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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 1–50 of 2050 papers

TitleStatusHype
HuggingGPT: Solving AI Tasks with ChatGPT and its Friends in Hugging FaceCode6
aeon: a Python toolkit for learning from time seriesCode5
MOSPAT: AutoML based Model Selection and Parameter Tuning for Time Series Anomaly DetectionCode5
M-Prometheus: A Suite of Open Multilingual LLM JudgesCode5
TabReD: Analyzing Pitfalls and Filling the Gaps in Tabular Deep Learning BenchmarksCode4
ChainForge: A Visual Toolkit for Prompt Engineering and LLM Hypothesis TestingCode4
INTERS: Unlocking the Power of Large Language Models in Search with Instruction TuningCode3
Uni-QSAR: an Auto-ML Tool for Molecular Property PredictionCode3
AD-AGENT: A Multi-agent Framework for End-to-end Anomaly DetectionCode2
scikit-fda: A Python Package for Functional Data AnalysisCode2
Source-Free Domain Adaptation for YOLO Object DetectionCode2
LoTa-Bench: Benchmarking Language-oriented Task Planners for Embodied AgentsCode2
The CAST package for training and assessment of spatial prediction models in RCode2
FinTSB: A Comprehensive and Practical Benchmark for Financial Time Series ForecastingCode2
Out-of-sample scoring and automatic selection of causal estimatorsCode2
Router-R1: Teaching LLMs Multi-Round Routing and Aggregation via Reinforcement LearningCode2
LHRS-Bot-Nova: Improved Multimodal Large Language Model for Remote Sensing Vision-Language InterpretationCode2
Idea23D: Collaborative LMM Agents Enable 3D Model Generation from Interleaved Multimodal InputsCode2
Peeling Back the Layers: An In-Depth Evaluation of Encoder Architectures in Neural News RecommendersCode2
Specializing Smaller Language Models towards Multi-Step ReasoningCode2
The future of cosmological likelihood-based inference: accelerated high-dimensional parameter estimation and model comparisonCode2
BSD: a Bayesian framework for parametric models of neural spectraCode2
IoT Data Analytics in Dynamic Environments: From An Automated Machine Learning PerspectiveCode2
Foundational Large Language Models for Materials ResearchCode2
Efficient and Effective Time-Series Forecasting with Spiking Neural NetworksCode2
DeepDPM: Deep Clustering With an Unknown Number of ClustersCode2
Encoder vs Decoder: Comparative Analysis of Encoder and Decoder Language Models on Multilingual NLU TasksCode2
Optimizing Model Selection for Compound AI SystemsCode2
A network approach to topic modelsCode1
A new family of Constitutive Artificial Neural Networks towards automated model discoveryCode1
CNN Model & Tuning for Global Road Damage DetectionCode1
An Asymptotically Optimal Multi-Armed Bandit Algorithm and Hyperparameter OptimizationCode1
abess: A Fast Best Subset Selection Library in Python and RCode1
clusterBMA: Bayesian model averaging for clusteringCode1
Conditional Matrix Flows for Gaussian Graphical ModelsCode1
cegpy: Modelling with Chain Event Graphs in PythonCode1
Change is Hard: A Closer Look at Subpopulation ShiftCode1
Can We Characterize Tasks Without Labels or Features?Code1
An information criterion for automatic gradient tree boostingCode1
Cardea: An Open Automated Machine Learning Framework for Electronic Health RecordsCode1
Chaos is a Ladder: A New Theoretical Understanding of Contrastive Learning via Augmentation OverlapCode1
Convolutional Neural Networks for Classification of Alzheimer's Disease: Overview and Reproducible EvaluationCode1
A General Model for Aggregating Annotations Across Simple, Complex, and Multi-Object Annotation TasksCode1
Benchmark Self-Evolving: A Multi-Agent Framework for Dynamic LLM EvaluationCode1
AD-LLM: Benchmarking Large Language Models for Anomaly DetectionCode1
A Concise yet Effective model for Non-Aligned Incomplete Multi-view and Missing Multi-label LearningCode1
Adversarial Branch Architecture Search for Unsupervised Domain AdaptationCode1
Brainomaly: Unsupervised Neurologic Disease Detection Utilizing Unannotated T1-weighted Brain MR ImagesCode1
Cal-SFDA: Source-Free Domain-adaptive Semantic Segmentation with Differentiable Expected Calibration ErrorCode1
BERTScore: Evaluating Text Generation with BERTCode1
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