SOTAVerified

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

Showing 276300 of 2050 papers

TitleStatusHype
Factors in Fashion: Factor Analysis towards the Mode0
MCUBench: A Benchmark of Tiny Object Detectors on MCUs0
Efficient Bias Mitigation Without Privileged Information0
Source-Free Domain Adaptation for YOLO Object DetectionCode2
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 Inference0
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 Reports0
Model Selection Through Model Sorting0
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 scheme0
Foundation of Calculating Normalized Maximum Likelihood for Continuous Probability Models0
E-QUARTIC: Energy Efficient Edge Ensemble of Convolutional Neural Networks for Resource-Optimized LearningCode0
Multi-Model based Federated Learning Against Model Poisoning Attack: A Deep Learning Based Model Selection for MEC Systems0
LLM Honeypot: Leveraging Large Language Models as Advanced Interactive Honeypot SystemsCode0
MEDIC: Towards a Comprehensive Framework for Evaluating LLMs in Clinical Applications0
Zero-shot Outlier Detection via Prior-data Fitted Networks: Model Selection Bygone!0
Triple equivalence for the emergence of biological intelligenceCode1
Towards Safer Online Spaces: Simulating and Assessing Intervention Strategies for Eating Disorder Discussions0
Towards Autonomous Cybersecurity: An Intelligent AutoML Framework for Autonomous Intrusion DetectionCode1
On the effectiveness of smartphone IMU sensors and Deep Learning in the detection of cardiorespiratory conditions0
On the Effects of Modeling on the Sim-to-Real Transfer Gap in Twinning the POWDER Platform0
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