Andrew Stevens
4 papers · 2016–2017 · 3 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
Jump to papers ↓
🌍
Conference Polyglot · Bronze
🌉
Interdisciplinary Bridge · Bronze
🗺️
Taxonomy Completionist
(16)
🐣
Hot Topic Early Bird
🧭
Keyword Pioneer
Venues
Top co-authors
Research topics
Machine Learning
(4)
Computer Vision
(3)
Deep Learning
(3)
Core Methods
(3)
Models
(3)
Architectures
(2)
Artificial Intelligence
(1)
Analysis
(1)
Application Areas
(1)
Bayesian & Probabilistic · Artificial Intelligence
(1)
Bayesian & Probabilistic · Machine Learning
(1)
Generation
(1)
Learning Types
(1)
Optimization & Theory
(1)
Processing
(1)
Keywords
convolutional neural network
(2)
image generation
(2)
image classification
(2)
dictionary learning
(2)
tensor decomposition
(1)
shape recognition
(1)
blind inpainting
(1)
variational autoencoder
(1)
deep generative model
(1)
bayesian deep learning
(1)
convolutional dictionary learning
(1)
bayesian support vector machine
(1)
deconvolutional inference
(1)
monte carlo expectation maximization
(1)
weight uncertainty
(1)
latent code
(1)
deconvolutional network
(1)
shape classification
(1)
stochastic gradient mcmc
(1)
monte carlo em
(1)
Papers
Tensor-Dictionary Learning with Deep Kruskal-Factor Analysis
AISTATS 2017
A Deep Generative Deconvolutional Image Model
AISTATS 2016
Learning Weight Uncertainty With Stochastic Gradient MCMC for Shape Classification
CVPR 2016
Variational Autoencoder for Deep Learning of Images, Labels and Captions
NeurIPS 2016