning of textual representations	Jun 21, 2019	AutoMLMeta-Learning	CodeCode Available
Automated Machine Learning: State-of-The-Art and Open Challenges	Jun 5, 2019	AutoMLBIG-bench Machine Learning	CodeCode Available
Approximation capability of neural networks on spaces of probability measures and tree-structured domains	Jun 3, 2019	AutoML	—Unverified
Automated Machine Learning with Monte-Carlo Tree Search	Jun 1, 2019	AutoMLBayesian Optimization	CodeCode Available

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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