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 1751–1760 of 2226 papers

TitleStatusHype
Bayesian Eye Tracking—0
Bayesian feature selection with strongly-regularizing priors maps to the Ising Model—0
Bayesian Deep Learning Via Expectation Maximization and Turbo Deep Approximate Message Passing—0
Bayesian Federated Model Compression for Communication and Computation Efficiency—0
Bayesian Flow Networks in Continual Learning—0
Bayesian geoacoustic inversion using mixture density network—0
Bayesian Graph Convolutional Neural Networks Using Non-Parametric Graph Learning—0
Bayesian Graph Convolution LSTM for Skeleton Based Action Recognition—0
Bayesian Hypernetworks—0
Bayesian Image Quality Transfer with CNNs: Exploring Uncertainty in dMRI Super-Resolution—0
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Benchmark Results

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