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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 101–150 of 2050 papers

TitleStatusHype
Collab: Controlled Decoding using Mixture of Agents for LLM Alignment—0
Advancements in Natural Language Processing: Exploring Transformer-Based Architectures for Text Understanding—0
Face Spoofing Detection using Deep LearningCode0
Machine Learning - Driven Materials Discovery: Unlocking Next-Generation Functional Materials -- A minireview—0
Patch-based learning of adaptive Total Variation parameter maps for blind image denoising—0
Benchmarking Open-Source Large Language Models on Healthcare Text Classification Tasks—0
Sepsyn-OLCP: An Online Learning-based Framework for Early Sepsis Prediction with Uncertainty Quantification using Conformal PredictionCode0
Comparative and Interpretative Analysis of CNN and Transformer Models in Predicting Wildfire Spread Using Remote Sensing DataCode0
KDSelector: A Knowledge-Enhanced and Data-Efficient Model Selector Learning Framework for Time Series Anomaly DetectionCode0
End-to-End Edge AI Service Provisioning Framework in 6G ORAN—0
Unreflected Use of Tabular Data Repositories Can Undermine Research Quality—0
ReLATE: Resilient Learner Selection for Multivariate Time-Series Classification Against Adversarial Attacks—0
Conformal Prediction with Upper and Lower Bound Models—0
Network Traffic Classification Using Machine Learning, Transformer, and Large Language Models—0
Evaluating Stenosis Detection with Grounding DINO, YOLO, and DINO-DETR—0
Ranking pre-trained segmentation models for zero-shot transferability—0
BadJudge: Backdoor Vulnerabilities of LLM-as-a-Judge—0
Multi-model Stochastic Particle-based Variational Bayesian Inference for Multiband Delay Estimation—0
Forecasting Whole-Brain Neuronal Activity from Volumetric Video—0
Understanding the Limits of Deep Tabular Methods with Temporal Shift—0
Extremely Greedy Equivalence SearchCode0
FinTSB: A Comprehensive and Practical Benchmark for Financial Time Series ForecastingCode2
Validating the predictions of mathematical models describing tumor growth and treatment response—0
Independent Mobility GPT (IDM-GPT): A Self-Supervised Multi-Agent Large Language Model Framework for Customized Traffic Mobility Analysis Using Machine Learning Models—0
Towards Typologically Aware Rescoring to Mitigate Unfaithfulness in Lower-Resource Languages—0
Capability Instruction Tuning: A New Paradigm for Dynamic LLM RoutingCode0
Subsampling Graphs with GNN Performance Guarantees—0
Multilevel classification framework for breast cancer cell selection and its integration with advanced disease models—0
Network Resource Optimization for ML-Based UAV Condition Monitoring with Vibration Analysis—0
biastest: Testing parameter equality across different models in Stata—0
Moshi Moshi? A Model Selection Hijacking Adversarial Attack—0
Optimizing Model Selection for Compound AI SystemsCode2
Can LLMs Predict Citation Intent? An Experimental Analysis of In-context Learning and Fine-tuning on Open LLMsCode0
OpenSearch-SQL: Enhancing Text-to-SQL with Dynamic Few-shot and Consistency Alignment—0
Beyond One-Size-Fits-All: Tailored Benchmarks for Efficient EvaluationCode0
SafeRoute: Adaptive Model Selection for Efficient and Accurate Safety Guardrails in Large Language ModelsCode0
Model selection for behavioral learning data and applications to contextual bandits—0
The Majority Vote Paradigm Shift: When Popular Meets Optimal—0
On Creating a Causally Grounded Usable Rating Method for Assessing the Robustness of Foundation Models Supporting Time Series—0
Enhancing Offline Model-Based RL via Active Model Selection: A Bayesian Optimization Perspective—0
Quantifying the Capability Boundary of DeepSeek Models: An Application-Driven Performance Analysis—0
Unveiling Environmental Impacts of Large Language Model Serving: A Functional Unit ViewCode0
Realistic Evaluation of Deep Partial-Label Learning Algorithms—0
An Innovative Next Activity Prediction Approach Using Process Entropy and DAW-Transformer—0
Benchmarking the rationality of AI decision making using the transitivity axiom—0
Near-Field Localization with Physics-Compliant Electromagnetic Model: Algorithms and Model Mismatch Analysis—0
Capitalizing on a Crisis: A Computational Analysis of all Five Million British Firms During the Covid-19 Pandemic—0
The Paradox of Stochasticity: Limited Creativity and Computational Decoupling in Temperature-Varied LLM Outputs of Structured Fictional Data—0
Causal Covariate Shift Correction using Fisher information penalty—0
Model Selection for Off-policy Evaluation: New Algorithms and Experimental Protocol—0
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