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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 551–575 of 2050 papers

TitleStatusHype
One For All & All For One: Bypassing Hyperparameter Tuning with Model Averaging For Cross-Lingual TransferCode0
Model Selection of Anomaly Detectors in the Absence of Labeled Validation Data—0
RoboLLM: Robotic Vision Tasks Grounded on Multimodal Large Language ModelsCode1
IW-GAE: Importance Weighted Group Accuracy Estimation for Improved Calibration and Model Selection in Unsupervised Domain Adaptation—0
Target Variable Engineering—0
To token or not to token: A Comparative Study of Text Representations for Cross-Lingual TransferCode0
Towards Robust Multi-Modal Reasoning via Model SelectionCode1
On the Computational Complexity of Private High-dimensional Model SelectionCode0
Risk Aware Benchmarking of Large Language Models—0
Transformers for Green Semantic Communication: Less Energy, More SemanticsCode0
Democratizing LLMs: An Exploration of Cost-Performance Trade-offs in Self-Refined Open-Source Models—0
Rethinking Model Selection and Decoding for Keyphrase Generation with Pre-trained Sequence-to-Sequence ModelsCode1
SC-Safety: A Multi-round Open-ended Question Adversarial Safety Benchmark for Large Language Models in Chinese—0
Exploring the Maze of Multilingual Modeling—0
A Symmetry-based Framework for Model Selection of Coral Reef Population Growth Models—0
Combining UPerNet and ConvNeXt for Contrails Identification to reduce Global WarmingCode0
Test-Time Adaptation Induces Stronger Accuracy and Agreement-on-the-Line—0
Understanding prompt engineering may not require rethinking generalization—0
Driver Identification by an Ensemble of CNNs Obtained from Majority-Voting Model SelectionCode0
A ModelOps-based Framework for Intelligent Medical Knowledge Extraction—0
Tuning Large language model for End-to-end Speech Translation—0
LaPLACE: Probabilistic Local Model-Agnostic Causal ExplanationsCode0
Dynamic Interpretability for Model Comparison via Decision RulesCode0
Structural Risk Minimization for Learning Nonlinear Dynamics—0
Wave-shape Function Model Order Estimation by Trigonometric Regression—0
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