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 381–390 of 641 papers

Title	Date	Tasks	Status	Hype
Designing Machine Learning Pipeline Toolkit for AutoML Surrogate Modeling Optimization	Jul 2, 2021	AutoMLBIG-bench Machine Learning	—Unverified	0
Bilinear Scoring Function Search for Knowledge Graph Learning	Jul 1, 2021	AutoMLGraph Embedding	CodeCode Available	1
AutoFormer: Searching Transformers for Visual Recognition	Jul 1, 2021	AutoMLFine-Grained Image Classification	CodeCode Available	2
Exploring Robust Architectures for Deep Artificial Neural Networks	Jun 30, 2021	AutoMLimage-classification	CodeCode Available	0
Privileged Zero-Shot AutoML	Jun 25, 2021	AutoMLBIG-bench Machine Learning	—Unverified	0
Evaluation of Representation Models for Text Classification with AutoML Tools	Jun 24, 2021	AutoMLtext-classification	—Unverified	0
Comparison of Automated Machine Learning Tools for SMS Spam Message Filtering	Jun 16, 2021	AutoMLBIG-bench Machine Learning	CodeCode Available	0
Efficient Data-specific Model Search for Collaborative Filtering	Jun 14, 2021	AutoMLCollaborative Filtering	—Unverified	0
Automated Machine Learning Techniques for Data Streams	Jun 14, 2021	AutoMLBIG-bench Machine Learning	CodeCode Available	1
A multi-objective perspective on jointly tuning hardware and hyperparameters	Jun 10, 2021	AutoMLTransfer Learning	—Unverified	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