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 551–560 of 641 papers

Title	Date	Tasks	Status	Hype
AutoML using Metadata Language Embeddings	Oct 8, 2019	AutoML	CodeCode Available	0
Improved Training Speed, Accuracy, and Data Utilization via Loss Function Optimization	Sep 25, 2019	AutoMLimage-classification	—Unverified	0
Neural Architecture Search for Class-incremental Learning	Sep 14, 2019	AutoMLclass-incremental learning	—Unverified	0
AutoML for Contextual Bandits	Sep 7, 2019	AutoMLFeature Engineering	—Unverified	0
Human-AI Collaboration in Data Science: Exploring Data Scientists' Perceptions of Automated AI	Sep 5, 2019	AutoML	—Unverified	0
Neuraxle - A Python Framework for Neat Machine Learning Pipelines	Sep 1, 2019	AutoMLBIG-bench Machine Learning	CodeCode Available	0
Multi-Objective Automatic Machine Learning with AutoxgboostMC	Aug 28, 2019	AutoMLBIG-bench Machine Learning	—Unverified	0
Once-for-All: Train One Network and Specialize it for Efficient Deployment	Aug 26, 2019	AllAutoML	CodeCode Available	1
A CNN toolbox for skin cancer classification	Aug 21, 2019	AutoMLCancer Classification	—Unverified	0
SCARLET-NAS: Bridging the Gap between Stability and Scalability in Weight-sharing Neural Architecture Search	Aug 16, 2019	AutoMLImage Classification	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