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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 601–650 of 2050 papers

TitleStatusHype
Tryage: Real-time, intelligent Routing of User Prompts to Large Language Models—0
Adaptive Uncertainty-Guided Model Selection for Data-Driven PDE DiscoveryCode0
Open, Closed, or Small Language Models for Text Classification?—0
Which Transformer to Favor: A Comparative Analysis of Efficiency in Vision TransformersCode1
LCE: An Augmented Combination of Bagging and Boosting in PythonCode1
No Regularization is Needed: An Efficient and Effective Model for Incomplete Label Distribution Learning—0
Foundation Model is Efficient Multimodal Multitask Model SelectorCode1
A coupled-mechanisms modelling framework for neurodegeneration—0
Updating Clinical Risk Stratification Models Using Rank-Based Compatibility: Approaches for Evaluating and Optimizing Clinician-Model Team Performance—0
Cal-SFDA: Source-Free Domain-adaptive Semantic Segmentation with Differentiable Expected Calibration ErrorCode1
Understanding User Intent Modeling for Conversational Recommender Systems: A Systematic Literature Review—0
A Review of Change of Variable Formulas for Generative Modeling—0
Interpretable Machine Learning for Discovery: Statistical Challenges \& Opportunities—0
Predictive Modeling through Hyper-Bayesian Optimization—0
A Study of Unsupervised Evaluation Metrics for Practical and Automatic Domain Adaptation—0
A Critical Review of Large Language Models: Sensitivity, Bias, and the Path Toward Specialized AI—0
An Ensemble Method of Deep Reinforcement Learning for Automated Cryptocurrency Trading—0
Learning Disentangled Discrete RepresentationsCode0
Rational kernel-based interpolation for complex-valued frequency response functions—0
Anytime Model Selection in Linear BanditsCode0
Consistent model selection in the spiked Wigner model via AIC-type criteria—0
Adaptive debiased machine learning using data-driven model selection techniques—0
Fast Unsupervised Deep Outlier Model Selection with HypernetworksCode0
Self-Compatibility: Evaluating Causal Discovery without Ground TruthCode1
Towards a performance analysis on pre-trained Visual Question Answering models for autonomous drivingCode0
An Empirical Study of Pre-trained Model Selection for Out-of-Distribution Generalization and CalibrationCode0
The Interpolating Information Criterion for Overparameterized Models—0
Sparsified Simultaneous Confidence Intervals for High-Dimensional Linear Models—0
DataAssist: A Machine Learning Approach to Data Cleaning and Preparation—0
Risk Controlled Image RetrievalCode0
DSV: An Alignment Validation Loss for Self-supervised Outlier Model SelectionCode0
MF-CLIP: Leveraging CLIP as Surrogate Models for No-box Adversarial Attacks—0
Online Laplace Model Selection Revisited—0
Deep learning for dynamic graphs: models and benchmarksCode1
GujiBERT and GujiGPT: Construction of Intelligent Information Processing Foundation Language Models for Ancient Texts—0
Bayesian taut splines for estimating the number of modes—0
Action-State Dependent Dynamic Model Selection—0
Evaluating the Evaluators: Are Current Few-Shot Learning Benchmarks Fit for Purpose?—0
Learning Lie Group Symmetry Transformations with Neural NetworksCode0
CMA-ES for Post Hoc Ensembling in AutoML: A Great Success and Salvageable Failure—0
ProbVLM: Probabilistic Adapter for Frozen Vision-Language ModelsCode1
Proximal nested sampling with data-driven priors for physical scientistsCode1
Learned harmonic mean estimation of the marginal likelihood with normalizing flowsCode1
Evaluation of dynamic causal modelling and Bayesian model selection using simulations of networks of spiking neuronsCode0
Confidence-based Ensembles of End-to-End Speech Recognition Models—0
Efficient Model Selection for Predictive Pattern Mining Model by Safe Pattern Pruning—0
Generalized Low-Rank Update: Model Parameter Bounds for Low-Rank Training Data Modifications—0
Challenges and Opportunities in Improving Worst-Group Generalization in Presence of Spurious FeaturesCode1
Human Limits in Machine Learning: Prediction of Plant Phenotypes Using Soil Microbiome DataCode0
Confidence-Based Model Selection: When to Take Shortcuts for Subpopulation Shifts—0
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