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 451–460 of 641 papers

Title	Date	Tasks	Status
Designing Machine Learning Pipeline Toolkit for AutoML Surrogate Modeling Optimization	Jul 2, 2021	AutoMLBIG-bench Machine Learning	—Unverified
Exploring Robust Architectures for Deep Artificial Neural Networks	Jun 30, 2021	AutoMLimage-classification	CodeCode Available
Privileged Zero-Shot AutoML	Jun 25, 2021	AutoMLBIG-bench Machine Learning	—Unverified
Evaluation of Representation Models for Text Classification with AutoML Tools	Jun 24, 2021	AutoMLtext-classification	—Unverified
Comparison of Automated Machine Learning Tools for SMS Spam Message Filtering	Jun 16, 2021	AutoMLBIG-bench Machine Learning	CodeCode Available
Efficient Data-specific Model Search for Collaborative Filtering	Jun 14, 2021	AutoMLCollaborative Filtering	—Unverified
A multi-objective perspective on jointly tuning hardware and hyperparameters	Jun 10, 2021	AutoMLTransfer Learning	—Unverified
MONCAE: Multi-Objective Neuroevolution of Convolutional Autoencoders	Jun 7, 2021	AutoMLimage-classification	—Unverified
Tabular Data: Deep Learning is Not All You Need	Jun 6, 2021	AllAutoML	CodeCode Available
Incorporating domain knowledge into neural-guided search via in situ priors and constraints	May 20, 2021	AutoMLregression	—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