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 51100 of 641 papers

TitleStatusHype
Hyperparameter optimization in deep multi-target predictionCode1
I-MCTS: Enhancing Agentic AutoML via Introspective Monte Carlo Tree SearchCode1
Learning meta-features for AutoMLCode1
AnyMatch -- Efficient Zero-Shot Entity Matching with a Small Language ModelCode1
HPOBench: A Collection of Reproducible Multi-Fidelity Benchmark Problems for HPOCode1
FLAML: A Fast and Lightweight AutoML LibraryCode1
GAMA: a General Automated Machine learning AssistantCode1
Architecture Disentanglement for Deep Neural NetworksCode1
Evolutionary Neural AutoML for Deep LearningCode1
An Information Theory-inspired Strategy for Automatic Network PruningCode1
ARLBench: Flexible and Efficient Benchmarking for Hyperparameter Optimization in Reinforcement LearningCode1
Automatically Optimized Gradient Boosting Trees for Classifying Large Volume High Cardinality Data Streams Under Concept DriftCode1
Extensible Proxy for Efficient NASCode1
Empirical Analysis of Model Selection for Heterogeneous Causal Effect EstimationCode1
Automated Machine Learning Techniques for Data StreamsCode1
Enabling AutoML for Zero-Touch Network Security: Use-Case Driven AnalysisCode1
Fast Optimizer BenchmarkCode1
LEMUR Neural Network Dataset: Towards Seamless AutoMLCode1
Efficient Architecture Search for Diverse TasksCode1
AIPerf: Automated machine learning as an AI-HPC benchmarkCode1
Efficient AutoML Pipeline Search with Matrix and Tensor FactorizationCode1
EA-HAS-Bench:Energy-Aware Hyperparameter and Architecture Search BenchmarkCode1
AutoField: Automating Feature Selection in Deep Recommender SystemsCode1
Automated Machine Learning in InsuranceCode1
Direct Differentiable Augmentation SearchCode1
Deep-n-Cheap: An Automated Search Framework for Low Complexity Deep LearningCode1
Does Unsupervised Architecture Representation Learning Help Neural Architecture Search?Code1
DC-BENCH: Dataset Condensation BenchmarkCode1
AutoDC: Automated data-centric processingCode1
Deep AutoAugmentCode1
Cross-Modal Fine-Tuning: Align then RefineCode1
DARTS-: Robustly Stepping out of Performance Collapse Without IndicatorsCode1
Deep Fast Vision: Accelerated Deep Transfer Learning Vision Prototyping and BeyondCode1
Conditional Positional Encodings for Vision TransformersCode1
Deep Pipeline Embeddings for AutoMLCode1
DHP: Differentiable Meta Pruning via HyperNetworksCode1
Efficient End-to-End AutoML via Scalable Search Space DecompositionCode1
CATE: Computation-aware Neural Architecture Encoding with TransformersCode1
Cardea: An Open Automated Machine Learning Framework for Electronic Health RecordsCode1
DriveML: An R Package for Driverless Machine LearningCode1
AutoGAN-Distiller: Searching to Compress Generative Adversarial NetworksCode1
AutoGL: A Library for Automated Graph LearningCode1
Bi-level Alignment for Cross-Domain Crowd CountingCode1
CliMB: An AI-enabled Partner for Clinical Predictive ModelingCode1
Bag of Baselines for Multi-objective Joint Neural Architecture Search and Hyperparameter OptimizationCode1
AutoSmart: An Efficient and Automatic Machine Learning framework for Temporal Relational DataCode1
Efficient Relation-aware Scoring Function Search for Knowledge Graph EmbeddingCode1
Embedding in Recommender Systems: A SurveyCode1
AutoSF: Searching Scoring Functions for Knowledge Graph EmbeddingCode1
AutoVideo: An Automated Video Action Recognition SystemCode1
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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