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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 251–300 of 2050 papers

TitleStatusHype
Towards Unsupervised Validation of Anomaly-Detection Models—0
Transformers4NewsRec: A Transformer-based News Recommendation Framework—0
All models are wrong, some are useful: Model Selection with Limited LabelsCode0
A Human-in-the-Loop Fairness-Aware Model Selection Framework for Complex Fairness Objective LandscapesCode0
ORSO: Accelerating Reward Design via Online Reward Selection and Policy OptimizationCode0
DiffGAN: A Test Generation Approach for Differential Testing of Deep Neural Networks—0
A Unified Approach to Routing and Cascading for LLMs—0
Impact of Missing Values in Machine Learning: A Comprehensive Analysis—0
Decision-Aware Predictive Model Selection for Workforce Allocation—0
Noether's razor: Learning Conserved QuantitiesCode1
UniAutoML: A Human-Centered Framework for Unified Discriminative and Generative AutoML with Large Language ModelsCode0
Leveraging free energy in pretraining model selection for improved fine-tuning—0
Parameter Choice and Neuro-Symbolic Approaches for Deep Domain-Invariant Learning—0
Trained Models Tell Us How to Make Them Robust to Spurious Correlation without Group AnnotationCode0
SePPO: Semi-Policy Preference Optimization for Diffusion AlignmentCode1
LLMProxy: Reducing Cost to Access Large Language Models—0
Determine-Then-Ensemble: Necessity of Top-k Union for Large Language Model Ensembling—0
MLP-KAN: Unifying Deep Representation and Function LearningCode0
OOD-Chameleon: Is Algorithm Selection for OOD Generalization Learnable?—0
Domain-Specific Retrieval-Augmented Generation Using Vector Stores, Knowledge Graphs, and Tensor Factorization—0
On discretely structured growth models and their moments—0
Thermodynamic Bayesian Inference—0
Peeling Back the Layers: An In-Depth Evaluation of Encoder Architectures in Neural News RecommendersCode2
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
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 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
Foundation of Calculating Normalized Maximum Likelihood for Continuous Probability Models—0
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 Systems—0
LLM Honeypot: Leveraging Large Language Models as Advanced Interactive Honeypot SystemsCode0
MEDIC: Towards a Comprehensive Framework for Evaluating LLMs in Clinical Applications—0
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 Discussions—0
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 conditions—0
On the Effects of Modeling on the Sim-to-Real Transfer Gap in Twinning the POWDER Platform—0
Show:102550
← PrevPage 6 of 41Next →

No leaderboard results yet.