Building models that can be rapidly adapted to numerous tasks using only...
In this paper we propose a new generative model of text, Step-unrolled
D...
Fine-grained estimation of galaxy merger stages from observations is a k...
Modern text-to-speech synthesis pipelines typically involve multiple
pro...
Generative adversarial networks have seen rapid development in recent ye...
Unsupervised domain transfer is the task of transferring or translating
...
We propose a principled method for gradient-based regularization of the
...
We investigate the training and performance of generative adversarial
ne...