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 626–650 of 2050 papers

TitleStatusHype
Data-driven model selection within the matrix completion method for causal panel data models—0
When Benchmarks are Targets: Revealing the Sensitivity of Large Language Model LeaderboardsCode0
A Personalized Framework for Consumer and Producer Group Fairness Optimization in Recommender SystemsCode0
Dropout-Based Rashomon Set Exploration for Efficient Predictive Multiplicity Estimation—0
Dynamical System Identification, Model Selection and Model Uncertainty Quantification by Bayesian Inference—0
MT-HCCAR: Multi-Task Deep Learning with Hierarchical Classification and Attention-based Regression for Cloud Property RetrievalCode0
Green Runner: A tool for efficient deep learning component selection—0
Is K-fold cross validation the best model selection method for Machine Learning?—0
Fast Partition-Based Cross-Validation With Centering and Scaling for X^TX and X^TY—0
Towards Improved Variational Inference for Deep Bayesian Models—0
Budgeted Online Model Selection and Fine-Tuning via Federated Learning—0
DiffusionGPT: LLM-Driven Text-to-Image Generation System—0
Valid causal inference with unobserved confounding in high-dimensional settingsCode0
An Axiomatic Approach to Model-Agnostic Concept Explanations—0
Arrival Time Prediction for Autonomous Shuttle Services in the Real World: Evidence from Five Cities—0
Experiment Planning with Function Approximation—0
Music Genre Classification: A Comparative Analysis of CNN and XGBoost Approaches with Mel-frequency cepstral coefficients and Mel Spectrograms—0
Understanding Short-Term Implied Volatility Dynamics: A Model-Independent Approach Beyond Stochastic Volatility—0
Comprehensive Exploration of Synthetic Data Generation: A Survey—0
U-Trustworthy Models.Reliability, Competence, and Confidence in Decision-Making—0
Few-shot Adaptation of Multi-modal Foundation Models: A Survey—0
Explainable Adaptive Tree-based Model Selection for Time Series Forecasting—0
Automated Model Selection for Tabular DataCode0
Enhancing the Power of OOD Detection via Sample-Aware Model Selection—0
Downstream Task-Oriented Generative Model Selections on Synthetic Data Training for Fraud Detection Models—0
Show:102550
← PrevPage 26 of 82Next →

No leaderboard results yet.