Leveraging Generative Models for Unsupervised Alignment of Neural Time Series Data.
Ayesha VermaniIl Memming ParkJosue NassarPublished in: ICLR (2024)
Keyphrases
- generative model
- semi supervised
- probabilistic model
- unsupervised learning
- mixture model
- em algorithm
- neural network
- discriminative learning
- discriminative models
- deep belief networks
- supervised learning
- conditional random fields
- prior knowledge
- latent dirichlet allocation
- object categories
- semi supervised learning
- hidden variables
- hierarchical hidden markov models
- topic models
- high dimensional
- pairwise
- weakly supervised
- word alignment
- maximum entropy principle
- discriminative methods
- machine learning
- expectation maximization
- pairwise constraints
- training set
- bayesian networks
- restricted boltzmann machine
- computer vision