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 1581–1590 of 2226 papers

TitleStatusHype
Hierarchical Bayesian myocardial perfusion quantification—0
Variational Inference for Graph Convolutional Networks in the Absence of Graph Data and Adversarial SettingsCode0
Bayesian Inference Semantics: A Modelling System and A Test SuiteCode0
Sparse Bayesian Learning Approach for Discrete Signal Reconstruction—0
Generalizing Eye Tracking With Bayesian Adversarial Learning—0
Bayesian Hierarchical Dynamic Model for Human Action RecognitionCode0
Greedy inference with structure-exploiting lazy mapsCode0
Cross-modal Variational Auto-encoder with Distributed Latent Spaces and Associators—0
Learning to Balance: Bayesian Meta-Learning for Imbalanced and Out-of-distribution TasksCode0
Fast and Robust Rank Aggregation against Model MisspecificationCode0
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Benchmark Results

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