SOTAVerified

Bayesian Inference

Bayesian Inference is a methodology that employs Bayes Rule to estimate parameters (and their full posterior).

Papers

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Showing 1741–1750 of 2226 papers

TitleStatusHype
COVID-19 detection using chest X-rays: is lung segmentation important for generalization?Code0
Probabilistic Latent Factor Model for Collaborative Filtering with Bayesian InferenceCode0
SoftCVI: Contrastive variational inference with self-generated soft labelsCode0
Dependent Multinomial Models Made Easy: Stick Breaking with the Pólya-Gamma AugmentationCode0
SoftDropConnect (SDC) -- Effective and Efficient Quantification of the Network Uncertainty in Deep MR Image AnalysisCode0
Leveraging Joint Predictive Embedding and Bayesian Inference in Graph Self Supervised LearningCode0
Leveraging joint sparsity in hierarchical Bayesian learningCode0
Leveraging Self-Consistency for Data-Efficient Amortized Bayesian InferenceCode0
Detecting structural perturbations from time series with deep learningCode0
Leveraging viscous Hamilton-Jacobi PDEs for uncertainty quantification in scientific machine learningCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1F-SWAAccuracy83.61—Unverified
2F-SWAGAccuracy80.93—Unverified