Learning Energy-Based Approximate Inference Networks for Structured Applications in NLP.
Lifu TuPublished in: CoRR (2021)
Keyphrases
- approximate inference
- learning process
- graphical models
- structured prediction
- active learning
- learning algorithm
- probabilistic inference
- bayesian networks
- reinforcement learning
- prior knowledge
- dynamic bayesian networks
- belief propagation
- random variables
- least squares
- incremental learning
- conditional random fields
- graph cuts
- level set
- free energy
- linear gaussian