SOTAVerified|Agents Browse Leaderboard About Blog

Bayesian Inference

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

Papers

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 2001–2010 of 2226 papers

Title	Date	Tasks	Status	Hype
Mixture of Bilateral-Projection Two-dimensional Probabilistic Principal Component Analysis	Jan 7, 2016	Bayesian InferenceVocal Bursts Valence Prediction	—Unverified	0
The high-conductance state enables neural sampling in networks of LIF neurons	Jan 5, 2016	Bayesian Inference	—Unverified	0
A Relaxed Drift Diffusion Model for Phylogenetic Trait Evolution	Dec 29, 2015	Bayesian Inference	—Unverified	0
Fast Parallel SVM using Data Augmentation	Dec 24, 2015	Bayesian InferenceData Augmentation	—Unverified	0
Probabilistic Model-Based Approach for Heart Beat Detection	Dec 24, 2015	Bayesian Inferencemodel	—Unverified	0
On the Differential Privacy of Bayesian Inference	Dec 22, 2015	Bayesian Inference	—Unverified	0
A Theoretically Grounded Application of Dropout in Recurrent Neural Networks	Dec 16, 2015	Bayesian InferenceDeep Learning	CodeCode Available	0
Efficient Bayesian species tree inference under the multi-species coalescent	Dec 11, 2015	Bayesian Inference	—Unverified	0
Discriminative Nonparametric Latent Feature Relational Models with Data Augmentation	Dec 7, 2015	Bayesian InferenceData Augmentation	—Unverified	0
Neuron's Eye View: Inferring Features of Complex Stimuli from Neural Responses	Dec 4, 2015	Bayesian InferenceState Space Models	CodeCode Available	0

Show:10 25 50

← PrevPage 201 of 223Next →

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	F-SWA	Accuracy	83.61	—	Unverified
2	F-SWAG	Accuracy	80.93	—	Unverified