SOTAVerified

Model Selection

Given a set of candidate models, the goal of Model Selection is to select the model that best approximates the observed data and captures its underlying regularities. Model Selection criteria are defined such that they strike a balance between the goodness of fit, and the generalizability or complexity of the models.

Source: Kernel-based Information Criterion

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 651–675 of 2050 papers

TitleStatusHype
Digital Twin-Assisted Knowledge Distillation Framework for Heterogeneous Federated Learning—0
Efficient Sequential Decision Making with Large Language Models—0
Efficient speech detection in environmental audio using acoustic recognition and knowledge distillation—0
EL-MLFFs: Ensemble Learning of Machine Leaning Force Fields—0
DiffusionGPT: LLM-Driven Text-to-Image Generation System—0
Bayesian leave-one-out cross-validation for large data—0
Empirical analysis in limit order book modeling for Nikkei 225 Stocks with Cox-type intensities—0
Bayesian Learning with Wasserstein Barycenters—0
Empirical Comparison between Cross-Validation and Mutation-Validation in Model Selection—0
DiffGAN: A Test Generation Approach for Differential Testing of Deep Neural Networks—0
Empirical Quantitative Analysis of COVID-19 Forecasting Models—0
Empowering Agricultural Insights: RiceLeafBD - A Novel Dataset and Optimal Model Selection for Rice Leaf Disease Diagnosis through Transfer Learning Technique—0
Adaptive Sequential Machine Learning—0
Encoding-dependent generalization bounds for parametrized quantum circuits—0
End-to-End Edge AI Service Provisioning Framework in 6G ORAN—0
An Optimal Likelihood Free Method for Biological Model Selection—0
Energy-Aware Dynamic Neural Inference—0
Energy-Efficient Respiratory Anomaly Detection in Premature Newborn Infants—0
Efficient Distributed DNNs in the Mobile-edge-cloud Continuum—0
Enhancing Certifiable Robustness via a Deep Model Ensemble—0
Enhancing Offline Model-Based RL via Active Model Selection: A Bayesian Optimization Perspective—0
Enhancing the Power of OOD Detection via Sample-Aware Model Selection—0
Ensemble Method for Estimating Individualized Treatment Effects—0
Achieving Fairness with a Simple Ridge Penalty—0
Evaluating Representations with Readout Model Switching—0
Show:102550
← PrevPage 27 of 82Next →

No leaderboard results yet.