Bayesian deep learning - Deep Bayesian learning papers

Below is a list of papers with Bayesian deep learning - Deep Bayesian learning flavour. 
Thanks to Hongliang for the references.

Preferred list

Gaussian Process Behaviour in Wide Deep Neural Networks

Bayesian Conditional Generative Adverserial Networks

Adversarial Variational Bayes: Unifying Variational Autoencoders and Generative Adversarial Networks

Stick-Breaking Variational Autoencoders

A Bayesian encourages dropout

Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning

Bayesian GAN

Deep Learning: A Bayesian Perspective

Towards Bayesian Deep Learning: A Survey

Optional list

Deep Gaussian Processes

Deep Multi-task Gaussian Processes for Survival Analysis with Competing Risks

A Nonparametric Bayesian Approach Toward Stacked Convolutional Independent Component Analysis

Deep Unsupervised Clustering with Gaussian Mixture Variational Autoencoders

Bayesian SegNet: Model Uncertainty in Deep Convolutional Encoder-Decoder Architectures for Scene Understanding

Nonparametric Variational Auto-encoders for Hierarchical Representation Learning

Variational Deep Embedding: An Unsupervised and Generative Approach to Clustering

Variational Dropout and the Local Reparameterization Trick

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Students_presentations.zip
(7762k)
Julyan Arbel,
Mar 19, 2018, 6:08 AM