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 391–400 of 641 papers

Title	Date	Tasks	Status
The Roles and Modes of Human Interactions with Automated Machine Learning Systems	May 9, 2022	AutoMLBIG-bench Machine Learning	—Unverified
E8-IJS@LT-EDI-ACL2022 - BERT, AutoML and Knowledge-graph backed Detection of Depression	May 1, 2022	AutoML	—Unverified
Enable Deep Learning on Mobile Devices: Methods, Systems, and Applications	Apr 25, 2022	AutoMLDeep Learning	—Unverified
Search-based Methods for Multi-Cloud Configuration	Apr 20, 2022	AutoMLCloud Computing	—Unverified
AutoMLBench: A Comprehensive Experimental Evaluation of Automated Machine Learning Frameworks	Apr 18, 2022	AutoMLBIG-bench Machine Learning	—Unverified
Bridging the Gap of AutoGraph between Academia and Industry: Analysing AutoGraph Challenge at KDD Cup 2020	Apr 6, 2022	AutoMLGPU	CodeCode Available
A Comprehensive Survey on Automated Machine Learning for Recommendations	Apr 4, 2022	AutoMLBIG-bench Machine Learning	—Unverified
AutoCoMet: Smart Neural Architecture Search via Co-Regulated Shaping Reinforcement	Mar 29, 2022	AutoMLNeural Architecture Search	—Unverified
AutoML for Deep Recommender Systems: A Survey	Mar 25, 2022	AutoMLfeature selection	—Unverified
Meta-Learning of NAS for Few-shot Learning in Medical Image Applications	Mar 16, 2022	AutoMLFew-Shot 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