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

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Showing 101–150 of 2050 papers

TitleStatusHype
Cal-SFDA: Source-Free Domain-adaptive Semantic Segmentation with Differentiable Expected Calibration ErrorCode1
Learning Opinion Dynamics From Social TracesCode1
Cardea: An Open Automated Machine Learning Framework for Electronic Health RecordsCode1
cegpy: Modelling with Chain Event Graphs in PythonCode1
Evaluation for Weakly Supervised Object Localization: Protocol, Metrics, and DatasetsCode1
LOVM: Language-Only Vision Model SelectionCode1
Extended Stochastic Block Models with Application to Criminal NetworksCode1
mikropml: User-Friendly R Package for Supervised Machine Learning PipelinesCode1
Change is Hard: A Closer Look at Subpopulation ShiftCode1
Chaos is a Ladder: A New Theoretical Understanding of Contrastive Learning via Augmentation OverlapCode1
A network approach to topic modelsCode1
A stacked deep convolutional neural network to predict the remaining useful life of a turbofan engineCode1
abess: A Fast Best Subset Selection Library in Python and RCode1
clusterBMA: Bayesian model averaging for clusteringCode1
NICO++: Towards Better Benchmarking for Domain GeneralizationCode1
NLP-ADBench: NLP Anomaly Detection BenchmarkCode1
OBOE: Collaborative Filtering for AutoML Model SelectionCode1
One Network to Segment Them All: A General, Lightweight System for Accurate 3D Medical Image SegmentationCode1
Counterfactual Learning of Stochastic Policies with Continuous Actions: from Models to Offline EvaluationCode1
Efficient End-to-End AutoML via Scalable Search Space DecompositionCode1
Conditional Matrix Flows for Gaussian Graphical ModelsCode1
DriveML: An R Package for Driverless Machine LearningCode1
Convolutional Neural Networks for Classification of Alzheimer's Disease: Overview and Reproducible EvaluationCode1
DeSocial: Blockchain-based Decentralized Social NetworksCode1
Population Based Training of Neural NetworksCode1
ProbVLM: Probabilistic Adapter for Frozen Vision-Language ModelsCode1
Duality Diagram Similarity: a generic framework for initialization selection in task transfer learningCode1
Empirical Analysis of Model Selection for Heterogeneous Causal Effect EstimationCode1
Deep Learning Algorithms for Rotating Machinery Intelligent Diagnosis: An Open Source Benchmark StudyCode1
Deep learning for dynamic graphs: models and benchmarksCode1
CascadeBERT: Accelerating Inference of Pre-trained Language Models via Calibrated Complete Models CascadeCode1
An Asymptotically Optimal Multi-Armed Bandit Algorithm and Hyperparameter OptimizationCode1
Deep Domain Confusion: Maximizing for Domain InvarianceCode1
Deep Reinforcement Model Selection for Communications Resource Allocation in On-Site Medical CareCode1
DEPARA: Deep Attribution Graph for Deep Knowledge TransferabilityCode1
AQuA: A Benchmarking Tool for Label Quality AssessmentCode1
DisastIR: A Comprehensive Information Retrieval Benchmark for Disaster ManagementCode1
Distributed Out-of-Memory NMF on CPU/GPU ArchitecturesCode1
Assumption-lean inference for generalised linear model parametersCode1
A stacked DCNN to predict the RUL of a turbofan engineCode1
Data Models for Dataset Drift Controls in Machine Learning With Optical ImagesCode1
A Survey and Implementation of Performance Metrics for Self-Organized MapsCode1
Data-IQ: Characterizing subgroups with heterogeneous outcomes in tabular dataCode1
A new family of Constitutive Artificial Neural Networks towards automated model discoveryCode1
Ensemble of Averages: Improving Model Selection and Boosting Performance in Domain GeneralizationCode1
AutoBencher: Creating Salient, Novel, Difficult Datasets for Language ModelsCode1
Estimating Generalization under Distribution Shifts via Domain-Invariant RepresentationsCode1
An information criterion for automatic gradient tree boostingCode1
Evaluating Language Models as Synthetic Data GeneratorsCode1
Data Splits and Metrics for Method Benchmarking on Surgical Action Triplet DatasetsCode1
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