SOTAVerified

Bayesian Inference

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

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1576–1600 of 2226 papers

TitleStatusHype
Specifying Weight Priors in Bayesian Deep Neural Networks with Empirical BayesCode0
Approximate Variational Inference Based on a Finite Sample of Gaussian Latent VariablesCode0
Bayesian Automatic Relevance Determination for Utility Function Specification in Discrete Choice Models—0
DropConnect Is Effective in Modeling Uncertainty of Bayesian Deep NetworksCode0
Fast and Simple Natural-Gradient Variational Inference with Mixture of Exponential-family ApproximationsCode0
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
Switching Linear Dynamics for Variational Bayes Filtering—0
Data Augementation with Polya Inverse Gamma—0
Accelerating Monte Carlo Bayesian Inference via Approximating Predictive Uncertainty over SimplexCode0
Unified Probabilistic Deep Continual Learning through Generative Replay and Open Set RecognitionCode0
Efficient Amortised Bayesian Inference for Hierarchical and Nonlinear Dynamical SystemsCode0
Walsh-Hadamard Variational Inference for Bayesian Deep Learning—0
Causal Discovery and Forecasting in Nonstationary Environments with State-Space Models—0
Variational Bayes: A report on approaches and applications—0
HINT: Hierarchical Invertible Neural Transport for Density Estimation and Bayesian InferenceCode0
Decentralized Bayesian Learning over Graphs—0
Show:102550
← PrevPage 64 of 90Next →

Benchmark Results

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