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 351–375 of 2050 papers

TitleStatusHype
Exploring Human-in-the-Loop Test-Time Adaptation by Synergizing Active Learning and Model SelectionCode0
Fast and Informative Model Selection using Learning Curve Cross-ValidationCode0
Anytime Model Selection in Linear BanditsCode0
Bolasso: model consistent Lasso estimation through the bootstrapCode0
A Normative Theory for Causal Inference and Bayes Factor Computation in Neural CircuitsCode0
fETSmcs: Feature-based ETS model component selectionCode0
A Personalized Framework for Consumer and Producer Group Fairness Optimization in Recommender SystemsCode0
FIESTA: Fast IdEntification of State-of-The-Art models using adaptive bandit algorithmsCode0
Beyond Benchmarks: Evaluating Embedding Model Similarity for Retrieval Augmented Generation SystemsCode0
Better Teacher Better Student: Dynamic Prior Knowledge for Knowledge DistillationCode0
A Deep Neural Network Surrogate Modeling Benchmark for Temperature Field Prediction of Heat Source LayoutCode0
Evaluating Large Language Models as Generative User Simulators for Conversational RecommendationCode0
Free Lunch: Robust Cross-Lingual Transfer via Model Checkpoint AveragingCode0
A non-asymptotic approach for model selection via penalization in high-dimensional mixture of experts modelsCode0
Gaussian Process Subspace Regression for Model ReductionCode0
GeMID: Generalizable Models for IoT Device IdentificationCode0
GestureGPT: Toward Zero-Shot Free-Form Hand Gesture Understanding with Large Language Model AgentsCode0
A Deep Learning Method for Comparing Bayesian Hierarchical ModelsCode0
Granger Causal Inference in Multivariate Hawkes Processes by Minimum Message LengthCode0
E-QUARTIC: Energy Efficient Edge Ensemble of Convolutional Neural Networks for Resource-Optimized LearningCode0
Estimating Individual Treatment Effects using Non-Parametric Regression Models: a ReviewCode0
Guiding Vision-Language Model Selection for Visual Question-Answering Across Tasks, Domains, and Knowledge TypesCode0
CaloFlow: Fast and Accurate Generation of Calorimeter Showers with Normalizing FlowsCode0
Evaluating LLP Methods: Challenges and ApproachesCode0
Best Arm Identification for Stochastic Rising BanditsCode0
Show:102550
← PrevPage 15 of 82Next →

No leaderboard results yet.