SOTAVerified

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 AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 476–500 of 641 papers

TitleStatusHype
Evolutionary Architecture Search for Graph Neural NetworksCode0
Automatic deep learning for trend prediction in time series data—0
An Extensive Experimental Evaluation of Automated Machine Learning Methods for Recommending Classification Algorithms (Extended Version)—0
AutoML for Multilayer Perceptron and FPGA Co-design—0
Hyperparameter Optimization via Sequential Uniform DesignsCode1
HyperTendril: Visual Analytics for User-Driven Hyperparameter Optimization of Deep Neural Networks—0
Can AutoML outperform humans? An evaluation on popular OpenML datasets using AutoML Benchmark—0
Auto-Classifier: A Robust Defect Detector Based on an AutoML HeadCode0
DARTS-: Robustly Stepping out of Performance Collapse Without IndicatorsCode1
NASirt: AutoML based learning with instance-level complexity information—0
Channel-wise Hessian Aware trace-Weighted Quantization of Neural Networks—0
Automated Machine Learning -- a brief review at the end of the early years—0
NASE: Learning Knowledge Graph Embedding for Link Prediction via Neural Architecture SearchCode0
AIPerf: Automated machine learning as an AI-HPC benchmarkCode1
Hardware-Centric AutoML for Mixed-Precision Quantization—0
Iterative Compression of End-to-End ASR Model using AutoML—0
Weight-Sharing Neural Architecture Search: A Battle to Shrink the Optimization Gap—0
Shape Adaptor: A Learnable Resizing ModuleCode1
On Hyperparameter Optimization of Machine Learning Algorithms: Theory and PracticeCode2
Practical and sample efficient zero-shot HPO—0
Loss Function Search for Face RecognitionCode1
GAMA: a General Automated Machine learning AssistantCode1
Auto-Sklearn 2.0: Hands-free AutoML via Meta-LearningCode3
AutoRec: An Automated Recommender SystemCode0
Memory-efficient Embedding for Recommendations—0
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All datasetsChalearn-AutoML-1Breast Cancer Coimbra Data SetOrdinalDatasetWine

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1marc.boulleRank (AutoML5)6.4—Unverified
2reference_mbRank (AutoML5)5.2—Unverified
3postech.mlg_exbrainRank (AutoML5)5.2—Unverified
4abhishek4Rank (AutoML5)4.6—Unverified
5referenceRank (AutoML5)4.4—Unverified
6reference_lsRank (AutoML5)4—Unverified
7djajeticRank (AutoML5)3—Unverified
8aad_freiburgRank (AutoML5)1.6—Unverified
#ModelMetricClaimedVerifiedStatus
1Logistic RegressionAccuracy97.02—Unverified
#ModelMetricClaimedVerifiedStatus
1Zero-shot-BERT-SORT1:1 Accuracy55—Unverified
#ModelMetricClaimedVerifiedStatus
1Logistic Regressionaccuracy98.33—Unverified