Preventing posterior collapse in variational autoencoders for text generation via decoder regularization.
Alban PetitCaio CorroPublished in: CoRR (2021)
Keyphrases
- text generation
- denoising
- natural language generation
- total variation regularization
- variational formulation
- variational framework
- natural language
- image segmentation
- image denoising
- total variation
- probabilistic model
- gaussian process
- regularization parameter
- robust statistics
- probability distribution
- posterior distribution
- prior information
- posterior probability
- low complexity
- theorem prover
- error concealment
- variational methods
- level set
- bayesian framework
- generative model
- bayesian networks
- smoothness term
- data mining
- energy functional
- natural language processing
- restricted boltzmann machine