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

Showing 601641 of 641 papers

TitleStatusHype
AutoDispNet: Improving Disparity Estimation With AutoMLCode0
MoGA: Searching Beyond MobileNetV3Code0
When Your Own Output Becomes Your Training Data: Noise-to-Meaning Loops and a Formal RSI TriggerCode0
Benchmarking AutoML algorithms on a collection of synthetic classification problemsCode0
AM-LFS: AutoML for Loss Function SearchCode0
The Impact of Feature Quantity on Recommendation Algorithm Performance: A Movielens-100K Case StudyCode0
AutoXPCR: Automated Multi-Objective Model Selection for Time Series ForecastingCode0
SCARLET-NAS: Bridging the Gap between Stability and Scalability in Weight-sharing Neural Architecture SearchCode0
Examining marginal properness in the external validation of survival models with squared and logarithmic lossesCode0
AutoTransfer: AutoML with Knowledge Transfer -- An Application to Graph Neural NetworksCode0
The Machine Learning Bazaar: Harnessing the ML Ecosystem for Effective System DevelopmentCode0
AutoRL Hyperparameter LandscapesCode0
AutoRec: An Automated Recommender SystemCode0
A knowledge-driven AutoML architectureCode0
Efficient Neural Interaction Function Search for Collaborative FilteringCode0
Searching to Exploit Memorization Effect in Learning from Corrupted LabelsCode0
AutoQML: A Framework for Automated Quantum Machine LearningCode0
NASE: Learning Knowledge Graph Embedding for Link Prediction via Neural Architecture SearchCode0
VirnyFlow: A Design Space for Responsible Model DevelopmentCode0
Auto-Classifier: A Robust Defect Detector Based on an AutoML HeadCode0
Automated Machine Learning with Monte-Carlo Tree SearchCode0
A Meta-Level Learning Algorithm for Sequential Hyper-Parameter Space Reduction in AutoMLCode0
AdaptoML-UX: An Adaptive User-centered GUI-based AutoML Toolkit for Non-AI Experts and HCI ResearchersCode0
Semantic Classification of Tabular Datasets via Character-Level Convolutional Neural NetworksCode0
Towards Automated Design of Bayesian Optimization via Exploratory Landscape AnalysisCode0
Neural Architecture Search for Sentence Classification with BERTCode0
Auto-nnU-Net: Towards Automated Medical Image SegmentationCode0
Neuraxle - A Python Framework for Neat Machine Learning PipelinesCode0
AutoML-Zero: Evolving Machine Learning Algorithms From ScratchCode0
AutoML using Metadata Language EmbeddingsCode0
Two-stage Optimization for Machine Learning WorkflowCode0
AutoML Meets Time Series Regression Design and Analysis of the AutoSeries ChallengeCode0
AutoML in Heavily Constrained ApplicationsCode0
AutoML-guided Fusion of Entity and LLM-based Representations for Document ClassificationCode0
AutoML for neuromorphic computing and application-driven co-design: asynchronous, massively parallel optimization of spiking architecturesCode0
ATMSeer: Increasing Transparency and Controllability in Automated Machine LearningCode0
UniAutoML: A Human-Centered Framework for Unified Discriminative and Generative AutoML with Large Language ModelsCode0
A Neophyte With AutoML: Evaluating the Promises of Automatic Machine Learning ToolsCode0
On Taking Advantage of Opportunistic Meta-knowledge to Reduce Configuration Spaces for Automated Machine LearningCode0
Single-Path Mobile AutoML: Efficient ConvNet Design and NAS Hyperparameter OptimizationCode0
Classification of integers based on residue classes via modern deep learning algorithmsCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1marc.boulleRank (AutoML5)6.4Unverified
2reference_mbRank (AutoML5)5.2Unverified
3postech.mlg_exbrainRank (AutoML5)5.2Unverified
4abhishek4Rank (AutoML5)4.6Unverified
5referenceRank (AutoML5)4.4Unverified
6reference_lsRank (AutoML5)4Unverified
7djajeticRank (AutoML5)3Unverified
8aad_freiburgRank (AutoML5)1.6Unverified
#ModelMetricClaimedVerifiedStatus
1Logistic RegressionAccuracy97.02Unverified
#ModelMetricClaimedVerifiedStatus
1Zero-shot-BERT-SORT1:1 Accuracy55Unverified
#ModelMetricClaimedVerifiedStatus
1Logistic Regressionaccuracy98.33Unverified