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	Hype
Fast, Accurate, and Simple Models for Tabular Data via Augmented Distillation	Jun 25, 2020	AutoMLData Augmentation	—Unverified	0
AutoCP: Automated Pipelines for Accurate Prediction Intervals	Jun 24, 2020	AutoMLBIG-bench Machine Learning	—Unverified	0
Auto-PyTorch Tabular: Multi-Fidelity MetaLearning for Efficient and Robust AutoDL	Jun 24, 2020	AutoMLNeural Architecture Search	CodeCode Available	2
Reusing Trained Layers of Convolutional Neural Networks to Shorten Hyperparameters Tuning Time	Jun 16, 2020	AutoML	—Unverified	0
AutoGAN-Distiller: Searching to Compress Generative Adversarial Networks	Jun 15, 2020	AutoMLKnowledge Distillation	CodeCode Available	1
Neural Ensemble Search for Uncertainty Estimation and Dataset Shift	Jun 15, 2020	AutoMLDiversity	CodeCode Available	1
Does Unsupervised Architecture Representation Learning Help Neural Architecture Search?	Jun 12, 2020	AutoMLNeural Architecture Search	CodeCode Available	1
Is deep learning necessary for simple classification tasks?	Jun 11, 2020	AutoMLBinary Classification	CodeCode Available	3
Adaptation Strategies for Automated Machine Learning on Evolving Data	Jun 9, 2020	AutoMLBayesian Optimization	CodeCode Available	0
Efficient AutoML Pipeline Search with Matrix and Tensor Factorization	Jun 7, 2020	AutoML	CodeCode Available	1

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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