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 551–560 of 641 papers

Title	Date	Tasks	Status
Trust in AutoML: Exploring Information Needs for Establishing Trust in Automated Machine Learning Systems	Jan 17, 2020	AutoMLBIG-bench Machine Learning	—Unverified
Stepwise Model Selection for Sequence Prediction via Deep Kernel Learning	Jan 12, 2020	AutoMLBayesian Optimization	—Unverified
Searching to Exploit Memorization Effect in Learning with Noisy Labels	Jan 1, 2020	AutoMLLearning with noisy labels	—Unverified
Evolving Machine Learning Algorithms From Scratch	Jan 1, 2020	AutoMLBIG-bench Machine Learning	—Unverified
AutoML: Exploration v.s. Exploitation	Dec 23, 2019	AutoMLMeta-Learning	CodeCode Available
AutoAIViz: Opening the Blackbox of Automated Artificial Intelligence with Conditional Parallel Coordinates	Dec 13, 2019	AutoMLFeature Engineering	—Unverified
Fair DARTS: Eliminating Unfair Advantages in Differentiable Architecture Search	Nov 27, 2019	AutoMLNeural Architecture Search	CodeCode Available
Graph Pruning for Model Compression	Nov 22, 2019	AutoMLmodel	—Unverified
Towards Human Centered AutoML	Nov 6, 2019	AutoMLPosition	—Unverified
Searching to Exploit Memorization Effect in Learning from Corrupted Labels	Nov 6, 2019	AutoMLMemorization	CodeCode Available

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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