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 150 of 641 papers

TitleStatusHype
Advances and Challenges in Foundation Agents: From Brain-Inspired Intelligence to Evolutionary, Collaborative, and Safe SystemsCode7
TabRepo: A Large Scale Repository of Tabular Model Evaluations and its AutoML ApplicationsCode6
AutoGluon-TimeSeries: AutoML for Probabilistic Time Series ForecastingCode6
MobileVLM V2: Faster and Stronger Baseline for Vision Language ModelCode5
MOSPAT: AutoML based Model Selection and Parameter Tuning for Time Series Anomaly DetectionCode5
TabPFN: A Transformer That Solves Small Tabular Classification Problems in a SecondCode5
BigDL 2.0: Seamless Scaling of AI Pipelines from Laptops to Distributed ClusterCode5
Open Problems in Applied Deep LearningCode4
Efficient Automated Deep Learning for Time Series ForecastingCode4
AlphaEvolve: A Learning Framework to Discover Novel Alphas in Quantitative InvestmentCode3
Robust and Accurate Object Detection via Adversarial LearningCode3
Benchmarking Automatic Machine Learning FrameworksCode3
Benchmarking Multimodal AutoML for Tabular Data with Text FieldsCode3
Model-based Asynchronous Hyperparameter and Neural Architecture SearchCode3
MLZero: A Multi-Agent System for End-to-end Machine Learning AutomationCode3
Auto-Sklearn 2.0: Hands-free AutoML via Meta-LearningCode3
Is deep learning necessary for simple classification tasks?Code3
EfficientNetV2: Smaller Models and Faster TrainingCode3
Layered TPOT: Speeding up Tree-based Pipeline OptimizationCode3
Efficient and Robust Automated Machine LearningCode3
EfficientDet: Scalable and Efficient Object DetectionCode3
DeepCAVE: An Interactive Analysis Tool for Automated Machine LearningCode3
AutoGluon-Tabular: Robust and Accurate AutoML for Structured DataCode3
MobileVLM : A Fast, Strong and Open Vision Language Assistant for Mobile DevicesCode3
Towards Automatically-Tuned Deep Neural NetworksCode2
AMC: AutoML for Model Compression and Acceleration on Mobile DevicesCode2
ChaCha for Online AutoMLCode2
On Hyperparameter Optimization of Machine Learning Algorithms: Theory and PracticeCode2
CAPO: Cost-Aware Prompt OptimizationCode2
QuoTA: Query-oriented Token Assignment via CoT Query Decouple for Long Video ComprehensionCode2
SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter OptimizationCode2
MedMNIST v2 -- A large-scale lightweight benchmark for 2D and 3D biomedical image classificationCode2
Active-Learning-as-a-Service: An Automatic and Efficient MLOps System for Data-Centric AICode2
MedMNIST Classification Decathlon: A Lightweight AutoML Benchmark for Medical Image AnalysisCode2
IoT Data Analytics in Dynamic Environments: From An Automated Machine Learning PerspectiveCode2
Auto-PyTorch Tabular: Multi-Fidelity MetaLearning for Efficient and Robust AutoDLCode2
HyperFast: Instant Classification for Tabular DataCode2
LightAutoML: AutoML Solution for a Large Financial Services EcosystemCode2
Fraud Dataset Benchmark and ApplicationsCode2
AutoML-Agent: A Multi-Agent LLM Framework for Full-Pipeline AutoMLCode2
forester: A Tree-Based AutoML Tool in RCode2
From Tiny Machine Learning to Tiny Deep Learning: A SurveyCode2
DeepMol: An Automated Machine and Deep Learning Framework for Computational ChemistrCode2
AutoFormer: Searching Transformers for Visual RecognitionCode2
AMLB: an AutoML BenchmarkCode2
Frugal Optimization for Cost-related HyperparametersCode2
GenoTEX: An LLM Agent Benchmark for Automated Gene Expression Data AnalysisCode2
Cardea: An Open Automated Machine Learning Framework for Electronic Health RecordsCode1
CATE: Computation-aware Neural Architecture Encoding with TransformersCode1
Bi-level Alignment for Cross-Domain Crowd CountingCode1
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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