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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 151–175 of 2050 papers

TitleStatusHype
Evading the Simplicity Bias: Training a Diverse Set of Models Discovers Solutions with Superior OOD GeneralizationCode1
Unsupervised Offline Changepoint Detection EnsemblesCode1
Where and What? Examining Interpretable Disentangled RepresentationsCode1
OTCE: A Transferability Metric for Cross-Domain Cross-Task RepresentationsCode1
Modeling the Second Player in Distributionally Robust OptimizationCode1
CNN Model & Tuning for Global Road Damage DetectionCode1
LogME: Practical Assessment of Pre-trained Models for Transfer LearningCode1
Adversarial Branch Architecture Search for Unsupervised Domain AdaptationCode1
CascadeBERT: Accelerating Inference of Pre-trained Language Models via Calibrated Complete Models CascadeCode1
Robustness of Accuracy Metric and its Inspirations in Learning with Noisy LabelsCode1
Task-Agnostic Amortized Inference of Gaussian Process HyperparametersCode1
A Survey and Implementation of Performance Metrics for Self-Organized MapsCode1
Online Active Model Selection for Pre-trained ClassifiersCode1
Cardea: An Open Automated Machine Learning Framework for Electronic Health RecordsCode1
Automating Outlier Detection via Meta-LearningCode1
An information criterion for automatic gradient tree boostingCode1
Machine Learning for Dynamic Resource Allocation in Network Function VirtualizationCode1
Duality Diagram Similarity: a generic framework for initialization selection in task transfer learningCode1
Tighter risk certificates for neural networksCode1
Extended Stochastic Block Models with Application to Criminal NetworksCode1
An Asymptotically Optimal Multi-Armed Bandit Algorithm and Hyperparameter OptimizationCode1
Robust pricing and hedging via neural SDEsCode1
Evaluation for Weakly Supervised Object Localization: Protocol, Metrics, and DatasetsCode1
Estimating Generalization under Distribution Shifts via Domain-Invariant RepresentationsCode1
In Search of Lost Domain GeneralizationCode1
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