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

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Showing 476–500 of 2050 papers

Title	Date	Tasks	Status	Score
Face Spoofing Detection using Deep Learning	Mar 25, 2025	Deep Learningimage-classification	CodeCode Available	5
Evaluation of dynamic causal modelling and Bayesian model selection using simulations of networks of spiking neurons	Jun 28, 2023	Model Selection	CodeCode Available	5
Convex Covariate Clustering for Classification	Mar 5, 2019	ClassificationClustering	CodeCode Available	5
Precision-Recall-Gain Curves: PR Analysis Done Right	Dec 1, 2015	Binary ClassificationModel Selection	CodeCode Available	5
Evaluating LLP Methods: Challenges and Approaches	Oct 29, 2023	BenchmarkingModel Selection	CodeCode Available	5
A-DARTS: Stable Model Selection for Data Repair in Time Series	May 1, 2025	AutoMLImputation	CodeCode Available	5
Predictive Multiplicity in Classification	Sep 14, 2019	ClassificationGeneral Classification	CodeCode Available	5
Probabilistic Matrix Factorization for Automated Machine Learning	May 15, 2017	Bayesian OptimizationBIG-bench Machine Learning	CodeCode Available	5
Learning Relevant Contextual Variables Within Bayesian Optimization	May 23, 2023	Bayesian OptimizationModel Selection	CodeCode Available	5
Evaluation of HTR models without Ground Truth Material	Jan 17, 2022	Handwritten Text RecognitionHTR	CodeCode Available	5
AALF: Almost Always Linear Forecasting	Sep 16, 2024	Decision MakingDeep Learning	CodeCode Available	5
Bayesian Neural Networks at Finite Temperature	Apr 8, 2019	Bayesian InferenceModel Selection	CodeCode Available	5
Estimating Individual Treatment Effects using Non-Parametric Regression Models: a Review	Sep 14, 2020	Causal InferenceModel Selection	CodeCode Available	5
Evaluating Large Language Models as Generative User Simulators for Conversational Recommendation	Mar 13, 2024	Conversational RecommendationModel Selection	CodeCode Available	5
Factored Latent-Dynamic Conditional Random Fields for Single and Multi-label Sequence Modeling	Nov 9, 2019	GPUModel Selection	CodeCode Available	5
E Pluribus Unum: Guidelines on Multi-Objective Evaluation of Recommender Systems	Apr 20, 2023	DiversityFairness	CodeCode Available	5
Ranking vs. Classifying: Measuring Knowledge Base Completion Quality	Feb 2, 2021	Knowledge Base CompletionModel Selection	CodeCode Available	5
Automated Model Selection for Tabular Data	Jan 1, 2024	feature selectionmodel	CodeCode Available	5
A Realistic Protocol for Evaluation of Weakly Supervised Object Localization	Apr 15, 2024	Model SelectionObject	CodeCode Available	5
EPP: interpretable score of model predictive power	Aug 24, 2019	Binary ClassificationGeneral Classification	CodeCode Available	5
Cross-Validated Off-Policy Evaluation	May 24, 2024	Model SelectionOff-policy evaluation	CodeCode Available	5
Adaptive Uncertainty-Guided Model Selection for Data-Driven PDE Discovery	Aug 20, 2023	DenoisingModel Discovery	CodeCode Available	5
Cross-Validation with Confidence	Mar 23, 2017	Model SelectionVariable Selection	CodeCode Available	5
E-QUARTIC: Energy Efficient Edge Ensemble of Convolutional Neural Networks for Resource-Optimized Learning	Sep 12, 2024	Ensemble LearningMeta-Learning	CodeCode Available	5
Achieving Well-Informed Decision-Making in Drug Discovery: A Comprehensive Calibration Study using Neural Network-Based Structure-Activity Models	Jul 19, 2024	Decision MakingDrug Discovery	CodeCode Available	5

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