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 491–500 of 641 papers

Title	Date	Tasks	Status	Hype
Iterative Compression of End-to-End ASR Model using AutoML	Aug 6, 2020	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified	0
Weight-Sharing Neural Architecture Search: A Battle to Shrink the Optimization Gap	Aug 4, 2020	AutoMLNeural Architecture Search	—Unverified	0
Shape Adaptor: A Learnable Resizing Module	Aug 3, 2020	AutoMLimage-classification	CodeCode Available	1
On Hyperparameter Optimization of Machine Learning Algorithms: Theory and Practice	Jul 30, 2020	AutoMLBIG-bench Machine Learning	CodeCode Available	2
Practical and sample efficient zero-shot HPO	Jul 27, 2020	AutoMLHyperparameter Optimization	—Unverified	0
Loss Function Search for Face Recognition	Jul 10, 2020	AutoMLFace Recognition	CodeCode Available	1
GAMA: a General Automated Machine learning Assistant	Jul 9, 2020	AutoMLBenchmarking	CodeCode Available	1
Auto-Sklearn 2.0: Hands-free AutoML via Meta-Learning	Jul 8, 2020	AutoMLBIG-bench Machine Learning	CodeCode Available	3
AutoRec: An Automated Recommender System	Jun 26, 2020	AutoMLClick-Through Rate Prediction	CodeCode Available	0
Memory-efficient Embedding for Recommendations	Jun 26, 2020	AutoMLRecommendation Systems	—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