High-dimensional observations and unknown dynamics are major challenges ...
We propose an efficient inference method for switching nonlinear dynamic...
The recognition network in deep latent variable models such as variation...
The variational autoencoder (VAE) is a popular model for density estimat...
Domain adaptation refers to the problem of leveraging labeled data in a
...
The Dialog State Tracking Challenge 4 (DSTC 4) differentiates itself fro...
The Dialog State Tracking Challenge 4 (DSTC 4) proposes several pilot ta...
Deep architecture such as hierarchical semi-Markov models is an importan...
Inspired by the hierarchical hidden Markov models (HHMM), we present the...