"Y-Autoencoders: disentangling latent representations via sequential-encoding"
Patacchiola et al.: https://arxiv.org/abs/1907.10949
GitHub: https://github.com/mpatacchiola/Y-AE
#AutoEncoders #GenerativeModel #MachineLearning
Patacchiola et al.: https://arxiv.org/abs/1907.10949
GitHub: https://github.com/mpatacchiola/Y-AE
#AutoEncoders #GenerativeModel #MachineLearning
arXiv.org
Y-Autoencoders: disentangling latent representations via...
In the last few years there have been important advancements in generative models with the two dominant approaches being Generative Adversarial Networks (GANs) and Variational Autoencoders (VAEs)....
A Probabilistic Formulation of Unsupervised Text Style Transfer
He et al.: https://arxiv.org/abs/2002.03912
#DeepLearning #GenerativeModel #MachineLearning
He et al.: https://arxiv.org/abs/2002.03912
#DeepLearning #GenerativeModel #MachineLearning