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 1541–1550 of 2226 papers

TitleStatusHype
A Concept Learning Approach to Multisensory Object Perception—0
Active Exploration based on Information Gain by Particle Filter for Efficient Spatial Concept Formation—0
Active Exploration in Bayesian Model-based Reinforcement Learning for Robot Manipulation—0
Active inference and deep generative modeling for cognitive ultrasound—0
Active Inference in Robotics and Artificial Agents: Survey and Challenges—0
Active pooling design in group testing based on Bayesian posterior prediction—0
Active recursive Bayesian inference using Rényi information measures—0
Adams Conditioning and Likelihood Ratio Transfer Mediated Inference—0
Adaptive Degradation Process with Deep Learning-Driven Trajectory—0
Adaptive Dimension Reduction and Variational Inference for Transductive Few-Shot Classification—0
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Benchmark Results

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