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 531–540 of 641 papers

Title	Date	Tasks	Status	Hype
AutoEmb: Automated Embedding Dimensionality Search in Streaming Recommendations	Feb 26, 2020	AutoMLRecommendation Systems	—Unverified	0
Best of Both Worlds: AutoML Codesign of a CNN and its Hardware Accelerator	Feb 11, 2020	AutoMLGeneral Classification	—Unverified	0
An Adaptive and Near Parameter-free Evolutionary Computation Approach Towards True Automation in AutoML	Jan 28, 2020	AutoML	CodeCode Available	0
Improving generalisation of AutoML systems with dynamic fitness evaluations	Jan 23, 2020	AutoMLBIG-bench Machine Learning	—Unverified	0
Trust in AutoML: Exploring Information Needs for Establishing Trust in Automated Machine Learning Systems	Jan 17, 2020	AutoMLBIG-bench Machine Learning	—Unverified	0
MixPath: A Unified Approach for One-shot Neural Architecture Search	Jan 16, 2020	AutoMLNeural Architecture Search	CodeCode Available	1
Stepwise Model Selection for Sequence Prediction via Deep Kernel Learning	Jan 12, 2020	AutoMLBayesian Optimization	—Unverified	0
Searching to Exploit Memorization Effect in Learning with Noisy Labels	Jan 1, 2020	AutoMLLearning with noisy labels	—Unverified	0
Evolving Machine Learning Algorithms From Scratch	Jan 1, 2020	AutoMLBIG-bench Machine Learning	—Unverified	0
AutoML: Exploration v.s. Exploitation	Dec 23, 2019	AutoMLMeta-Learning	CodeCode Available	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