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 481–490 of 641 papers

Title	Date	Tasks	Status	Hype
HyperTendril: Visual Analytics for User-Driven Hyperparameter Optimization of Deep Neural Networks	Sep 4, 2020	AutoMLHyperparameter Optimization	—Unverified	0
Can AutoML outperform humans? An evaluation on popular OpenML datasets using AutoML Benchmark	Sep 3, 2020	AutoMLBIG-bench Machine Learning	—Unverified	0
Auto-Classifier: A Robust Defect Detector Based on an AutoML Head	Sep 3, 2020	AllAutoML	CodeCode Available	0
DARTS-: Robustly Stepping out of Performance Collapse Without Indicators	Sep 2, 2020	AutoMLNeural Architecture Search	CodeCode Available	1
NASirt: AutoML based learning with instance-level complexity information	Aug 26, 2020	AutoMLNeural Architecture Search	—Unverified	0
Channel-wise Hessian Aware trace-Weighted Quantization of Neural Networks	Aug 19, 2020	AutoMLDeep Reinforcement Learning	—Unverified	0
Automated Machine Learning -- a brief review at the end of the early years	Aug 19, 2020	AutoMLBIG-bench Machine Learning	—Unverified	0
NASE: Learning Knowledge Graph Embedding for Link Prediction via Neural Architecture Search	Aug 18, 2020	AutoMLGraph Embedding	CodeCode Available	0
AIPerf: Automated machine learning as an AI-HPC benchmark	Aug 17, 2020	AutoMLBenchmarking	CodeCode Available	1
Hardware-Centric AutoML for Mixed-Precision Quantization	Aug 11, 2020	AutoMLQuantization	—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