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 1101–1125 of 2226 papers

TitleStatusHype
Prediction Uncertainty Estimation for Hate Speech Classification—0
Predictive Approximate Bayesian Computation via Saddle Points—0
Predictive coding and stochastic resonance as fundamental principles of auditory perception—0
Predictive Coding Networks and Inference Learning: Tutorial and Survey—0
Predictive Coding Theories of Cortical Function—0
Improving Predictive Uncertainty Estimation using Dropout -- Hamiltonian Monte Carlo—0
Predictive Uncertainty Quantification with Compound Density Networks—0
Primitive-based Shape Abstraction via Nonparametric Bayesian Inference—0
Towards Principled Uncertainty Estimation for Deep Neural Networks—0
Priors in Bayesian Deep Learning: A Review—0
PRISM: Probabilistic Real-Time Inference in Spatial World Models—0
Privacy Amplification Via Bernoulli Sampling—0
Probabilistic Block Term Decomposition for the Modelling of Higher-Order Arrays—0
Probabilistic CCA with Implicit Distributions—0
Probabilistic Deep Learning with Generalised Variational Inference—0
Probabilistic Inference for Learning from Untrusted Sources—0
Probabilistic Inference of Simulation Parameters via Parallel Differentiable Simulation—0
Probabilistic inverse reinforcement learning in unknown environments—0
Probabilistic inverse reinforcement learning in unknown environments—0
Probabilistic Model-Based Approach for Heart Beat Detection—0
Probabilistic Model Checking of Robots Deployed in Extreme Environments—0
Probabilistic model predictive safety certification for learning-based control—0
Probabilistic Object Classification using CNN ML-MAP layers—0
Probabilistic Position-Aided Beam Selection for mmWave MIMO Systems—0
Probabilistic Reasoning across the Causal Hierarchy—0
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Benchmark Results

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