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 501–510 of 641 papers

Title	Date	Tasks	Status
Demo Application for the AutoGOAL Framework	Dec 1, 2020	AutoMLBIG-bench Machine Learning	—Unverified
Long Short Term Memory Networks for Bandwidth Forecasting in Mobile Broadband Networks under Mobility	Nov 20, 2020	AutoMLHyperparameter Optimization	—Unverified
Automatic selection of clustering algorithms using supervised graph embedding	Nov 16, 2020	AutoMLClustering	CodeCode Available
Automated Model Compression by Jointly Applied Pruning and Quantization	Nov 12, 2020	AutoMLModel Compression	—Unverified
FDNAS: Improving Data Privacy and Model Diversity in AutoML	Nov 6, 2020	AutoMLDiversity	—Unverified
Improving Machine Reading Comprehension with Single-choice Decision and Transfer Learning	Nov 6, 2020	AutoMLBinary Classification	—Unverified
AgEBO-Tabular: Joint Neural Architecture and Hyperparameter Search with Autotuned Data-Parallel Training for Tabular Data	Oct 30, 2020	AutoMLBayesian Optimization	—Unverified
Resource-Aware Pareto-Optimal Automated Machine Learning Platform	Oct 30, 2020	AutoMLBayesian Optimization	—Unverified
Crop and weed classification based on AutoML	Oct 28, 2020	AutoMLClassification	—Unverified
AutoSpeech 2020: The Second Automated Machine Learning Challenge for Speech Classification	Oct 25, 2020	AutoMLBIG-bench Machine Learning	—Unverified

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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