Variational Lossy Autoencoder

ICLR, Volume abs/1611.02731, 2017.

Cited by: 431|Views213
EI
Weibo:
VLAE has the appealing properties of controllable representation learning and improved density estimation performance but these properties come at a cost: compared with variational autoencoder models that have simple prior and decoder, VLAE is slower at generation due to the sequ...

Abstract:

Representation learning seeks to expose certain aspects of observed data in a learned representation that's amenable to downstream tasks like classification. For instance, a good representation for 2D images might be one that describes only global structure and discards information about detailed texture. In this paper, we present a sim...More

Code:

Data:

0
Full Text
Bibtex
Weibo
Your rating :
0

 

Tags
Comments