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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 451–475 of 2050 papers

TitleStatusHype
Parameter Choice and Neuro-Symbolic Approaches for Deep Domain-Invariant Learning—0
Leveraging free energy in pretraining model selection for improved fine-tuning—0
Trained Models Tell Us How to Make Them Robust to Spurious Correlation without Group AnnotationCode0
LLMProxy: Reducing Cost to Access Large Language Models—0
MLP-KAN: Unifying Deep Representation and Function LearningCode0
Domain-Specific Retrieval-Augmented Generation Using Vector Stores, Knowledge Graphs, and Tensor Factorization—0
OOD-Chameleon: Is Algorithm Selection for OOD Generalization Learnable?—0
Determine-Then-Ensemble: Necessity of Top-k Union for Large Language Model Ensembling—0
Thermodynamic Bayesian Inference—0
On discretely structured growth models and their moments—0
Model Selection with a Shapelet-based Distance Measure for Multi-source Transfer Learning in Time Series ClassificationCode0
InfantCryNet: A Data-driven Framework for Intelligent Analysis of Infant Cries—0
Factors in Fashion: Factor Analysis towards the Mode—0
MCUBench: A Benchmark of Tiny Object Detectors on MCUs—0
Efficient Bias Mitigation Without Privileged Information—0
Scalable Ensemble Diversification for OOD Generalization and DetectionCode0
Leveraging Estimated Transferability Over Human Intuition for Model Selection in Text RankingCode0
Eagle: Efficient Training-Free Router for Multi-LLM Inference—0
PARAPHRASUS : A Comprehensive Benchmark for Evaluating Paraphrase Detection ModelsCode0
Decomposing Gaussians with Unknown CovarianceCode0
AALF: Almost Always Linear ForecastingCode0
Language Models and Retrieval Augmented Generation for Automated Structured Data Extraction from Diagnostic Reports—0
Model Selection Through Model Sorting—0
Guiding Vision-Language Model Selection for Visual Question-Answering Across Tasks, Domains, and Knowledge TypesCode0
Rational-WENO: A lightweight, physically-consistent three-point weighted essentially non-oscillatory scheme—0
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