Learning Structured Output Representations from Attributes using Deep Conditional Generative Models.
Mohamed DebbaghPublished in: CoRR (2023)
Keyphrases
- discriminative learning
- structured output
- generative model
- deep belief networks
- prior knowledge
- learning process
- structured prediction
- maximum margin
- probabilistic model
- conditional random fields
- hidden variables
- learning problems
- supervised learning
- em algorithm
- learning algorithm
- posterior probability
- maximum likelihood
- multi task learning
- weakly supervised
- multi class
- hidden markov models
- latent variable models
- pairwise
- reinforcement learning