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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
Label-Efficient Model Selection for Text Generation—0
Unsupervised Optimisation of GNNs for Node Clustering—0
Understanding Model Selection For Learning In Strategic Environments—0
Selective linear segmentation for detecting relevant parameter changes—0
Pretrained Generative Language Models as General Learning Frameworks for Sequence-Based Tasks—0
Tuning In: Analysis of Audio Classifier Performance in Clinical Settings with Limited Data—0
A Bandit Approach with Evolutionary Operators for Model Selection—0
A Bias-Variance Decomposition for Ensembles over Multiple Synthetic DatasetsCode0
Best Practices for Text Annotation with Large Language Models—0
Absolute convergence and error thresholds in non-active adaptive sampling—0
tnGPS: Discovering Unknown Tensor Network Structure Search Algorithms via Large Language Models (LLMs)Code0
Surfing the modeling of PoS taggers in low-resource scenarios—0
Data-driven model selection within the matrix completion method for causal panel data models—0
Efficient and Effective Time-Series Forecasting with Spiking Neural NetworksCode2
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
Is K-fold cross validation the best model selection method for Machine Learning?—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
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
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